Open AccessDigital Images and Multivariate Calibration in the Determination of Rheological and Quality Parameters of Wheat Flour
Author(s) -
Letícia Maria de Souza Cordeiro,
Patrícia Valderrama
Publication year - 2021
Publication title -
brjac brazilian journal of analytical chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.131
H-Index - 6
eISSN - 2179-3433
pISSN - 2179-3425
DOI - 10.30744/brjac.2179-3425.ar-09-2021
Subject(s) - partial least squares regression , multivariate statistics , calibration , mathematics , statistics , linearity , wheat flour , sensitivity (control systems) , artificial intelligence , computer science , engineering , chemistry , food science , electrical engineering , electronic engineering
In this work, the quality and rheological parameters such as moisture, ash, color, falling number, gluten, and alveographic indexes (W, P/L, and I/E) were determined in wheat flour samples provided from the industrial process through digital images and multivariate calibration, based on partial least squares (PLS) regression. The models were validated by the evaluation of the figures of merit such as accuracy, the inverse of analytical sensitivity, adjust, linearity, relative prediction deviation, limits of detection, and quantification, indicating that the proposal is feasible and can be used in the industrial routine analysis as an alternative to the methods highly dependent on the analyst perception, and extremally time-consuming.