Utilising near-infrared hyperspectral imaging to detect low-level peanut powder contamination of whole wheat flour

2019 ◽  
Vol 184 ◽  
pp. 55-68 ◽  
Author(s):  
Xin Zhao ◽  
Wei Wang ◽  
Xinzhi Ni ◽  
Xuan Chu ◽  
Yu-Feng Li ◽  
...  
2018 ◽  
Vol 8 (7) ◽  
pp. 1076 ◽  
Author(s):  
Xin Zhao ◽  
Wei Wang ◽  
Xinzhi Ni ◽  
Xuan Chu ◽  
Yu-Feng Li ◽  
...  

2002 ◽  
Vol 10 (1) ◽  
pp. 71-76 ◽  
Author(s):  
M. Manley ◽  
L. Van Zyl ◽  
B.G. Osborne

Fourier transform near infrared (FT-NIR) spectroscopy was used successfully to determine the kernel hardness, protein and moisture content of a single sample set of whole wheat flour. The hardness calibration was derived by performing partial least square (PLS) regression on baseline corrected data and using the particle size index (PSI) test as reference method. Both the protein and moisture calibrations were derived by performing PLS regression on multiplicative scatter corrected (MSC) and baseline corrected data. In all cases, the calibration models were subsequently tested by means of independent validation procedures. Good calibration and prediction results were obtained for all three characteristics. Standard error of prediction ( SEP), root mean standard error of prediction ( RMSEP) and correlation coefficient ( r) values of 2.13%, 4.53% and 0.42, respectively, were obtained for the hardness calibration. Corresponding results for the protein and moisture calibrations were 0.51%, 1.16%, 0.81 and 0.15%, 0.38% and 0.85, respectively. The FT-NIR protein and moisture results of this study compare satisfactorily with results achieved in previous FT-NIR studies. No other FT-NIR wheat hardness results have been reported elsewhere, but results of this study compare well to those achieved in other NIR wheat hardness studies.


2017 ◽  
Vol 23 (3) ◽  
pp. 403-410 ◽  
Author(s):  
Koki Matsushita ◽  
Dennis Marvin Santiago ◽  
Tatsuya Noda ◽  
Kazumasa Tsuboi ◽  
Sakura Kawakami ◽  
...  

1992 ◽  
Vol 55 (2) ◽  
pp. 452-454 ◽  
Author(s):  
C M Weaver ◽  
R P Heaney ◽  
B R Martin ◽  
M L Fitzsimmons

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