Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin
A study was conducted to detect and quantify lard stearin (LS) content in canola oil (CaO) using differential scanning calorimetry (DSC). Authentic samples of CaO were obtained from a reliable supplier and the adulterant LS were obtained through a fractional crystallization procedure as reported pre...
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| Format: | Article |
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Japan Oil Chemists' Society
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/35937/ |
| _version_ | 1848848193960280064 |
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| author | Marikkar, Jalaldeen Mohammed Nazrim Rana, Md. Sohel |
| author_facet | Marikkar, Jalaldeen Mohammed Nazrim Rana, Md. Sohel |
| author_sort | Marikkar, Jalaldeen Mohammed Nazrim |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | A study was conducted to detect and quantify lard stearin (LS) content in canola oil (CaO) using differential scanning calorimetry (DSC). Authentic samples of CaO were obtained from a reliable supplier and the adulterant LS were obtained through a fractional crystallization procedure as reported previously. Pure CaO samples spiked with LS in levels ranging from 5 to 15% (w/w) were analyzed using DSC to obtain their cooling and heating profiles. The results showed that samples contaminated with LS at 5% (w/w) level can be detected using characteristic contaminant peaks appearing in the higher temperature regions (0 to 70°C) of the cooling and heating curves. Pearson correlation analysis of LS content against individual DSC parameters of the adulterant peak namely peak temperature, peak area, peak onset temperature indicated that there were strong correlations between these with the LS content of the CaO admixtures. When these three parameters were engaged as variables in the execution of the stepwise regression procedure, predictive models for determination of LS content in CaO were obtained. The predictive models obtained with single DSC parameter had relatively lower coefficient of determination (R(2) value) and higher standard error than the models obtained using two DSC parameters in combination. This study concluded that the predictive models obtained with peak area and peak onset temperature of the adulteration peak would be more accurate for prediction of LS content in CaO based on the highest coefficient of determination (R(2) value) and smallest standard error. |
| first_indexed | 2025-11-15T09:30:37Z |
| format | Article |
| id | upm-35937 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T09:30:37Z |
| publishDate | 2014 |
| publisher | Japan Oil Chemists' Society |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-359372016-02-11T09:00:55Z http://psasir.upm.edu.my/id/eprint/35937/ Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin Marikkar, Jalaldeen Mohammed Nazrim Rana, Md. Sohel A study was conducted to detect and quantify lard stearin (LS) content in canola oil (CaO) using differential scanning calorimetry (DSC). Authentic samples of CaO were obtained from a reliable supplier and the adulterant LS were obtained through a fractional crystallization procedure as reported previously. Pure CaO samples spiked with LS in levels ranging from 5 to 15% (w/w) were analyzed using DSC to obtain their cooling and heating profiles. The results showed that samples contaminated with LS at 5% (w/w) level can be detected using characteristic contaminant peaks appearing in the higher temperature regions (0 to 70°C) of the cooling and heating curves. Pearson correlation analysis of LS content against individual DSC parameters of the adulterant peak namely peak temperature, peak area, peak onset temperature indicated that there were strong correlations between these with the LS content of the CaO admixtures. When these three parameters were engaged as variables in the execution of the stepwise regression procedure, predictive models for determination of LS content in CaO were obtained. The predictive models obtained with single DSC parameter had relatively lower coefficient of determination (R(2) value) and higher standard error than the models obtained using two DSC parameters in combination. This study concluded that the predictive models obtained with peak area and peak onset temperature of the adulteration peak would be more accurate for prediction of LS content in CaO based on the highest coefficient of determination (R(2) value) and smallest standard error. Japan Oil Chemists' Society 2014 Article PeerReviewed Marikkar, Jalaldeen Mohammed Nazrim and Rana, Md. Sohel (2014) Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin. Journal of Oleo Science, 63 (9). pp. 867-873. ISSN 1345-8957; ESSN: 1347-3352 https://www.jstage.jst.go.jp/article/jos/63/9/63_ess14064/_article 10.5650/jos.ess14064 |
| spellingShingle | Marikkar, Jalaldeen Mohammed Nazrim Rana, Md. Sohel Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title | Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title_full | Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title_fullStr | Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title_full_unstemmed | Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title_short | Use of differential scanning calorimetry to detect canola oil (Brassica napus L.) adulterated with lard stearin |
| title_sort | use of differential scanning calorimetry to detect canola oil (brassica napus l.) adulterated with lard stearin |
| url | http://psasir.upm.edu.my/id/eprint/35937/ http://psasir.upm.edu.my/id/eprint/35937/ http://psasir.upm.edu.my/id/eprint/35937/ |