Research Progress of Biosensors in the Detection of Pesticide Residues and Heavy Metals in Tea Leaves

Tea, a worldwide prevalent beverage, is continually contaminated by pesticide residues and heavy metals, presenting considerable health concerns to consumers. Nonetheless, effective monitoring is limited by conventional detection techniques-such as gas chromatography (GC) and inductively coupled plasma mass spectrometry (ICP-MS)-which, despite their high precision, necessitate intricate pretreatment, incur substantial operational expenses, and are inadequate for swift on-site analysis. Biosensors have emerged as a viable option, addressing this gap with their exceptional sensitivity, rapid response, and ease of operation.This review rigorously evaluates recent advancements in biosensing technologies for the detection of pesticide residues and heavy metals in tea, emphasizing the mechanisms, analytical performance, and practical applicability of prominent platforms such as fluorescence, surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), colorimetric, and electrochemical biosensors. Electrochemical and fluorescent biosensors provide the highest promise for portable, on-site use owing to their enhanced sensitivity, cost-effectiveness, and flexibility to intricate tea matrices. The paper further emphasizes upcoming techniques such multi-component detection, microfluidic integration, and AI-enhanced data processing. Biosensors provide significant potential to revolutionize tea safety monitoring, with future advancements dependent on the synergistic incorporation of sophisticated nanomaterials, intelligent microdevices, and real-time analytics across the whole "tea garden-to-cup" supply chain.

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Publication Details

Journal
Biosensors
Published
2025-11-26
DOI
https://doi.org/10.3390/bios15120778
Citations
2
Primary Topic
Pesticide Residue Analysis and Safety
Type
article
Field-Weighted Citation Impact
2.32

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article

Research Progress of Biosensors in the Detection of Pesticide Residues and Heavy Metals in Tea Leaves

Miaopeng Chen, Pin Li, Shanran Wang, Long Wu et al.
2 citations
Biosensors
Pesticide Residue Analysis and Safety
2.32
article

Research Progress of Biosensors in the Detection of Pesticide Residues and Heavy Metals in Tea Leaves

Miaopeng Chen, Pin Li, Shanran Wang, Long Wu, Ying Song, Yu Han, Tao Yao, Jia Yin
article en
2 citations

Abstract

Tea, a worldwide prevalent beverage, is continually contaminated by pesticide residues and heavy metals, presenting considerable health concerns to consumers. Nonetheless, effective monitoring is limited by conventional detection techniques-such as gas chromatography (GC) and inductively coupled plasma mass spectrometry (ICP-MS)-which, despite their high precision, necessitate intricate pretreatment, incur substantial operational expenses, and are inadequate for swift on-site analysis. Biosensors have emerged as a viable option, addressing this gap with their exceptional sensitivity, rapid response, and ease of operation.This review rigorously evaluates recent advancements in biosensing technologies for the detection of pesticide residues and heavy metals in tea, emphasizing the mechanisms, analytical performance, and practical applicability of prominent platforms such as fluorescence, surface-enhanced Raman scattering (SERS), surface plasmon resonance (SPR), colorimetric, and electrochemical biosensors. Electrochemical and fluorescent biosensors provide the highest promise for portable, on-site use owing to their enhanced sensitivity, cost-effectiveness, and flexibility to intricate tea matrices. The paper further emphasizes upcoming techniques such multi-component detection, microfluidic integration, and AI-enhanced data processing. Biosensors provide significant potential to revolutionize tea safety monitoring, with future advancements dependent on the synergistic incorporation of sophisticated nanomaterials, intelligent microdevices, and real-time analytics across the whole "tea garden-to-cup" supply chain.

BiosensorsVol. 15(12)
Qinghai University (CN), Hainan University (CN), Qinghai New Energy (China) (CN), Hubei Engineering University (CN), Beihang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province, Natural Science Foundation of Xiaogan City
Openalex Percentile: Top 10%
Pesticide Residue Analysis and Safety
2.32
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