1 Lacombe Research and Development Centre, Agriculture and Agri-Food Canada, AB, Canada.
2 P&P Optica Inc, Kitchener, ON, Canada.
Appl Spectrosc. 2017 Jul;71(7):1403-1426. doi: 10.1177/0003702817709299. Epub 2017 May 23.
Consumer demand for quality and healthfulness has led to a higher need for quality assurance in meat production. This requirement has increased interest in near-infrared (NIR) spectroscopy due to the ability for rapid, environmentally friendly, and noninvasive prediction of meat quality or authentication of added-value meat products. This review includes the principles of NIR spectroscopy, pre-processing methods, and multivariate analyses used for quantitative and qualitative purposes in the meat sector. Recent advances in portable NIR spectrometers that enable new online applications in the meat industry are shown and their performance evaluated. Discrepancies between published studies and potential sources of variability are discussed, and further research is encouraged to face the challenges of using NIRS technology in commercial applications, so that its full potential can be achieved.
消费者对质量和健康的需求导致对肉类生产质量保证的需求更高。由于近红外(NIR)光谱能够快速、环保且非侵入性地预测肉类质量或验证增值肉类产品,因此这种需求增加了对近红外光谱的兴趣。本综述包括 NIR 光谱的原理、预处理方法以及用于肉类定量和定性目的的多元分析。展示了用于使肉类行业能够实现新的在线应用的便携式近红外光谱仪的最新进展,并对其性能进行了评估。讨论了发表的研究之间的差异以及潜在的可变性来源,并鼓励进行进一步的研究,以应对在商业应用中使用 NIRS 技术的挑战,从而充分发挥其潜力。