Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds
A deeper understanding of milk composition from different dairy goat breeds would address the potential variance in quality control, as well as to optimize the production process of dairy products. Understanding these parameters will assist in evaluating goat milk quality. This study was designed to...
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| Format: | Article |
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Taylor & Francis
2019
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| _version_ | 1796980698559545344 |
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| author | Salleh, Noor Aidawati Selamat, Jinap Meng, Goh Yong Abas, Faridah Jambari, Nuzul Noorahya Khatib, Alfi |
| author_facet | Salleh, Noor Aidawati Selamat, Jinap Meng, Goh Yong Abas, Faridah Jambari, Nuzul Noorahya Khatib, Alfi |
| author_sort | Salleh, Noor Aidawati |
| collection | UPM |
| description | A deeper understanding of milk composition from different dairy goat breeds would address the potential variance in quality control, as well as to optimize the production process of dairy products. Understanding these parameters will assist in evaluating goat milk quality. This study was designed to identify potential differentiating features the milk from different goat breeds based on fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis to detect the compositional differences. Eighteen freeze-dried goat milk samples of different breeds (Jamnapari, Saanen and Toggenburg) were analyzed. The results showed a clear discrimination between three different breeds using Partial least square discriminant analysis. The value Q2 and R2Y values are 0.981 and 0.958, which means the model exhibited goodness-of-fit and predictive features that would allow milk samples to be segregated by breed reliably. Result of chemical composition show Jamnapari milk was superior in terms of protein, fat and lactose content with values of 3.7%, 4.20%, and 5.30%, respectively, compared to other breeds. These analyses showed that only Jamnapari goat milk is different compared to the other two breeds. |
| first_indexed | 2024-03-06T10:26:53Z |
| format | Article |
| id | upm.eprints-79945 |
| institution | Universiti Putra Malaysia |
| last_indexed | 2024-03-06T10:26:53Z |
| publishDate | 2019 |
| publisher | Taylor & Francis |
| record_format | dspace |
| spelling | upm.eprints-799452024-02-28T04:01:36Z http://psasir.upm.edu.my/id/eprint/79945/ Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds Salleh, Noor Aidawati Selamat, Jinap Meng, Goh Yong Abas, Faridah Jambari, Nuzul Noorahya Khatib, Alfi A deeper understanding of milk composition from different dairy goat breeds would address the potential variance in quality control, as well as to optimize the production process of dairy products. Understanding these parameters will assist in evaluating goat milk quality. This study was designed to identify potential differentiating features the milk from different goat breeds based on fourier transform infrared spectroscopy (FTIR) coupled with multivariate analysis to detect the compositional differences. Eighteen freeze-dried goat milk samples of different breeds (Jamnapari, Saanen and Toggenburg) were analyzed. The results showed a clear discrimination between three different breeds using Partial least square discriminant analysis. The value Q2 and R2Y values are 0.981 and 0.958, which means the model exhibited goodness-of-fit and predictive features that would allow milk samples to be segregated by breed reliably. Result of chemical composition show Jamnapari milk was superior in terms of protein, fat and lactose content with values of 3.7%, 4.20%, and 5.30%, respectively, compared to other breeds. These analyses showed that only Jamnapari goat milk is different compared to the other two breeds. Taylor & Francis 2019 Article PeerReviewed Salleh, Noor Aidawati and Selamat, Jinap and Meng, Goh Yong and Abas, Faridah and Jambari, Nuzul Noorahya and Khatib, Alfi (2019) Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds. International Journal of Food Properties, 22 (1). pp. 1673-1683. ISSN 1094-2912; ESSN: 1532-2386 https://www.tandfonline.com/doi/full/10.1080/10942912.2019.1668803 10.1080/10942912.2019.1668803 |
| spellingShingle | Salleh, Noor Aidawati Selamat, Jinap Meng, Goh Yong Abas, Faridah Jambari, Nuzul Noorahya Khatib, Alfi Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title | Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title_full | Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title_fullStr | Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title_full_unstemmed | Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title_short | Fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
| title_sort | fourier transform infrared spectroscopy and multivariate analysis of milk from different goat breeds |
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