商品牛奶的自动核磁共振谱分析

IF 2.8 Q2 FOOD SCIENCE & TECHNOLOGY
Brian L. Lee, Alyaa Selim, Alanne Tenório Nunes, Prashanthi Kovur, Rupasri Mandal and David S. Wishart*, 
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引用次数: 0

摘要

MagMet是一个能够自动处理和分析一维(1D) 1H核磁共振谱的小分子复杂混合物的程序。我们之前已经将MagMet用于人体生物液体的自动分析,包括过滤后的血清和粪便提取物以及葡萄酒和啤酒等饮料。在这项研究中,我们开发了一个新版本的MagMet (MagMet- m),能够分析在700 MHz下获得的商业牛奶的1D 1H NMR光谱。这个版本的MagMet包含了81个丰富的,通常在商业牛奶样品中检测到的小分子代谢物库。对MagMet-M进行了优化,以准确识别和量化四种不同乳脂含量的商品牛奶中的这些代谢物。通过与使用商业软件Chenomx(8.3版)的手动分析进行比较,评估了MagMet-M自动分析的性能。在两个程序之间观察到良好的一致性,总体中位数和平均绝对百分比误差分别为5%和9%。此外,MagMet-M的自动分析比手动分析快十倍以上,使MagMet-M适用于高通量应用。MagMet可以在https://www.magmet.ca上找到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Automatic NMR Spectral Profiling of Commercial Cow’s Milk

Automatic NMR Spectral Profiling of Commercial Cow’s Milk

MagMet is a program capable of automatically processing and profiling one-dimensional (1D) 1H NMR spectra of complex mixtures of small molecules. We have previously adapted MagMet for the automated analysis of human biofluids, including filtered serum and fecal extracts as well as beverages such as wine and beer. In this study, we have developed a new version of MagMet (MagMet-M) capable of profiling the 1D 1H NMR spectra of commercial cow’s milk acquired at 700 MHz. This version of MagMet contains a library of 81 abundant, small molecule metabolites commonly detected in commercial cow’s milk samples. MagMet-M was optimized to accurately identify and quantify these metabolites in four types of commercial cow’s milk with varying milk fat content. The performance of the automated profiling by MagMet-M was evaluated by comparison to manual profiling using the commercial software Chenomx (version 8.3). Good agreement was observed between the two programs, with overall median and mean absolute percent error of 5 and 9%, respectively. Furthermore, automated analysis by MagMet-M is more than ten times faster than manual analysis, making MagMet-M suitable for high throughput applications. MagMet is available at https://www.magmet.ca.

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CiteScore
3.30
自引率
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