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Taylor B, Ofori KF, Parsaeimehr A, Akdemir Evrendilek G, Attarwala T, Ozbay G. Exploring the Complexities of Seafood: From Benefits to Contaminants. Foods 2025; 14:1461. [PMID: 40361542 PMCID: PMC12071223 DOI: 10.3390/foods14091461] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2025] [Revised: 04/08/2025] [Accepted: 04/16/2025] [Indexed: 05/15/2025] Open
Abstract
Seafood plays a vital role in human diets worldwide, serving as an important source of high-quality protein, omega-3 fatty acids, and essential vitamins and minerals that promote health and prevent various chronic conditions. The health benefits of seafood consumption are well documented, including a reduced risk of cardiovascular diseases, improved cognitive function, and anti-inflammatory effects. However, the safety of seafood is compromised by multiple hazards that can pose significant health risks. Pathogenic microorganisms, including bacteria, viruses, and parasites, in addition to microbial metabolites, are prominent causes of the foodborne diseases linked to seafood consumption, necessitating reliable detection and monitoring systems. Molecular biology and digital techniques have emerged as essential tools for the rapid and accurate identification of these foodborne pathogens, enhancing seafood safety protocols. Additionally, the presence of chemical contaminants such as heavy metals (e.g., mercury and lead), microplastics, and per- and polyfluoroalkyl substances (PFASs) in seafood is of increasing concern due to their potential to accumulate in the food chain and adversely affect human health. The biogenic amines formed during the microbial degradation of the proteins and allergens present in certain seafood species also contribute to food safety challenges. This review aims to address the nutritional value and health-promoting effects of seafood while exploring the multifaceted risks associated with microbial contamination, chemical pollutants, and naturally occurring substances. Emphasis is placed on enhanced surveillance, seafood traceability, sustainable aquaculture practices, and regulatory harmonization as effective strategies for controlling the risks associated with seafood consumption and thereby contributing to a safer seafood supply chain.
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Affiliation(s)
- Bettina Taylor
- Human Ecology Department, Delaware State University, Dover, DE 19901, USA;
| | - Kelvin Fynn Ofori
- Integrative PhD Program in Agriculture, Food and Environmental Sciences, College of Agriculture, Science and Technology, Delaware State University, Dover, DE 19901, USA;
| | - Ali Parsaeimehr
- Department of Agriculture and Natural Resources, Delaware State University, Dover, DE 19901, USA; (A.P.); (T.A.)
| | | | - Tahera Attarwala
- Department of Agriculture and Natural Resources, Delaware State University, Dover, DE 19901, USA; (A.P.); (T.A.)
| | - Gulnihal Ozbay
- Human Ecology Department, Delaware State University, Dover, DE 19901, USA;
- Integrative PhD Program in Agriculture, Food and Environmental Sciences, College of Agriculture, Science and Technology, Delaware State University, Dover, DE 19901, USA;
- Department of Agriculture and Natural Resources, Delaware State University, Dover, DE 19901, USA; (A.P.); (T.A.)
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2
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Qiu H, Chen H, Huang G, Zhai R, Qiu H, Kong F, Hu S. Extracellular nucleic acid-triggered precision responsive antibacterial strategy. J Appl Microbiol 2025; 136:lxaf088. [PMID: 40205521 DOI: 10.1093/jambio/lxaf088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2025] [Revised: 04/01/2025] [Accepted: 04/08/2025] [Indexed: 04/11/2025]
Abstract
AIMS The emergence of antibiotic-resistant bacteria in recent years has underscored the urgent need for novel, precision-targeted antibacterial strategies. To address this critical challenge, our study designed a responsive antibacterial system that achieves precise bacterial eradication by conjugating antibacterial agents to nucleic acid probes wherein drug release is specifically triggered by extracellular nucleic acids. METHODS AND RESULTS This innovative design utilizes toehold-mediated strand displacement to enable single-nucleotide precision targeting of bacterial sequences, thereby ensuring highly specific and quantitative drug release. And drug release is specifically triggered by extracellular nucleic acids. Comprehensive evaluations, including bacterial growth inhibition curves, inhibition zone measurements, and fluorescence staining assays, demonstrated the exceptional stability and selectivity. Furthermore, the practicality of this strategy was validated in spiked environmental water samples, where significant antibacterial efficacy was observed, highlighting its real-world applicability. CONCLUSIONS The assembly, identification, and drug release process of this new antibacterial strategy have been thoroughly verified, showing excellent stability and selectivity, and also having excellent effects on the actual environment.
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Affiliation(s)
- Haiyan Qiu
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
| | - Huiping Chen
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
| | - Guanze Huang
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
| | - Ruonan Zhai
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
| | - Hongzhao Qiu
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
| | - Fenying Kong
- School of Chemistry and Chemical Engineering, Yancheng Institute of Technolgy, Yancheng 224051, P.R. China
| | - Shanwen Hu
- Department of Health Inspection and Quarantine, School of Public Health, Fujian Medical University, Fuzhou, Fujian 350122, P.R. China
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3
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Xue X, Zhang Y. Review of the detection of pathogenic Escherichia coli based-microchip technology. ANAL SCI 2025; 41:225-236. [PMID: 39654011 DOI: 10.1007/s44211-024-00693-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Accepted: 11/12/2024] [Indexed: 02/18/2025]
Abstract
Escherichia coli (E. coli) is a pathogen that has generated global concern due to the public health challenges it has created. Therefore, the rapid and accurate detection of E. coli is important to public health safety. Microchips have become a popular analytical technique for detecting E. coli due to their automation, high analytical efficiency, and low analyte consumption. Therefore, this paper highlights multiple microchip-based strategies for the detection of E. coli, reviews their limitations, and provides strategies and future perspectives for analyzing E. coli..
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Affiliation(s)
- Xudong Xue
- Xi'an Innovation College of Yan'an University, Xi'an, 710100, China
| | - Yan Zhang
- Science of Faculty, Kunming University of Science and Technology, Kunming, 650500, China.
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4
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Chen L, Cheng H, Hu R, Zhao Y, Huang J, Liu JH, Huang CZ, Yang T. Kirkendall Effect-Mediated Transformation of ZIF-67 to NiCo-LDH Nanocages as Oxidase Mimics for Multicolor Point-of-Care Testing of β-Galactosidase Activity and Escherichia coli. Anal Chem 2025; 97:2853-2862. [PMID: 39869181 DOI: 10.1021/acs.analchem.4c05379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
Early and portable detection of pathogenic bacteria is crucial for ensuring food safety, monitoring product quality, and tracing the sources of bacterial infections. Moving beyond traditional plate-culture counting methods, the analysis of active bacterial components offers a rapid means of quantifying bacteria. Here, metal-organic framework (MOF)-derived NiCo-layered double hydroxide nanosheets (LDHs), synthesized via the Kirkendall effect, were employed as highly effective oxidase mimics to generate reactive oxygen species (ROS). These ROS quickly etched gold nanobipyramids (Au NBPs), producing a vivid multicolormetric response. Experimental results and theoretical calculations indicated that the exceptional oxidase-like activity of NiCo-LDHs stemmed from the presence of bimetallic active sites and oxygen vacancies modulating the local electronic structure of LDHs. Additionally, β-galactosidase (β-Gal), a biomarker of Escherichia coli, reacted with p-aminophenyl-β-d-galactopyranoside (PAPG) to form p-aminophenol (PAP), a reducing agent which consumes ROS, thereby inhibiting the etching of Au NBPs. Furthermore, a three-dimensional (3D)-printed point-of-care testing (POCT) shell was designed as a portable device to visually detect β-Gal and E. coli in conjugation with smartphones. This study not only provides a novel approach to the rational design of nanozymes but also establishes a vivid and portably visual biosensing platform for detecting β-Gal activity and pathogenic bacteria.
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Affiliation(s)
- Lu Chen
- Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China
| | - Huan Cheng
- Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China
| | - Rong Hu
- Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China
| | - Yan Zhao
- Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China
| | - Jingtao Huang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Jia Hui Liu
- Institute of Biomedical Engineering, Kunming Medical University, Kunming 650500, P. R. China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Tong Yang
- Yunnan Key Laboratory of Modern Separation Analysis and Substance Transformation, College of Chemistry and Chemical Engineering, Yunnan Normal University, Kunming 650500, Yunnan Province, P. R. China
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Myndrul V, Arreguin-Campos R, Iatsunskyi I, Di Scala F, Eersels K, van Grinsven B. Photonic sensor based on surface imprinted polymers for enhanced point-of-care diagnosis of bacterial urinary tract infections. Biosens Bioelectron 2025; 268:116916. [PMID: 39522468 DOI: 10.1016/j.bios.2024.116916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 10/08/2024] [Accepted: 11/04/2024] [Indexed: 11/16/2024]
Abstract
Effective bacterial detection is crucial for health diagnostics, particularly for the detection of pathogenic species like Escherichia coli (E. coli), which is responsible for up to 90% of urinary tract infections (UTIs), is especially crucial. Current detection methods are time-consuming, often delaying diagnosis and treatment. This study introduces an innovative approach for rapid E. coli detection using porous silicon (PSi) substrates combined with Surface Imprinted Polymers (SIPs) for photoluminescence-based (PL-based) E. coli detection. The PSi/SIP substrates offer high sensitivity, selectivity, and a low limit of detection (LOD) without the need for natural recognition elements. These substrates, fabricated via metal-assisted chemical etching (MACE) and PDMS-based E. coli imprinting, demonstrate reliable repeatability and a fast detection. Real-time detection experiments in phosphate-buffered saline (PBS) and urine showed consistent stair-like quenching of the PL signal with increasing E. coli concentrations, achieving theoretical LODs of approximately 13 ± 2 CFU/mL in PBS and 17 ± 3 CFU/mL in urine. The substrates exhibited excellent selectivity, differentiating E. coli from other species such as Cronobacter sakazakii (C. sakazakii) and Listeria monocytogenes. The high sensitivity and reproducibility of PSi/SIP substrates, along with the ease of use and rapid detection capabilities of the resulting sensor, highlight the potential of this novel platform for point-of-care (PoC) applications in clinical diagnostics.
