1
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Xie Y, Huang J, Yang M, Zhang Y, Zhang X, Xu W, Cao J, Zhu L. Nucleic acid-mediated SERS Biosensors: Signal enhancement strategies and applications. Biosens Bioelectron 2025; 282:117519. [PMID: 40300343 DOI: 10.1016/j.bios.2025.117519] [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: 12/31/2024] [Revised: 04/08/2025] [Accepted: 04/25/2025] [Indexed: 05/01/2025]
Abstract
Surface Enhanced Raman Spectroscopy (SERS) is a powerful spectroscopic analysis technique applied in various fields due to its high selectivity, ultra-high sensitivity, and non-destructiveness. As natural biological macromolecules, nucleic acids perform a significant role in SERS biosensing. In this review, we first summarize how nucleic acids mediate the signal enhancement of SERS biosensors from three aspects: substrate self-assembly, analyte biorecognition, and molecular amplification. Among them, SERS substrates can be self-assembled by both DNA modification and coordination or electrostatic interactions. In the field of biorecognition, analyte biorecognition based on three nucleic acid recognition elements can enhance SERS signals by regulating the distance of analytes or Raman reporter molecules to the SERS substrate. In addition, nucleic acid-based enzyme and enzyme-free amplification can enhance SERS signals by enlarging the quantity of analytes or its nucleic acid intermediates. Subsequently, multidimensional applications of nucleic acid-mediated SERS signal enhancement in biomedicine, food safety, and environmental monitoring are listed. Finally, the current challenges and future exploration of nucleic acid-mediated SERS signal enhancement are discussed.
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Affiliation(s)
- Yushi Xie
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China
| | - Jiaqiang Huang
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China
| | - Min Yang
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China
| | - Yangzi Zhang
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China
| | - Xiaobo Zhang
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, 116600, China
| | - Wentao Xu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China; Beijing Laboratory for Food Quality and Safety, Key Laboratory of Safety Assessment of Genetically, Modified Organism (Food Safety), College of Food Science and Nutritional Engineering, China Agricultural University, Beijing, 100083, China; Key Laboratory of Geriatrics (Hepatobiliary Diseases), China General Technology Group, Beijing, 100073, China
| | - Jijuan Cao
- Key Laboratory of Biotechnology and Bioresources Utilization of Ministry of Education, Dalian Minzu University, Dalian, 116600, China.
| | - Longjiao Zhu
- Food Laboratory of Zhongyuan, Key Laboratory of Precision Nutrition and Food Quality, Department of Nutrition and Health, China Agricultural University, Beijing, 100193, China.
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2
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Zhao X, Lai X, Yan B, Cao P, Peng Y, Zhang R, Chen X, Chen D, Pei H, Wang Y, Wu Q, Qiao B. A novel photoelectrochemical biosensor for sensitive detection of nucleic acids based on recombinase polymerase amplification and 3D-array titania nanorods. Int J Biol Macromol 2025; 296:139528. [PMID: 39778823 DOI: 10.1016/j.ijbiomac.2025.139528] [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: 10/07/2024] [Revised: 11/22/2024] [Accepted: 01/03/2025] [Indexed: 01/11/2025]
Abstract
Nucleic acids detection is essential for diagnosing pathogens; however, traditional methods usually face challenges such as low sensitivity, lengthy reaction times, and strict temperature requirements. This study develops a novel photoelectrochemical (PEC) biosensor that integrates recombinase polymerase amplification (RPA) with a 3D-array titania (TiO2) nanorods nanorod electrode, addressing the challenge of achieving sensitive detection of RPA-amplified nucleic acids products, thereby enabling earlier and more reliable pathogen detection. The biosensor utilizes a triple-binding mode involving FITC antibodies, target nucleic acids, and an HRP-streptavidin sandwich structure, significantly improving the bio-functionalization of the electrode surface. The isothermal RPA process amplifies DNA at 37 °C within 20 min, while the TiO2 nanorods ensure efficient photoelectric conversion. The oxidation of 4-chloro-1-naphthol (4-CN) generates a signal-reducing benzo-4-chlorohexadienone (4-CD), enabling precise and sensitive detection. This PEC-RPA biosensor successfully detects Orientia tsutsugamushi (Ot) nucleic acids with a detection limit of 15 copies/μL within 60 min, demonstrating robust performance. The study provides a promising strategy for advancing pathogen nucleic acids diagnostic platforms and offers a versatile approach adaptable for detecting diverse pathogens.
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Affiliation(s)
- Xuan Zhao
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China; Key Laboratory of Emergency and Trauma of Ministry of Education, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China; Department of Clinical Laboratory, Affiliated Cancer Hospital, Hainan Medical University, Haikou 570311, PR China
| | - Xiangde Lai
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China; Key Laboratory of Emergency and Trauma of Ministry of Education, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China
| | - Bingdong Yan
- College of Science, Qiongtai Normal University, Haikou 571127, PR China
| | - Peipei Cao
- Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, School of Basic Medical Sciences and Life Sciences, Hainan Medical University, Haikou 571199, PR China
| | - Yanan Peng
- Key Laboratory of Advanced Materials of Tropical Island Resources, Ministry of Education, School of Materials Science and Engineering, Hainan University, Haikou 570228, PR China
| | - Rui Zhang
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China; Key Laboratory of Emergency and Trauma of Ministry of Education, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China
| | - Xinping Chen
- Department of Clinical Laboratory, Affiliated Cancer Hospital, Hainan Medical University, Haikou 570311, PR China
| | - Delun Chen
- Key Laboratory of Advanced Materials of Tropical Island Resources, Ministry of Education, School of Materials Science and Engineering, Hainan University, Haikou 570228, PR China
| | - Hua Pei
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China
| | - Yuanyuan Wang
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China.
| | - Qiang Wu
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China; Key Laboratory of Emergency and Trauma of Ministry of Education, The First Affiliated Hospital, Hainan Medical University, Haikou 570102, PR China.
| | - Bin Qiao
- NHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine & The Second Affiliated Hospital, Hainan Medical University, Haikou 571199, PR China.
