Open AccessJournal Article
Near Infrared Reflectance Spectroscopy and Application
Reads0
Chats0
TLDR
In this paper, the development, principle, analysis processes and its application of near infrared reflectance spectroscopy were simply introduced, and the superiority of NIR in modern instrument analyses was proved by their experiment.Abstract:
The development, principle, analysis processes and its application of near infrared reflectance spectroscopy were simply introduced. The superiority of near infrared reflectance spectroscopy in modern instrument analyses was proved by our experiment.read more
Citations
More filters
Journal ArticleDOI
Mapping quantitative trait loci for cottonseed oil, protein and gossypol content in a Gossypium hirsutum × Gossypium barbadense backcross inbred line population
TL;DR: This research represents the first report using a permanent advanced backcross inbred population of an interspecific hybrid population to identify QTLs for seed quality traits in cotton in three environments.
Journal ArticleDOI
Study on the Vigour Testing of Soybean Seed Based on Near Infrared Spectroscopy Technology
TL;DR: In this article, a non-destructive method for discriminating three vigour of soybean seeds was developed by near infrared spectroscopy (NIRS) combined with principal component and Mahalanobis distance model.
Journal ArticleDOI
The Application of Fourier Transform Infrared Photoacoustics Spectroscopy (FTIR-PAS) for Rapid Soil Quality Evaluation
TL;DR: In this paper, Fourier Transform Infrared Photoacoustics Spectroscopy (FTIR-PAS) was applied to predict soil quality properties, and the results showed that C and N can be predicted accurately using FTIR-pAS whilst other parameters (P, K, Mg, Ca, S, S), such as moisture and soil microbes were feasible to be detected by FTIRAS combining with CA.
Proceedings ArticleDOI
Fast Analytical Technology for Coffee Differentiation and Inner Quality Determination Using Fourier Transform Infrared
TL;DR: In this paper, Fourier transform infrared (FTIR) spectroscopy was used for coffee quality evaluation in terms of moisture content and geographical origins differentiation using principal component analysis and partial least square regression (PLSR) respectively.
Proceedings ArticleDOI
Application of near-infrared spectroscopy in the detection of fat-soluble vitamins in premix feed
TL;DR: In this paper, partial least squares regression (PLSR) and support vector machine regression (SVMR) were used to construct the quantitative model of vitamins in premix feed.
References
More filters
Journal ArticleDOI
Mapping quantitative trait loci for cottonseed oil, protein and gossypol content in a Gossypium hirsutum × Gossypium barbadense backcross inbred line population
TL;DR: This research represents the first report using a permanent advanced backcross inbred population of an interspecific hybrid population to identify QTLs for seed quality traits in cotton in three environments.
Journal ArticleDOI
Study on the Vigour Testing of Soybean Seed Based on Near Infrared Spectroscopy Technology
TL;DR: In this article, a non-destructive method for discriminating three vigour of soybean seeds was developed by near infrared spectroscopy (NIRS) combined with principal component and Mahalanobis distance model.
Journal ArticleDOI
The Application of Fourier Transform Infrared Photoacoustics Spectroscopy (FTIR-PAS) for Rapid Soil Quality Evaluation
TL;DR: In this paper, Fourier Transform Infrared Photoacoustics Spectroscopy (FTIR-PAS) was applied to predict soil quality properties, and the results showed that C and N can be predicted accurately using FTIR-pAS whilst other parameters (P, K, Mg, Ca, S, S), such as moisture and soil microbes were feasible to be detected by FTIRAS combining with CA.
Proceedings ArticleDOI
Fast Analytical Technology for Coffee Differentiation and Inner Quality Determination Using Fourier Transform Infrared
TL;DR: In this paper, Fourier transform infrared (FTIR) spectroscopy was used for coffee quality evaluation in terms of moisture content and geographical origins differentiation using principal component analysis and partial least square regression (PLSR) respectively.
Proceedings ArticleDOI
Application of near-infrared spectroscopy in the detection of fat-soluble vitamins in premix feed
TL;DR: In this paper, partial least squares regression (PLSR) and support vector machine regression (SVMR) were used to construct the quantitative model of vitamins in premix feed.