Abstract

The potential of NIR reflectance spectroscopy for discriminating between pure Arabica and pure Robusta coffees and blends of these two was investigated. Studies were performed on whole and ground beans using a factorial discriminant procedure. For whole beans, in the absence of blended samples, a correct classification rate of 96.2% was achieved. Inclusion of blended samples reduced this figure to between 82.9 and 87.6%. In the case of ground samples, including blends, a correct identification rate of 83.02% was achieved. The molecular basis for discrimination is discussed.

© 1994 NIR Publications

Nondestructive inspection of Phaseolus coccineus L. soya beans by use of near-infrared lasers

Osamu Nakamura, Makoto Kobayashi, and Satoshi Kawata
Appl. Opt. 38(12) 2724-2727 (1999)

Resting state connectivity patterns with near-infrared spectroscopy data of the whole head

Sergio L. Novi, Renato B. M. L. Rodrigues, and Rickson C. Mesquita
Biomed. Opt. Express 7(7) 2524-2537 (2016)

Resting state functional connectivity of the whole head with near-infrared spectroscopy

Rickson C. Mesquita, Maria A. Franceschini, and David A. Boas
Biomed. Opt. Express 1(1) 324-336 (2010)

Near-infrared radiance measurements as a ground reflection signature

Frank W. Gallagher and William H. Beasley
Appl. Opt. 41(33) 6931-6936 (2002)

Transcranial photobiomodulation-induced changes in human brain functional connectivity and network metrics mapped by whole-head functional near-infrared spectroscopy in vivo

Elizabeth L. Urquhart, Hashini Wanniarachchi, Xinlong Wang, Francisco Gonzalez-Lima, George Alexandrakis, and Hanli Liu
Biomed. Opt. Express 11(10) 5783-5799 (2020)