以鸡肉为模型系统,利用拉曼光谱区分肉类中的肌肉和组织

IF 2.4 3区 化学 Q2 SPECTROSCOPY
Patience T. Shoko, Ewan W. Blanch, Peter J. Torley, Christopher Pillidge
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引用次数: 0

摘要

拉曼光谱在肉类加工业中作为质量保证的应用取决于其区分动物组织的能力。肉类以不同的切割方式进行商业化,其质量和经济价值各不相同。虽然可以对肉类质量进行一些分析,但成本高、时间长。肉类加工业可以从大量肉类质量的快速表征方法中获益。本研究展示了拉曼光谱与化学计量学相结合来鉴别鸡胴体组织的能力。来自不同组织的所有光谱都应用化学计量学进行了分析。主成分分析 (PCA) 和判别函数分析 (DFA) 成功地对不同肌肉和组织进行了分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System

Raman Spectroscopy for the Differentiation of Muscles and Tissues in Meat Using Chicken as a Model System

The application of Raman spectroscopy in the meat processing industry as a quality assurance is dependent on its ability to differentiate tissues from the animal. Meat is commercialised as different cuts with variations in quality and financial value. Whilst it is possible to conduct some analysis on meat quality, there are high costs and time involved. The meat processing industry could benefit from rapid methods for characterising meat quality for large quantities. This study demonstrates the ability of combining Raman spectroscopy with chemometrics to discriminate tissues in a chicken carcass. All spectra from the different tissues were analysed by applying chemometrics. The principal component analysis (PCA) and discriminant function analysis (DFA) showed successful classification of different muscles and tissues.

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来源期刊
CiteScore
5.40
自引率
8.00%
发文量
185
审稿时长
3.0 months
期刊介绍: The Journal of Raman Spectroscopy is an international journal dedicated to the publication of original research at the cutting edge of all areas of science and technology related to Raman spectroscopy. The journal seeks to be the central forum for documenting the evolution of the broadly-defined field of Raman spectroscopy that includes an increasing number of rapidly developing techniques and an ever-widening array of interdisciplinary applications. Such topics include time-resolved, coherent and non-linear Raman spectroscopies, nanostructure-based surface-enhanced and tip-enhanced Raman spectroscopies of molecules, resonance Raman to investigate the structure-function relationships and dynamics of biological molecules, linear and nonlinear Raman imaging and microscopy, biomedical applications of Raman, theoretical formalism and advances in quantum computational methodology of all forms of Raman scattering, Raman spectroscopy in archaeology and art, advances in remote Raman sensing and industrial applications, and Raman optical activity of all classes of chiral molecules.
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