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3
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Zhang R, Xie S, Yang X, Tang Y, Liu J, Liao M, Wang M, He Y. A SERS and colorimetric dual-mode biosensor based on stimulus-responsive DNA/MOF-bound bimetallic nanozyme for the ultrasensitive detection of chloramphenicol in food. Mikrochim Acta 2025; 192:62. [PMID: 39786667 DOI: 10.1007/s00604-024-06872-6] [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: 10/18/2024] [Accepted: 12/02/2024] [Indexed: 01/12/2025]
Abstract
A dual-mode detection platform utilizing colorimetric and Raman was developed based on the exponential amplification reaction (EXPAR) strategy and a "core-satellite" structure constructed by bimetallic nanozymes to detect chloramphenicol (CAP). Initially, DNA-gated metal-organic frameworks (MOFs) incorporating cascaded amplification were used to be nanocarriers for the colorimetric and Raman reporter molecules (3,3',5,5'-tetramethylbiphenyl; TMB). Subsequently, assembled DNA served as gatekeepers to create a stimulus-responsive DNA-gated MOF (TMB@DNA/MOF). Upon the introduction of the target, the efficient and isothermal EXPAR was initiated, producing numerous amplicons that facilitated the unlocking of pores and subsequent release of TMB. This process amplified the release signal, enhancing the selectivity and sensitivity of the biosensor. Moreover, through base complementary pairing, TMB@DNA/MOF and magnetic bimetallic nanozymes Fe3O4@MOF-gold nanostars (GNS) formed a stable "core-satellite" structure. The addition of H2O2 led to the oxidation of released TMB to oxTMB, resulting in a color change and generation of Raman signals. The biosensor exhibited excellent detection performance for CAP, with a colorimetric detection range of 1.00 × 10-4 ~ 2.50 × 10-7 M and a detection limit of 2.07 × 10-7 M, while the SERS detection range was 1.00 × 10-6 ~ 1.00 × 10-11 M with a detection limit of 9.74 × 10-12 M. Overall, this biosensor provided an effective method for detecting antibiotics in complex samples.
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Affiliation(s)
- Runzi Zhang
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China
| | - Shunbi Xie
- Key Laboratory for Resource Utilization of Heavy Metal Wastewater, Chongqing University of Arts and Sciences, Chongqing, 402160, People's Republic of China.
| | - Xiaoyu Yang
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China
| | - Youlin Tang
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China
| | - Jingwen Liu
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China
| | - Manjun Liao
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China
| | - Mengjun Wang
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China.
| | - Yi He
- School of Science, Xihua University, Chengdu, 610039, People's Republic of China.
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4
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Liu X, Zhang J, Chen Z, He X, Yan C, Lv H, Chen Z, Liu Y, Wang L, Song C. Branched hybridization chain reaction and tetrahedral DNA-based trivalent aptamer powered SERS sensor for ultra-highly sensitive detection of cancer-derived exosomes. Biosens Bioelectron 2025; 267:116737. [PMID: 39243449 DOI: 10.1016/j.bios.2024.116737] [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: 05/22/2024] [Revised: 08/15/2024] [Accepted: 09/02/2024] [Indexed: 09/09/2024]
Abstract
Exosomes have emerged as a promising noninvasive biomarker for early cancer diagnosis due to their ability to carry specific bioinformation related to cancer cells. However, accurate detection of trace amount of cancer-derived exosomes in complex blood remains a significant challenge. Herein, an ultra-highly sensitive SERS sensor, powered by the branched hybridization chain reaction (bHCR) and tetrahedral DNA-based trivalent aptamer (triApt-TDN), has been proposed for precise detection of cancer-derived exosomes. Taking gastric cancer SGC-7901 cells-derived exosomes as a test model, the triApt-TDNs were constructed by conjugating aptamers specific to mucin 1 (MUC1) protein with tetrahedral DNAs and subsequently immobilized on the surface of silver nanorods (AgNRs) arrays to create SERS-active sensing chips capable of specifically capturing exosomes overexpressing MUC1 proteins. The bHCR was further initiated by the trigger aptamers (tgApts) bound to exosomes, and as a result the SERS tags were assembled into AuNP network structures with abundant SERS hotspots. By optimizing the sensing conditions, the SERS sensor showed good performance in ultra-highly sensitive detection of target exosomes within 60 min detection time, with a broad response ranging of 1.44 to 1.44 × 104 particles·μL-1 and an ultralow limit of detection capable of detecting a single exosome in 2 μL sample. Furthermore, the SERS sensor exhibited good uniformity, repeatability and specificity, and capability to distinguish between gastric cancer (GC) patients and healthy controls (HC) through the detection of exosomes in clinical human serums, indicating its promising clinical potential for early diagnosis of gastric cancer.
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Affiliation(s)
- Xinyu Liu
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Jingjing Zhang
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
| | - Zeyan Chen
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Xiyu He
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Chenlong Yan
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Huiming Lv
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Zhilong Chen
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China
| | - Ying Liu
- Xuzhou College of Industrial Technology, Xuzhou, 221140, China.
| | - Lianhui Wang
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
| | - Chunyuan Song
- State Key Laboratory for Organic Electronics and Information Displays, Jiangsu Key Laboratory of Smart Biomaterials and Theranostic Technology, Institute of Advanced Materials (IAM), Jiangsu National Synergetic Innovation Center for Advanced Materials (SICAM), Nanjing University of Posts & Telecommunications, Nanjing, 210023, China.
