No-invasive characterization of unconventional food plants (PANC) by using energy-dispersive X-ray fluorescence and chemometrics

• Grant number: 22/02232-5
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: June 01, 2022
• End date: May 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
• Principal Investigator: Fabiola Manhas Verbi Pereira
• Grantee: Leticia da Silva Rodrigues
• Host Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil

Abstract

Unconventional food plants (PANC) are still uncommon in many people's lives, even offering high accessibility due to easy cultivation. They are still absent in several meals. In this way, if people were more willing to value these types of crops, they would realize their importance and develop autonomy in the production of their food. To the surprise of many, these plants have high nutritional values that are considered very important for our body and have levels equal to or above those of commonly consumed vegetables. In addition, PANC may contain some minerals and vitamins that are not found in other foods. Thus, the objective of this scientific initiation project will be to identify the mineral composition present in samples from the following PANC: serralha (Sonchus oleraceus), peixinho (Nematanthus gregarious), and leaves of ora-pro-nóbis (Pereskia aculeata Miller), using the technique analytical energy-dispersive X-ray fluorescence (EDXRF) combined with chemometric models. In addition to making wide dissemination; then the entire population has access to knowledge about the benefits these plants add to our lives.(AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

DENNIS DA SILVA FERREIRA; LETICIA DA SILVA RODRIGUES; FABIOLA MANHAS VERBI PEREIRA; EDENIR RODRIGUES PEREIRA FILHO. PRINCIPAL COMPONENT ANALYSIS (PCA) PARA A AVALIAÇÃO DE DADOS QUÍMICOS E GERAÇÃO DE HEAT MAPS: UM TUTORIAL. Química Nova, v. 46, n. 7, p. 747-754, 2023-08-28. (16/17221-8, 19/24223-5, 22/02232-5, 21/10882-7)