Meat species discrimination using NMR-based metabolomic for halal aunthentication
Proton Nuclear Magnetic Resonance (NMR) is shown to be a potentially very promising method for the analysis of meat species discrimination of four types of commonly consume meats in Malaysia namely, mutton, beef, chicken meat and pork. This study reports the combination of proton NMR metabolites pro...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Halal Products Research Institute, Universiti Putra Malaysia
2014
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| Online Access: | http://psasir.upm.edu.my/id/eprint/64202/1/M60.pdf |
| _version_ | 1796977850052509696 |
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| author | Mokhtar, Nurjuliana Abdul Hamid, Azizah Mat Hashim, Dzulkifly Mustafa, Shuhaimi Ismail, Amin |
| author_facet | Mokhtar, Nurjuliana Abdul Hamid, Azizah Mat Hashim, Dzulkifly Mustafa, Shuhaimi Ismail, Amin |
| author_sort | Mokhtar, Nurjuliana |
| collection | UPM |
| description | Proton Nuclear Magnetic Resonance (NMR) is shown to be a potentially very promising method for the analysis of meat species discrimination of four types of commonly consume meats in Malaysia namely, mutton, beef, chicken meat and pork. This study reports the combination of proton NMR metabolites profile from the spectra and pattern recognition method are able to distinguish the meats and classified it into their own groups. These grouping models allowed identifying molecular markers that useful for detection of adulterant indicator of meat and meat based products for Halal authentication. |
| first_indexed | 2024-03-06T09:46:07Z |
| format | Conference or Workshop Item |
| id | upm.eprints-64202 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T09:46:07Z |
| publishDate | 2014 |
| publisher | Halal Products Research Institute, Universiti Putra Malaysia |
| record_format | dspace |
| spelling | upm.eprints-642022018-07-02T02:58:08Z http://psasir.upm.edu.my/id/eprint/64202/ Meat species discrimination using NMR-based metabolomic for halal aunthentication Mokhtar, Nurjuliana Abdul Hamid, Azizah Mat Hashim, Dzulkifly Mustafa, Shuhaimi Ismail, Amin Proton Nuclear Magnetic Resonance (NMR) is shown to be a potentially very promising method for the analysis of meat species discrimination of four types of commonly consume meats in Malaysia namely, mutton, beef, chicken meat and pork. This study reports the combination of proton NMR metabolites profile from the spectra and pattern recognition method are able to distinguish the meats and classified it into their own groups. These grouping models allowed identifying molecular markers that useful for detection of adulterant indicator of meat and meat based products for Halal authentication. Halal Products Research Institute, Universiti Putra Malaysia 2014 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/64202/1/M60.pdf Mokhtar, Nurjuliana and Abdul Hamid, Azizah and Mat Hashim, Dzulkifly and Mustafa, Shuhaimi and Ismail, Amin (2014) Meat species discrimination using NMR-based metabolomic for halal aunthentication. In: Malaysia International Halal Research & Education Conference 2014 (MIHREC 2014), 2-4 Dec. 2014, Marriott Putrajaya Hotel, Malaysia. (p. 301). |
| spellingShingle | Mokhtar, Nurjuliana Abdul Hamid, Azizah Mat Hashim, Dzulkifly Mustafa, Shuhaimi Ismail, Amin Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title | Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title_full | Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title_fullStr | Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title_full_unstemmed | Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title_short | Meat species discrimination using NMR-based metabolomic for halal aunthentication |
| title_sort | meat species discrimination using nmr based metabolomic for halal aunthentication |
| url | http://psasir.upm.edu.my/id/eprint/64202/1/M60.pdf |
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