scholarly journals The Application of Near Infrared Spectroscopy for the Assessment of Avocado Quality Attributes

10.5772/35644 ◽  
2012 ◽  
Author(s):  
Brett B. ◽  
Carole Wright ◽  
Steve Grauf ◽  
Ron D.
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes

scholarly journals Quality-by-Design III: Application of Near-Infrared Spectroscopy to Monitor Roller Compaction In-process and Product Quality Attributes of Immediate Release Tablets

2014 ◽  
Vol 16 (1) ◽  
pp. 202-216 ◽  
Author(s):  
Ravikanth Kona ◽  
Raafat M. Fahmy ◽  
Gregg Claycamp ◽  
James E. Polli ◽  
Marilyn Martinez ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Product Quality ◽  
Near Infrared Spectroscopy ◽  
Quality By Design ◽  
Near Infrared ◽  
Immediate Release ◽  
Quality Attributes ◽  
Roller Compaction

scholarly journals Prediction of water content and soluble solids content of ‘manalagi’ apples using near infrared spectroscopy

2021 ◽  
Vol 922 (1) ◽  
pp. 012062
Author(s):  
K Kusumiyati ◽  
Y Hadiwijaya ◽  
D Suhandy ◽  
A A Munawar
Keyword(s):  
Infrared Spectroscopy ◽  
Water Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes ◽  
Soluble Solids ◽  
Coefficient Of Determination ◽  
Soluble Solids Content ◽  
Orthogonal Signal Correction ◽  
Solids Content

Abstract The purpose of the research was to predict quality attributes of ‘manalagi’ apples using near infrared spectroscopy (NIRS). The desired quality attributes were water content and soluble solids content. Spectra data collection was performed at wavelength of 702 to 1065 nm using a Nirvana AG410 spectrometer. The original spectra were enhanced using orthogonal signal correction (OSC). The regression approaches used in the study were partial least squares regression (PLSR) and principal component regression (PCR). The results showed that water content prediction acquired coefficient of determination in calibration set (R2cal) of 0.81, coefficient of determination in prediction set (R2pred) of 0.61, root mean squares error of calibration set (RMSEC) of 0.009, root mean squares of prediction set (RMSEP) of 0.020, and ratio performance to deviation (RPD) of 1.62, while soluble solids content prediction displayed R2cal, R2pred, RMSEC, RMSEP, and RPD of 0.79, 0.85, 0.474, 0.420, and 2.69, respectively. These findings indicated that near infrared spectroscopy could be used as an alternative technique to predict water content and soluble solids content of ‘manalagi’ apples.

Prediction of chicken quality attributes by near infrared spectroscopy

2015 ◽  
Vol 168 ◽  
pp. 554-560 ◽  
Author(s):  
Douglas Fernandes Barbin ◽  
Cintia Midori Kaminishikawahara ◽  
Adriana Lourenco Soares ◽  
Ivone Yurika Mizubuti ◽  
Moises Grespan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes

scholarly journals Determination of tomato quality attributes using near infrared spectroscopy and reference analysis

2016 ◽  
Vol 103 (1) ◽  
pp. 443-448 ◽  
Author(s):  
Audrius Radzevičius ◽  
Jonas Viškelis ◽  
Rasa Karklelienė ◽  
Danguolė Juškevičienė ◽  
Pranas Viškelis
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes ◽  
Reference Analysis ◽  
Tomato Quality

Rapid and non-destructive prediction of mango quality attributes using Fourier transform near infrared spectroscopy and chemometrics

2016 ◽  
Vol 9 (3) ◽  
pp. 208-215 ◽  
Author(s):  
Agus Arip Munawar ◽  
Dieter von Hörsten ◽  
Jens Karl Wegener ◽  
Elke Pawelzik ◽  
Daniel Mörlein
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Quality Attributes ◽  
Non Destructive
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