利用电导率特性体细胞计数检测奶牛乳腺炎乳

Karl Lienus S. Tungol, Jvee Mikell B. Primero, J. Villaverde
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引用次数: 0

摘要

本研究描述了奶牛乳腺炎感染在乳汁中的临床和亚临床乳腺炎的检测。乳腺炎的出现触发牛的免疫系统分泌一定浓度的离子,Na+和Cl-,以平衡毛细血管渗透性变化引起的渗透压。这使得电导率成为检测乳腺炎的重要指标。使用电导率作为检测乳腺炎的指标的优点是不必依赖感官测试,而感官测试有一个很大的缺点,因为奶农的评估与基于牛奶的外观、颜色、气味和味道的可接受的评估有很大的不同。在基于传感器的系统上使用温度传感器和电导率探头。该装置对测量的电导率进行温度补偿,并报告在参考温度下的电导率。电导率计电路用于处理从探头和温度传感器采集的数据。通过分析电导率数据和体细胞计数,可以预测乳汁的乳腺炎感染水平。利用给出的样本数据,通过多项式回归进一步预测数据,形成方程$\ mathm {y}=9137.86\times 3-199200.97\times 2+1482591.79\ mathm {x} -3523533.92$,其中y为计算体细胞计数,x为电导率的测量值。然后通过标准体细胞计数阈值和中央吕宋州立大学开发的乳房检查分级来确定乳汁等级。根据获得的数据,实验室测量的数据与系统测量的数据之间没有显著差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Detection of Bovine Mastitis Milk through Somatic Cell Count using Electrical Conductivity Property
this study describes the detection of bovine mastitis infection in milk for both clinical and subclinical mastitis. The presence of mastitis triggers the bovine's immune system to secrete a concentration of certain ions, Na+, and Cl-, to balance the osmotic pressure caused by changes in the blood capillary permeability. This makes electrical conductivity a great indicator in detecting mastitis. The advantage of using electrical conductivity as an indicator in detecting mastitis is not having to rely on an organoleptic test which has a big drawback since dairy farmer's assessment differs widely from what is considered acceptable based on the milk's appearance, color, smell, and taste. A temperature sensor and an electrical conductivity probe are used on the sensor-based system. The device applies temperature compensation to the measured electrical conductivity and reports what the electrical conductivity would be at the reference temperature. The electrical conductivity meter circuit is utilized to process the gathered data from the probe and temperature sensor. By analyzing the electrical conductivity data and the somatic cell count, an estimate of the level of mastitis infectivity of the milk can be projected. Using the sample data given, and polynomial regression to further predict data, an equation was formed $\mathrm{y}=9137.86\times 3-199200.97\times 2+1482591.79\mathrm{x} -3523533.92$ where y is the calculated somatic cell count and x is the value of measured electric conductivity. The milk grade is then determined through the standard somatic cell count threshold and Masti-check grading developed by Central Luzon State University. Based on the data acquired, there is no significant difference between the data measured from the laboratory and the data measured from the system.
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