Yazar "Unuvar, A." seçeneğine göre listele

Listeleniyor 1 - 2 / 2
  • Küçük Resim
    Öğe
    A novel approach for rapid discrimination of common and durum wheat flours using spectroscopic analyses combined with chemometrics
    (Academic Press, 2021) Unuvar, A.; Boyaci, Ismail Hakki; Köksel, Hamit
    Spectroscopic methods were used in this study for the discrimination of durum and common wheat samples since they are rapid, reliable, easy to use, low cost, environmentally friendly, and non-destructive. For this purpose, 120 common and 119 durum wheat samples with different genotypes were collected from various regions in Turkey and analysed using Raman spectroscopy, near-infrared spectroscopy (NIR), synchronous fluorescence spectroscopy (SFS), and attenuated total reflectance Fourier-transform infrared spectroscopy (ATR-FTIR). Data analysis was performed using the principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). These spectroscopic tools, combined with chemometric analysis, were generally successful in distinguishing common and durum wheat flour samples. It was found that the best method was SFS with a discrimination rate of 100% based on high sensitivity (1.000) and specificity (1.000) values. The effectiveness of the models in which NIR and ATR-FTIR spectroscopies were used was found to be highly similar in terms of the discrimination of durum and common wheat samples. Data obtained from Raman Spectroscopy demonstrated that the method was less sensitive in discriminating between common and durum wheat flour samples than the other spectroscopic techniques with a quite high RMSEP value (0.441). SFS, ATR-FTIR, and NIR spectroscopies proved to be more sensitive and applicable tools than Raman spectroscopy in the discrimination of common and durum wheat samples.
  • Küçük Resim
    Öğe
    Rapid discrimination of authenticity in wheat flour and pasta samples using LIBS
    (Academic Press, 2022) Sezer, B.; Unuvar, A.; Boyaci, I.H.; Köksel, Hamit
    In this study the possibility of using laser-induced breakdown spectroscopy (LIBS) to discriminate durum and common wheat samples both in flour and pasta and determine the adulteration ratio was explored. For this purpose, 120 common and 119 durum wheat samples including different genotypes were collected from various regions of Anatolia. LIBS spectra were evaluated with partial least squares-discriminant analysis (PLS-DA) and PLS to identify the wheat type and adulteration ratios. In PLS-DA study, sensitivity and specificity of calibration and cross-validation were found as 1.000 and 0.990. The coefficients of determination and limits of detection for durum flour adulteration were found to be 0.999 and 0.52%, respectively. The study demonstrated that LIBS is a promising tool and has potential to become a rapid, reliable, environmental friendly and nondestructive analytical technique for identification and detection of wheat flour adulteration in pasta. © 2022 Elsevier Ltd