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Li W, Li Q, Xia H, Liu W, Jing G, Yu J, Liu W, Lin M, Huang Y. Multi-DNAzymes cascade reaction mediated aptasensors for OTA detection based on the integration of autocatalytic Mg 2+-dependent DNAzyme cleavage and entropy-driven circuit. Int J Biol Macromol 2025; 289:138896. [PMID: 39701233 DOI: 10.1016/j.ijbiomac.2024.138896] [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: 08/24/2024] [Revised: 12/13/2024] [Accepted: 12/16/2024] [Indexed: 12/21/2024]
Abstract
Ochratoxin A (OTA) is a compound of concern due to its potential health effects on humans. Detecting OTA in food is crucial for safeguarding public health. In this study, we fabricated a multi-DNAzyme cascade reaction-mediated colorimetric aptasensors for OTA detection, integrating autocatalytic Mg2+-dependent DNAzyme cleavage (MNAzyme) and an entropy-driven circuit. In brief, the recognition between the aptamer and target OTA led to the release of DNA1. Subsequently, DNA1 hybridized with DNA2, generating an upstream MNAzyme that facilitated the production of a downstream MNAzyme. These MNAzymes possess similar substrate binding arms, enabling them to catalyze the same substrate. The catalytic efficiency of MNAzymes towards the substrates was enhanced due to the increasing concentration of MNAzymes. The cleavage products then triggered an entropy-driven cycle to generate a signal. Under optimal conditions, the sensing system exhibited low detection limits of 48.97 fM for OTA. Additionally, the proposed aptasensor was successfully applied to quantitatively analyze OTA in food samples. Thus, the multi-DNAzyme cascade reaction-mediated colorimetric aptasensors offer an adaptable platform for detecting traces of OTA contaminant in food.
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Affiliation(s)
- Wenshan Li
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China.
| | - Qingqing Li
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Huaiyue Xia
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Wenjie Liu
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Guoxing Jing
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Jianna Yu
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Wen Liu
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Mengtong Lin
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
| | - Yujuan Huang
- College of Chemical Engineering, Xiangtan University, Xiangtan 411105, China
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2
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Ranbir, Singh G, Kaur N, Singh N. Machine learning driven metal oxide-based portable sensor array for on-site detection and discrimination of mycotoxins in corn sample. Food Chem 2025; 464:141869. [PMID: 39515166 DOI: 10.1016/j.foodchem.2024.141869] [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: 08/23/2024] [Revised: 10/13/2024] [Accepted: 10/29/2024] [Indexed: 11/16/2024]
Abstract
Cereals, grains, and feedstuffs are prone to contamination by fungi during various stages from growth to storage. These fungi may produce harmful mycotoxins impacting food quality and safety. Thus, the development of quick and reliable methods for on-site application is crucial for ensuring food safety and quality monitoring. Herein, we have developed an efficient sensor array based on hierarchically modified metal oxides with azodye-based metal complexes for on-site detection and segregation of harmful mycotoxins present in corn samples. The functionalized material has been fully characterized utilizing various sophisticated techniques. The sensor array successfully detected and differentiated five different mycotoxins with 100 % efficiency, validated by linear discriminant analysis (LDA) score plots. The limit of detection, as determined from calibration curves, ranges from 0.02 to 0.09 ppm for the respective mycotoxins. Additionally, the sensor array has also demonstrated 100 % accuracy in discriminating binary and ternary ratios of mycotoxins in real sample analyses.
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Affiliation(s)
- Ranbir
- Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, Punjab 140001, India
| | - Gagandeep Singh
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar, Punjab 140001, India; Present Address: Chitkara College of Pharmacy, Chitkara University, Punjab 140401, India
| | - Navneet Kaur
- Department of Chemistry, Panjab University, Chandigarh 160014, India.
| | - Narinder Singh
- Department of Chemistry, Indian Institute of Technology Ropar, Rupnagar, Punjab 140001, India.
