4.7 Article

A rapid method to quantify casein in fluid milk by front-face fluorescence spectroscopy combined with chemometrics

期刊

JOURNAL OF DAIRY SCIENCE
卷 104, 期 1, 页码 243-252

出版社

ELSEVIER SCIENCE INC
DOI: 10.3168/jds.2020-18799

关键词

casein; rapid method; partial least square regression; elastic net regression

资金

  1. Kansas State Research and Extension [12-278-J]

向作者/读者索取更多资源

The study utilized front-face fluorescence spectroscopy and chemometrics to measure casein content in fluid milk with different casein-to-crude-protein ratios, achieving accurate predictions and demonstrating practical model performance for quality-control in the dairy industry.
Casein in fluid milk determines cheese yield and affects cheese quality. Traditional methods of measuring casein in milk involve lengthy sample preparations with labor-intensive nitrogen-based protein quantifications. The objective of this study was to quantify casein in fluid milk with different casein-to-crude-protein ratios using front-face fluorescence spectroscopy (FFFS) and chemometrics. We constructed calibration samples by mixing microfiltration and ultrafiltration retentate and permeate in different ratios to obtain different casein concentrations and casein-to-crude-protein ratios. We developed partial least squares regression and elastic net regression models for casein prediction in fluid milk using FFFS tryptophan emission spectra and reference casein contents. We used a set of 20 validation samples (including raw, skim, and ultrafiltered milk) to optimize and validate model performance. We externally tested another independent set of 20 test samples (including raw, skim, and ultrafiltered milk) by root mean square error of prediction (RMSEP), residual prediction deviation (RPD), and relative prediction error (RPE). The RMSEP for casein content quantification in raw, skim, and ultrafiltered milk ranged from 0.12 to 0.13%, and the RPD ranged from 3.2 to 3.4. The externally validated error of prediction was comparable to the existing rapid method and showed practical model performance for quality-control purposes. This FFFS-based method can be implemented as a routine quality-control tool in the dairy industry, providing rapid quantification of casein content in fluid milk intended for cheese manufacturing.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据