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Affiliation(s)
- Valerii Myndrul
- Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, the Netherlands.
| | - Rocio Arreguin-Campos
- Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Igor Iatsunskyi
- NanoBioMedical Centre, Adam Mickiewicz University, 3, Wszechnicy Piastowskiej Str., 61 614, Poznan, Poland
| | - Flavia Di Scala
- Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Kasper Eersels
- Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
| | - Bart van Grinsven
- Sensor Engineering Department, Faculty of Science and Engineering, Maastricht University, P.O. Box 616, 6200 MD, Maastricht, the Netherlands
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6
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Oushyani Roudsari Z, Karami Y, Khoramrooz SS, Rouhi S, Ghasem H, Khatami SH, Alizadeh M, Ahmad Khosravi N, Mansoriyan A, Ghasemi E, Movahedpour A, Dargahi Z. Electrochemical and optical biosensors for the detection of E. Coli. Clin Chim Acta 2025; 565:119984. [PMID: 39401653 DOI: 10.1016/j.cca.2024.119984] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Revised: 09/30/2024] [Accepted: 09/30/2024] [Indexed: 10/18/2024]
Abstract
E. coli is a common pathogenic microorganism responsible for numerous food and waterborne illnesses. Traditional detection methods often require long, multi-step processes and specialized equipment. Electrochemical and optical biosensors offer promising alternatives due to their high sensitivity, selectivity, and real-time monitoring capabilities. Recent advancements in sensor development focus on various techniques for detecting E. coli, including optical (fluorescence, colorimetric analysis, surface-enhanced Raman spectroscopy, surface plasmon resonance, localized surface plasmon resonance, chemiluminescence) and electrochemical (amperometric, voltammetry, impedance, potentiometric). Herein, the latest advancements in optical and electrochemical biosensors created for identifying E. coli with an emphasis on surface modifications employing nanomaterials and biomolecules are outlined in this review. Electrochemical biosensors exploit the unique electrochemical properties of E. coli or its specific biomolecules to generate a measurable signal. In contrast, optical biosensors rely on interactions between E. coli and optical elements to generate a detectable response. Moreover, optical detection has been exploited in portable devices such as smart phones and paper-based sensors. Different types of electrodes, nanoparticles, antibodies, aptamers, and fluorescence-based systems have been employed to enhance the sensitivity and specificity of these biosensors. Integrating nanotechnology and biorecognition (which bind to a specific region of the E. coli) elements has enabled the development of portable and miniaturized devices for on-site and point-of-care (POC) applications. These biosensors have demonstrated high sensitivity and offer low detection limits for E. coli detection. The convergence of electrochemical and optical technologies promises excellent opportunities to revolutionize E. coli detection, improving food safety and public health.
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Affiliation(s)
- Zahra Oushyani Roudsari
- Department of Medical Biotechnology, School of Medicine, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Yousof Karami
- Student of Veterinary Medicine, Faculty of Veterinary Medicine, Shahid Bahonar University of Kerman, Kerman, Iran
| | | | - Saber Rouhi
- Resident of Large Animal Internal Medicine, Department of Clinical Sciences, School of Veterinary Medicine, Shiraz University, Iran
| | - Hassan Ghasem
- Research Center for Environmental Contaminants (RCEC), Abadan University of Medical Sciences, Abadan, Iran
| | - Seyyed Hossein Khatami
- Student Research Committee, Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Mehdi Alizadeh
- Department of Clinical Biochemistry, School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Nazanin Ahmad Khosravi
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | - Arezoo Mansoriyan
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
| | | | - Ahmad Movahedpour
- Cellular and Molecular Research Center, Yasuj University of Medical Sciences, Yasuj, Iran.
| | - Zahra Dargahi
- Department of Microbiology, School of Medicine, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
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7
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Soysaldı F, Dincyurek Ekici D, Soylu MÇ, Mutlugun E. Electrochemical and Optical Multi-Detection of Escherichia coli Through Magneto-Optic Nanoparticles: A Pencil-on-Paper Biosensor. BIOSENSORS 2024; 14:603. [PMID: 39727868 DOI: 10.3390/bios14120603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2024] [Revised: 11/24/2024] [Accepted: 12/03/2024] [Indexed: 12/28/2024]
Abstract
Escherichia coli (E. coli) detection suffers from slow analysis time and high costs, along with the need for specificity. While state-of-the-art electrochemical biosensors are cost-efficient and easy to implement, their sensitivity and analysis time still require improvement. In this work, we present a paper-based electrochemical biosensor utilizing magnetic core-shell Fe2O3@CdSe/ZnS quantum dots (MQDs) to achieve fast detection, low cost, and high sensitivity. Using electrochemical impedance spectroscopy (EIS) as the detection technique, the biosensor achieved a limit of detection of 2.7 × 102 CFU/mL for E. coli bacteria across a concentration range of 102-108 CFU/mL, with a relative standard deviation (RSD) of 3.5781%. From an optical perspective, as E. coli concentration increased steadily from 104 to 107 CFU/mL, quantum dot fluorescence showed over 60% lifetime quenching. This hybrid biosensor thus provides rapid, highly sensitive E. coli detection with a fast analysis time of 30 min. This study, which combines the detection advantages of electrochemical and optical biosensor systems in a graphite-based paper sensor for the first time, has the potential to meet the needs of point-of-care applications. It is thought that future studies that will aim to examine the performance of the production-optimized, portable, graphite-based sensor system on real food samples, environmental samples, and especially medical clinical samples will be promising.
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Affiliation(s)
- Furkan Soysaldı
- Biological and Medical Diagnostic Sensors Laboratory (BioMeD Sensors Lab), Department of Biomedical Engineering, Erciyes University, Kayseri 38030, Türkiye
- Department of Electronic and Automation, Vocational School, Nevsehir Haci Bektas Veli University, Nevsehir 50300, Türkiye
| | - Derya Dincyurek Ekici
- Department of Nanotechnology Engineering, Abdullah Gul University, Kayseri 38039, Türkiye
| | - Mehmet Çağrı Soylu
- Biological and Medical Diagnostic Sensors Laboratory (BioMeD Sensors Lab), Department of Biomedical Engineering, Erciyes University, Kayseri 38030, Türkiye
| | - Evren Mutlugun
- Department of Electrical-Electronics Engineering, Abdullah Gul University, Kayseri 38039, Türkiye
- UNAM-Institute of Materials Science and Nanotechnology, Bilkent University, Ankara 06800, Türkiye
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8
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Wang Z, Chen H, Hu A, Cui X, Shi C, Lu Z, Meng F, Lv F, Zhao H, Bie X. Establishment of LAMP-CRISPR/Cas12a for rapid detection of Escherichia coli O157:H7 and one-pot detection. Food Microbiol 2024; 124:104622. [PMID: 39244373 DOI: 10.1016/j.fm.2024.104622] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 08/18/2024] [Accepted: 08/23/2024] [Indexed: 09/09/2024]
Abstract
Escherichia coli O157:H7 is a pathogenic serotype of Escherichia coli. Consumption of food contaminated with E. coli O157:H7 could cause a range of diseases. Therefore, it is of great importance to establish rapid and accurate detection methods for E. coli O157:H7 in food. In this study, based on LAMP and combined with the CRISPR/cas12a system, a sensitive and specific rapid detection method for E. coli O157:H7 was established, and One-Pot detection method was also constructed. The sensitivity of this method could stably reach 9.2 × 10° CFU/mL in pure culture, and the whole reaction can be completed within 1 h. In milk, E. coli O157:H7 with an initial contamination of 7.4 × 10° CFU/mL only needed to be cultured for 3 h to be detected. The test results can be judged by the fluorescence curve or by visual observation under a UV lamp, eliminating instrument limitations and One-Pot detection can effectively prevent the problem of false positives. In a word, the LAMP-CRISPR/cas12a system is a highly sensitive and convenient method for detecting E. coli O157:H7.
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Affiliation(s)
- Zuwei Wang
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Huan Chen
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Antuo Hu
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Xinping Cui
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Changzheng Shi
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Zhaoxin Lu
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Fanqiang Meng
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Fengxia Lv
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Haizhen Zhao
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China
| | - Xiaomei Bie
- Nanjing Agricultural University, College of Food Science and Technology, Nanjing, 210095, PR China.
