Ng, Jing Sheng and Muhammad, Syahidah Akmal and Yong, Chin Hong and Rodhi, Ainolsyakira Mohd and Ibrahim, Baharudin and Adenan, Mohd Noor Hidayat and Moosa, Salmah and Othman, Zainon and Salim, Nazaratul Ashifa Abdullah and Sharif, Zawiyah and Ismail, Faridah and Kelly, Simon D. and Cannavan, Andrew (2022) Adulteration detection of edible bird's nests using rapid spectroscopic techniques coupled with multi-class discriminant analysis. Foods, 11 (16). ISSN 2304-8158, DOI https://doi.org/10.3390/foods11162401.
Full text not available from this repository.Abstract
Edible bird's nests (EBNs) are vulnerable to adulteration due to their huge demand for traditional medicine and high market price. Presently, there are pressing needs to explore field-deployable rapid screening techniques to detect adulteration of EBNs. The objective of this study is to explore the feasibility of using a handheld near-infrared (VIS/SW-NIR) spectroscopic device for the determination of EBN authenticity against the benchmark performance of a benchtop mid-infrared (MIR) spectrometer. Forty-nine authentic EBNs from the different states in Malaysia and 13 different adulterants (five types) were obtained and used to simulate the adulteration of EBNs at 1, 5 and 10% adulteration by mass (a total of 15 adulterated samples). The VIS/SW-NIR and MIR spectra collated were subsequently processed, modelled and classified using multi-class discriminant analysis. The VIS/SW-NIR results showed 100% correct classification for the collagen and nutrient agar classes in authenticity classification, while for the other classes, the lowest correct classification rate was 96.3%. For MIR analysis, only the karaya gum class had 100% correct classification whilst for the other four classes, the lowest rate of correct classification was at 94.4%. In conclusion, the combination of spectroscopic analysis with chemometrics can be a powerful screening tool to detect EBN adulteration.
| Item Type: | Article |
|---|---|
| Funders: | InternationalAtomic EnergyAgency (IAEA) under the TechnicalCooperation Program [MAL5030], Coordinated Research Project (CRP) [D52040/G42007] [22215] [USM304/PTEKIND/650887] |
| Uncontrolled Keywords: | Edible bird's nest; Mid-infrared; Near-infrared; Adulteration; Multi-class discriminant analysis |
| Subjects: | Q Science > Q Science (General) T Technology > TX Home economics |
| Divisions: | Faculty of Pharmacy |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 21 Sep 2023 06:33 |
| Last Modified: | 21 Sep 2023 06:33 |
| URI: | http://eprints.um.edu.my/id/eprint/41389 |
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