scholarly journals Nondestructive Measurement Technique of Fruit Sugar Content with Near-Infrared Lasers

2011 ◽  
Vol 39 (4) ◽  
pp. 233-238 ◽  
Author(s):  
Yoshiaki SHIMOMURA
Keyword(s):  
Measurement Technique ◽  
Near Infrared ◽  
Sugar Content ◽  
Infrared Lasers ◽  
Nondestructive Measurement

Mid and near Infrared Study of Carbohydrates by Canonical Correlation Analysis

1993 ◽  
Vol 1 (2) ◽  
pp. 99-108 ◽  
Author(s):  
P. Robert ◽  
M.F. Devaux ◽  
A. Qannari ◽  
M. Safar
Keyword(s):  
Correlation Analysis ◽  
Infrared Spectra ◽  
Canonical Correlation ◽  
Near Infrared ◽  
Sugar Content ◽  
Infrared Region ◽  
Total Sugar ◽  
Mid Infrared ◽  
Total Sugar Content ◽  
Near Infrared Spectra

Multivariate data treatments were applied to mid and near infrared spectra of glucose, fructose and sucrose solutions in order to specify near infrared frequencies that characterise each carbohydrate. As a first step, the mid and near infrared regions were separately studied by performing Principal Component Analyses. While glucose, fructose and sucrose could be clearly identified on the similarity maps derived from the mid infrared spectra, only the total sugar content of the solutions was observed when using the near infrared region. Characteristic wavelengths of the total sugar content were found at 2118, 2270 and 2324 nm. In a second step, the mid and near infrared regions were jointly studied by a Canonical Correlation Analysis. As the assignments of frequencies are generally well known in the mid infrared region, it should be useful to study the relationships between the two infrared regions. Thus, the canonical patterns obtained from the near infrared spectra revealed wavelengths that characterised each carbohydrate. The OH and CH combination bands were observed at: 2088 and 2332 nm for glucose, 2134 and 2252 nm for fructose, 2058 and 2278 nm for sucrose. Although a precise assignment of the near infrared bands to chemical groups within the molecules was not possible, the present work showed that near infrared spectra of carbohydrates presented specific features.

Temperature Compensation on Sugar Content Prediction of Molasses by Near-Infrared Spectroscopy (NIR)

Sugar Tech ◽  
2018 ◽  
Vol 21 (1) ◽  
pp. 162-169 ◽  
Author(s):  
Pisittinee Chapanya ◽  
Pitiporn Ritthiruangdej ◽  
Rattana Mueangmontri ◽  
Anutin Pattamasuwan ◽  
Wirat Vanichsriratana
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Temperature Compensation ◽  
Near Infrared ◽  
Sugar Content

Characterization of neutral density filters for use in near infrared lasers

2008 ◽  
Author(s):  
Ed Rickers ◽  
Kenneth J. Walter ◽  
Thomas E. Johnson
Keyword(s):  
Near Infrared ◽  
Neutral Density ◽  
Infrared Lasers

Porcine skin visible lesion thresholds for near-infrared lasers including modeling at two pulse durations and spot sizes

2006 ◽  
Vol 11 (4) ◽  
pp. 041109 ◽  
Author(s):  
C. P. Cain ◽  
G. D. Polhamus ◽  
W. P. Roach ◽  
D. J. Stolarski ◽  
K. J. Schuster ◽  
...  
Keyword(s):  
Near Infrared ◽  
Infrared Lasers ◽  
Porcine Skin ◽  
Visible Lesion
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