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9
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Meng M, Ma X, Yu L, Zhang X, Chen Y, Li W, Wen Q, Xu D, Chen Q, Xiong Y, Ren J. Phage-induced "one-to-many" FRET sensor for highly sensitive detection of Escherichia coli O157:H7. Biosens Bioelectron 2024; 264:116661. [PMID: 39142229 DOI: 10.1016/j.bios.2024.116661] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2024] [Revised: 08/09/2024] [Accepted: 08/09/2024] [Indexed: 08/16/2024]
Abstract
As a foodborne pathogen capable of causing severe illnesses, early detection of Escherichia coli O157:H7 (E. coli O157:H7) is crucial for ensuring food safety. While Förster resonance energy transfer (FRET) is an efficient and precise detection technique, there remains a need for amplification strategies to detect low concentrations of E. coli O157:H7. In this study, we presented a phage (M13)-induced "one to many" FRET platform for sensitively detecting E. coli O157:H7. The aptamers, which specifically recognize E. coli O157:H7 were attached to magnetic beads as capture probes for separating E. coli O157:H7 from food samples. The peptide O157S, which specifically targets E. coli O157:H7, and streptavidin binding peptide (SBP), which binds to streptavidin (SA), were displayed on the P3 and P8 proteins of M13, respectively, to construct the O157S-M13K07-SBP phage as a detection probe for signal output. Due to the precise distance (≈3.2 nm) between two neighboring N-terminus of P8 protein, the SA-labeled FRET donor and acceptor can be fixed at the Förster distance on the surface of O157S-M13K07-SBP via the binding of SA and SBP, inducing FRET. Moreover, the P8 protein, with ≈2700 copies, enabled multiple FRET (≈605) occurrences, amplifying FRET in each E. coli O157:H7 recognition event. The O157S-M13K07-SBP-based FRET sensor can detect E. coli O157:H7 at concentration as low as 6 CFU/mL and demonstrates excellent performance in terms of selectivity, detection time (≈3 h), accuracy, precision, practical application, and storage stability. In summary, we have developed a powerful tool for detecting various targets in food safety, environmental monitoring, and medical diagnosis.
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Affiliation(s)
- Meng Meng
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Xiaoyong Ma
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Liping Yu
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Xinfang Zhang
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Yanni Chen
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Wang Li
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Qian Wen
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Dong Xu
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China
| | - Qi Chen
- Institute of Translational Medicine, Nanchang University, Nanchang, 330031, China
| | - Ying Xiong
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China.
| | - Jiali Ren
- Hunan Key Laboratory of Forestry Edible Resources Safety and Processing, National Engineering Research Center of Rice and Byproducts Deep Processing, College of Food Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, 410004, China.
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10
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Bahlol HS, Li J, Deng J, Foda MF, Han H. Recent Progress in Nanomaterial-Based Surface-Enhanced Raman Spectroscopy for Food Safety Detection. NANOMATERIALS (BASEL, SWITZERLAND) 2024; 14:1750. [PMID: 39513830 PMCID: PMC11547707 DOI: 10.3390/nano14211750] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2024] [Revised: 10/03/2024] [Accepted: 10/26/2024] [Indexed: 11/16/2024]
Abstract
Food safety has recently become a widespread concern among consumers. Surface-enhanced Raman scattering (SERS) is a rapidly developing novel spectroscopic analysis technique with high sensitivity, an ability to provide molecular fingerprint spectra, and resistance to photobleaching, offering broad application prospects in rapid trace detection. With the interdisciplinary development of nanomaterials and biotechnology, the detection performance of SERS biosensors has improved significantly. This review describes the advantages of nanomaterial-based SERS detection technology and SERS's latest applications in the detection of biological and chemical contaminants, the identification of foodborne pathogens, the authentication and quality control of food, and the safety assessment of food packaging materials. Finally, the challenges and prospects of constructing and applying nanomaterial-based SERS sensing platforms in the field of food safety detection are discussed with the aim of early detection and ultimate control of foodborne diseases.
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Affiliation(s)
- Hagar S. Bahlol
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China; (H.S.B.); (J.L.); (J.D.)
- Department of Biochemistry, Faculty of Agriculture, Benha University, Moshtohor, Toukh 13736, Egypt
| | - Jiawen Li
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China; (H.S.B.); (J.L.); (J.D.)
| | - Jiamin Deng
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China; (H.S.B.); (J.L.); (J.D.)
| | - Mohamed F. Foda
- Department of Biochemistry, Faculty of Agriculture, Benha University, Moshtohor, Toukh 13736, Egypt
- National Key Laboratory of Crop Genetic Improvement, College of Life Science and Technology, Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan 430070, China
| | - Heyou Han
- National Key Laboratory of Agricultural Microbiology, College of Life Science and Technology, College of Chemistry, Huazhong Agricultural University, Wuhan 430070, China; (H.S.B.); (J.L.); (J.D.)
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11
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Yin W, Hu K, Yu B, Zhang T, Mei H, Zhang B, Zou Z, Xia L, Gui Y, Yin J, Jin W, Mu Y. Fast and sensitive detection of viable Escherichia coli O157:H7 using a microwell-confined and propidium monoazide-assisted digital CRISPR microfluidic platform. LAB ON A CHIP 2024; 24:4659-4668. [PMID: 39228336 DOI: 10.1039/d4lc00672k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2024]
Abstract
Escherichia coli O157:H7 is a major foodborne pathogen that poses a significant threat to food safety and human health. Rapid and sensitive detection of viable Escherichia coli O157:H7 can effectively prevent food poisoning. Here, we developed a microwell-confined and propidium monoazide-assisted digital CRISPR microfluidic platform for rapid and sensitive detection of viable Escherichia coli O157:H7 in food samples. The reaction time is significantly reduced by minimizing the microwell volume, yielding qualitative results in 5 min and absolute quantitative results in 15 min. With the assistance of propidium monoazide, this platform can eliminate the interference from 99% of dead Escherichia coli O157:H7. The direct lysis method obviates the need for a complex nucleic acid extraction process, offering a limit of detection of 3.6 × 101 CFU mL-1 within 30 min. Our results demonstrated that the platform provides a powerful tool for rapid detection of Escherichia coli O157:H7 and provides reliable guidance for food safety testing.
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Affiliation(s)
- Weihong Yin
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Kai Hu
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Bingwen Yu
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
- Huzhou Institute of Zhejiang University, Huzhou 313002, P. R. China
| | - Tao Zhang
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Haohua Mei
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Bowen Zhang
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Zheyu Zou
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Liping Xia
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Yehong Gui
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
| | - Juxing Yin
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
| | - Wei Jin
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
- Huzhou Institute of Zhejiang University, Huzhou 313002, P. R. China
| | - Ying Mu
- Research Centre for Analytical Instrumentation, State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, P. R. China.
- College of Life Sciences, Zhejiang University, Hangzhou, 310058, P. R. China
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12
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Cao L, Ren Y, Ling N, Ye Q, Wu Y, Zhao X, Gu Q, Wu S, Zhang Y, Wei X, Ye Y, Wu Q. An ultrasensitive smartphone-assisted bicolor-ratiometric fluorescence sensing platform based on a "noise purifier" for point-of-care testing of pathogenic bacteria in food. Food Chem 2024; 446:138805. [PMID: 38422639 DOI: 10.1016/j.foodchem.2024.138805] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/04/2024] [Accepted: 02/18/2024] [Indexed: 03/02/2024]
Abstract
Non-specific binding in fluorescence resonance energy transfer (FRET) remains a challenge in foodborne pathogen detection, resulting in interference of high background signals. Herein, we innovatively reported a dual-mode FRET sensor based on a "noise purifier" for the ultrasensitive quantification of Escherichia coli O157:H7 in food. An efficient FRET system was constructed with polymyxin B-modified nitrogen-sulfur co-doped graphene quantum dots (N, S-GQDs@PMB) as donors and aptamer-modified yellow carbon dots (Y-CDs@Apt) as acceptors. Magnetic multi-walled carbon nanotubes (Fe@MWCNTs) were employed as a "noise purifier" to reduce the interference of the fluorescence background. Under the background purification mode, the sensitivity of the dual-mode signals of the FRET sensor has increased by an order of magnitude. Additionally, smartphone-assisted colorimetric analysis enabled point-of-care detection of E. coli O157:H7 in real samples. The developed sensing platform based on a "noise purifier" provides a promising method for ultrasensitive on-site testing of trace pathogenic bacteria in various foodstuffs.
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Affiliation(s)
- Lulu Cao
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yuwei Ren
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Na Ling
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China
| | - Qinghua Ye
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yuwei Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Xinyu Zhao
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qihui Gu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shi Wu
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Youxiong Zhang
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Xianhu Wei
- Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Yingwang Ye
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China.
| | - Qingping Wu
- School of Food and Biological Engineering, Hefei University of Technology, Hefei 230009, China; Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, National Health Commission Science and Technology Innovation Platform for Nutrition and Safety of Microbial Food, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China.
