Meat Classification and Freshness Determination Using Near Infrared Spectroscopy
Date Issued
2010
Date
2010
Author(s)
Chou, Chen-Huang
Abstract
A dual-beam Bran-Lubbe InfraAlyzer 500 spectrophotometer was used to measure the absorbance of distilled water filtrate of 120 ground pork tenderloin samples at wavelength 600-1368 nm region, and to construct three fresh prediction models of pH values, volatile basic nitrogen (VBN) values and aerobic plate counts (APC) during 5 days storage at 7oC. The correlation coefficient of the measured and the predicted VBN values based on the partial least square regression (PLSR) model was 0.83. Using 200 ground tenderloin samples for validation, the average accuracy was 90.5%. The absorbance of 15 selected wavelengths from sample extracts of 45 black-hair hogs, 30 white-hair hogs and 30 beefs in the range of 652-668 nm and 804-836 nm (with 4 nm interval) and 1320 nm, the developed principal component analysis (PCA) calibration model was used to validate samples of 25 black-hair hogs, 15 white-hair hogs and 15 beefs, and had 83.6% classification rate at 5% significance level. From 400 to 2200 nm with 2 nm interval, an extension fiber optic probe of FOSS NIRSystem 6500 was used to measure the absorbance of chicken thighs at 5 cm from the end of Tibia bone. The measured data were used to establish 9 calibration models by PLSR of Unscrambler software with dummy regression techniques under different wavelength ranges and criteria with different variables. Using the established models for distinguishing the local chilled storage from the imported frozen-then-thaw chicken thighs, the average discrimination rate varied from 76.7% to 93.3%.
Subjects
Visible/Near-infrared spectrophotometer
Extracts
Freshness
Classification
Type
thesis
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