The Accurate and Exclusive Quantification of Somatic Cells in Raw Milk with an OPD-Cu2+ System-Based Colorimetric Method
Author:
Xie Menghui12, Wang Meng1, Liu Siyuan1, Liu Yingying1, Wang Ziquan1, Zhou Guoping2, Sui Zhiwei1
Affiliation:
1. Center for Advanced Measurement Science, National Institute of Metrology, Beijing 100029, China 2. School of Life Science and Technology, Wuhan Polytechnic University, Wuhan 430023, China
Abstract
The somatic cell count (SCC) refers to the number of somatic cells present in each milliliter of raw milk and serves as a crucial indicator of dairy cow udder health and raw milk quality. Traditional SCC detection methods are often time-consuming, expensive, and susceptible to bacterial interference, rendering them unsuitable for the rapid and unbiased assessment of raw milk quality. Consequently, there is an urgent need for a low-cost, accurate, and user-friendly SCC quantification method. Here, a method based on an OPD-Cu2+ system for SCC quantification was developed. It was found that OPD oxidation signals exhibited a linear correlation with SCC. Following optimization, the detection system was established with a Cu2+ concentration of 25 μM, an OPD concentration of 2 mM, and an incubation time of 15 min. Furthermore, the method demonstrated significant resistance to bacterial interference, though it produced weaker signals in response to bacteria. The somatic cell recovery rate in milk after pretreatment was 88.9%, and SCC was quantified accurately within 45 min, with a linear range of 104–106 cells/mL. In summary, the method developed is cost-effective, straightforward, and facilitates precise somatic cell quantification, offering significant practical value and a new approach for SCC detection in raw milk.
Funder
National Key Research and Development Program of China National Institute of Metrology, P.R. China National Natural Science Foundation of China Science and Technology Program of the State Administration for Market Regulation
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