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Confocal Raman microspectroscopy combined with spectral screening algorithms for quantitative analysis of starch in rice
Xiao Wei
, Fang Li
, Anand Babu Perumal
, Alireza Sanaeifar
, Mahamed Lamine Guindo
, Yongqiang Shi
, Yong He
, Fei Liu
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
Overview
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Dive into the research topics of 'Confocal Raman microspectroscopy combined with spectral screening algorithms for quantitative analysis of starch in rice'. Together they form a unique fingerprint.
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Keyphrases
Rice
100%
Screening Algorithm
100%
Starch
100%
Confocal Raman Microscopy
100%
Least Squares Support Vector Regression (LSSVR)
50%
Detection Model
50%
Prediction Sets
50%
Grey Wolf Optimizer
33%
Swift
16%
Main Components
16%
Raman Spectra
16%
Starch Content
16%
Back-propagation Artificial Neural Network (BP-ANN)
16%
Root Mean Square Error
16%
Quantitative Detection
16%
Partial Least Squares Regression
16%
Precise Detection
16%
Particle Swarm Optimization
16%
Mean Relative Error
16%
Quantification Detection
16%
Chemical Engineering
Support Vector Machine
100%
Neural Network
33%
Food Science
Starch
100%
Starch Content
16%