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5
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Su Y, Jin X, Yang F, Liu X, Li F, Zhao Q, Hou J, Zhang S, Li H, Huang G, Fu R. A compact microfluidic platform for rapid multiplex detection of respiratory viruses via centrifugal polar-absorbance spectroscopy. Talanta 2024; 280:126733. [PMID: 39173249 DOI: 10.1016/j.talanta.2024.126733] [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: 06/07/2024] [Revised: 08/16/2024] [Accepted: 08/17/2024] [Indexed: 08/24/2024]
Abstract
Nucleic acid detection technology has become a crucial tool in cutting-edge research within the life sciences and clinical diagnosis domains. Its significance is particularly highlighted during the respiratory virus pandemic, where nucleic acid testing plays a pivotal role in accurately detecting the virus. Isothermal amplification technologies have been developed and offer advantages such as rapidity, mild reaction conditions and excellent stability. Among these methods, recombinase polymerase amplification (RPA) has gained significant attention due to its simple primer design and resistance to multiple reaction inhibitors. However, the detection of RPA amplicons hinders the widespread adoption of this technology, leading to a research focus on cost-effective and convenient detection methods for RPA nucleic acid testing. In this study, we propose a novel computational absorption spectrum approach that utilizes the polar GelRed dye to efficiently detect RPA amplicons. By exploiting the asymmetry of GelRed molecules upon binding with DNA, polar electric dipoles are formed, leading to precipitate formation through centrifugal vibration and electrostatic interaction. The quantification of amplicon content is achieved by measuring the residual GelRed concentration in the supernatant. Our proposed portable and integrated microfluidic device successfully detected five respiratory virus genes simultaneously. The optimized linear detection was achieved and the sensitivity for all the targets reached 100 copies/μL. The total experiment could be finished in 27 min. The clinical experiments demonstrated the practicality and accuracy. This cost-effective and convenient detection scheme presents a promising biosensor for rapid virus detection, contributing to the advancement of RPA technology.
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Affiliation(s)
- Ya Su
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Xiangyu Jin
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China
| | - Fan Yang
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 10081, China
| | - Xuekai Liu
- Clinical laboratory, Aerospace Center Hospital, Beijing, 100049, China
| | - Fenggang Li
- Beijing Advanced Innovation Center for Intelligent Robots and Systems, School of Mechatronical Engineering, Beijing Institute of Technology, Beijing, 10081, China
| | - Qingchen Zhao
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Jialu Hou
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China
| | - Shuailong Zhang
- School of Integrated Circuits and Electronics, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China; Chongqing Institute of Microelectronics and Microsystems, Beijing Institute of Technology, Chongqing, 400000, China
| | - Hang Li
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China
| | - Guoliang Huang
- School of Biomedical Engineering, Tsinghua University, Beijing, 100084, China.
| | - Rongxin Fu
- School of Medical Technology, Zhengzhou Academy of Intelligent Technology, Beijing Institute of Technology, Beijing, 100081, China; Engineering Research Center of Integrated Acousto-opto-electronic Microsystems (Ministry of Education of China), Beijing Institute of Technology, Beijing, 100081, China; Chongqing Institute of Microelectronics and Microsystems, Beijing Institute of Technology, Chongqing, 400000, China.
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6
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Kant K, Beeram R, Cao Y, Dos Santos PSS, González-Cabaleiro L, García-Lojo D, Guo H, Joung Y, Kothadiya S, Lafuente M, Leong YX, Liu Y, Liu Y, Moram SSB, Mahasivam S, Maniappan S, Quesada-González D, Raj D, Weerathunge P, Xia X, Yu Q, Abalde-Cela S, Alvarez-Puebla RA, Bardhan R, Bansal V, Choo J, Coelho LCC, de Almeida JMMM, Gómez-Graña S, Grzelczak M, Herves P, Kumar J, Lohmueller T, Merkoçi A, Montaño-Priede JL, Ling XY, Mallada R, Pérez-Juste J, Pina MP, Singamaneni S, Soma VR, Sun M, Tian L, Wang J, Polavarapu L, Santos IP. Plasmonic nanoparticle sensors: current progress, challenges, and future prospects. NANOSCALE HORIZONS 2024; 9:2085-2166. [PMID: 39240539 PMCID: PMC11378978 DOI: 10.1039/d4nh00226a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/22/2024] [Accepted: 08/19/2024] [Indexed: 09/07/2024]
Abstract
Plasmonic nanoparticles (NPs) have played a significant role in the evolution of modern nanoscience and nanotechnology in terms of colloidal synthesis, general understanding of nanocrystal growth mechanisms, and their impact in a wide range of applications. They exhibit strong visible colors due to localized surface plasmon resonance (LSPR) that depends on their size, shape, composition, and the surrounding dielectric environment. Under resonant excitation, the LSPR of plasmonic NPs leads to a strong field enhancement near their surfaces and thus enhances various light-matter interactions. These unique optical properties of plasmonic NPs have been used to design chemical and biological sensors. Over the last few decades, colloidal plasmonic NPs have been greatly exploited in sensing applications through LSPR shifts (colorimetry), surface-enhanced Raman scattering, surface-enhanced fluorescence, and chiroptical activity. Although colloidal plasmonic NPs have emerged at the forefront of nanobiosensors, there are still several important challenges to be addressed for the realization of plasmonic NP-based sensor kits for routine use in daily life. In this comprehensive review, researchers of different disciplines (colloidal and analytical chemistry, biology, physics, and medicine) have joined together to summarize the past, present, and future of plasmonic NP-based sensors in terms of different sensing platforms, understanding of the sensing mechanisms, different chemical and biological analytes, and the expected future technologies. This review is expected to guide the researchers currently working in this field and inspire future generations of scientists to join this compelling research field and its branches.