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13
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Wang C, Deng R, Li H, Liu Z, Niu X, Li X. An integrated magnetic separation enzyme-linked colorimetric sensing platform for field detection of Escherichia coli O157: H7 in food. Mikrochim Acta 2024; 191:454. [PMID: 38976069 DOI: 10.1007/s00604-024-06497-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 06/07/2024] [Indexed: 07/09/2024]
Abstract
An intelligent colorimetric sensing platform integrated with in situ immunomagnetic separation function was developed for ultrasensitive detection of Escherichia coli O157: H7 (E. coli O157: H7) in food. Captured antibody modified magnetic nanoparticles (cMNPs) and detection antibody/horseradish peroxidase (HRP) co-functionalized AuNPs (dHAuNPs) were firstly synthesized for targeted enrichment and colorimetric assay of E. coli O157: H7, in which remarkable signal amplification was realized by loading large amounts of HRP on the surface of AuNPs. Coupling with the optical collimation attachments and embedded magnetic separation module, a highly integrated optical device was constructed, by which in situ magnetic separation and high-quality imaging of 96-well microplates containing E. coli O157: H7 was achieved with a smartphone. The concentration of E. coli O157: H7 could be achieved in one-step by performing digital image colorimetric analysis of the obtained image with a custom-designed app. This biosensor possesses high sensitivity (1.63 CFU/mL), short detecting time (3 h), and good anti-interference performance even in real-sample testing. Overall, the developed method is expected to be a novel field detection platform for foodborne pathogens in water and food as well as for the diagnosis of infections due to its portability, ease of operation, and high feasibility.
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Affiliation(s)
- Chunxin Wang
- Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China
| | - Rong Deng
- Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
| | - Haiqin Li
- Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China
| | - Zhigang Liu
- Analysis & Testing Center, Jilin Institute of Chemical Technology, Jilin, 132000, Jilin, China
| | - Xiaofeng Niu
- Taiyuan Liuweizhai Industrial Co., Ltd, Taiyuan, 030024, Shanxi, China
| | - Xiaochun Li
- Institute of Biomedical Precision Testing and Instrumentation, College of Biomedical Engineering, Taiyuan University of Technology, Jinzhong, 030600, Shanxi, China.
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14
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Wang P, Liu Y, Li X, Li C, Li G. A ratiometric SERS aptasensor based on catalytic hairpin self-assembly mediated cyclic signal amplification strategy for the reliable determination of E. coli O157:H7. Mikrochim Acta 2024; 191:441. [PMID: 38954045 DOI: 10.1007/s00604-024-06475-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2024] [Accepted: 05/31/2024] [Indexed: 07/04/2024]
Abstract
A ratiometric SERS aptasensor based on catalytic hairpin self-assembly (CHA) mediated cyclic signal amplification strategy was developed for the rapid and reliable determination of Escherichia coli O157:H7. The recognition probe was synthesized by modifying magnetic beads with blocked aptamers, and the SERS probe was constructed by functionalizing gold nanoparticles (Au NPs) with hairpin structured DNA and 4-mercaptobenzonitrile (4-MBN). The recognition probe captured E. coli O157:H7 specifically and released the blocker DNA, which activated the CHA reaction on the SERS probe and turned on the SERS signal of 6-carboxyl-x-rhodamine (ROX). Meanwhile, 4-MBN was used as an internal reference to calibrate the matrix interference. Thus, sensitive and reliable determination and quantification of E. coli O157:H7 was established using the ratio of the SERS signal intensities of ROX to 4-MBN. This aptasensor enabled detection of 2.44 × 102 CFU/mL of E. coli O157:H7 in approximately 3 h without pre-culture and DNA extraction. In addition, good reliability and excellent reproducibility were observed for the determination of E. coli O157:H7 in spiked water and milk samples. This study offered a new solution for the design of rapid, sensitive, and reliable SERS aptasensors.
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Affiliation(s)
- Panxue Wang
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, P. R. China
| | - Ying Liu
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, P. R. China
| | - Xiang Li
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, P. R. China
| | - Cen Li
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, P. R. China
| | - Guoliang Li
- School of Food Science and Engineering, Shaanxi University of Science & Technology, Xi'an, 710021, P. R. China.
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15
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Liu S, Ma J, He F. A New SPQC Biosensor for the Detection of a New Target of Escherichia/Shigella Genera Based on a Novel Method of Synthesizing Long-Range DNA. Anal Chem 2024; 96:9826-9833. [PMID: 38829542 DOI: 10.1021/acs.analchem.4c00071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
The rapid and sensitive detection of Escherichia/Shigella genera is crucial for human disease and health. This study introduces a novel series of piezoelectric quartz crystal (SPQC) sensors for detecting Escherichia/Shigella genera. In this innovative biosensor, we propose a new target and novel method for synthesizing long-range DNA. The method relies on the amplification of two DNA probes, referred to as H and P amplification (HPA), resulting in the products of long-range DNA named Sn. The new target was screened from the 16S rRNA gene and utilized as a biomarker. The SPQC sensor operates as follows: the Capture probe is modified on the electrodes. In the presence of a Displace probe and target, the Capture can form a complex with the Displace probe. The resulting complex hybridizes with Sn, bridging the gap between the electrodes. Finally, silver wires are deposited between the electrodes using Sn as a template. This process results in a sensitive response from the SPQC. The detection limit of the SPQC sensor is 1 CFU/mL, and the detection time is within 2 h. This sensor would be of great benefit for food safety monitoring and clinical diagnosis.
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Affiliation(s)
- Shuyi Liu
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Jinxia Ma
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
| | - Fengjiao He
- State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan University, Changsha 410082, P.R. China
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16
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Luo J, Xu D, Wang J, Liu H, Li Y, Zhang Y, Zeng H, Deng B, Liu X. A Dual-mode platform for the rapid detection of Escherichia coli O157:H7 based on CRISPR/Cas12a and RPA. Anal Bioanal Chem 2024; 416:3509-3518. [PMID: 38647692 DOI: 10.1007/s00216-024-05301-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/20/2024] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) is a foodborne pathogenic microorganism that is commonly found in the environment and poses a significant threat to human health, public safety, and economic stability worldwide. Thus, early detection is essential for E. coli O157:H7 control. In recent years, a series of E. coli O157:H7 detection methods have been developed, but the sensitivity and portability of the methods still need improvement. Therefore, in this study, a rapid and efficient testing platform based on the CRISPR/Cas12a cleavage reaction was constructed. Through the integration of recombinant polymerase amplification and lateral flow chromatography, we established a dual-interpretation-mode detection platform based on CRISPR/Cas12a-derived fluorescence and lateral flow chromatography for the detection of E. coli O157:H7. For the fluorescence detection method, the limits of detection (LODs) of genomic DNA and E. coli O157:H7 were 1.8 fg/µL and 2.4 CFU/mL, respectively, within 40 min. Conversely, for the lateral flow detection method, LODs of 1.8 fg/µL and 2.4 × 102 CFU/mL were achieved for genomic DNA and E. coli O157:H7, respectively, within 45 min. This detection strategy offered higher sensitivity and lower equipment requirements than industry standards. In conclusion, the established platform showed excellent specificity and strong universality. Modifying the target gene and its primers can broaden the platform's applicability to detect various other foodborne pathogens.
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Affiliation(s)
- Jiawei Luo
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Danhong Xu
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Jinbin Wang
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China
- Shanghai Co-Elite Agricultural Sci-Tech (Group) Co. Ltd., Shanghai, China
- School of Public Health, Academician Workstation, Changsha Medical University, Changsha, China
| | - Hua Liu
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - You Li
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Yan Zhang
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China
| | - Haijuan Zeng
- The Biotechnology Research Institute, Shanghai Academy of Agricultural Sciences, Key Laboratory of Agricultural Genetics and Breeding, Shanghai, China.
- Crops Ecological Environment Security Inspection and Supervision Center (Shanghai), Ministry of Agriculture and Rural Affairs, Shanghai, China.
- Shanghai Co-Elite Agricultural Sci-Tech (Group) Co. Ltd., Shanghai, China.
- School of Public Health, Academician Workstation, Changsha Medical University, Changsha, China.
| | - Bo Deng
- Shanghai Center of Agri-Products Quality and Safety, Shanghai, China.
| | - Xiaofeng Liu
- Lanzhou University of Technology, School of Life Science and Engineering, Lanzhou, China.
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17
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Cao M, Deng W, Zhu Z, Ma C, Bai J, Emran MY, Kotb A, Sun M, Zhou M. A Fully Integrated Handheld Electrochemical Sensing Platform for Point-of-Care Testing of Escherichia coli O157:H7. Anal Chem 2024; 96:5340-5347. [PMID: 38501977 DOI: 10.1021/acs.analchem.4c00776] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/20/2024]
Abstract
Fully integrated devices that enable full functioning execution without or with minimum external accessories or equipment are deemed to be one of the most desirable and ultimate objectives for modern device design and construction. Escherichia coli O157:H7 (E. coli O157:H7) is often linked to outbreaks caused by contaminated water and food. However, the sensors that are currently used for point-of-care E. coli O157:H7 (E. coli O157:H7) detection are often large and cumbersome. Herein, we demonstrate the first example of a handheld and pump-free fully integrated electrochemical sensing platform with the capability to point-of-care test E. coli O157:H7 in the actual samples of E. coli O157:H7-spiked tap water and E. coli O157:H7-spiked watermelon juice. This platform was made possible by overcoming major engineering challenges in the seamless integration of a microfluidic module for pump-free liquid sample collection and transportation, a sensing module for efficient E. coli O157:H7 testing, and an electronic module for automatically converting and wirelessly transmitting signals into a single and compact electrochemical sensing platform that retains its inimitable stand-alone, handheld, pump-free, and cost-effective feature. Although our primary emphasis in this study is on detecting E. coli O157:H7, this pump-free fully integrated handheld electrochemical sensing platform may also be used to monitor other pathogens in food and water by including specific antipathogen antibodies.
