Rapid, simultaneous, and in situ authentication and quality assessment of intact bell peppers using near-infrared spectroscopy technology

2018 ◽  
Vol 99 (4) ◽  
pp. 1613-1622 ◽  
Author(s):  
María-Teresa Sánchez ◽  
Irina Torres ◽  
María-José de la Haba ◽  
Ana Chamorro ◽  
Ana Garrido-Varo ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Quality Assessment ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Bell Peppers

Prediction of crude protein and neutral detergent fibre concentration in residues of in situ ruminal degradation of pasture samples by near-infrared spectroscopy (NIRS)

2016 ◽  
Vol 56 (9) ◽  
pp. 1504 ◽  
Author(s):  
J. P. Keim ◽  
H. Charles ◽  
D. Alomar
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Crude Protein ◽  
Near Infrared ◽  
External Validation ◽  
Neutral Detergent Fibre ◽  
Insufficient Amount ◽  
Ruminal Degradation ◽  
Animal Feedstuffs

An important constraint of in situ degradability studies is the need to analyse a high number of samples and often with insufficient amount of residue, especially after the longer incubations of high-quality forages, that impede the study of more than one nutritional component. Near-infrared spectroscopy (NIRS) has been established as a reliable method for predicting composition of many entities, including forages and other animal feedstuffs. The objective of this work was to evaluate the potential of NIRS for predicting the crude protein (CP) and neutral detergent fibre (NDF) concentration in rumen incubation residues of permanent and sown temperate pastures in a vegetative stage. In situ residues (n = 236) from four swards were scanned for their visible-NIR spectra and analysed for CP and NDF. Selected equations developed by partial least-squares multivariate regression presented high coefficients of determination (CP = 0.99, NDF = 0.95) and low standard errors (CP = 4.17 g/kg, NDF = 7.91 g/kg) in cross-validation. These errors compare favourably to the average concentrations of CP and NDF (146.5 and 711.2 g/kg, respectively) and represent a low fraction of their standard deviation (CP = 38.2 g/kg, NDF = 34.4 g/kg). An external validation was not as successful, with R2 of 0.83 and 0.82 and a standard error of prediction of 14.8 and 15.2 g/kg, for CP and NDF, respectively. It is concluded that NIRS has the potential to predict CP and NDF of in situ incubation residues of leafy pastures typical of humid temperate zones, but more robust calibrations should be developed.

In situ quantification of microcarrier animal cell cultures using near-infrared spectroscopy

2010 ◽  
Vol 45 (8) ◽  
pp. 1427-1431 ◽  
Author(s):  
Emma Petiot ◽  
Patrick Bernard-Moulin ◽  
Thierry Magadoux ◽  
Cécile Gény ◽  
Hervé Pinton ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Cell Cultures ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Animal Cell ◽  
Animal Cell Cultures

Use of Near-Infrared Spectroscopy for Coffee Beans Quality Assessment

2015 ◽  
pp. 933-942 ◽  
Author(s):  
Ricardo N.M.J. Páscoa ◽  
Mafalda C. Sarraguça ◽  
Luis M. Magalhães ◽  
João R. Santos ◽  
António O.S.S. Rangel ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Quality Assessment ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Coffee Beans

scholarly journals Probabilistic classification models for the in situ authentication of iberian pig carcasses using near infrared spectroscopy

Talanta ◽  
2021 ◽  
Vol 222 ◽  
pp. 121511
Author(s):  
Dolores Pérez-Marín ◽  
Tom Fearn ◽  
Cecilia Riccioli ◽  
Emiliano De Pedro ◽  
Ana Garrido
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Classification Models ◽  
Probabilistic Classification ◽  
Iberian Pig ◽  
Pig Carcasses
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