| Texto completo | |
| Autor(es): |
Oliveira, Arthur Noin de
;
Bolognini, Sophia Regina Frazatto
;
Navarro, Luiz Claudio
;
Delafiori, Jeany
;
Sales, Geovana Manzan
;
Oliveira, Diogo Noin de
;
Catharino, Rodrigo Ramos
Número total de Autores: 7
|
| Tipo de documento: | Artigo Científico |
| Fonte: | Food Chemistry; v. 398, p. 5-pg., 2023-01-01. |
| Resumo | |
Food safety and quality assessment mechanisms are unmet needs that industries and countries have been continuously facing in recent years. Our study aimed at developing a platform using Machine Learning algo-rithms to analyze Mass Spectrometry data for classification of tomatoes on organic and non-organic. Tomato samples were analyzed using silica gel plates and direct-infusion electrospray-ionization mass spectrometry technique. Decision Tree algorithm was tailored for data analysis. This model achieved 92% accuracy, 94% sensitivity and 90% precision in determining to which group each fruit belonged. Potential biomarkers evidenced differences in treatment and production for each group. (AU) | |
| Processo FAPESP: | 19/05718-3 - Determinação das alterações metabólicas e do potencial terapêutico do Zika Vírus em células tumorais por espectrometria de massas e inteligência artificial |
| Beneficiário: | Jeany Delafiori |
| Modalidade de apoio: | Bolsas no Brasil - Doutorado Direto |