Related Experiment Video
Updated: Jan 29, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Application of Multivariate Statistical Analysis to Simultaneous Spectrophotometric Enzymatic Determination of
Jessica Torres-Gamez1, Jose A Rodriguez1, M Elena Paez-Hernandez1
1Universidad Autonoma del Estado de Hidalgo, Area Academica de Quimica, Carr. Pachuca-Tulancingo Km. 4.5, 42184 Mineral de la Reforma, HGO, Mexico.
Abstract:
A method using UV-Vis spectroscopy and multivariate tools for simultaneous determination of glucose and cholesterol was developed in this paper. The method is based on the development of the reaction between the analytes (cholesterol and glucose) and enzymatic reagents. The spectra were analyzed by partial least squares regression and artificial neural networks. The precision estimated between nominal and calculate concentration demonstrate that artificial neural network model was adequate to quantify both analytes in serum samples, since the % relative error obtained was in the interval from 5.1 to 8.3. The proposed model was applied to analyze blood serum samples, and the results are similar compared to those obtained employing the reference method.
Related Concept Videos
Statistical Analysis: Overview
One of the most commonly used statistical quantifiers is the mean, which is the ratio between the sum of the numerical values of all results and the...
Statistical Analysis System (SAS)
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Statistical Significance
Noncompartmental Analysis: Statistical Moment Theory
Statistical Software for Data Analysis and Clinical Trials
Cholesterol: Significance and Regulation
Considering cholesterol and...