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Affiliation(s)
- Krishna Kant
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
- Department of Biotechnology, School of Engineering and Applied Sciences, Bennett University, Greater Noida, UP, India
| | - Reshma Beeram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Yi Cao
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Paulo S S Dos Santos
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
| | | | - Daniel García-Lojo
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Heng Guo
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Younju Joung
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Siddhant Kothadiya
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Marta Lafuente
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
| | - Yong Xiang Leong
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Yiyi Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Yuxiong Liu
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Sree Satya Bharati Moram
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Sanje Mahasivam
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Sonia Maniappan
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Daniel Quesada-González
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
| | - Divakar Raj
- Department of Allied Sciences, School of Health Sciences and Technology, UPES, Dehradun, 248007, India
| | - Pabudi Weerathunge
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Xinyue Xia
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
| | - Qian Yu
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Sara Abalde-Cela
- International Iberian Nanotechnology Laboratory (INL), 4715-330 Braga, Portugal
| | - Ramon A Alvarez-Puebla
- Department of Physical and Inorganic Chemistry, Universitat Rovira i Virgili, Tarragona, Spain
- ICREA-Institució Catalana de Recerca i Estudis Avançats, 08010, Barcelona, Spain
| | - Rizia Bardhan
- Department of Chemical and Biological Engineering, Iowa State University, Ames, IA 50011, USA
- Nanovaccine Institute, Iowa State University, Ames, IA 50012, USA
| | - Vipul Bansal
- Sir Ian Potter NanoBioSensing Facility, NanoBiotechnology Research Laboratory, School of Science, RMIT University, Melbourne, VIC 3000, Australia
| | - Jaebum Choo
- Department of Chemistry, Chung-Ang University, Seoul 06974, South Korea
| | - Luis C C Coelho
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- FCUP, University of Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal
| | - José M M M de Almeida
- INESC TEC-Institute for Systems and Computer Engineering, Technology and Science, Rua Dr Alberto Frias, 4200-465 Porto, Portugal
- Department of Physics, University of Trás-os-Montes e Alto Douro, 5001-801 Vila Real, Portugal
| | - Sergio Gómez-Graña
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Marek Grzelczak
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Pablo Herves
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - Jatish Kumar
- Department of Chemistry, Indian Institute of Science Education and Research (IISER) Tirupati, Tirupati 517 507, India
| | - Theobald Lohmueller
- Chair for Photonics and Optoelectronics, Nano-Institute Munich, Department of Physics, Ludwig-Maximilians-Universität (LMU), Königinstraße 10, 80539 Munich, Germany
| | - Arben Merkoçi
- Catalan Institute of Nanoscience and Nanotechnology (ICN2), CSIC and BIST, Campus UAB, Bellaterra, 08193, Barcelona, Spain
- Catalan Institution for Research and Advanced Studies (ICREA), Passeig de Lluís Companys, 23, Barcelona, 08010, Spain
| | - José Luis Montaño-Priede
- Centro de Física de Materiales (CSIC-UPV/EHU) and Donostia International Physics Center (DIPC), Paseo Manuel de Lardizabal 5, 20018 Donostia San-Sebastián, Spain
| | - Xing Yi Ling
- Division of Chemistry and Biological Chemistry, School of Chemistry, Chemical Engineering and Biotechnology, Nanyang Technological University, Singapore 637371, Singapore
| | - Reyes Mallada
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Jorge Pérez-Juste
- CINBIO, Department of Physical Chemistry, Universidade de Vigo, 36310 Vigo, Spain.
| | - María P Pina
- Department of Chemical & Environmental Engineering, Campus Rio Ebro, C/Maria de Luna s/n, 50018 Zaragoza, Spain
- Instituto de Nanociencia y Materiales de Aragón (INMA), CSIC-Universidad de Zaragoza, 50009 Zaragoza, Spain
- Networking Research Center on Bioengineering, Biomaterials and Nanomedicine, CIBER-BBN, 28029 Madrid, Spain
| | - Srikanth Singamaneni
- Department of Mechanical Engineering and Materials Science, Washington University in St. Louis, St. Louis, MO, 63130, USA
| | - Venugopal Rao Soma
- Advanced Centre of Research in High Energy Materials (ACRHEM), DRDO Industry Academia - Centre of Excellence (DIA-COE), University of Hyderabad, Hyderabad 500046, Telangana, India
- School of Physics, University of Hyderabad, Hyderabad 500046, Telangana, India
| | - Mengtao Sun
- School of Mathematics and Physics, University of Science and Technology Beijing, Beijing 100083, P. R. China
| | - Limei Tian
- Department of Biomedical Engineering, and Center for Remote Health Technologies and Systems, Texas A&M University, College Station, TX 77843, USA
| | - Jianfang Wang
- Department of Physics, The Chinese University of Hong Kong, Shatin, Hong Kong SAR 999077, China
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7
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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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8
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Zhang D, Luo T, Cai X, Zhao NN, Zhang CY. Recent advances in nucleic acid signal amplification-based aptasensors for sensing mycotoxins. Chem Commun (Camb) 2024; 60:4745-4764. [PMID: 38647208 DOI: 10.1039/d4cc00982g] [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: 04/25/2024]
Abstract
Mycotoxin contamination in food products may cause serious health hazards and economic losses. The effective control and accurate detection of mycotoxins have become a global concern. Even though a variety of methods have been developed for mycotoxin detection, most conventional methods suffer from complicated operation procedures, low sensitivity, high cost, and long assay time. Therefore, the development of simple and sensitive methods for mycotoxin assay is highly needed. The introduction of nucleic acid signal amplification technology (NASAT) into aptasensors significantly improves the sensitivity and facilitates the detection of mycotoxins. Herein, we give a comprehensive review of the recent advances in NASAT-based aptasensors for assaying mycotoxins and summarize the principles, features, and applications of NASAT-based aptasensors. Moreover, we highlight the challenges and prospects in the field, including the simultaneous detection of multiple mycotoxins and the development of portable devices for field detection.
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Affiliation(s)
- Dandan Zhang
- College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Ting Luo
- College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Xiangyue Cai
- College of Materials and Chemistry & Chemical Engineering, Chengdu University of Technology, Chengdu 610059, Sichuan, China
| | - Ning-Ning Zhao
- College of Chemistry, Chemical Engineering and Materials Science, Shandong Normal University, Jinan 250014, China.
| | - Chun-Yang Zhang
- School of Chemistry and Chemical Engineering, Southeast University, Nanjing, 211189, China.
