Paper
20 November 2009 Influence and correction of temperature on optical measurement for fat and protein contents in a complex food model system
Xuedian Zhang, Min Chang, Kexin Xu
Author Affiliations +
Abstract
Near infrared spectroscopy has been proposed as an effective way for measuring complex component compositions noninvasively. However temperature-induced spectral variation can cause accuracy problems if not taken care of in a proper manner. The influence of temperature on optical measurements has been studied for determining fat and protein contents in complex food systems. A model system consisting of mixtures of fat, protein, water and emulsion was developed to create an imitation of complex food systems. The changes in optical properties, including the absorbance coefficients and reduced scattering coefficients, of the system from 25°C to 40°C were measured in the wavelength from 1100 to 1670 nm. Complex changes in the absorbance coefficient and decreasing changes in the reduced scattering coefficients with the increasing temperature were founded. The mechanisms of the influences were analyzed. In order to correct the effect, a statistical method was needed. Then, a method called global robust temperature calibration model is proposed. Accordingly, the validating experiments using the samples made up of 54 complex food systems were executed. The experimental results indicated that the method can significantly reduce the temperature effect on optical measurement.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xuedian Zhang, Min Chang, and Kexin Xu "Influence and correction of temperature on optical measurement for fat and protein contents in a complex food model system", Proc. SPIE 7511, 2009 International Conference on Optical Instruments and Technology: Optoelectronic Measurement Technology and Systems, 751127 (20 November 2009); https://doi.org/10.1117/12.841075
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KEYWORDS
Temperature metrology

Systems modeling

Proteins

Calibration

Statistical modeling

Complex systems

Scattering

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