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傅里叶变换红外光声光谱法在气候变化条件下水稻品质快速评估中的应用

Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions.

作者信息

Wei Lianlian, Ma Fei, Du Changwen

机构信息

The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.

College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.

出版信息

Foods. 2021 Jan 14;10(1):159. doi: 10.3390/foods10010159.

Abstract

Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS), versus attenuated total reflectance spectroscopy (FTIR-ATR) and diffuse reflectance spectroscopy (DRIFT), was firstly applied in quick assessment of rice quality in response to rising CO/temperature instead of conventional time-consuming chemical methods. The influences of elevated CO and higher temperature were identified using FTIR-PAS spectra by principal component analysis (PCA). Variations in the rice functional groups are crucial indicators for rice identification, and the ratio of the intensities of two selected spectral bands was used for correlation analysis with starch, protein, and lipid content, and the ratios all showed a positive linear correlation ( = 0.9103, = 0.9580, and = 0.9246, respectively). Subsequently, changes in nutritional components under future environmental conditions that encompass higher CO and temperature were evaluated, which demonstrated the potential of FTIR-PAS to detect the responses of rice to climate change, providing a valuable technique for agricultural production and food security.

摘要

与衰减全反射光谱法(FTIR-ATR)和漫反射光谱法(DRIFT)相比,傅里叶变换红外光声光谱法(FTIR-PAS)首次被用于快速评估水稻在二氧化碳浓度升高/温度升高情况下的品质,而非传统的耗时化学方法。通过主成分分析(PCA)利用FTIR-PAS光谱确定了二氧化碳浓度升高和温度升高的影响。水稻官能团的变化是水稻鉴定的关键指标,所选两个光谱带强度的比值用于与淀粉、蛋白质和脂质含量进行相关性分析,且这些比值均呈现正线性相关(分别为r = 0.9103、r = 0.9580和r = 0.9246)。随后,评估了未来包含更高二氧化碳浓度和温度的环境条件下营养成分的变化,这证明了FTIR-PAS检测水稻对气候变化响应的潜力,为农业生产和粮食安全提供了一项有价值的技术。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/809d/7828744/a6c42b7b2613/foods-10-00159-g001.jpg

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