scholarly journals Near-infrared spectroscopy and hyperspectral imaging: non-destructive analysis of biological materials

2014 ◽  
Vol 43 (24) ◽  
pp. 8200-8214 ◽  
Author(s):  
Marena Manley
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Biological Materials ◽  
Destructive Analysis ◽  
Non Destructive

Principles, interpretation and applications of near-infrared (NIR) spectroscopy and NIR hyperspectral imaging are reviewed.

Non-destructive analysis of Japanese table grape qualities using near-infrared spectroscopy

2020 ◽  
Vol 61 (4) ◽  
pp. 725-733
Author(s):  
Chaorai Kanchanomai ◽  
Shintaroh Ohashi ◽  
Daruni Naphrom ◽  
Wakana Nemoto ◽  
Phonkrit Maniwara ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Table Grape ◽  
Destructive Analysis ◽  
Non Destructive

Non-destructive analysis ofα-farnesene and conjugated trienols in apples using near-infrared spectroscopy

2016 ◽  
pp. 251-258 ◽  
Author(s):  
D. Eisenstecken ◽  
A. Zanella ◽  
C.W. Huck ◽  
S. Stürz ◽  
P. Robatscher ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Destructive Analysis ◽  
Non Destructive

Non-Destructive Analysis of Ivories by Visible and Short-Wave near Infrared Spectroscopy

NIR news ◽  
2004 ◽  
Vol 15 (6) ◽  
pp. 10-12
Author(s):  
Masahiko Shimoyama ◽  
Susumu Morimoto ◽  
Yukihiro Ozaki
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Short Wave ◽  
Destructive Analysis ◽  
Non Destructive

scholarly journals Non-destructive Analysis of Soluble Sugar Components in Strawberry Fruits Using Near-infrared Spectroscopy

2009 ◽  
Vol 56 (4) ◽  
pp. 229-235 ◽  
Author(s):  
Takashi Nishizawa ◽  
Yuko Mori ◽  
Shinya Fukushima ◽  
Motoyasu Natsuga ◽  
Yasuhiro Maruyama
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Soluble Sugar ◽  
Destructive Analysis ◽  
Non Destructive

Differentiation of Male, Female and Dead Silkworms While in the Cocoon by near Infrared Spectroscopy

1995 ◽  
Vol 3 (2) ◽  
pp. 89-95 ◽  
Author(s):  
Tongming Jin ◽  
Ling Liu ◽  
Xiaowei Tang ◽  
Hang Chen
Keyword(s):  
Infrared Spectroscopy ◽  
Linear Regression ◽  
Success Rate ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Critical Function ◽  
Second Derivatives ◽  
Non Destructive ◽  
Sample Set

The feasibility of using a non-destructive method to differentiate male (M), female (F) and dead (D) worm cocoons of silkworms has been studied with near infrared (NIR) spectroscopy over the region 680–1235 nm on a sample set of 205 fresh cocoons. On the basis of the spectral data of the first and second derivatives, characteristic vectors were extracted by multiple linear regression and a Bayes critical function was established. This function was used to test 375 samples and the success rate was 95.7%. This method of sex judging is thus preferable to the conventional use of the weight and size of a cocoon which achieved a success rate of only 82.9% on the same samples. Experiments showed that the differences between NIR spectra of M and F cocoons mainly result from the property of silkworm cocoons rather than their incunabulum.

Recent advancement in near infrared spectroscopy and hyperspectral imaging techniques for quality and safety assessment of agricultural and food products in the China Agricultural University

NIR news ◽  
2018 ◽  
Vol 29 (8) ◽  
pp. 19-23 ◽  
Author(s):  
Hongzhe Jiang ◽  
Wei Wang ◽  
Xinzhi Ni ◽  
Hong Zhuang ◽  
Seung-Chul Yoon ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Hyperspectral Imaging ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Imaging Techniques ◽  
Food Products ◽  
Optical Methods ◽  
Quality And Safety ◽  
Safety Control ◽  
Non Destructive

Near infrared spectroscopy and hyperspectral imaging are fast-growing, rapid, powerful, and non-destructive optical technologies that can be used especially in quality and safety control of agro-food products. The Non-destructive Detecting Laboratory for Agricultural and Food Products in the College of Engineering, China Agricultural University in Beijing, China, has engaged in research on sensing and characterizing agro-food quality and safety attributes with the latest optical methods including near infrared spectroscopy and hyperspectral imaging for over five years. In this report, some of our latest research and developments through multidisciplinary international collaborations will be highlighted to demonstrate our contributions to this near infrared spectroscopy and hyperspectral imaging sensing area to improve non-destructive diagnosis and quality control of agricultural and food products.

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