An instrument-free, integrated micro-platform for rapid and multiplexed detection of dairy adulteration in resource-limited environments

微流控 乳品工业 环介导等温扩增 工艺工程 计算机科学 生化工程 工程类 纳米技术 化学 材料科学 食品科学 生物化学 DNA
作者
Nan Wang,Xiaoyun Sun,Juan Zhang,Ying Chen,Jiukai Zhang,Fengchun Huang,Ailiang Chen
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:257: 116325-116325 被引量:2
标识
DOI:10.1016/j.bios.2024.116325
摘要

In dairy industry, expensive yak's milk, camel's milk, and other specialty dairy products are often adulterated with low-cost cow's milk, goat's milk and so on. Currently, the detection of specialty dairy products typically requires laboratory settings and relies on skilled operators. Therefore, there is an urgent need to develop a multi-detection technology and on-site rapid detection technique to enhance the efficiency and accuracy of the detection of specialty dairy products. In this study, we introduced a fully integrated and portable microfluidic detection platform called Sector Self-Driving Microfluidics (SDM), designed to simultaneously detect eight common species-specific components in milk. SDM integrated nucleic acid extraction, purification, loop-mediated isothermal amplification (LAMP), and lateral flow strip (LFS) detection functions into a closed microfluidic system, enabling contamination-free visual detection. The SDM platform used a constant-temperature heating plate, powered by a mobile battery, eliminated the need for additional power support. The SDM platform achieved nucleic acid enrichment and transfer through magnetic force and liquid flow driven by capillary forces, operating without external pumps. The standalone SDM platform could detect dairy components with as low as 1% content within 1 h. Validation with 35 commercially available samples demonstrated 100% specificity and accuracy compared to the gold standard real-time PCR. The SDM platform provided the dairy industry with an efficient, convenient, and accurate detection tool, enabling rapid on-site testing at production facilities or sales points. This facilitated real-time monitoring of quality issues during the production process, quickly identifying potential risks and preventing substandard products from entering the market.
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