包装与食品机械2026，Vol.44Issue(4)：12-25,14.DOI:10.3969/j.issn.1005-1295.2026.04.002
复杂食品基质中污染物的纸基微流控检测进展
Advances in paper-based microfluidic detection of contaminants in complex food matrices
摘要
Abstract
To address the challenges of complex matrices,fragmented detection workflows,and insufficient standardized validation in the on-site rapid screening of food contaminants,this review systematically summarizes the research progress of paper-based microfluidic platforms for food contaminant detection.Recent studies are categorized and analyzed from four perspectives:paper-based materials and structural configurations,signal transduction and readout strategies,typical contaminant detection applications,and bottlenecks in practical deployment.Existing research has developed diverse substrate materials including cellulose filter paper,nitrocellulose membranes,glass fiber paper,office paper,nanocellulose paper,and composite functional paper.Multiple detection modalities have been established,including colorimetric,fluorescent,chemiluminescent,electrochemical,surface-enhanced Raman scattering,photoelectrochemical,and smartphone-assisted readout.Representative studies have achieved on-site pesticide detection within 10 minutes and simultaneous detection of four heavy metals,with recoveries ranging from 84.0%to 104.1%in real samples.However,the limits of detection,recoveries,reproducibility,and on-site quantitative capabilities of paper-based microfluidic platforms vary considerably across different contaminant categories,food matrices,and signal readout modes.Although paper-based microfluidic platforms offer advantages such as low cost,portability,and ease of integration,their application remains constrained by matrix interference from complex food samples,insufficient device batch-to-batch consistency,limited pretreatment capability,and insufficient standardized validation.Future efforts should focus on modular pretreatment,multimodal signal validation,standardized smartphone-based readout,and validation with real samples.关键词
纸基微流控平台/食品污染物/信号机制/现场检测/数字化判读Key words
paper-based microfluidic platform/food contaminants/signal transduction mechanisms/on-site detection/digital readout分类
轻工纺织引用本文复制引用
刘培华,张菊,董莹,陈子凡,田君飞,张南峰..复杂食品基质中污染物的纸基微流控检测进展[J].包装与食品机械,2026,44(4):12-25,14.基金项目
海关总署科研项目(2025HK146) （2025HK146）
广东省口岸安全智能化检测重点实验室项目(2023B1212010011) （2023B1212010011）
