Citation
Abstract
Numerous analytical methods for the authentication of halal meat are now well established, with gel-enhanced liquid chromatography-mass spectrometry (GeLCMS) being a popular approach. However, the selection of potential protein markers on 1-dimensional gel electrophoresis (1DE) prior to LCMS is considered problematic, because using the optical density for the selection process could introduce human error. In this study, an improved GeLCMS method assisted by multivariate principal component analysis (PCA) was developed to identify the potential protein markers for non-halal pork among halal beef and chicken. The improved GeLCMS technique allowed for the confident excising of identified protein bands prior to in-gel tryptic digestion. The inferential protein markers (myofibrillar proteins), which might be present in the samples, were determined based on the identified sequence of peptides. This chemometric-assisted GeLCMS could potentially be used as a guideline to assist chemists in analysis of any gel-based separation of biomolecules, regardless of the field of study
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Additional Metadata
Item Type: | Article |
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Divisions: | Faculty of Agriculture and Food Sciences Faculty of Forestry Faculty of Medicine and Health Science Halal Products Research Institute |
DOI Number: | https://doi.org/10.1016/j.chemolab.2019.103825 |
Publisher: | Elsevier BV |
Keywords: | Chemometrics; GeLCMS; Bottom-up proteomics; Protein marker; PCA |
Depositing User: | Azhar Abdul Rahman |
Date Deposited: | 01 Oct 2020 04:03 |
Last Modified: | 01 Oct 2020 04:03 |
Altmetrics: | http://altmetrics.com-details.php?domain=psair.upm.edu.my&doi= 10.1016/j.chemolab.2019.103825 |
URI: | http://psasir.upm.edu.my/id/eprint/80184 |
Statistic Details: | View Download Statistic |
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