Fourier transform infrared spectroscopy and chemometrics for chemical property prediction of chemically interesterified lipids with butterfat and vegetable oils during storage


Aktaş A. B., Temur G. N., Okcu B. N.

JOURNAL OF MOLECULAR STRUCTURE, cilt.1274, sa.1, ss.1-6, 2023 (SCI-Expanded)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 1274 Sayı: 1
  • Basım Tarihi: 2023
  • Doi Numarası: 10.1016/j.molstruc.2022.134503
  • Dergi Adı: JOURNAL OF MOLECULAR STRUCTURE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Chemical Abstracts Core, INSPEC
  • Sayfa Sayıları: ss.1-6
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

The storage stability of structured lipids has a great importance for food industry and should be defined clearly. The aim of the study is to manufacture structured lipids by chemical interesterification of butter- fat with different vegetable oils, to determine some chemical properties of interesterified lipids through- out storage and to predict free fatty acid, peroxide value, malondialdehyde and mono-di-triacylglycerol contents of these lipids by using middle infrared spectroscopy (FT-MIR). Prediction models were con- structed by using partial least square (PLS) regression with an external cross-validation. The PLS model for TAG with FT-MIR data showed an excellent predictive potential with higher R 2 cal = 0.98, R 2 cv = 0.99 and lower RMSE values. The model for monoacylglycerol content (MAG) showed a good predictive ability with higher R 2 cal = 0.88, R 2 cv = 0.90 and lower RMSE values. The PLS model constructed with FT-IR spectra for diacylglycerol (DAG) content have good capability of prediction due to higher R 2 and lower RMSE values. For the prediction of malondialdehyde (MAD) of interesterified lipids by FT-MIR spectra, regression co- efficient of calibration set was found as 0.84. For the prediction of peroxide value (PV) of interesterified lipids with FT-MIR spectra, R 2 CV = 0.76 and RMSEC = 1.52 and RMSECV = 1.15. Infrared spectroscopy tech- nique could be used for analyzing the chemical changes of fats during storage and also suggests a rapid and non-destructive techniques as good alternatives to the traditional analytical methods