Adulteration detection of edible bird's nests using rapid spectroscopic techniques coupled with multi-class discriminant analysis

• 主要な著者: Ng, Jing Sheng, Muhammad, Syahidah Akmal, Yong, Chin Hong, Rodhi, Ainolsyakira Mohd, Ibrahim, Baharudin, Adenan, Mohd Noor Hidayat, Moosa, Salmah, Othman, Zainon, Salim, Nazaratul Ashifa Abdullah, Sharif, Zawiyah, Ismail, Faridah, Kelly, Simon D., Cannavan, Andrew
• フォーマット: 論文
• 出版事項: MDPI 2022
• 主題: Q Science (General); TX Home economics
• オンライン･アクセス: http://eprints.um.edu.my/41389/

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...