New measurement technique that uses three near infrared diode lasers for nondestructive evaluation of sugar content in fruits

2005 ◽  
Author(s):  
Yoshiaki Shimomura ◽  
Toshitaka Takami ◽  
Yoshiki Ichimaru ◽  
Kenichi Matsuo ◽  
Ryuji Hyodo
Keyword(s):  
Nondestructive Evaluation ◽  
Measurement Technique ◽  
Near Infrared ◽  
Diode Lasers ◽  
Sugar Content

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

Detection of Sugar Content of Pomegranates from Different Producing Areas Based on Near-Infrared Spectroscopy

2020 ◽  
Vol 57 (1) ◽  
pp. 013002
Author(s):  
刘燕德 Liu Yande ◽  
张雨 Zhang Yu ◽  
徐海 Xu Hai ◽  
姜小刚 Jiang Xiaogang ◽  
王军政 Wang Junzheng
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Sugar Content

Visible and near-infrared emission images of (In,Ga,Al)N-based 450nm emitting-diode lasers

2019 ◽  
Author(s):  
Jens W. Tomm ◽  
Robert Kernke ◽  
Muhammad Ali ◽  
Bernhard Stojetz ◽  
Alfred Lell ◽  
...  
Keyword(s):  
Near Infrared ◽  
Diode Lasers ◽  
Infrared Emission ◽  
Near Infrared Emission
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