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9
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Lee S, Kim H, Lim H, Nam Y, Lee S, Kim H. Nanostructured Substrate-Mediated Bubble Degassing in Microfluidic Systems. LANGMUIR : THE ACS JOURNAL OF SURFACES AND COLLOIDS 2024; 40:8630-8635. [PMID: 38587497 DOI: 10.1021/acs.langmuir.4c00359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/09/2024]
Abstract
Microfluidic platforms have been widely used in a variety of fields owing to their numerous advantages. The prevention and prompt removal of air bubbles from microchannels are important to ensuring the optimal functioning of microfluidic devices. The entrapment of bubbles in the microchannels can result in flow instability and device performance disruption. Active and passive methods are the primary categories of degassing technologies. Active methods rely on external equipment, and passive methods operate autonomously without any external sources. This study proposed a passive degassing method that employs a nanoscale surface morphology integrated into the substrate of a microfluidic device. Nanostructures exhibit a microchannel geometry and are fabricated based on surface micromachining technology using silver ink and chemical etching. Consequently, the gas permeability is enhanced, resulting in effective degassing through the nanostructure. The performance of this degassing method was characterized under varying substrate permeabilities and input pressure conditions, and it was found that increased permeability facilitates the degassing performance. Furthermore, the applicability of our method was demonstrated by using a serpentine channel design prone to gas entrapment, particularly in the corner regions. The nanostructured substrate exhibited significantly improved degassing performance under the given pressure conditions in comparison to the glass substrate.
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Affiliation(s)
- Sanghyun Lee
- Division of Mechanical, Automotive, Robot Component Engineering, Dongeui University, Busan 47340, Republic of Korea
| | - Hyewon Kim
- School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Hyewon Lim
- School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea
| | - Yejin Nam
- Division of Mechanical, Automotive, Robot Component Engineering, Dongeui University, Busan 47340, Republic of Korea
| | - Sangmin Lee
- Division of Mechanical, Automotive, Robot Component Engineering, Dongeui University, Busan 47340, Republic of Korea
| | - Hyungmo Kim
- School of Mechanical and Aerospace Engineering, Gyeongsang National University, Jinju 52828, Republic of Korea
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10
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Issatayeva A, Farnesi E, Cialla-May D, Schmitt M, Rizzi FMA, Milanese D, Selleri S, Cucinotta A. SERS-based methods for the detection of genomic biomarkers of cancer. Talanta 2024; 267:125198. [PMID: 37722343 DOI: 10.1016/j.talanta.2023.125198] [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: 04/24/2023] [Revised: 09/05/2023] [Accepted: 09/10/2023] [Indexed: 09/20/2023]
Abstract
Genomic biomarkers of cancer are based on changes in nucleic acids, which include abnormal expression levels of some miRNAs, point mutations in DNA sequences, and altered levels of DNA methylation. The presence of tumor-related nucleic acids in body fluids (blood, saliva, or urine) makes it possible to achieve a non-invasive early-stage cancer diagnosis. Currently existing techniques for the discovery of nucleic acids require complex, time-consuming, costly assays and have limited multiplexing abilities. Surface-enhanced Raman spectroscopy (SERS) is a vibrational spectroscopy technique that is able to provide molecular specificity combined with trace sensitivity. SERS has gained research attention as a tool for the detection of nucleic acids because of its promising potential: label-free SERS can decrease the complexity of assays currently used with fluorescence-based detection due to the absence of the label, while labeled SERS may outperform the gold standard in terms of the multiplexing ability. The first papers about SERS-based methods for the measurement of genomic biomarkers were written in 2008, and since then, more than 150 papers have been published. The aim of this paper is to review and evaluate the proposed SERS-based methods in terms of their level of development and their potential for liquid biopsy application, as well as to contribute to their further evolution by attracting research attention to the field. This goal will be reached by grouping, on the basis of their experimental protocol, all the published manuscripts on the topic and evaluating each group in terms of its limit of detection and applicability to real body fluids. Thus, the methods are classified according to their working principles into five main groups, including capture-based, displacement-based, sandwich-based, enzyme-assisted, and specialized protocols.
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Affiliation(s)
- Aizhan Issatayeva
- Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43124, Parma, Italy.
| | - Edoardo Farnesi
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany; Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Dana Cialla-May
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany; Leibniz Institute of Photonic Technology, Member of Leibniz Health Technologies, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Albert-Einstein-Straße 9, 07745, Jena, Germany
| | - Michael Schmitt
- Institute of Physical Chemistry (IPC) and Abbe Center of Photonics (ACP), Friedrich Schiller University Jena, Member of the Leibniz Centre for Photonics in Infection Research (LPI), Helmholtzweg 4, 07743, Jena, Germany
| | | | - Daniel Milanese
- Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43124, Parma, Italy
| | - Stefano Selleri
- Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43124, Parma, Italy
| | - Annamaria Cucinotta
- Department of Engineering and Architecture, University of Parma, Parco Area delle Scienze 181/a, 43124, Parma, Italy
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11
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Luo Y, Chen J, Liang J, Liu Y, Liu C, Liu Y, Xu T, Zhang X. Ultrasound-enhanced catalytic hairpin assembly capable of ultrasensitive microRNA biosensing for the early screening of Alzheimer's disease. Biosens Bioelectron 2023; 242:115746. [PMID: 37832346 DOI: 10.1016/j.bios.2023.115746] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Revised: 09/27/2023] [Accepted: 10/07/2023] [Indexed: 10/15/2023]
Abstract
Catalytic hairpin assembly (CHA) is a promising enzyme-free, isothermal signal amplification strategy, but the relatively time-consuming strand replacement limits its application scenarios. Here, we developed an ultrasound-enhanced catalytic hairpin assembly (UECHA) biosensing platform for early screening of Alzheimer's disease by introducing a portable acoustic-drive platform with functionalized microspheres for effective biomarkers enrichment and fluorescence enhancement. By constructing a gradient ultrasonic field in a microcavity, the platform concentrates the functionalized microspheres in a central position, accompanied by an enhanced fluorescence signal with a specific release. In addition, the programmable frequency modulation can also modify the acoustic potential well and effectively promote non-equilibrium chemical reactions such as CHA (25 min). Compared with the conventional catalytic hairpin assembly (CHA), UECHA allows for direct and quantitative measurement of AD miRNAs down to 3.55 × 10-15 M in 1 μL samples. This visual analysis of ultra-trace biomarkers based on acoustic enrichment and promotion provides a new perspective for the rapid and highly sensitive clinical detection of Alzheimer's disease.
