The central aim is to develop a method for quickly identifying authentic pet food brands using near-infrared spectroscopy.
Collected 353 pet food samples from four different brands.
Utilized near-infrared spectroscopy for analysis.
Applied modified SPA-SI (Successive Projections Algorithm - Spectral Information Enhancement) for better information extraction.
Achieved high-precision brand discrimination among the pet food samples.
Provided effective and cost-efficient identification techniques for consumers.
Abstract
For pet food consumers, it is essential to identify authentic brands quickly, simply, and cost-effectively. In this study, 353 pet food samples from four brands were selected, and high-precision brand...