Analysis of secondary biochemical components in maize flour samples by NIR (near infrared reflectance) spectroscopy
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Tarih
2020
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Springer
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
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.
Açıklama
Anahtar Kelimeler
Zea mays, Minor quality traits, Wavelength, Spectrum
Kaynak
Journal of Food Measurement and Characterization
WoS Q Değeri
Q3
Scopus Q Değeri
Q1
Cilt
14
Sayı
4
