Validation and implementation of chromatographic and radiometric methods for multi-residue pesticide traceability in floriculture.

• Grant number: 24/16250-0
• Support Opportunities: Scholarships in Brazil - Doctorate
• Start date: May 01, 2025
• End date: January 31, 2029
• Field of knowledge: Agronomical Sciences - Agronomy - Plant Health
• Principal Investigator: Kassio Ferreira Mendes
• Grantee: Márcio Antônio Godoi Junior
• Host Institution: Centro de Energia Nuclear na Agricultura (CENA). Universidade de São Paulo (USP). Piracicaba , SP, Brazil

Abstract

The floriculture and ornamental plant sector in Brazil is one of the most promising in agriculture, contributing significantly to the country's Gross Domestic Product (GDP), but it faces critical challenges regarding the safe use of pesticides. Although essential for crop protection, the improper use of these products can result in toxic residues, affecting human health and the environment. In Brazil, there is no specific regulation for pesticide residues in ornamental flowers, which exacerbates the risks associated with dermal, oral, and inhalation exposure to these contaminants. Therefore, the aim of this study is to validate a multiresidue chromatographic method and an effective traceability system to detect, qualify, quantify, and monitor pesticide use within the floriculture sector. Additionally, the study will analyze pesticide use in rose and chrysanthemum crops, the main cut flower species produced, assessing the effectiveness of traceability in compliance with future maximum residue limits, and investigating the socio-economic and environmental impacts of safe pesticide use. The study will be conducted at the Ecotoxicology Laboratory of CENA/USP, using chrysanthemum plants cultivated under controlled conditions, with analyses of selectivity, absorption, and translocation of 14C-labeled pesticides, as well as sampling from flower shops, supermarkets, and growers in the state of São Paulo. Liquid chromatography coupled with tandem mass spectrometry (LC-MS/MS) will be used for analyses. The research will support the formulation of public policies and promote sustainable agricultural practices, ensuring population safety and environmental protection.