Application of near infrared spectroscopy with chemometrics for qualitative and quantitative dental caries assessment

2020 ◽  
Vol 111 ◽  
pp. 103170
Author(s):  
Patteera Sodata ◽  
Jomjai Peerapattana
2013 ◽  
Vol 634-638 ◽  
pp. 1651-1654
Author(s):  
Peng Qiang Chen ◽  
Hui Shan Lu ◽  
Hong Wei Yan ◽  
Qiang Gao

The present study is concerning qualitative and quantitative detection of different coal samples based on near infrared spectroscopy. Firstly, near infrared spectroscopy combined with discriminant analysis (DA) was used for the coal cinder characteristics in different spectral pre-processing methods, at the same time it will establish the quantitative of the total moisture. The result indicated that 97.78% recognition ratio for calibration and 93.33% recognition ratio for validation were achieved by DA for the cinder characteristics. The PLS quantitative model of the total moisture of the establishment of the original spectral was the best, the correlation coefficients of calibration and prediction respectively were 0.981 and 0.641, RMSEC, RMSEP and RMSECV respectively were 0.859, 2.51 and 3.44.


2022 ◽  
Author(s):  
FangKai Han ◽  
Xingyi Huang ◽  
Joshua Harington Aheto ◽  
Xiaorui Zhang ◽  
Marwan M.A. Rashed

A low-cost electronic nose (E-nose) based on colorimetric sensors fused with near-infrared (NIR) spectroscopy was proposed as a rapid and convenient technique for detecting beef adulterated with duck. The total...


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