Effect of Sample Heterogeneity on near Infrared Meat Analysis: The Use of the RMS Statistic

1998 ◽  
Vol 6 (A) ◽  
pp. A313-A320 ◽  
Author(s):  
M.L. Martínez ◽  
Ana Garrido-Varo ◽  
E. De Pedro ◽  
L. Sánchez

Ground and emulsified samples from Iberian pig hams were analysed by reflectance and interactance reflectance mode. Spectral errors due to intra-sample variations were calculated for both analysis modes. The spectral errors were calculated by means of the STD RMS statistic included on the ISI software. The results obtained show that a mean STD RMS value as low as 4200, could be obtained for paired subsamples of the same sample and that an STD limit of 4374 could be fixed at the instrument set-up program in order to ensure that a representative spectrum has been obtained from two subsamples readings of the same sample. That procedure avoids the need to take numerous subsamples, as is traditional in NIR/NIT meat analysis. The results also show that the spectral repeatability using fiber optic is worse than for spinning cups and it has been concluded that effort should be made to avoid moisture variations during scanning in order to improve spectral repeatability.

1998 ◽  
Vol 6 (A) ◽  
pp. A307-A312 ◽  
Author(s):  
J. García-Olmo ◽  
E. De Pedro ◽  
Ana Garrido-Varo

The present paper reports the results of a methodological work carried out to optimize interactance–reflectance NIR analysis of Iberian pig adipose tissue. The RMS statistic included in ISI software, which computes the agreement between spectra, was used for quantitation of errors due to operational factors (scan location and room light). The results obtained suggest that it would be advisable to take scans from at least two different locations and after setting an STD RMS limit of 45000 μlog (1/ R) at the Scan program. The room light has no effect on the spectra repeatability.


1998 ◽  
Vol 52 (5) ◽  
pp. 717-724 ◽  
Author(s):  
Charity Coffey ◽  
Alex Predoehl ◽  
Dwight S. Walker

The monitoring of the effluent of a rotary dryer has been developed and implemented. The vapor stream between the dryer and the vacuum is monitored in real time by a process fiber-optic coupled near-infrared (NIR) spectrometer. A partial least-squares (PLS) calibration model was developed on the basis of solvents typically used in a chemical pilot plant and uploaded to an acousto-optic tunable filter NIR (AOTF-NIR). The AOTF-NIR is well suited to process monitoring as it electrically scans a crystal and hence has no moving parts. The AOTF-NIR continuously fits the PLS model to the currently collected spectrum. The returned values can be used to follow the drying process and determine when the material can be unloaded from the dryer. The effluent stream was monitored by placing a gas cell in-line with the vapor stream. The gas cell is fiber-optic coupled to a NIR instrument located 20 m away. The results indicate that the percent vapor in the effluent stream can be monitored in real time and thus be used to determine when the product is free of solvent.


2009 ◽  
Vol 103 (1) ◽  
pp. 144-152 ◽  
Author(s):  
A.M. Mouazen ◽  
M.R. Maleki ◽  
L. Cockx ◽  
M. Van Meirvenne ◽  
L.H.J. Van Holm ◽  
...  

1999 ◽  
Author(s):  
Steven C. Switalski ◽  
Todd Colin ◽  
Neil Redden ◽  
Eric Stahlecker ◽  
Vijay Parthasarathy

Talanta ◽  
2021 ◽  
Vol 222 ◽  
pp. 121511
Author(s):  
Dolores Pérez-Marín ◽  
Tom Fearn ◽  
Cecilia Riccioli ◽  
Emiliano De Pedro ◽  
Ana Garrido

2015 ◽  
Author(s):  
Xinyuan Chong ◽  
Ki-Joong Kim ◽  
Paul R. Ohodnicki ◽  
Chih-Hung Chang ◽  
Alan X. Wang

1996 ◽  
Vol 6 (2) ◽  
pp. 69-75 ◽  
Author(s):  
Maryam I. Daneshvar ◽  
Guillermo A. Casay ◽  
Gabor Patonay ◽  
Malgorzata Lipowska ◽  
Lucjan Strekowski ◽  
...  

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