Towards authentication of beef, chicken and lard using micro near-infrared spectrometer based on support vector machine classification

• Main Authors: Alfar, Ibrahim J., Khorshidtalab, Aida, Akmeliawati, Rini, Ahmad, Salmiah, Jaswir, Irwandi
• Format: Article
• Language: English; English
• Published: Asian Research Publishing Network (ARPN) 2016
• Subjects: TA164 Bioengineering; TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
• Online Access: http://irep.iium.edu.my/51090/1/jeas_0316_3933.pdf; http://irep.iium.edu.my/51090/4/51090_Towards%20authentication%20of%20beef%2C%20chicken%20and%20lard%20using%20micro%20near%C2%ADinfrared_Scopus.pdf; http://irep.iium.edu.my/51090/; http://www.arpnjournals.org/jeas/research_papers/rp_2016/jeas_0316_3933.pdf

NIR (near infrared) spectrometer utilized a quick reliable mean of molecular chemical detection. In this paper, we propose a method on authenticating fats originated from beef, chicken and lard. These compositions can be identified by NIR spectrometers through qualitative and quantitative analysis...