Analysis of secondary biochemical components in maize flour samples by NIR (near infrared reflectance) spectroscopy
| Autor: | Fatih Kahriman, Fatih Öner, İskender Onaç, Cem Ömer Egesel, Figen Mert |
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| Rok vydání: | 2020 |
| Předmět: |
Phytic acid
Chromatography General Chemical Engineering 010401 analytical chemistry Near-infrared spectroscopy Tryptophan 04 agricultural and veterinary sciences 040401 food science 01 natural sciences Industrial and Manufacturing Engineering 0104 chemical sciences chemistry.chemical_compound 0404 agricultural biotechnology chemistry Amylose Amylopectin Calibration Near infrared reflectance spectroscopy Safety Risk Reliability and Quality Spectroscopy Food Science |
| Zdroj: | Journal of Food Measurement and Characterization. 14:2320-2332 |
| ISSN: | 2193-4134 2193-4126 |
| DOI: | 10.1007/s11694-020-00479-0 |
| Popis: | This study was carried out to determine whether it is possible to detect secondary biochemical components in maize flour samples by near infrared reflectance (NIR) spectroscopy. Two hundred fifty maize samples were used as the material. Calibration models were developed for six different secondary biochemical components, namely amylose, amylopectin, lysine, tryptophan, zein, and phytic acid. The robustness of the calibration models (n = 200) was tested by external validation (n = 50). Results showed that NIR spectroscopy could be used to detect secondary quality components in maize. The most successful prediction model was for amylose content (SEP: 1.784%, RPD: 3.09, r = 0.963). Models for the other traits (amylopectin, zein, lysine, tryptophan, phytic acid) gave acceptable results (RPD > 2) for material screening purposes. Target traits subjected to calibration studies were found to be related to the different overtone regions of C-H, N-H and S-H bond vibrations in scanning the spectral region. It seems that it is necessary to improve the prediction performance of the models using different approaches, such as broadening the spectral area and/or using chemometric technique combinations. |
| Databáze: | OpenAIRE |
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