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Affiliation(s)
- Yong Luo
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China; Beijing Key Laboratory for Bioengineering and Sensing Technology, University of Science and Technology Beijing, Beijing, 100083, PR China
| | - Jingyu Chen
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Jiahui Liang
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Yizhen Liu
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China
| | - Conghui Liu
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China.
| | - Yibiao Liu
- Longgang District Central Hospital of Shenzhen, Shenzhen, Guangdong, 518116, PR China.
| | - Tailin Xu
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China.
| | - Xueji Zhang
- College of Chemistry and Environmental Engineering, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, 518060, PR China; Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ), Shenzhen, 518060, China.
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12
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Kim MG, Jue M, Lee KH, Lee EY, Roh Y, Lee M, Lee HJ, Lee S, Liu H, Koo B, Jang YO, Kim EY, Zhen Q, Kim SH, Kim JK, Shin Y. Deep Learning Assisted Surface-Enhanced Raman Spectroscopy (SERS) for Rapid and Direct Nucleic Acid Amplification and Detection: Toward Enhanced Molecular Diagnostics. ACS NANO 2023; 17:18332-18345. [PMID: 37703463 DOI: 10.1021/acsnano.3c05633] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/15/2023]
Abstract
Surface-enhanced Raman scattering (SERS) has evolved into a robust analytical technique capable of detecting a variety of biomolecules despite challenges in securing a reliable Raman signal. Conventional SERS-based nucleic acid detection relies on hybridization assays, but reproducibility and signal strength issues have hindered research on directly amplifying nucleic acids on SERS surfaces. This study introduces a deep learning assisted ZnO-Au-SERS-based direct amplification (ZADA) system for rapid, sensitive molecular diagnostics. The system employs a SERS substrate fabricated by depositing gold on uniformly grown ZnO nanorods. These nanorods create hot spots for the amplification of the target nucleic acids directly on the SERS surface, eliminating the need for postamplification hybridization and Raman reporters. The limit of detection of the ZADA system was superior to those of the conventional amplification methods. Clinical validation of the ZADA system with coronavirus disease 2019 (COVID-19) samples from human patients yielded a sensitivity and specificity of 92.31% and 81.25%, respectively. The integration of a deep learning program further enhanced sensitivity and specificity to 100% and reduced SERS analysis time, showcasing the potential of the ZADA system for rapid, label-free disease diagnosis via direct nucleic acid amplification and detection within 20 min.
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Affiliation(s)
- Myoung Gyu Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Miyeon Jue
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
- Apollon, Inc., 68 Achasan-ro, Seongdong-gu, Seoul 05505, Republic of Korea
| | - Kwan Hee Lee
- Department of Medical Science, Asan Medical Institute of Convergence Science and Technology, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Eun Yeong Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yeonjeong Roh
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Minju Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Hyo Joo Lee
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Sanghwa Lee
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
| | - Huifang Liu
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Bonhan Koo
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Yoon Ok Jang
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Eui Yeon Kim
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Qiao Zhen
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
| | - Sung-Han Kim
- Department of Infectious Diseases, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Jun Ki Kim
- Biomedical Engineering Research Center, Asan Medical Center, Seoul 05505, Republic of Korea
- Department of Biomedical Engineering, Asan Medical Center, University of Ulsan College of Medicine, Seoul 05505, Republic of Korea
| | - Yong Shin
- Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, 50 Yonsei Ro, Seodaemun-gu, Seoul 03722, Republic of Korea
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13
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Zhou Y, Lu Y, Liu Y, Hu X, Chen H. Current strategies of plasmonic nanoparticles assisted surface-enhanced Raman scattering toward biosensor studies. Biosens Bioelectron 2023; 228:115231. [PMID: 36934607 DOI: 10.1016/j.bios.2023.115231] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 02/21/2023] [Accepted: 03/12/2023] [Indexed: 03/15/2023]
Abstract
With the progressive nanofabrication technology, plasmonic nanoparticles (PNPs) have been increasingly deployed in the field of biosensing. PNPs have favorable biocompatibility, conductivity, and tunable optical properties. In addition, the localized surface plasmon resonance (LSPR) of PNPs plays a vital role in surface-enhanced Raman scattering (SERS). PNPs-based SERS biosensing enables wide-ranging applications for sensitive detection and high spatial and temporal resolution imaging. Numerous reviews of PNPs in the field of SERS biosensing highlight the fabrication or applications in one or more fields. However, the specific strategies for the SERS biosensor construction had not been summarized systematically. Thus, this work offers a comprehensive overview of SERS enhancement strategies based on PNPs, with a focus on SERS label-free detection along with label detection sensing construction, as well as its challenges and future trends.
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Affiliation(s)
- Yangyang Zhou
- School of Medicine, Shanghai University, Shanghai, 200444, PR China; School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, PR China
| | - Yongkai Lu
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China
| | - Yawen Liu
- School of Medicine, Shanghai University, Shanghai, 200444, PR China; School of Environmental and Chemical Engineering, Shanghai University, Shanghai, 200444, PR China
| | - Xiaojun Hu
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China
| | - Hongxia Chen
- School of Life Sciences, Shanghai University, Shanghai, 200444, PR China.
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14
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Ma X, Suo T, Zhao F, Shang Z, Chen Y, Wang P, Li B. Integrating CRISPR/Cas12a with strand displacement amplification for the ultrasensitive aptasensing of cadmium(II). Anal Bioanal Chem 2023; 415:2281-2289. [PMID: 36952025 DOI: 10.1007/s00216-023-04650-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 02/26/2023] [Accepted: 03/13/2023] [Indexed: 03/24/2023]
Abstract
Cadmium ion (Cd(II)) is a pernicious environmental pollutant that has been shown to contaminate agricultural lands, accumulate through the food chain, and seriously threaten human health. At present, Cd(II) monitoring is dependent on centralized instruments, necessitating the development of rapid and on-site detection platforms. Against this backdrop, the present study reports on the development of a fluorometric aptasensor designed to target Cd(II), which is achieved through the integration of strand displacement amplification (SDA) and CRISPR/Cas12a. In the absence of Cd(II), the aptamer initiates SDA, resulting in the generation of a profusion of ssDNA that activates Cas12a, leading to a substantial increase in fluorescence output. Conversely, the presence of Cd(II) curtails the SDA efficiency, culminating in a significant reduction in fluorescence output. The proposed approach has been demonstrated to enable the selective detection of Cd(II) at concentrations of 60 pM, with the performance of the aptasensor validated in real water and rice samples. The proposed platform based on aptamer-target interaction holds immense promise as a signal-amplified and precise method for the detection of Cd(II) and has the potential to transform current hazard detection practices in food samples.
