Determination of total trans fat content in Pakistani cereal-based foods by SB-HATR FT-IR spectroscopy coupled with partial least square regression

The purpose of this study was to determine the total trans fat content from the Fourier transform infrared (FT-IR) spectra of neat fats extracted from cereal-based foods using a single-bounce horizontal attenuated total reflectance (SB-HATR) sampling accessory. Partial least squares (PLS) regression...

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Bibliographic Details
Published in:Food chemistry Vol. 123; no. 4; pp. 1289 - 1293
Main Authors: Mahesar, S.A., Kandhro, Aftab A., Cerretani, L., Bendini, A., Sherazi, S.T.H., Bhanger, M.I.
Format: Journal Article
Language:English
Published: Kidlington Elsevier Ltd 01-12-2010
[Amsterdam]: Elsevier Science
Elsevier
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Summary:The purpose of this study was to determine the total trans fat content from the Fourier transform infrared (FT-IR) spectra of neat fats extracted from cereal-based foods using a single-bounce horizontal attenuated total reflectance (SB-HATR) sampling accessory. Partial least squares (PLS) regression was employed for the development of calibration models. A trans fat calibration curve was prepared by adding trielaidine gravimetrically to trans free canola oil. Regression of the FT-IR/PLS-predicted trans contents was 0.999 with a root-mean-square error of calibration (RMSEC) and root-mean-square error of prediction (RMSEP) 0.07% and 0.07%, respectively. Amongst the samples examined, the fat content was in the range of 8.2–27.2%, whilst most samples contained more than 10% trans fat; the highest trans fat content was 16.3%. The FT-IR results were comparable with gas chromatography (GC).
Bibliography:http://dx.doi.org/10.1016/j.foodchem.2010.05.101
ISSN:0308-8146
1873-7072
DOI:10.1016/j.foodchem.2010.05.101