Ensuring food safety is pivotal for public health and the stability of global food supply chains.Traditional detection methods,such as culturebased assays,polymerase chain reaction(PCR),and mass spectrometry,have demo...Ensuring food safety is pivotal for public health and the stability of global food supply chains.Traditional detection methods,such as culturebased assays,polymerase chain reaction(PCR),and mass spectrometry,have demonstrated high sensitivity and specificity but are hindered by their high cost,operational complexity,and dependence on laboratory environment,making them unsuitable for rapid,on-site detection.DNAzyme-based biosensors offer a novel solution through their unique molecular recognition and catalytic properties,enabling sensitive,cost-effective,and portable detection.For instance,DNAzyme sensors targeting Escherichia coli have achieved detection limits as low as 103 CFU/mL in food matrices like meat and juice,while colorimetric DNAzyme platforms for lead ion(Pb2+)detection have demonstrated sensitivity down to 1 nmol/L,making them suitable for on-site monitoring.This review systematically explores the applications of DNAzyme technology in detecting food contaminants,including pathogens,mycotoxins,heavy metals,antibiotics,and pesticide residues.This highlights the advantages of DNAzyme technology in terms of rapid detection,enhanced sensitivity,and strong anti-interference capability while critically analyzing the challenges encountered in real-world applications.Furthermore,this review proposes key directions for advancing DNAzyme commercialization and interdisciplinary integration,providing a foundation for future developments in food safety diagnostics.展开更多
The spice model for photo catalytic sensor （PCS） proposed by Whig and Ahmad overcomes several drawbacks like complex designing, non-linearity, and long computation time generally found in the flow injection analysis...The spice model for photo catalytic sensor （PCS） proposed by Whig and Ahmad overcomes several drawbacks like complex designing, non-linearity, and long computation time generally found in the flow injection analysis （FIA） technique by Yoon-Chang Kim et al. for the determination of chemical oxygen demand （COD）. The FIA technique involves the complete analysis including sampling and washing. The flow injection analysis is an analytical method for the measurement of the chemical oxygen demand by using the photochemical column. This method uses a bulky setup and takes 10 minutes to 15 minutes to get the output result which is a tedious and time consuming job. If the conventional method is continuously used for a long time then it is stable only for 15 days. The purpose of this paper is to propose a new floating gate photo catalytic sensor （FGPCS） approach which has low power consumption and more user-friendly, and it is fast in operation by the modeling and optimization of sensor used for water quality monitoring. The proposed model operates under sub-threshold conditions which are appreciated in large integrated system design. The results of simulation are found to be fairly in agreement with the theoretical predictions. The results exhibit near linear variations of parameters of interest with appreciably reduced response time.展开更多
基金supported by a grant from the Ministry of Science and Higher Education of the Russian Federation for large scientific projects in priority areas of scientific and technological development(Project No.075-15-2024-483).
文摘Ensuring food safety is pivotal for public health and the stability of global food supply chains.Traditional detection methods,such as culturebased assays,polymerase chain reaction(PCR),and mass spectrometry,have demonstrated high sensitivity and specificity but are hindered by their high cost,operational complexity,and dependence on laboratory environment,making them unsuitable for rapid,on-site detection.DNAzyme-based biosensors offer a novel solution through their unique molecular recognition and catalytic properties,enabling sensitive,cost-effective,and portable detection.For instance,DNAzyme sensors targeting Escherichia coli have achieved detection limits as low as 103 CFU/mL in food matrices like meat and juice,while colorimetric DNAzyme platforms for lead ion(Pb2+)detection have demonstrated sensitivity down to 1 nmol/L,making them suitable for on-site monitoring.This review systematically explores the applications of DNAzyme technology in detecting food contaminants,including pathogens,mycotoxins,heavy metals,antibiotics,and pesticide residues.This highlights the advantages of DNAzyme technology in terms of rapid detection,enhanced sensitivity,and strong anti-interference capability while critically analyzing the challenges encountered in real-world applications.Furthermore,this review proposes key directions for advancing DNAzyme commercialization and interdisciplinary integration,providing a foundation for future developments in food safety diagnostics.
文摘The spice model for photo catalytic sensor （PCS） proposed by Whig and Ahmad overcomes several drawbacks like complex designing, non-linearity, and long computation time generally found in the flow injection analysis （FIA） technique by Yoon-Chang Kim et al. for the determination of chemical oxygen demand （COD）. The FIA technique involves the complete analysis including sampling and washing. The flow injection analysis is an analytical method for the measurement of the chemical oxygen demand by using the photochemical column. This method uses a bulky setup and takes 10 minutes to 15 minutes to get the output result which is a tedious and time consuming job. If the conventional method is continuously used for a long time then it is stable only for 15 days. The purpose of this paper is to propose a new floating gate photo catalytic sensor （FGPCS） approach which has low power consumption and more user-friendly, and it is fast in operation by the modeling and optimization of sensor used for water quality monitoring. The proposed model operates under sub-threshold conditions which are appreciated in large integrated system design. The results of simulation are found to be fairly in agreement with the theoretical predictions. The results exhibit near linear variations of parameters of interest with appreciably reduced response time.
