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2008•JOURNAL OF INFRARED AND MILLIMETER WAVESOpen access

NON-DESTRUCTIVE MEASUREMENT OF SURFACE COLOR OF PEAR BY VISIBLE/NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA

Yan Liu

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Abstract

Visible/near-infrared (VIS/NIR) diffuse reflectance spectra were applied to non-destructive measurement of surface color of pear. In the wavelength range of 350~1800nm, multi-linear regression (MLR), principal component regression (PCR) and partial least squares regression (PLSR), combining with the original absorbance spectra(log(1/R)) and its standardized spectra (1/SD), were used to quantitatively analyze surface color of pear. The prediction results for root mean standard error of prediction(RMSEP) and relative standard deviation RSD% of 24 unknown samples, are 1.4251 and 3.7404% for L*, 0.4569 and 3.3571% for a*, 0.9497 and 2.5877% for b*, based on calibration model with PLSR by using log(1/R). The experiment results show that non-destructive measurement of surface color of pear by using VIS/NIR spectroscopy technique is feasible.

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What this paper is about

Visible/near-infrared (VIS/NIR) diffuse reflectance spectra were applied to non-destructive measurement of surface color of pear. In the wavelength range of 350~1800nm, multi-linear regression (MLR), principal component regression (PCR) and partial least squares regression (PLSR), combining with the original absorbance spectra(log(1/R)) and its standardized spectra (1/SD), were used to quantitatively analyze surface color of pear. The prediction results for root mean standard error of prediction(RMSEP) and relative standard deviation RSD% of 24 unknown samples, are 1.4251 and 3.7404% for L*, 0.4569 and 3.3571% for a*, 0.9497 and 2.5877% for b*, based on calibration model with PLSR by using log(1/R). The experiment results show that non-destructive measurement of surface color of pear by using VIS/NIR spectroscopy technique is feasible.

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Available abstract

Visible/near-infrared (VIS/NIR) diffuse reflectance spectra were applied to non-destructive measurement of surface color of pear. In the wavelength range of 350~1800nm, multi-linear regression (MLR), principal component regression (PCR) and partial least squares regression (PLSR), combining with the original absorbance spectra(log(1/R)) and its standardized spectra (1/SD), were used to quantitatively analyze surface color of pear. The prediction results for root mean standard error of prediction(RMSEP) and relative standard deviation RSD% of 24 unknown samples, are 1.4251 and 3.7404% for L*, 0.4569 and 3.3571% for a*, 0.9497 and 2.5877% for b*, based on calibration model with PLSR by using log(1/R). The experiment results show that non-destructive measurement of surface color of pear by using VIS/NIR spectroscopy technique is feasible.

Key concepts: Partial least squares regression, PEAR, Near-infrared spectroscopy, Diffuse reflectance infrared fourier transform, Calibration, Principal component regression, Analytical Chemistry (journal), Absorbance

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NON-DESTRUCTIVE MEASUREMENT OF SURFACE COLOR OF PEAR BY VISIBLE/NEAR-INFRARED DIFFUSE REFLECTANCE SPECTRA — Research Paper | ScholarLens