A smartphone-based diagnostic analyzer for point-of-care milk somatic cell counting.

Autor: Sun X; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: sxiaoyun2022@163.com., Zhao R; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: 1060702207@qq.com., Wang X; Beijing BETA Technology Co., Ltd, Beijing, 101300, China. Electronic address: 13426078192@139.com., Wu Y; Beijing BETA Technology Co., Ltd, Beijing, 101300, China. Electronic address: yunlong.wu@betasci.cn., Yang D; Beijing BETA Technology Co., Ltd, Beijing, 101300, China. Electronic address: degang.yang@betasci.cn., Wang J; Beijing BETA Technology Co., Ltd, Beijing, 101300, China. Electronic address: jianhui.wang@betasci.cn., Wu Z; Beijing BETA Technology Co., Ltd, Beijing, 101300, China. Electronic address: zhihong.wu@betasci.cn., Wang N; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: wangnan_cna@163.com., Zhang J; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: 15110679191@yeah.net., Xiao B; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: xb17330377303@163.com., Chen J; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: chenjc.bio@gmail.com., Huang F; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: huangfengchun@caas.cn., Chen A; Institute of Quality Standard & Testing Technology for Agro-Products, Key Laboratory of Agro-product Quality and Safety, Chinese Academy of Agricultural Sciences, Beijing, 100081, China. Electronic address: ailiang.chen@gmail.com.
Jazyk: angličtina
Zdroj: Analytica chimica acta [Anal Chim Acta] 2024 May 22; Vol. 1304, pp. 342540. Date of Electronic Publication: 2024 Apr 03.
DOI: 10.1016/j.aca.2024.342540
Abstrakt: Background: Mastitis, a pervasive and detrimental disease in dairy farming, poses a significant challenge to the global dairy industry. Monitoring the milk somatic cell count (SCC) is vital for assessing the incidence of mastitis and the quality of raw cow's milk. However, existing SCC detection methods typically require large-scale instruments and specialized operators, limiting their application in resource-constrained settings such as dairy farms and small-scale labs. To address these limitations, this study introduces a novel, smartphone-based, on-site SCC testing method that leverages smartphone capabilities for milk somatic cell identification and enumeration, offering a portable and user-friendly testing platform.
Results: The central findings of our study demonstrate the effectiveness of the proposed method for counting milk somatic cells. Its on-site applicability, facilitated by the microfluidic chip, optical system, and smartphone integration, heralds a paradigm shift in point-of-care testing (POCT) for dairy farms and smaller laboratories. This approach bypasses complex processing and presents a user-friendly solution for real-time SCC monitoring in resource-limited settings. This device boasts several unique features: small size, low cost (<$1,000 total manufacturing cost and <$1 per test), and high accuracy. Remarkably, it delivers test results within just 2 min. Actual-sample testing confirmed its consistency with results from the commercial Bentley FTS/FCM cytometer, affirming the reliability of the proposed method. Overall, these results underscore the potential for transformative change in dairy farm management and laboratory testing practices.
Significance: In summary, this study concludes that the proposed smartphone-based method significantly contributes to the accessibility and ease of SCC testing in resource-limited environments. By fostering the use of POCT technology in food safety control, particularly in the dairy industry, this innovative approach has the potential to revolutionize the monitoring and management of mastitis, ultimately benefiting the global dairy sector.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2024 Elsevier B.V. All rights reserved.)
Databáze: MEDLINE