The quantitative detection of botanical impurities contained in seed cotton with near infrared spectroscopy method

2019 ◽  
Author(s):  
Wanhuai Zhou ◽  
Hao Li ◽  
Shoudong Xv ◽  
Houjun Liang ◽  
Congjiu Liu ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Spectroscopy Method ◽  
Quantitative Detection ◽  
Seed Cotton

scholarly journals Application of Near-Infrared Spectroscopy to Quantitatively Determine Relative Content of Puccnia striiformis f. sp. tritici DNA in Wheat Leaves in Incubation Period

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Yaqiong Zhao ◽  
Yilin Gu ◽  
Feng Qin ◽  
Xiaolong Li ◽  
Zhanhong Ma ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Incubation Period ◽  
Stripe Rust ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Puccinia Striiformis ◽  
Quantitative Detection ◽  
Support Vector ◽  
Infected Leaf ◽  
Wheat Leaves

Stripe rust caused by Puccinia striiformis f. sp. tritici (Pst) is a devastating wheat disease worldwide. Potential application of near-infrared spectroscopy (NIRS) in detection of pathogen amounts in latently Pst-infected wheat leaves was investigated for disease prediction and control. A total of 300 near-infrared spectra were acquired from the Pst-infected leaf samples in an incubation period, and relative contents of Pst DNA in the samples were obtained using duplex TaqMan real-time PCR arrays. Determination models of the relative contents of Pst DNA in the samples were built using quantitative partial least squares (QPLS), support vector regression (SVR), and a method integrated with QPLS and SVR. The results showed that the kQPLS-SVR model built with a ratio of training set to testing set equal to 3 : 1 based on the original spectra, when the number of the randomly selected wavelength points was 700, the number of principal components was 8, and the number of the built QPLS models was 5, was the best. The results indicated that quantitative detection of Pst DNA in leaves in the incubation period could be implemented using NIRS. A novel method for determination of latent infection levels of Pst and early detection of stripe rust was provided.

Fast quantitative detection of black pepper and cumin adulterations by near-infrared spectroscopy and multivariate modeling

Food Control ◽  
2020 ◽  
Vol 107 ◽  
pp. 106802 ◽  
Author(s):  
Amanda Beatriz Sales de Lima ◽  
Acsa Santos Batista ◽  
Josane Cardim de Jesus ◽  
Jaqueline de Jesus Silva ◽  
Antônia Cardoso Mendes de Araújo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Black Pepper ◽  
Quantitative Detection ◽  
Multivariate Modeling

Prefrontal cerebral activity during a simple “rock, paper, scissors” task measured by the noninvasive near-infrared spectroscopy method

2007 ◽  
Vol 156 (3) ◽  
pp. 199-208 ◽  
Author(s):  
Senichiro Kikuchi ◽  
Kazuhiko Iwata ◽  
Yasunori Onishi ◽  
Fumio Kubota ◽  
Koichi Nisijima ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Spectroscopy Method ◽  
Cerebral Activity
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