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Affiliation(s)
- Xiaochen Ma
- State Key Laboratory of Microbial Resources, Institute of Microbiology, CAS, Beijing, 100101, China
| | - Tiying Suo
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
- Nanjing Jiangbei New Area Biopharmaceutical Public Platform Co., Ltd., Nanjing, 211899, China
| | - Furong Zhao
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Zhaoyang Shang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China
| | - Yue Chen
- Department of Fundamental and Community Nursing, School of Nursing, Nanjing Medical University, Nanjing, 211166, China.
| | - Pei Wang
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
| | - Bingzhi Li
- School of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, 210023, China.
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15
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Dong P, Li R, He S, Zhang Q, Shang J, Jiang Y, Liu X, Wang F. The compact integration of a cascaded HCR circuit for highly reliable cancer cell discrimination. Chem Sci 2023; 14:2159-2167. [PMID: 36845932 PMCID: PMC9945511 DOI: 10.1039/d2sc05568f] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 01/16/2023] [Indexed: 01/26/2023] Open
Abstract
The accurate identification of multiple biomarkers involved in disease plays a vital role in effectively distinguishing cancer cells from normal cells, facilitating reliable cancer diagnosis. Motivated by this knowledge, we have engineered a compact and clamped cascaded DNA circuit for specifically discriminating cancer cells from normal cells via the amplified multi-microRNA imaging strategy. The proposed DNA circuit combines the traditional cascaded DNA circuit with multiply localized responsive character through the elaboration of two super-hairpin reactants, thus concurrently streamlining the circuit components and realizing localization-intensified cascaded signal amplification. In parallel, the multiple microRNA-stimulated sequential activations of the compact circuit, combined with a handy logic operation, significantly elevated the cell-discriminating reliability. Applications of the present DNA circuit in vitro and in cellular imaging experiments were executed with expected results, therefore illustrating that our DNA circuit is useful for precise cell discrimination and further clinical diagnosis.
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Affiliation(s)
- Pei Dong
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Ruomeng Li
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Shizhen He
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Qingqing Zhang
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Jinhua Shang
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Yuqian Jiang
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
| | - Xiaoqing Liu
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
- Research Institute of Shenzhen, Wuhan University Shenzhen 518057 P. R. China
| | - Fuan Wang
- College of Chemistry and Molecular Sciences, Wuhan University 430072 Wuhan P. R. China
- Research Institute of Shenzhen, Wuhan University Shenzhen 518057 P. R. China
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16
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Lv M, Hussain N, Sun DW, Pu H. Rapid Detection of Paraquat Residues in Fruit Samples using Mercaptoacetic Acid Functionalized Au@AgNR SERS Substrate. Microchem J 2023. [DOI: 10.1016/j.microc.2023.108558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
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17
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Zhang W, Li S, Zhou A, Li M. Chemical Cyclic Amplification: Hydroxylamine Boosts the Fenton Reaction for Versatile and Scalable Biosensing. Anal Chem 2023; 95:1764-1770. [PMID: 36576311 DOI: 10.1021/acs.analchem.2c05181] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
Nucleic acid detection is undoubtedly one of the most important research fields to meet the medical needs of genetic disease diagnosis, cancer treatment, and infectious disease prevention. However, the practical detection methods based on biological amplification are complex and time-consuming and require highly trained operators. Herein, we report a simple, rapid, and sensitive method for the nucleic acid assay by fluorescence or naked eye using chemical cyclic amplification. The addition of hydroxylamine (HA) during the Fenton reaction can continuously generate hydroxyl radicals (•OH) via Fe3+/Fe2+ cycle, termed as "hydroxylamine boosts the Fenton reaction (Fenton-HA system)". Meanwhile, the reducing substances, such as terephthalic acid or o-phenylenediamine, react with •OH to generate oxidized substances that can be recognized by the naked eye or detected by fluorescence so as to realize the detection of Fe3+. The concentration of Fe3+ has a good linear relationship with fluorescence intensity in the range of 0.1 to 100 nM, and the limit of detection is calculated to be 0.03 nM (S/N = 3). Subsequently, Fe was introduced into the nucleic acid hybridization system after the Fe source was transformed into Fe3+, and the nucleic acids were indirectly determined by this method. This Fenton-HA system was used for sensing HIV-DNA and miRNA-21 to verify the validity of this method in nucleic acid detection. The detection limits were as low as 2.5 pM for HIV-DNA and 3 pM for miRNA-21. We believe that our work has unlocked an efficient signal amplification strategy, which is expected to develop a new generation of highly sensitive chemical biosensors.
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Affiliation(s)
- Wenzhi Zhang
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu241000, China
| | - Shuzhen Li
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu241000, China
| | - Ani Zhou
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu241000, China
| | - Maoguo Li
- Key Laboratory of Functional Molecular Solids, Ministry of Education, College of Chemistry and Materials Science, Anhui Normal University, Wuhu241000, China
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18
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Das D, Lin CW, Chuang HS. LAMP-Based Point-of-Care Biosensors for Rapid Pathogen Detection. BIOSENSORS 2022; 12:bios12121068. [PMID: 36551035 PMCID: PMC9775414 DOI: 10.3390/bios12121068] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2022] [Revised: 11/20/2022] [Accepted: 11/21/2022] [Indexed: 06/01/2023]
Abstract
Seeking optimized infectious pathogen detection tools is of primary importance to lessen the spread of infections, allowing prompt medical attention for the infected. Among nucleic-acid-based sensing techniques, loop-mediated isothermal amplification is a promising method, as it provides rapid, sensitive, and specific detection of microbial and viral pathogens and has enormous potential to transform current point-of-care molecular diagnostics. In this review, the advances in LAMP-based point-of-care diagnostics assays developed during the past few years for rapid and sensitive detection of infectious pathogens are outlined. The numerous detection methods of LAMP-based biosensors are discussed in an end-point and real-time manner with ideal examples. We also summarize the trends in LAMP-on-a-chip modalities, such as classical microfluidic, paper-based, and digital LAMP, with their merits and limitations. Finally, we provide our opinion on the future improvement of on-chip LAMP methods. This review serves as an overview of recent breakthroughs in the LAMP approach and their potential for use in the diagnosis of existing and emerging diseases.
