Monitoring the freshness of pork during storage via near-infrared spectroscopy based on colorimetric sensor array coupled with efficient multivariable calibration
نویسندگان
چکیده
The quality of pork meat is vital since it one the most essential sources proteins and other nutrients. Near-infrared spectroscopy via colorimetric sensor array (NIRS-CSA) technology as a novel approach combined with multivariate calibrations was proposed to quantitatively evaluate total volatile basic nitrogen (TVB-N) an indicator freshness in pork. Using nine chemoselective dyes, CSA initially fabricated. synergy interval-partial least squares (Si-PLS) applied select optimum variable intervals. Thereafter, different selection algorithms were executed, evaluated compared. By utilizing 61 variables (7.73% Si-PLS variables), interval- competitive adaptive reweighted sampling-partial (Si-CARS-PLS) model yielded preeminent performance Rp = 0.9850, RMSEP 0.7148, RPD 6.00. Therefore, this study discovered that combining NIRS-CSA Si-CARS-PLS efficient algorithm could be employed fast cheap strategy for assessing during storage. • fabricated using chemically sensitive dyes. TVB-N satisfactorily measured predicted by NIRS-CSA. based PLS improved modeling performances. prediction.
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ژورنال
عنوان ژورنال: Journal of Food Composition and Analysis
سال: 2022
ISSN: ['0889-1575', '1096-0481']
DOI: https://doi.org/10.1016/j.jfca.2022.104726