Near Infrared Spectroscopy of Dry Extracts from High Moisture Food Products on Solid Support—A Review

1997 ◽  
Vol 5 (4) ◽  
pp. 179-193 ◽  
Author(s):  
Kari Thyholt ◽  
Tomas Isaksson

This review article discusses studies published on diffuse near infrared spectroscopy of dry extracts from high moisture foods on solid support. The method can be used for rapid quantification and classification of low concentration nutrient components in aqueous samples. The volume most frequently used for measurement has been 0.5 ± 0.1 mL. The present paper aims to give a full review of journal papers and a selection of other reports, covering the method and applications on mixed model solutions, fruit juices and other beverages and on meat juices.

2015 ◽  
Vol 8 (12) ◽  
pp. 2383-2391 ◽  
Author(s):  
Ellen Neyrinck ◽  
Stefaan De Smet ◽  
Liesbeth Vermeulen ◽  
Danny Telleir ◽  
Stefaan Lescouhier ◽  
...  

2007 ◽  
Vol 55 (22) ◽  
pp. 9128-9134 ◽  
Author(s):  
Tony Woodcock ◽  
Gerard Downey ◽  
J. Daniel Kelly ◽  
Colm O’Donnell

2018 ◽  
Vol 112 ◽  
pp. 85-92 ◽  
Author(s):  
Lívia Ribeiro Costa ◽  
Paulo Fernando Trugilho ◽  
Paulo Ricardo Gherardi Hein

Sensors ◽  
2020 ◽  
Vol 20 (8) ◽  
pp. 2362 ◽  
Author(s):  
Alexander E. Hramov ◽  
Vadim Grubov ◽  
Artem Badarin ◽  
Vladimir A. Maksimenko ◽  
Alexander N. Pisarchik

Sensor-level human brain activity is studied during real and imaginary motor execution using functional near-infrared spectroscopy (fNIRS). Blood oxygenation and deoxygenation spatial dynamics exhibit pronounced hemispheric lateralization when performing motor tasks with the left and right hands. This fact allowed us to reveal biomarkers of hemodynamical response of the motor cortex on the motor execution, and use them for designing a sensing method for classification of the type of movement. The recognition accuracy of real movements is close to 100%, while the classification accuracy of imaginary movements is lower but quite high (at the level of 90%). The advantage of the proposed method is its ability to classify real and imaginary movements with sufficiently high efficiency without the need for recalculating parameters. The proposed system can serve as a sensor of motor activity to be used for neurorehabilitation after severe brain injuries, including traumas and strokes.


2017 ◽  
Vol 10 (2) ◽  
pp. 506-514 ◽  
Author(s):  
A Sandak ◽  
J Sandak ◽  
B Waliszewska ◽  
M Zborowska ◽  
M Mleczek

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