A rapid and non-destructive approach using data fusion to track and monitor endangered amazon freshwater stingray meat

• Published in: Journal of food composition and analysis 2025-03, Vol.139, p.107147, Article 107147
• Main Authors: de Andrade, Jelmir Craveiro, de Almeida Oliveira, Camila, de Oliveira, Adriano Teixeira, Tessaro, Letícia, Amazonas, Maria Glauciney Fernandes Macedo, Santos, Bianca Carvalho dos, Oliveira, Pedro Lucas Caetano de, Yamamoto, Kedma Cristine, Conte-Junior, Carlos Adam
• Format: Article
• Language: English
• Subjects: Chemometrics Tools; ComDim Analysis; Data Fusion; FT-MIR; Species Conservation; Stingray Meat; Traceability
• ISSN: 0889-1575
• DOI: 10.1016/j.jfca.2024.107147

This study presents a fast and non-destructive method to improve the traceability of Amazon stingray meat, focusing on species conservation and food safety. The approach combines spectral reflectance (SR), Fourier Transform Mid-Infrared (FT-MIR) spectroscopy, and advanced data fusion techniques to classify stingray meat samples by commercial origin, geographic region, and species, including the endangered Paratrygon aireba. Partial Least Squares Discriminant Analysis (PLS-DA) models were applied separately to SR and FT-MIR data, revealing that FT-MIR data significantly enhanced classification accuracy, particularly for geographic region and species. Key spectral bands, such as amides I and II (1641–1550 cm⁻¹) and ester groups (1242–1056 cm⁻¹), were identified as critical for species discrimination. Data integration through Common Dimensions Analysis (ComDim), followed by Linear Discriminant Analysis (LDA), further improved classification performance. The fusion of SR and FT-MIR data using ComDim-LDA achieved up to 92.8 % accuracy in identifying the geographic region and distinguishing the endangered species. This methodology offers a powerful tool for environmental monitoring, quality control, and the authentication of fish products, providing a rapid, non-destructive solution to protect threatened species and ensure food safety. •New non-destructive method with SR and FT-MIR to monitor endangered stingrays.•SR and FT-MIR with ComDim accurately differentiate natural and commercial samples.•Spectral bands were identified for identification of stingray species.•The approach Supports environmental monitoring and fishery product authentication.•Conservation strategy for stingrays in the Amazon biome for institutions.