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3
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Li X, Li T, Zhang J, Zhang Q, Deng K, Ma R, Wang J, Kong W. Establishment of a Dual-Signal Enhanced Fluorescent Aptasensor for Highly Sensitive Detection of Ochratoxin A. ACS OMEGA 2024; 9:21035-21041. [PMID: 38764623 PMCID: PMC11097185 DOI: 10.1021/acsomega.4c00377] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 05/21/2024]
Abstract
A robust and versatile dual-signal enhanced fluorescent aptasensor was developed for ochratoxin A (OTA) detection based on fluorescence resonance energy transfer between 5-carboxyfluorescein (FAM) and Super Green I (SG) fluorophores as the donor and graphene oxide (GO) nanosheet as the acceptor. Abundant SG probes were adsorbed into the FAM-complementary DNA (cDNA)-aptamer double-stranded structure to achieve remarkably enhanced fluorescence responses. Without OTA, the FAM-cDNA-SG conjugates coexisted with GO nanosheets, exhibiting strong fluorescence signals. In the presence of OTA, it was captured by the aptamers to release cDNA-FAM and SG probes, which were adsorbed by GO, leading to OTA-dependent fluorescence quenching. The changed fluorescence intensity was measured for accurate quantitation of OTA. Under optimum conditions, the dual-signal enhanced fluorescent aptasensor realized fascinating sensitivity with a limit of detection of 0.005 ng/mL and a wide concentration range of 0.02-20 ng/mL, as well as high selectivity for OTA over other interfering substances, excellent accuracy with average recoveries of 91.37-116.83% in the fortified malt matrices, and superior reliability and practicability in actual samples. This FAM-cDNA-aptamer-SG/GO nanosheet-based aptasensing platform could be extended to monitor other contaminants or trace molecules in food, environmental, and diagnostic fields by altering the corresponding aptamers.
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Affiliation(s)
- Xueying Li
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
| | - Te Li
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
| | - Jiahuai Zhang
- Center
for Clinical Laboratory, Capital Medical
University, Beijing 100069, China
| | - Qing Zhang
- Key
Laboratory of Modern Preparation of TCM, Ministry of Education, Pharmacy
College, Jiangxi University of Traditional
Chinese Medicine, Nanchang 330004, China
| | - Kai Deng
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
| | - Runran Ma
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
| | - Jiabo Wang
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
| | - Weijun Kong
- School
of Traditional Chinese Medicine, Capital
Medical University, Beijing 100069, China
- Laboratory
for Clinical Medicine, Capital Medical University, Beijing 100069, China
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4
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Gao S, Zhou R, Zhang D, Zheng X, El-Seedi HR, Chen S, Niu L, Li X, Guo Z, Zou X. Magnetic nanoparticle-based immunosensors and aptasensors for mycotoxin detection in foodstuffs: An update. Compr Rev Food Sci Food Saf 2024; 23:e13266. [PMID: 38284585 DOI: 10.1111/1541-4337.13266] [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: 06/26/2023] [Revised: 10/06/2023] [Accepted: 10/15/2023] [Indexed: 01/30/2024]
Abstract
Mycotoxin contamination of food crops is a global challenge due to their unpredictable occurrence and severe adverse health effects on humans. Therefore, it is of great importance to develop effective tools to prevent the accumulation of mycotoxins through the food chain. The use of magnetic nanoparticle (MNP)-assisted biosensors for detecting mycotoxin in complex foodstuffs has garnered great interest due to the significantly enhanced sensitivity and accuracy. Within such a context, this review includes the fundamentals and recent advances (2020-2023) in the area of mycotoxin monitoring in food matrices using MNP-based aptasensors and immunosensors. In this review, we start by providing a comprehensive introduction to the design of immunosensors (natural antibody or nanobody, random or site-oriented immobilization) and aptasensors (techniques for aptamer selection, characterization, and truncation). Meanwhile, special attention is paid to the multifunctionalities of MNPs (recoverable adsorbent, versatile carrier, and signal indicator) in preparing mycotoxin-specific biosensors. Further, the contribution of MNPs to the multiplexing determination of various mycotoxins is summarized. Finally, challenges and future perspectives for the practical applications of MNP-assisted biosensors are also discussed. The progress and updates of MNP-based biosensors shown in this review are expected to offer readers valuable insights about the design of MNP-based tools for the effective detection of mycotoxins in practical applications.