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Affiliation(s)
- Mengzhu Cao
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Wei Deng
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Ziyu Zhu
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Chongbo Ma
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Jing Bai
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Mohammed Y Emran
- Chemistry Department, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt
| | - Ahmed Kotb
- Chemistry Department, Faculty of Science, Al-Azhar University, Assiut 71524, Egypt
| | - Mimi Sun
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
| | - Ming Zhou
- Key Laboratory of Polyoxometalate and Reticular Material Chemistry of Ministry of Education, Key Laboratory of Nanobiosensing and Nanobioanalysis at Universities of Jilin Province, Analysis and Testing Center, Department of Chemistry, Northeast Normal University, Changchun, Jilin Province 130024, China
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18
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Zhao D, Liu H, Zhang C, Xiao X, He Z. UV-induced oxidase activity of carbon dots in visible UVA dosage, Escherichia coli quantification and bacterial typing. Anal Chim Acta 2024; 1288:342140. [PMID: 38220275 DOI: 10.1016/j.aca.2023.342140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Revised: 12/06/2023] [Accepted: 12/13/2023] [Indexed: 01/16/2024]
Abstract
Ultraviolet (UV) light and foodborne pathogenic bacteriais are an important risk to the environment's safety. They endanger human health, and also lead to outbreaks of infectious disease, posing great threats to global public health security, national economy, and social stability. The appearance of carbon dot (CD) nanozymes offers a new perspective to solve the problems of detection of UV light and pathogenic bacteria in environment. This paper reports the preparation of CDs with dual enzyme-like activities (superoxide dismutase activity and UV-induced oxidase activity). The product can catalyze the oxidation of the substrate 3, 3', 5, 5'-tetramethylbenzidine (TMB) under UV light (365 nm) to achieve rapid color development. Based on the excellent fluorescence properties of CDs, the colorimetric-fluorescence dual-channel real-time detection of UVA dose was realized, the mechanism underlying the catalytic oxidation of TMB by UV-induced oxidase CDs was also investigated. Furthermore, a portable CDs-TMB-PA hydrogel was prepared which could realize the real-time monitoring of UV in outdoor environment with the assistance of smartphone. Based on the pH dependency of the CD nanozymes and specific glycolytic response of the pathogenic bacteria Escherichia coli (E. coli) O157:H7, the direct, simple, quick, and sensitive typing and detection have been realized. This research offers new perspectives for studying CD nanozymes and their applications in UV and bacterial detection, demonstrating the remarkable potential of CD nanozymes in detecting environmental hazards.
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Affiliation(s)
- Dan Zhao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Huan Liu
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Changpeng Zhang
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Xincai Xiao
- School of Pharmaceutical Sciences, South-Central Minzu University, Wuhan, 430074, PR China
| | - Zhike He
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan, 430072, PR China; Wuhan Research Center for Infectious Diseases and Cancer, Chinese Academy of Medical Sciences, Wuhan, 430071, PR China.
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19
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Xie M, Zhu Y, Li Z, Yan Y, Liu Y, Wu W, Zhang T, Li Z, Wang H. Key steps for improving bacterial SERS signals in complex samples: Separation, recognition, detection, and analysis. Talanta 2024; 268:125281. [PMID: 37832450 DOI: 10.1016/j.talanta.2023.125281] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/09/2023] [Accepted: 10/05/2023] [Indexed: 10/15/2023]
Abstract
Rapid and reliable detection of pathogenic bacteria is absolutely essential for research in environmental science, food quality, and medical diagnostics. Surface-enhanced Raman spectroscopy (SERS), as an emerging spectroscopic technique, has the advantages of high sensitivity, good selectivity, rapid detection speed, and portable operation, which has been broadly used in the detection of pathogenic bacteria in different kinds of complex samples. However, the SERS detection method is also challenging in dealing with the detection difficulties of bacterial samples in complex matrices, such as interference from complex matrices, confusion of similar bacteria, and complexity of data processing. Therefore, researchers have developed some technologies to assist in SERS detection of bacteria, including both the front-end process of obtaining bacterial sample data and the back-end data processing process. The review summarizes the key steps for improving bacterial SERS signals in complex samples: separation, recognition, detection, and analysis, highlighting the principles of each step and the key roles for SERS pathogenic bacteria analysis, and the interconnectivity between each step. In addition, the current challenges in the practical application of SERS technology and the development trends are discussed. The purpose of this review is to deepen researchers' understanding of the various stages of using SERS technology to detect bacteria in complex sample matrices, and help them find new breakthroughs in different stages to facilitate the detection and control of bacteria in complex samples.
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Affiliation(s)
- Maomei Xie
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yiting Zhu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zhiyao Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yueling Yan
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Yidan Liu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Wenbo Wu
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Tong Zhang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China
| | - Zheng Li
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
| | - Haixia Wang
- College of Pharmaceutical Engineering of Traditional Chinese Medicine (TCM), Tianjin University of TCM, Tianjin, 301617, China; Haihe Laboratory of Modern Chinese Medicine, Tianjin, 301617, China; State Key Laboratory of Component-based Chinese Medicine, Tianjin University of TCM, Tianjin, 301617, China.
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20
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Saleh RO, Almajidi YQ, Mansouri S, Hammoud A, Rodrigues P, Mezan SO, Maabreh HG, Deorari M, Shakir MN, Alasheqi MQ. Dual-mode colorimetric and fluorescence biosensors for the detection of foodborne bacteria. Clin Chim Acta 2024; 553:117741. [PMID: 38158002 DOI: 10.1016/j.cca.2023.117741] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 12/20/2023] [Accepted: 12/21/2023] [Indexed: 01/03/2024]
Abstract
Due to the growing demand for detection technologies, there has been significant interest in the development of integrated dual-modal sensing technologies, which involve combining two signal transduction channels into a single technique, particularly in the context of food safety. The integration of two detection signals not only improves diagnostic performance by reducing assumptions, but also enhances diagnostic functions with increased application flexibility, improved accuracy, and a wider detection linear range. The top two output signals for emerging dual-modal probes are fluorescent and colorimetric, due to their exceptional advantages for real-time sensitive sensing and point-of-care applications. With the rapid progress of nanotechnology and material chemistry, the integrated colorimetric/fluorimetric dual-mode systems show immense potential in sensing foodborne pathogenic bacteria. In this comprehensive review, we present a detailed summary of various colorimetric and fluorimetric dual-modal sensing methods, with a focus on their application in detecting foodborne bacteria. We thoroughly examine the sensing methodologies and the underlying principles of the signal transduction systems, and also discuss the challenges and future prospects for advancing research in this field.
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Affiliation(s)
- Raed Obaid Saleh
- Department of Medical Laboratory Techniques, Al-Maarif University College, Al-Anbar, Iraq
| | | | - Sofiene Mansouri
- Department of Biomedical Technology, College of Applied Medical Sciences in Al-Kharj, Prince Sattam bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia; University of Tunis El Manar, Higher Institute of Medical Technologies of Tunis, Laboratory of Biophysics and Medical Technologies, Tunis, Tunisia.
| | - Ahmad Hammoud
- Department of Medical and Technical Information Technology, Bauman Moscow State Technical University, Moscow, Russia; Department of Mathematics and Natural Sciences, Gulf University for Science and Technology, Mishref Campus, Kuwait.
| | - Paul Rodrigues
- Department of Computer Engineering, College of Computer Science, King Khalid University, Al-Faraa, KSA, Saudi Arabia
| | - Salim Oudah Mezan
- Optical Department, College of Health and Medical Technology, Al-Ayen University, Thi-Qar, Iraq; Republic of Iraq, Ministry of Education, Open Educational College, Studies Muthanna Centre, Iraq
| | - Hatem Ghaleb Maabreh
- RUDN University (Peoples' Friendship University of Russia named after Patrice Lumumba), department of dermatovenerology, foreign languages, Moscow, Russia
| | - Mahamedha Deorari
- Uttaranchal Institute of Pharmaceutical Sciences, Uttaranchal University, Dehradun, India
| | - Maha Noori Shakir
- Department of Medical Laboratories Technology, AL-Nisour University College, Baghdad, Iraq
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21
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Yao Y, Hou L, Wei F, Lin T, Zhao S. An intelligent readable and capture-antibody-independent lateral flow immunoassay based on Cu 2-xSe nanocrystals for point-of-care detection of Escherichia coli O157:H7. Analyst 2024; 149:357-365. [PMID: 38062973 DOI: 10.1039/d3an01694c] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2024]
Abstract
Escherichia coli (E. coli) O157:H7 is a common foodborne pathogen which can cause serious harm. It is particularly important to establish a simple and portable method to achieve on-site pathogen detection. In this study, a capture-antibody-independent lateral flow immunoassay (LFIA) was constructed based on Cu2-xSe nanocrystals (Cu2-xSe NCs) for rapid detection of E. coli O157:H7. Cu2-xSe NCs can not only be regarded as the "nano-antibody" for the recognition of E. coli O157:H7 through electrostatic adsorption, but also as nanozymes that show good peroxidase-like catalytic activity. The formed compound of E. coli O157:H7 and Cu2-xSe NCs would be captured by a detection antibody on the T line due to the specific recognition of the antibody and E. coli O157:H7. Then, Cu2-xSe NCs could catalyze the oxidation of TMB by H2O2 to generate oxTMB, thereby generating blue bands. Meanwhile, we developed a mobile app for rapid data analysis. Under the optimal reaction conditions, E. coli O157:H7 could be detected within 70 min. The detection limit of this method was 2.65 × 105 CFU mL-1 with good specificity and stability. Additionally, it could achieve on-site rapid detection of E. coli O157:H7 in environmental water samples, providing a promising biosensor for portable pathogen detection.
