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利用可见近红外光谱法对桃果实无损果肉硬度测量原理的研究。

An examination of the principle of non-destructive flesh firmness measurement of peach fruit by using VIS-NIR spectroscopy.

作者信息

Uwadaira Yasuhiro, Sekiyama Yasuyo, Ikehata Akifumi

机构信息

Food Research Institute, NARO, 2-1-12 Kannondai, Tsukuba, Ibaraki 305-8642, Japan.

出版信息

Heliyon. 2018 Mar 1;4(2):e00531. doi: 10.1016/j.heliyon.2018.e00531. eCollection 2018 Feb.

Abstract

Evaluating the maturity of peach fruit is desirable during both the preharvest and postharvest periods, and flesh firmness (FF) is a representative maturity index. Although a non-destructive FF measurement technique using visible (VIS) and near-infrared (NIR) spectroscopy has been developed, the principle has been unclear. This study was conducted to examine the structure of the FF prediction model by comparing with that of the model for measuring water-soluble pectin (WSP) content. Those two prediction models have the same information regions related to the colors of pericarp and mesocarp (chlorophyll) and to a water band in the NIR region. Moreover, a statistical heterospectroscopy analysis between NIR and H nuclear magnetic resonance (NMR) spectra suggests the possibility that absorptions of methanol and succinate as well as galacturonic acid embedded in a water band play important roles in predicting FF. This approach would enhance the reliability of nondestructive VIS-NIR prediction models in many practical situations.

摘要

在采前和采后阶段评估桃果实的成熟度都是很有必要的,果肉硬度(FF)是一个具有代表性的成熟度指标。尽管已经开发出一种利用可见(VIS)和近红外(NIR)光谱的无损FF测量技术,但其原理尚不清楚。本研究通过与测量水溶性果胶(WSP)含量的模型进行比较,来检验FF预测模型的结构。这两个预测模型具有与果皮和中果皮颜色(叶绿素)以及近红外区域的水吸收带相关的相同信息区域。此外,近红外光谱与氢核磁共振(NMR)光谱之间的统计异谱分析表明,甲醇、琥珀酸盐以及嵌入水吸收带中的半乳糖醛酸的吸收在预测FF中可能起重要作用。这种方法将在许多实际情况下提高无损可见-近红外预测模型的可靠性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50e9/5857633/c924c49f6573/gr1.jpg

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