Application of mid-infrared spectroscopy and PLS-Kernel calibration for quick detection of pork in higher value meat mixes
Autor: | Abdel Aziz Alshathri, Mahmoud Abu-Ghoush, Anas Y. Al-Reyahi, Ayman A. Issa, Yahya S. Al-Degs, Murad A. Al-Holy, Ismail I. Fasfous |
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Rok vydání: | 2016 |
Předmět: |
Physics
Kernel (set theory) General Chemical Engineering 010401 analytical chemistry Value (computer science) Food surveillance 04 agricultural and veterinary sciences 040401 food science 01 natural sciences Mid infrared spectroscopy Industrial and Manufacturing Engineering 0104 chemical sciences Combinatorics 0404 agricultural biotechnology Food science Safety Risk Reliability and Quality Spectral data Food Science |
Zdroj: | Journal of Food Measurement and Characterization. 11:337-346 |
ISSN: | 2193-4134 2193-4126 |
DOI: | 10.1007/s11694-016-9402-4 |
Popis: | Analytical methods for meat-species identification and detection of adulteration are always needed for quality control and the safety of consumers. A novel application of PLS-Kernel with MIR for quick detection of pork in beef mixes down to 1.4 wt% is outlined. PLS-Kernel algorithm showed an excellent performance for handling many variables spectral data, which makes it suitable for food analysis by IR. Raw spectral data indicated a nonlinear relationship between pork level and IR band intensities of proteins and fats in the mixes. The ratios $${{\text{A}}_{\text{1654}\ \text{c}{{\text{m}}^{-1}}}}\ \left( \text{amid-I} \right)/{{\text{A}}_{\text{1745}\ \text{c}{{\text{m}}^{-1}}}}$$ (C=O band of ester), $${{\text{A}}_{\text{154}0\ \text{c}{{\text{m}}^{-1}}}}\ \left( \text{amid-II} \right)/{{\text{A}}_{\text{1745}\ \text{c}{{\text{m}}^{-1}}}}$$ , and $$\left( {{\text{A}}_{\text{1395}\ \text{c}{{\text{m}}^{-1}}}}\,+\,{{\text{A}}_{\text{145}0\ \text{c}{{\text{m}}^{-1}}}} \right)/{{\text{A}}_{\text{1175}\ \text{c}{{\text{m}}^{-1}}}}$$ were correlated with pork level to establish a useful analytical signal for detection purposes. Chemometric analysis was carried out on 900–1900 cm−1 as an informative spectral range for protein. PLS-Kernel model is recommended over PCR and PLS for handling many variables in IR data due to the lower computation cycles and less-memory storage. The proposed method would replace advanced techniques for quick pork detection in minced meat mixes. |
Databáze: | OpenAIRE |
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