000			02073nab a22004817a 4500
001			G97173
003			MX-TxCIM
005			20171220113557.0
008			121211b |||p||p||||||| |z||| |
024	8		_ahttps://doi.org/10.1021/jf030555o
040			_aMX-TxCIM
041	0		_aEn
100	1		_aFontaine, J.
245	0	0	_aAmino acid contents in raw materials can be precisely analyzed in a global network of near-infrared spectrometers: _b collaborative trials prove the positive effects of instrument standardization and repeatability files
260			_c2004
500			_aPeer-review: Yes - Open Access: Yes|http://science.thomsonreuters.com/cgi-bin/jrnlst/jlresults.cgi?PC=MASTER&ISSN=0021-8561
520			_aFour international ring trials for NIRS amino acid analysis of feed raw materials have demonstrated for the first time that the calibrations developed by Degussa allow reliable and precise predictions of essential amino acids in up to 44 NIR spectrometers. Different standardization techniques were compared, and the effectiveness of using spectra of the host instruments as repeatability files was studied. The ultimately achieved reproducibility of 2-3% CV for almost all analyses in the network is considerably better than ring trial results for wet chemical amino acid analysis.
546			_aEnglish
593			_aCarelia Juarez
595			_aRPC
650	1	0	_aAmino acids
650	1	0	_aCheck cell
650	1	0	_aCollaborative trial
650	1	0	_aCrude protein
650	1	0	_aCystine
650	1	0	_aHost NIRS
650	1	0	_aLysine
650	1	0	_aMaster NIRS
650	1	0	_aMethionine
650	1	0	_aNIRS calibration
650	1	0	_aPrecision
650	1	0	_aRepeatability file
650	1	0	_aReproducibility
650	1	0	_aRing test
650	1	0	_aStandardization of NIR spectrometer
650	1	0	_aThreonine
650	1	0	_aTryptophan _91300
650	1	0	_aWinISI
700	1		_aHorr, J., _ecoaut.
700	1		_aSchirmer, B., _ecoaut.
773	0		_tJournal of Agricultural and Food Chemistry _gv. 52, no. 4, p. 701-708
942			_cJA
999			_c29510 _d29510