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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Published in: | Food chemistry Vol. 123; no. 4; pp. 1289 - 1293 |
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Main Authors: | , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
Kidlington
Elsevier Ltd
01-12-2010
[Amsterdam]: Elsevier Science Elsevier |
Subjects: | |
Online Access: | Get full text |
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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). |
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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 |