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Affiliation(s)
- Yiyun Yao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Li Hou
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Fenghuang Wei
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Tianran Lin
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
| | - Shulin Zhao
- School of Chemistry and Pharmaceutical Sciences, State Key Laboratory for Chemistry and Molecular Engineering of Medicinal Resources, Guangxi Normal University, Guilin 541004, People's Republic of China.
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Zhang G, Huang Z, Hu L, Wang Y, Deng S, Liu D, Peng J, Lai W. Molecular Engineering Powered Dual-Readout Point-of-Care Testing for Sensitive Detection of Escherichia coli O157:H7. ACS NANO 2023; 17:23723-23731. [PMID: 38009547 DOI: 10.1021/acsnano.3c07509] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/29/2023]
Abstract
Escherichia coli O157:H7 (E. coli O157:H7) has become one of the major threats to public health and food safety. However, the culture method as a gold standard for the detection of E. coli O157:H7 requires laborious operations and a long processing time. Herein, we developed a dual-readout aggregation-induced emission nanoparticle-based lateral flow immunoassay (LFIA) for sensitive detection of E. coli O157:H7 to achieve a qualitative and quantitative assay for satisfying the applications under varying scenarios. 2,3-Bis(4-(bis(4-(tert-butyl)phenyl)amino)phenyl)fumaronitrile (BAPF), an aggregation-induced emission luminogen, was designed to achieve a strong molar extinction coefficient (3.0 × 104 M-1 cm-1) and high quantum yield (33.28%), which was further verified by a large rotation angle and low energy gap. Subsequently, BAPFs were integrated into a nanostructured system to form excellent water-soluble nanoparticles (BAPFNPs) for the detection of E. coli O157:H7 with colorimetric and fluorescent readout. The designed BAPFNPs-based LFIA (BAPFNPs-LFIA) exhibited nearly qualitative ability with gold nanoparticles-LFIA (AuNPs-LFIA) and a 9 times enhancement compared with quantum beads-LFIA (QBs-LFIA) in quantitative aspect. Especially, FL-BAPFNPs-LFIA could detect E. coli O157:H7 earlier than QBs-LFIA and AuNPs-LFIA when samples with low E. coli O157:H7 concentrations were cultured. Overall, the proposed strategy revealed that versatile BAPFNPs have great potential as reporters for dual-readout ability and enhancing detection sensitivity for rapid and accurate pathogenic bacteria assay.
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Affiliation(s)
- Gan Zhang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Zhen Huang
- National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, Shenzhen, Guangdong Province 518112, China
| | - Liwen Hu
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Yumeng Wang
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Shengliang Deng
- Institute of Microbiology, Jiangxi Academy of Sciences, 330096 Nanchang, China
| | - Daofeng Liu
- Jiangxi Province Key Laboratory of Diagnosing and Tracing of Foodborne Disease, Jiangxi Province Center for Disease Control and Prevention, 555 East Beijing Road, Nanchang 330029, China
| | - Juan Peng
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
| | - Weihua Lai
- State Key Laboratory of Food Science and Resources, Nanchang University, 330047 Nanchang, China
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23
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Zheng L, Jin W, Xiong K, Zhen H, Li M, Hu Y. Nanomaterial-based biosensors for the detection of foodborne bacteria: a review. Analyst 2023; 148:5790-5804. [PMID: 37855707 DOI: 10.1039/d3an01554h] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2023]
Abstract
Ensuring food safety is a critical concern for the development and well-being of humanity, as foodborne illnesses caused by foodborne bacteria have increasingly become a major public health concern worldwide. Traditional food safety monitoring systems are expensive and time-consuming, relying heavily on specialized equipment and operations. Therefore, there is an urgent need to develop low-cost, user-friendly and highly sensitive biosensors for detecting foodborne bacteria. In recent years, the combination of nanomaterials with optical biosensors has provided a prospective future platform for the detection of foodborne bacteria. By harnessing the unique properties of nanomaterials, such as their high surface area-to-volume ratio and exceptional sensitivity, in tandem with the precision of optical biosensing techniques, a new prospect has opened up for the rapid and accurate identification of potential bacterial contaminants in food. This review focuses on recent advances and new trends of nanomaterial-based biosensors for the detection of foodborne pathogens, which mainly include noble metal nanoparticles (NMPs), metal organic frameworks (MOFs), graphene nanomaterials, quantum dot (QD) nanomaterials, upconversion fluorescent nanomaterials (UCNPs) and carbon dots (CDs). Additionally, we summarized the research progress of color indicators, nanozymes, natural enzyme vectors and fluorescent dye biosensors, focusing on the advantages and disadvantages of nanomaterial-based biosensors and their development prospects. This review provides an outlook on future technological directions and potential applications to help identify the most promising areas of development in this field.
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Affiliation(s)
- Lingyan Zheng
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Wen Jin
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Ke Xiong
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Hongmin Zhen
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
- Beijing Laboratory for Food Quality and Safety, Beijing Technology & Business University (BTBU), Beijing, 100048, China
- Beijing Innovation Centre for Food Nutrition and Human Health, Beijing Technology & Business University (BTBU), Beijing, 100048, China
| | - Mengmeng Li
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
| | - Yumeng Hu
- Beijing Engineering and Technology Research Centre of Food Additives, Beijing Technology & Business University (BTBU), Beijing, 100048, China.
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24
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Huo E, Shahab S, Dang H, Jia Q, Wang M. Triazine-based covalent-organic framework embedded with cuprous oxide as the bioplatform for photoelectrochemical aptasensing Escherichia coli. Mikrochim Acta 2023; 190:407. [PMID: 37731054 DOI: 10.1007/s00604-023-05987-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 09/04/2023] [Indexed: 09/22/2023]
Abstract
A superior photoelectrochemical (PEC) aptasensor was manufactured for the detection of Escherichia coli (E. coli) based on a hybrid of triazine-based covalent-organic framework (COF) and cuprous oxide (Cu2O). The COF synthesized using 1,3,5-tris(4-aminophenyl)-benzene (TAPB) and 1,3,5-triformylphloroglucinol (Tp) as building blocks acted as a scaffold for encapsulated Cu2O nanoparticles (denoted as Cu2O@TAPB-Tp-COF), which then was employed as the bioplatform for anchoring E. coli-targeted aptamer. Cu2O@Cu@TAPB-Tp-COF demonstrated enhanced separation of the photogenerated carriers and photoabsorption ability and boosted photoelectric conversion efficiency. The developed Cu2O@TAPB-Tp-COF-based PEC aptasensor exhibited a lower detection limit of 2.5 CFU mL-1 toward E. coli within a wider range of 10 CFU mL-1 to 1 × 104 CFU mL-1 than most of reported aptasensors for determining foodborne bacteria, together with high selectivity, good stability, and superior ability and reproducibility. The recoveries of E. coli spiked into milk and bread samples ranged within 95.3-103.6% and 96.6-102.8%, accompanying with low RSDs of 1.37-4.48% and 1.74-3.66%, respectively. The present study shows a promising alternative for the sensitive detection of foodborne bacteria from complex foodstuffs and pathogenic bacteria-polluted environment.
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Affiliation(s)
- Erfu Huo
- Henan Chemical Industry Institute Co. Ltd., Zhengzhou, People's Republic of China.
- Quality Inspection and Analytical Test Research Center, Henan Academy of Sciences, Zhengzhou, People's Republic of China.
| | - Siyamak Shahab
- Belarusian State University, ISEI BSU, Minsk, Republic of Belarus
| | - Hao Dang
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China
| | - Qiaojuan Jia
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China
| | - Minghua Wang
- College of Material and Chemical Engineering, Zhengzhou University of Light Industry, Zhengzhou, 450001, People's Republic of China.
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25
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Xing G, Shang Y, Ai J, Lin H, Wu Z, Zhang Q, Lin JM, Pu Q, Lin L. Nanozyme-Mediated Catalytic Signal Amplification for Microfluidic Biosensing of Foodborne Bacteria. Anal Chem 2023; 95:13391-13399. [PMID: 37610722 DOI: 10.1021/acs.analchem.3c03232] [Citation(s) in RCA: 24] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/24/2023]
Abstract
Early detection of foodborne bacteria is urgently needed to ensure food quality and to avoid the outbreak of foodborne bacterial diseases. Here, a kind of metal-organic framework (Zr-MOF) modified with Pt nanoparticles (Pt-PCN-224) was designed as a peroxidase-like signal amplifier for microfluidic biosensing of foodborne bacteria. Taking Escherichia coli (E. coli) O157:H7 as a model, a linear range from 2.93 × 102 to 2.93 × 108 CFU/mL and a limit of detection of 2 CFU/mL were obtained. The whole detection procedure was integrated into a single microfluidic chip. Water, milk, and cabbage samples were successfully detected, showing consistency with the results of the standard culture method. Recoveries were in the range from 90 to 110% in spiked testing. The proposed microfluidic biosensor realized the specific and sensitive detection of E. coli O157:H7 within 1 h, implying broad prospects of MOF with biomimetic enzyme activities for biosensing.