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Affiliation(s)
- Shipeng Gao
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
| | - Ruiyun Zhou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
- Focusight Technology (Jiangsu) Co., LTD, Changzhou, China
| | - Di Zhang
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
| | - Xueyun Zheng
- Key Laboratory of Fermentation Engineering (Ministry of Education), School of Biological Engineering and Food, Hubei University of Technology, Wuhan, China
| | - Hesham R El-Seedi
- International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing (Jiangsu Education Department), Zhenjiang, China
- International Research Center for Food Nutrition and Safety, Jiangsu University, Zhenjiang, China
| | - Shiqi Chen
- Chongqing Institute for Food and Drug Control, Chongqing, China
| | - Lidan Niu
- Chongqing Institute for Food and Drug Control, Chongqing, China
| | - Xin Li
- Jiangsu Hengshun vinegar Industry Co., Ltd., Zhenjiang, China
| | - Zhiming Guo
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
- International Joint Research Laboratory of Intelligent Agriculture and Agri-Products Processing (Jiangsu Education Department), Zhenjiang, China
| | - Xiaobo Zou
- School of Food and Biological Engineering, Jiangsu University, Zhenjiang, China
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Dong X, Qi S, Qin M, Ding N, Zhang Y, Wang Z. A novel ternary Y-DNA walker amplification strategy designed fluorescence aptasensor based on Au@SiO 2@Fe 3O 4 nanomaterials for ochratoxin A detection. Mikrochim Acta 2023; 190:443. [PMID: 37848735 DOI: 10.1007/s00604-023-06018-0] [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: 06/07/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023]
Abstract
A novel ternary Y-DNA walker amplification strategy designed fluorescence aptasensor based on Au@SiO2@Fe3O4 nanomaterials for ultrasensitive and specific ochratoxin A detection in food samples is presented. Au@SiO2@Fe3O4 nanomaterials provide the loading platform as well as separation and recovery properties for the ternary Y-DNA walker. The ternary Y-DNA walker is designed to be driven by Nb.BbvCI cleaving a large number of FAM probes to achieve signal amplification. Since Ochratoxin A (OTA) can bind to the constituent aptamer in the ternary Y-DNA walker, adding OTA will destroy the structure of the ternary Y-DNA walker, thereby inhibiting the driving process of the walker. After optimization of various parameters, a standard curve was obtained from 100 to 0.05 ng·mL-1 of OTA with the limit of determination of 0.027 ng·mL-1. The spiked recovery of peanut samples by this method was 82.00-93.30%, and the aptasensor showed excellent specificity and long-term stability. This simple, robust, and scalable oligonucleotide chain-based ternary Y-DNA walker can provide a general signal amplification strategy for trace analysis.
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Affiliation(s)
- Xiaoze Dong
- State Key Laboratory of Food Science and Technology, International Joint Laboratory On Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Shuo Qi
- State Key Laboratory of Food Science and Technology, International Joint Laboratory On Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Mingwei Qin
- State Key Laboratory of Food Science and Technology, International Joint Laboratory On Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Ning Ding
- State Key Laboratory of Food Science and Technology, International Joint Laboratory On Food Safety, Jiangnan University, Wuxi, 214122, China
| | - Yin Zhang
- Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu, 610106, China
| | - Zhouping Wang
- State Key Laboratory of Food Science and Technology, International Joint Laboratory On Food Safety, Jiangnan University, Wuxi, 214122, China.
- Key Laboratory of Meat Processing of Sichuan, Chengdu University, Chengdu, 610106, China.
- School of Food Science and Technology, National Engineering Research Center for Functional Food, Collaborative Innovation Center of Food Safety and Quality Control in Jiangsu Province, Food, Jiangnan University, Wuxi, 214122, China.
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