Nanozyme-Powered Multimodal Sensing for Pesticide Detection
The detection of pesticide residues in food is crucial for ensuring food safety, safeguarding public health, and promoting sustainable development. Overusing pesticides on agricultural crops can lead to the emergence of various diseases. Traditional methods for detecting pesticides offer high precis...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-05-01
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| Series: | Foods |
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| Online Access: | https://www.mdpi.com/2304-8158/14/11/1957 |
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| author | Binfeng Yin Zhuoao Jiang Rashid Muhammad Jun Liu Junjie Wang |
| author_facet | Binfeng Yin Zhuoao Jiang Rashid Muhammad Jun Liu Junjie Wang |
| author_sort | Binfeng Yin |
| collection | DOAJ |
| description | The detection of pesticide residues in food is crucial for ensuring food safety, safeguarding public health, and promoting sustainable development. Overusing pesticides on agricultural crops can lead to the emergence of various diseases. Traditional methods for detecting pesticides offer high precision with limitations like high cost, the requirement of expert technicians, and tedious analytical procedures. To address these issues, nanozymes have been widely applied due to their advantages such as low cost, high stability, and high sensitivity. This review summarizes the research progress of nanozymes in the detection of pesticide residues in food over the last decade, focusing on the synthesis strategies and catalytic mechanisms of carbon-based, metal-based, metal-oxide-based, metal–organic framework (MOF)-based, fluorescence-based, and other X-based nanozymes. This review covers the application of multimodal sensing based on nanozymes in the detection of pesticides, including colorimetric/fluorescence, fluorescence/photothermal, photothermal/colorimetric, and other multimodal sensing techniques. Finally, this review discusses the main challenges currently faced by nanozymes in the detection of pesticides and the current applications of using AI with nanozymes. It also presents future development prospects, with the aim of providing references for the selection of X-based nanozymes and the choice of appropriate detection methods when dealing with traditional and new pesticides in combination with AI. |
| format | Article |
| id | doaj-art-58caac486e044d0baf84a86a0b22b8ff |
| institution | OA Journals |
| issn | 2304-8158 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Foods |
| spelling | doaj-art-58caac486e044d0baf84a86a0b22b8ff2025-08-20T02:23:07ZengMDPI AGFoods2304-81582025-05-011411195710.3390/foods14111957Nanozyme-Powered Multimodal Sensing for Pesticide DetectionBinfeng Yin0Zhuoao Jiang1Rashid Muhammad2Jun Liu3Junjie Wang4School of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaSuqian Product Quality Supervision and Inspection Institute, Suqian 223800, ChinaSchool of Mechanical Engineering, Yangzhou University, Yangzhou 225127, ChinaThe detection of pesticide residues in food is crucial for ensuring food safety, safeguarding public health, and promoting sustainable development. Overusing pesticides on agricultural crops can lead to the emergence of various diseases. Traditional methods for detecting pesticides offer high precision with limitations like high cost, the requirement of expert technicians, and tedious analytical procedures. To address these issues, nanozymes have been widely applied due to their advantages such as low cost, high stability, and high sensitivity. This review summarizes the research progress of nanozymes in the detection of pesticide residues in food over the last decade, focusing on the synthesis strategies and catalytic mechanisms of carbon-based, metal-based, metal-oxide-based, metal–organic framework (MOF)-based, fluorescence-based, and other X-based nanozymes. This review covers the application of multimodal sensing based on nanozymes in the detection of pesticides, including colorimetric/fluorescence, fluorescence/photothermal, photothermal/colorimetric, and other multimodal sensing techniques. Finally, this review discusses the main challenges currently faced by nanozymes in the detection of pesticides and the current applications of using AI with nanozymes. It also presents future development prospects, with the aim of providing references for the selection of X-based nanozymes and the choice of appropriate detection methods when dealing with traditional and new pesticides in combination with AI.https://www.mdpi.com/2304-8158/14/11/1957pesticide residuesnanozymesmultimodal sensingAIfood safety |
| spellingShingle | Binfeng Yin Zhuoao Jiang Rashid Muhammad Jun Liu Junjie Wang Nanozyme-Powered Multimodal Sensing for Pesticide Detection Foods pesticide residues nanozymes multimodal sensing AI food safety |
| title | Nanozyme-Powered Multimodal Sensing for Pesticide Detection |
| title_full | Nanozyme-Powered Multimodal Sensing for Pesticide Detection |
| title_fullStr | Nanozyme-Powered Multimodal Sensing for Pesticide Detection |
| title_full_unstemmed | Nanozyme-Powered Multimodal Sensing for Pesticide Detection |
| title_short | Nanozyme-Powered Multimodal Sensing for Pesticide Detection |
| title_sort | nanozyme powered multimodal sensing for pesticide detection |
| topic | pesticide residues nanozymes multimodal sensing AI food safety |
| url | https://www.mdpi.com/2304-8158/14/11/1957 |
| work_keys_str_mv | AT binfengyin nanozymepoweredmultimodalsensingforpesticidedetection AT zhuoaojiang nanozymepoweredmultimodalsensingforpesticidedetection AT rashidmuhammad nanozymepoweredmultimodalsensingforpesticidedetection AT junliu nanozymepoweredmultimodalsensingforpesticidedetection AT junjiewang nanozymepoweredmultimodalsensingforpesticidedetection |