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

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<sub>2</sub>/temperature instead of...

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Main Authors: Lianlian Wei, Fei Ma, Changwen Du
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Foods
Subjects:
Online Access:https://www.mdpi.com/2304-8158/10/1/159
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spelling doaj-17d157db77b84f1da782cf2e629048d52021-01-15T00:00:33ZengMDPI AGFoods2304-81582021-01-011015915910.3390/foods10010159Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change ConditionsLianlian Wei0Fei Ma1Changwen Du2The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, ChinaThe State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, ChinaThe State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, ChinaFourier 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<sub>2</sub>/temperature instead of conventional time-consuming chemical methods. The influences of elevated CO<sub>2</sub> 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 (<i>R</i><sup>2</sup> = 0.9103, <i>R</i><sup>2</sup> = 0.9580, and <i>R</i><sup>2</sup> = 0.9246, respectively). Subsequently, changes in nutritional components under future environmental conditions that encompass higher CO<sub>2</sub> 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.https://www.mdpi.com/2304-8158/10/1/159Fourier transform infrared photoacoustic spectroscopyclimate changerice qualityprincipal component analysis
collection DOAJ
language English
format Article
sources DOAJ
author Lianlian Wei
Fei Ma
Changwen Du
spellingShingle Lianlian Wei
Fei Ma
Changwen Du
Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
Foods
Fourier transform infrared photoacoustic spectroscopy
climate change
rice quality
principal component analysis
author_facet Lianlian Wei
Fei Ma
Changwen Du
author_sort Lianlian Wei
title Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
title_short Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
title_full Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
title_fullStr Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
title_full_unstemmed Application of FTIR-PAS in Rapid Assessment of Rice Quality under Climate Change Conditions
title_sort application of ftir-pas in rapid assessment of rice quality under climate change conditions
publisher MDPI AG
series Foods
issn 2304-8158
publishDate 2021-01-01
description 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<sub>2</sub>/temperature instead of conventional time-consuming chemical methods. The influences of elevated CO<sub>2</sub> 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 (<i>R</i><sup>2</sup> = 0.9103, <i>R</i><sup>2</sup> = 0.9580, and <i>R</i><sup>2</sup> = 0.9246, respectively). Subsequently, changes in nutritional components under future environmental conditions that encompass higher CO<sub>2</sub> 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.
topic Fourier transform infrared photoacoustic spectroscopy
climate change
rice quality
principal component analysis
url https://www.mdpi.com/2304-8158/10/1/159
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