Optical Sensing Technologies for Nondestructive Quality Assessment in Dry Beans

2021 ◽  
pp. 277-306
Author(s):  
Fernando A. Mendoza ◽  
Jason A. Wiesinger ◽  
Karen A. Cichy
Keyword(s):  
Quality Assessment ◽  
Optical Sensing ◽  
Dry Beans ◽  
Nondestructive Quality

Spectroscopy, Microscopy and Fluorescence Imaging ofOriganum vulgareL. Basis for Nondestructive Quality Assessment

2013 ◽  
Vol 89 (6) ◽  
pp. 1383-1390 ◽  
Author(s):  
Johanna M. Novo ◽  
Analia Iriel ◽  
María Claudia Marchi ◽  
María Gabriela Lagorio
Keyword(s):  
Quality Assessment ◽  
Fluorescence Imaging ◽  
Nondestructive Quality

scholarly journals Quality Determination of Red Radish by Nondestructive Root Color Measurement

2003 ◽  
Vol 128 (3) ◽  
pp. 397-402 ◽  
Author(s):  
Monika Schreiner ◽  
Angelika Krumbein ◽  
Ilona Schonhof ◽  
Stefanie Widell ◽  
Susanne Huyskens-Keil
Keyword(s):  
Quality Assessment ◽  
Raphanus Sativus ◽  
Reliable Indicator ◽  
Color Measurement ◽  
New Approach ◽  
Textural Characteristics ◽  
Hue Angle ◽  
Nondestructive Quality ◽  
Red Radish

A new approach for nondestructive quality assessment based on color measurement was developed for red radishes (Raphanus sativus L.). Postharvest changes in hue angle corresponded with changes in soluble and insoluble pectic substances linked to textural characteristics in `Nevadar' radishes. Changes in glucosinolates were related to changes in chroma and were associated with radish flavor. However, monosaccharides were not related to root color during the 4 days of postharvest period. Nevertheless, the data suggest that root color may be used as a rapid, inexpensive and reliable indicator of quality during the postharvest distribution of radish.

Amalgam marginal quality assessment: a comparison of seven methods

1997 ◽  
Vol 24 (7) ◽  
pp. 496-505 ◽  
Author(s):  
E. S. GROSSMAN ◽  
J. M. MATEJKA
Keyword(s):  
Quality Assessment

Are Psychologists Ready for Quality Assessment?

PsycCRITIQUES ◽  
2006 ◽  
Vol 51 (14) ◽  
Author(s):  
Howard N. Garb
Keyword(s):  
Quality Assessment
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