A review on material analysis of food safety based on fluorescence spectrum combined with artificial neural network technology

• Main Authors: Trias Mahmudiono, -, Raed Obaid Saleh, -, Gunawan Widjaja, -, Tzu-Chia Chen, -, Ghulam Yasin, -, Lakshmi Thangavelu, -, Usama Salim Altimari, -, Supat Chupradit, -, Mustafa Mohammed Kadhim, -, Haydar Abdulameer Marhoon, -
• Format: Article PeerReviewed
• Language: English; English; English
• Published: Sociedade Brasileira de Ciencia e Tecnologia de Alimentos 2022
• Subjects: R Medicine
• Online Access: https://repository.unair.ac.id/124848/1/Artikel%20C18.pdf; https://repository.unair.ac.id/124848/2/Turnitin%20A1.pdf; https://repository.unair.ac.id/124848/5/C18_Validasi.pdf; https://repository.unair.ac.id/124848/; https://www.scielo.br/j/cta/; https://doi.org/10.1590/fst.118721
• Institution: Universitas Airlangga

Aiming at the problem that it is difficult to achieve rapid and accurate detection of pesticide residues, the artificial neural network method is used to separate the mixed fluorescence spectra in the measurement of acetamiprid pesticide residues, and a fluorescence spectrum that can quickly detect...