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Affiliation(s)
- Gaowa Xing
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yuting Shang
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Jiebing Ai
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Haifeng Lin
- Department of Bioengineering, Beijing Technology and Business University, Beijing 100048, China
| | - Zengnan Wu
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Qiang Zhang
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Jin-Ming Lin
- Beijing Key Laboratory of Microanalysis Methods and Instrumentation, Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Qiaosheng Pu
- College of Chemistry and Chemical Engineering, Lanzhou University, Lanzhou 730000, China
| | - Ling Lin
- Department of Bioengineering, Beijing Technology and Business University, Beijing 100048, China
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26
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Huang Y, Feng D, Li X, Li W, Ren J, Zhong H. Covalent organic frameworks assisted for food safety analysis. Crit Rev Food Sci Nutr 2023; 64:11006-11025. [PMID: 37417398 DOI: 10.1080/10408398.2023.2230506] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/08/2023]
Abstract
Food safety incidents threaten human health and life safety. It is an effective method to prevent and control the occurrence of food safety events by enhancing the rapid and sensitive detection of food contaminants. Emerging porous materials provide for the development of efficient and stable detection methods. Covalent organic frameworks (COFs) are favored by researchers for their highly ordered pore structure, large specific surface area, and good structural and functional designability. Especially in the sensing field, COFs play the roles of carriers, conductors, quenchers, and reporters, and have broad application prospects. To better understand COFs-based sensing studies, this review briefly introduces the characteristics and different functional roles of COFs in food safety analysis, focusing on the applications of COFs in the detection of various food contaminants (including foodborne pathogens, mycotoxins, pesticides, antibiotics, heavy metals, and others). Finally, the challenges and opportunities for COFs-based sensing are discussed to facilitate further applications and development of COFs in food safety.
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Affiliation(s)
- Ying Huang
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
| | - Donghui Feng
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
| | - Xu Li
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
| | - Wang Li
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
| | - Jiali Ren
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
| | - Haiyan Zhong
- Hunan Province Key Laboratory of Edible Forestry Resources Safety and Processing Utilization, National Engineering Laboratory for Deep Process of Rice and Byproducts, Central South University of Forestry and Technology, Changsha, PR China
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27
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Xiao S, Cao C, Ming T, Cao Y, Yu Z, Gan N. Simultaneous and rapid screening of live and dead E. coli O157:H7 with three signal outputs: An all-in-one biosensor using phage-apoferritin@CuO 2 signal tags on MXenes-modified electrode platform. JOURNAL OF HAZARDOUS MATERIALS 2023; 458:131875. [PMID: 37343409 DOI: 10.1016/j.jhazmat.2023.131875] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Revised: 06/05/2023] [Accepted: 06/14/2023] [Indexed: 06/23/2023]
Abstract
Simultaneous detection of live and dead bacteria is a huge challenge for food safety. To solve this issue, an all-in-one biosensor for bacteria was developed using the phage-apoferritin@CuO2 (phage-Apo@CP) probe on an antimicrobial peptide (AMP)/MXenes-modified detection platform. With the specific recognition of AMP and phage-Apo@CP, the biosensor for the target Escherichia coli O157:H7 (E. coli O157:H7) presented multi-mode (bioluminescent, colorimetric, and electrochemical) signals to simultaneously measure live and dead bacteria. The bioluminescent signal caused by the adenosine triphosphate (ATP) from the bacteria was used to quantify live bacteria. The colorimetric and voltammetric signals triggered by ·OH and Cu2+ from the probe with the assistance of acid could rapidly screen and quantitative determination of total E. coli O157:H7 concentration. Thus, the dead one was obtained according to the total and live ones. All three signals could be mutually corrected to improve the accuracy. The biosensor was successfully used for on-site measurement of live and dead E. coli O157:H7 in food samples with the limit of detection of 30 CFU/mL for live ones and 6 CFU/mL for total bacteria within 50 min. This work presents a novel pathway for rapid and simultaneous quantification of both live and dead bacteria.
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Affiliation(s)
- Shu Xiao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Cong Cao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Tinghong Ming
- School of Marine Sciences, Ningbo University, Ningbo 315211, China
| | - Yuting Cao
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China
| | - Zhenzhong Yu
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
| | - Ning Gan
- Key Laboratory of Advanced Mass Spectrometry and Molecular Analysis of Zhejiang Province, Institute of Mass Spectrometry, School of Materials Science and Chemical Engineering, Ningbo University, Ningbo 315211, China.
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28
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Shao Y, Wang Z, Xie J, Zhu Z, Feng Y, Yu S, Xue L, Wu S, Gu Q, Zhang J, Wu Q, Wang J, Ding Y. Dual-mode immunochromatographic assay based on dendritic gold nanoparticles with superior fluorescence quenching for ultrasensitive detection of E. coli O157:H7. Food Chem 2023; 424:136366. [PMID: 37201472 DOI: 10.1016/j.foodchem.2023.136366] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/30/2023] [Accepted: 05/10/2023] [Indexed: 05/20/2023]
Abstract
We presented a colorimetric/fluorescent dual-mode immunochromatographic assay (ICA) for the sensitive detection of Escherichia coli O157:H7. The use of polydopamine (PDA)-modified gold nanoparticles (AuNPs) with broadband absorption allowed for excellent colorimetry signals for the ICA detection. Moreover, the absorption spectrum of PDA-AuNPs significantly overlaps with the excitation and emission spectra of ZnCdSe/ZnS quantum dots (QDs), resulting in effective quenching of the QDs fluorescence due to the inner filter effect. The fluorescence intensity changes induced by PDA-AuNPs were utilized for the sensitive detection of E. coli O157:H7, achieving a detection limit of 9.06 × 101 CFU/mL, which was 46-fold lower than that of traditional AuNPs-based immunoassay. The proposed immunosensor exhibited the recovery rate between 80.12% and 114.69% in detecting actual samples, indicating its reliability and satisfactory accuracy. This study provides insights into dual-mode signal outputs and the ICA development for food safety applications.
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Affiliation(s)
- Yanna Shao
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zhengzheng Wang
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jihang Xie
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China; Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Zhenjun Zhu
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Ying Feng
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China
| | - Shubo Yu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Liang Xue
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Shi Wu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qihui Gu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Jumei Zhang
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Qingping Wu
- Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Safety and Health, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China
| | - Juan Wang
- College of Food Science, South China Agricultural University, Guangzhou 510432, China
| | - Yu Ding
- Department of Food Science and Engineering, Institute of Food Safety and Nutrition, College of Science and Engineering, College of Life Science and Technology, Jinan University, Guangzhou 510632, China.
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Zhou Q, Natarajan B, Kannan P. Nanostructured biosensing platforms for the detection of food- and water-borne pathogenic Escherichia coli. Anal Bioanal Chem 2023:10.1007/s00216-023-04731-6. [PMID: 37169938 DOI: 10.1007/s00216-023-04731-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Revised: 05/01/2023] [Accepted: 05/03/2023] [Indexed: 05/13/2023]
Abstract
Pathogenic bacterial infection is one of the principal causes affecting human health and ecosystems. The accurate identification of bacteria in food and water samples is of significant interests to maintain safety and health for humans. Culture-based tests are practically tedious and may produce false-positive results, while viable but non-culturable microorganisms (NCMs) cannot be retrieved. Thus, it requires fast, reliable, and low-cost detection strategies for on-field analysis and point-of-care (POC) monitoring. The standard detection methods such as nucleic acid analysis (RT-PCR) and enzyme-linked immunosorbent assays (ELISA) are still challenging in POC practice due to their time-consuming (several hours to days) and expensive laboratory operations. The optical (surface plasmon resonance (SPR), fluorescence, and surface-enhanced Raman scattering (SERS)) and electrochemical-based detection of microbes (early stage of infective diseases) have been considered as alternative routes in the emerging world of nanostructured biosensing since they can attain a faster and concurrent screening of several pathogens in real samples. Moreover, optical and electrochemical detection strategies are opening a new route for the ability of detecting pathogens through the integration of cellphones, which is well fitted for POC analysis. This review article covers the current state of sensitive mechanistic approaches for the screening and detection of Escherichia coli O157:H7 (E. coli) pathogens in food and water samples, which can be potentially applied in clinical and environmental monitoring.
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Affiliation(s)
- Qiang Zhou
- College of Biological, Chemical Sciences and Engineering, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China
| | - Bharathi Natarajan
- College of Medicine, Jiaxing University, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
| | - Palanisamy Kannan
- Department of Endocrinology, First Hospital of Jiaxing (Affiliated Hospital of Jiaxing University), 1882 Zhonghuan South Road, Jiaxing, Zhejiang Province, 314001, People's Republic of China.
