000			01881nam a2200301Ia 4500
003			MX-MdCICY
005			20250625162418.0
040			_cCICY
090			_aB-18731
245	1	0	_aMulti-wavelength high-performance liquid chromatographic fingerprints and chemometrics to predict the antioxidant activity of Turnera diffusa as part of its quality control
490	0		_vJournal of Chromatography A, 23(7), p.10275-10287, 2021
520	3		_aThe determination of the antioxidant activity of Turnera diffusa using partial least squares regression (PLSR)on chromatographic data is presented. The chromatograms were recorded with a diode array detector and, for each sample, an enhanced fingerprint was constructed by compiling into a single data vector the chromatograms at four wavelengths (216, 238, 254 and 345 nm). The wavelengths were selected from a contour plot, in order to obtain the greater number of peaks at each of the wavelengths. A further pretreatment of the data that included baseline correction, scaling and correlation timized warping was performed. Optimal values of the parameters used in the warping were found by means of simplex optimization. A PLSR model with four latent variables (LV)explained 52.5
650	1	4	_aTURNERA DIFFUSA
650	1	4	_aHPLC-FINGERPRINTS
650	1	4	_aMULTI-WAVELENGTH
650	1	4	_aANTIOXIDANT ACTIVITY
650	1	4	_aCHEMOMETRICS
700	1	2	_aLucio-Gutiérrez, J. Ricardo
700	1	2	_aGarza-Juárez, Aurora
700	1	2	_aCoello, J.
700	1	2	_aMaspocha, S.
700	1	2	_aSalazar-Cavazos, M.L.
700	1	2	_aSalazar-Aranda, Ricardo
700	1	2	_aWaksman De Torres, Noemi
856	4	0	_uhttps://drive.google.com/file/d/1yOCMBjyFzQSIgTYe4UI4fMd_QDJspwa8/view?usp=drivesdk _zPara ver el documento ingresa a Google con tu cuenta: @cicy.edu.mx
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