Estimation of komatsuna freshness using visible and near-infrared spectroscopy based on the interpretation of NMR metabolomics analysis
Estimation of komatsuna freshness using visible and near-infrared spectroscopy based on the interpretation of NMR metabolomics analysis
复制标题
基于 NMR 代谢组学分析的解释，使用可见光和近红外光谱估计小松菜的新鲜度
DOI：
10.1016/j.foodchem.2021.130381
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发表时间：
2021
期刊：
影响因子：
8.8
通讯作者：
Tsuta Mizuki
中科院分区：
文献类型：
--
作者：
Li Xinyue;Sekiyama Yasuyo;Nakamura Nobutaka;Suzuki Yoko;Tsuta Mizuki
本研究旨在探讨可见-近红外光谱技术在小松菜鲜度评价中的应用潜力及机理。以小松菜在不同贮藏条件下的CO2累积量作为鲜度指标，以可见-近红外光谱作为预测指标。利用逐步选择性比值法选择的信息波长，通过PLSR分析构建了一个准确的新鲜度预测模型。在可见光区的IW归因于色素，如叶绿素。在近红外区，10种氨基酸被确定为直接或间接有助于IW，并与新鲜度高度相关。它们被证实的基础上的信息NIR信号和NMR信号，这是确定使用统计异质光谱之间的强相关性。结果表明，可见-近红外光谱在使用IW评价小松菜新鲜度的可行性。
The objective of this study was to explore the potentiality and mechanism of visible and near-infrared (Vis-NIR) spectroscopy in estimating the freshness of komatsuna. We monitored the cumulative CO2production of komatsuna stored under different conditions as a freshness indicator and measured the Vis-NIR spectra of komatsuna as the predictor. Using the informative wavelengths (IW) selected using the stepwise selectivity ratio method, we constructed an accurate freshness prediction model through PLSR analysis. The IW in the visible region were attributed to pigments such as chlorophyll. In the NIR region, ten amino acids were identified as directly or indirectly contributing to the IW and were highly related to freshness. They were confirmed on the basis of the strong correlations between the informative NIR signals and NMR signals, which were determined using statistical heterospectroscopy. The results demonstrate the feasibility of Vis-NIR spectroscopy in estimating the freshness of komatsuna using the IW.