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Su L, Liu B, Su Y, Tang D. NIR II light response-based PDA/AuPt@CuS composites: Simultaneous readout of temperature and pressure sensing strategy for portable detection of pathogenic bacteria. Talanta 2023; 260:124629. [PMID: 37149937 DOI: 10.1016/j.talanta.2023.124629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 04/23/2023] [Accepted: 05/02/2023] [Indexed: 05/09/2023]
Abstract
In this study, we developed a simultaneous readout of pressure and temperature dual-signals platform based on the second near-infrared (NIR II) light response-based polydopamine (PDA)-functionalized-AuPt nanoparticles (NPs)@CuS nanosheets (PDA/AuPt@CuS NS) composite. Due to the excellent NIR photothermal performance of PDA/AuPt@CuS NS, it contribute to the decomposition of H2O2 and NH4HCO3 to generate gases (including O2, CO2, and NH3) can be promoted, which can amplify the pressure signals in a sealed container. A sandwich mode is formed between Fe3O4 NPs and PDA/AuPt@CuS NS based on the dual-aptamer when target pathogenic bacteria is present. And, it is possible to convert the molecular recognition signals between the dual-aptamers into amplified pressures and temperatures, which can be read out by a portable pressure meter and smartphones simultaneously. It may offer the possibility for quantitative POCT analysis of Pathogenic Bacteria. Moreover, because of the high photothermal efficiency of this method, the developed dual-mode method can achieve that following the detection of bacteria and killing them immediately. As a result, secondary contamination is eliminated and bacterial transmission is avoided. The developed dual-signal sensing platform is also inexpensive, simple to operate and rapidly, indicating that it can be used for food safety analysis, clinical applications, and environmental monitoring.
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Affiliation(s)
- Lixia Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China
| | - Bingqian Liu
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China.
| | - Yonghuan Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, China
| | - Dianping Tang
- Key Laboratory of Analytical Science for Food Safety and Biology (MOE & Fujian Province), Department of Chemistry, Fuzhou University, Fuzhou, 350108, China
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Chen Y, Ma J, Yin X, Deng Z, Liu X, Yang D, Zhao L, Sun J, Wang J, Zhang D. Joint-detection of Salmonella typhimurium and Escherichia coli O157:H7 by an immersible amplification dip-stick immunoassay. Biosens Bioelectron 2023; 224:115075. [PMID: 36641877 DOI: 10.1016/j.bios.2023.115075] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2022] [Revised: 01/04/2023] [Accepted: 01/06/2023] [Indexed: 01/09/2023]
Abstract
To explore the superiority of multifunctional nanocomposites and realize the joint-detection of foodborne pathogens, an immersible amplification dip-stick immunoassay (DSIA) was exploited for the sensitive detection of Salmonella typhimurium (S. typhi) and Escherichia coli O157:H7 (E. coli O157:H7). Saving for the basic colorimetric performance, the reporter molecule of CoFe2O4 (CFO) possesses multivalent elements (Co2+/3+, Fe2+/3+) as well as multifunction of superior catalase-like activity and magnetic properties. By dint of the catalytic activity of CFO, a directly immersible amplification can be simply achieved to endure the DSIA with an intensive signal and a dual-visible mode for the determination of S. typhi and E. coli O157:H7. In virtue of the magnetic separation and enrichment capability of the CFO, the DSIA can perform a matrix-interference-free detection and obtain a dynamic detection range of 102-108 CFU/mL and a low assay limit of 102 CFU/mL. Moreover, the DSIA has reasonable recovery rates for contamination monitoring of two target bacteria in milk and beef samples. Our research provides a persuasive supplement for the application of multifunctional nanocomposites in the ongoing dip-stick immunoassay and an alternative strategy for the efficient detection of foodborne pathogens.
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Affiliation(s)
- Yaqian Chen
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Jiaqi Ma
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Xuechi Yin
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Ziai Deng
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Xiaojing Liu
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Di Yang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Lei Zhao
- Bio-Nanotechnology Research Institute, Ludong University, Yantai, 264025, Shandong, China.
| | - Jing Sun
- Qinghai Provincial Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining, 810008, Qinghai, China
| | - Jianlong Wang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China
| | - Daohong Zhang
- College of Food Science and Engineering, Northwest A&F University, 22 Xinong Road, Yangling, 712100, Shaanxi, China.
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A novel ADA-coated UCNPs@NB sensing platform combined with nucleic acid amplification for rapid detection of Escherichia coli. Anal Chim Acta 2023; 1239:340751. [PMID: 36628739 DOI: 10.1016/j.aca.2022.340751] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2022] [Revised: 12/11/2022] [Accepted: 12/26/2022] [Indexed: 12/28/2022]
Abstract
In this study, we reported a novel sensing platform based on fluorescence quenching composed of alendronic acid (ADA) coated upconversion nanoparticles (UCNPs) and Nile Blue (NB) combined with polymerase chain reaction (PCR) for rapid, sensitive, and specific detection of Escherichia coli (E. coli). As a fluorescence acceptor, NB has a broad absorption band and can quench upconversion fluorescence intensity at 544 nm and 658 nm based on IFE. PCR is a double-stranded DNA (dsDNA) amplification technique with high specificity. The NB-dsDNA complex can be formed by intercalation of NB between base pairs and groove of dsDNA, leading to upconversion fluorescence recovery. The ADA-coated UCNPs@NB sensing platform achieved to detect E. coli in 1.5 h, with a lower limit of detection (33 CFU mL-1). In addition, the sensitivity of the ADA@UCNPs-NB fluorescence sensor under different PCR cycle numbers was discussed. The results showed that the proposed sensor could effectively shorten the assay time (1.0 h) while maintaining excellent sensitivity. This study demonstrated a rapid and sensitive analytical method for detecting E. coli in chicken, providing a reference for constructing PCR fluorescence sensors.
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Su L, Liu B, Cui Y, Su Y. Colorimetric and handheld pH meter dual-signal readout platform for E. coli detection based on a cascade reaction. Mikrochim Acta 2023; 190:51. [PMID: 36633688 DOI: 10.1007/s00604-022-05614-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2022] [Accepted: 12/04/2022] [Indexed: 01/13/2023]
Abstract
A dual-signal readout has been designed detecting platform based on a cascade reaction for Escherichia coli (E. coli) detection by using colorimetric approach and a handheld pH meter. The immunoreaction was conducted using polydopamine@copper ferrite-Ag nanoparticles (PDA@CuFe2O4-Ag NP) and a glucose oxidase (GOD)-conjugated graphene oxide-gold nanosheet composite (GOD-GO/Au NS) to synthesize a sandwich complex mode between targets. Together with the formation of immune complexes, the GOD-GO/Au NS can catalyze glucose to produce gluconic acid and hydrogen peroxide (H2O2). The gluconic acid produced altered the pH of the detection solution. Since the PDA@CuFe2O4-Ag NP have good peroxidase-like activity, they can catalyze the oxidation of TMB to the blue product oxTMB once H2O2 is produced in the reaction system, and the absorbance change of oxTMB at 652 nm can be recorded using ultraviolet-visible (UV-Vis) spectroscopy. Interestingly, the PDA@CuFe2O4-Ag NP composites can consume the generated H2O2, and can create a reaction cycle that promotes glucose oxidation. Under optimal conditions, the proposed dual-channel signal platform is proportional to the logarithm of the E. coli concentration within a range of 102-107 cfu mL-1. Additionally, the devised approach was successfully used to detect E. coli at the required levels in real samples. This dual-mode detection method notably enhances the accuracy and diversity of detection, and curbs the false negative and positive rates.
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Affiliation(s)
- Lixia Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China
| | - Bingqian Liu
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China.
| | - Yuling Cui
- Jinan Center for Food and Drug Control, Jinan, 250102, Shandong, China
| | - Yonghuan Su
- Guizhou Engineering Laboratory for Synthetic Drugs (Ministry of Education of Guizhou Province), College of Pharmacy, Guizhou University, Guiyang, 550025, People's Republic of China
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Shao L, Xi Y, Weng Y. Recent Advances in PLA-Based Antibacterial Food Packaging and Its Applications. Molecules 2022; 27:molecules27185953. [PMID: 36144687 PMCID: PMC9502505 DOI: 10.3390/molecules27185953] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Revised: 09/06/2022] [Accepted: 09/09/2022] [Indexed: 11/20/2022] Open
Abstract
In order to reduce environmental pollution and resource waste, food packaging materials should not only have good biodegradable ability but also effective antibacterial properties. Poly(lactic acid) (PLA) is the most commonly used biopolymer for food packaging applications. PLA has good physical properties, mechanical properties, biodegradability, and cell compatibility but does not have inherent antibacterial properties. Therefore, antibacterial packaging materials based on PLA need to add antibacterial agents to the polymer matrix. Natural antibacterial agents are widely used in food packaging materials due to their low toxicity. The high volatility of natural antibacterial agents restricts their application in food packaging materials. Therefore, appropriate processing methods are particularly important. This review introduces PLA-based natural antibacterial food packaging, and the composition and application of natural antibacterial agents are discussed. The properties of natural antibacterial agents, the technology of binding with the matrix, and the effect of inhibiting various bacteria are summarized.
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Affiliation(s)
- Linying Shao
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
| | - Yuewei Xi
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
- Beijing Key Laboratory of Quality Evaluation Technology for Hygiene and Safety of Plastics, Beijing Technology and Business University, Beijing 100048, China
- Correspondence: (Y.X.); (Y.W.)
| | - Yunxuan Weng
- College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing 100048, China
- Beijing Key Laboratory of Quality Evaluation Technology for Hygiene and Safety of Plastics, Beijing Technology and Business University, Beijing 100048, China
- Correspondence: (Y.X.); (Y.W.)
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