Lianlian Wei1,2, Fei Ma1, Changwen Du1,2. 1. The State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China. 2. College of Advanced Agricultural Sciences, University of Chinese Academy of Sciences, Beijing 100049, China.
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 CO2/temperature instead of conventional time-consuming chemical methods. The influences of elevated CO2 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 (R 2 = 0.9103, R 2 = 0.9580, and R 2 = 0.9246, respectively). Subsequently, changes in nutritional components under future environmental conditions that encompass higher CO2 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.
Fourier transform infrared photoacoustic spectroscopy (FTIR-PAS), versus attenuated total reflectance spn>ectroscopn>y (FTIR-ATR) and diffuse reflectance spn>ectroscopn>y (DRIFT), was firstly applied in quick assessment of n>an class="Species">rice quality in response to rising CO2/temperature instead of conventional time-consuming chemical methods. The influences of elevated CO2 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 (R 2 = 0.9103, R 2 = 0.9580, and R 2 = 0.9246, respectively). Subsequently, changes in nutritional components under future environmental conditions that encompass higher CO2 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.
Authors: Chunwu Zhu; Kazuhiko Kobayashi; Irakli Loladze; Jianguo Zhu; Qian Jiang; Xi Xu; Gang Liu; Saman Seneweera; Kristie L Ebi; Adam Drewnowski; Naomi K Fukagawa; Lewis H Ziska Journal: Sci Adv Date: 2018-05-23 Impact factor: 14.136