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Affiliation(s)
- Dhrubajyoti Das
- Department of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan
| | - Cheng-Wen Lin
- Department of Medical Laboratory Science and Biotechnology, China Medical University, Taichung 404, Taiwan
- Department of Medical Laboratory Science and Biotechnology, Asia University, Wufeng, Taichung 413, Taiwan
| | - Han-Sheng Chuang
- Department of Biomedical Engineering, National Cheng Kung University, Tainan 701, Taiwan
- Medical Device Innovation Center, National Cheng Kung University, Tainan 701, Taiwan
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19
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Li Y, Gao Y, Ling N, Shen Y, Zhang D, Ou D, Zhang X, Jiao R, Zhu C, Ye Y. Rapid and simple quantitative identification of Listeria monocytogenes in cheese by isothermal sequence exchange amplification based on surface-enhanced Raman spectroscopy. J Dairy Sci 2022; 105:9450-9462. [DOI: 10.3168/jds.2022-22181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 07/01/2022] [Indexed: 11/17/2022]
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20
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Liu J, Wu D, Chen J, Jia S, Chen J, Wu Y, Li G. CRISPR-Cas systems mediated biosensing and applications in food safety detection. Crit Rev Food Sci Nutr 2022; 64:2960-2985. [PMID: 36218189 DOI: 10.1080/10408398.2022.2128300] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Food safety, closely related to economic development of food industry and public health, has become a global concern and gained increasing attention worldwide. Effective detection technology is of great importance to guarantee food safety. Although several classical detection methods have been developed, they have some limitations in portability, selectivity, and sensitivity. The emerging CRISPR-Cas systems, uniquely integrating target recognition specificity, signal transduction, and efficient signal amplification abilities, possess superior specificity and sensitivity, showing huge potential to address aforementioned challenges and develop next-generation techniques for food safety detection. In this review, we focus on recent progress of CRISPR-Cas mediated biosensing and their applications in food safety monitoring. The properties and principles of commonly used CRISPR-Cas systems are highlighted. Notably, the frequently coupled nucleic acid amplification strategies to enhance their selectivity and sensitivity, especially isothermal amplification methods, as well as various signal output modes are also systematically summarized. Meanwhile, the application of CRISPR-Cas systems-based biosensors in food safety detection including foodborne virus, foodborne bacteria, food fraud, genetically modified organisms (GMOs), toxins, heavy metal ions, antibiotic residues, and pesticide residues is comprehensively described. Furthermore, the current challenges and future prospects in this field are tentatively discussed.
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Affiliation(s)
- Jianghua Liu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Di Wu
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast, UK
| | - Jiahui Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Shijie Jia
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Jian Chen
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
| | - Yongning Wu
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
- NHC Key Laboratory of Food Safety Risk Assessment, China National Center for Food Safety Risk Assessment, Beijing, China
| | - Guoliang Li
- School of Food and Biological Engineering, Shaanxi University of Science and Technology, Xi'an, China
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21
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Park J, Kim J, Park C, Lim JW, Yeom M, Song D, Kim E, Haam S. A flap endonuclease 1-assisted universal viral nucleic acid sensing system using surface-enhanced Raman scattering. Analyst 2022; 147:5028-5037. [DOI: 10.1039/d2an01123a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Flap endonuclease 1 recognizes a specific DNA structure and cleaves Raman tag-labeled probe molecules in a target-specific manner. With SERS-based sensing, the developed detection approach produces sensitive, quantitative, and multiplexable signals.
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Affiliation(s)
- Joowon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jinyoung Kim
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Chaewon Park
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
| | - Jong-Woo Lim
- Research Institute for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Minjoo Yeom
- Research Institute for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Daesub Song
- Research Institute for Veterinary Science and College of Veterinary Medicine, Seoul National University, Seoul 08826, Republic of Korea
| | - Eunjung Kim
- Division of Bioengineering, Incheon National University, Incheon 22012, Republic of Korea
- Department of Bioengineering and Nano-Bioengineering, Research Center for Bio Materials and Process Development, Incheon National University, Incheon 22012, Republic of Korea
| | - Seungjoo Haam
- Department of Chemical and Biomolecular Engineering, Yonsei University, Seoul 03722, Republic of Korea
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22
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Zhang J, Zhu X, Chen M, Chen T, Liu Z, Huang J, Fu F, Lin Z, Dong Y. Hybridizing aggregated gold nanoparticles with a hydrogel to prepare a flexible SERS chip for detecting organophosphorus pesticides. Analyst 2022; 147:2802-2808. [DOI: 10.1039/d2an00541g] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
A simple method has been developed to hybridize aggregated gold nanoparticles with a hydrogel for novel hydrogel SERS chips with high sensitivity, good repeatability, long-term stability, and strong anti-interference ability.
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Affiliation(s)
- Jiaxin Zhang
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Xiajun Zhu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Mingming Chen
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Tianwen Chen
- Fujian College Association Instrumental Analysis Center of Fuzhou University, Fuzhou, China
| | - Zhihong Liu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Jianli Huang
- Institute of Grain and Oil Quality Supervision and Test of Fujian, Fuzhou, 350012, China
| | - Fengfu Fu
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Zhenyu Lin
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
| | - Yongqiang Dong
- MOE Key Laboratory for Analytical Science of Food Safety and Biology, Fujian Provincial Key Laboratory of Analysis and Detection Technology for Food Safety, College of Chemistry, Fuzhou University, Fuzhou, China
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