| Grant number: | 18/12131-6 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | February 01, 2019 |
| End date: | January 31, 2024 |
| Field of knowledge: | Physical Sciences and Mathematics - Chemistry - Analytical Chemistry |
| Principal Investigator: | Maria Valnice Boldrin |
| Grantee: | Maísa Azevedo Beluomini |
| Host Institution: | Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil |
| Associated research grant: | 14/50945-4 - INCT 2014: National Institute for Alternative Technologies of Detection, Toxicological Evaluation and Removal of Micropollutants and Radioactivies, AP.TEM |
| Associated scholarship(s): | 20/01822-8 - Benchtop fabrication of microgap sensor based on carbon nanomaterials for selective detection of flavonoids, BE.EP.PD |
Abstract The waste water of the citrus industry is considered a high polluting agent due to its rich organic composition. On the other hand, the rapid and efficient control of these compounds in industrial processes is of high relevance for the evaluation of the reuse of biomass for more economic, strategic and environmentally friendly purposes. In this context, electrochemical sensors based on imprinted electrodes can be an alternative with reliable, fast, easy to handle and low cost responses, as they allow the development of more robust methods with high performance, portability and contaminant free surfaces. Thus, this project aims to develop electrochemical sensors based on imprinted electrodes modified with nanoporous metal materials for determination of flavonoids hesperidin, narirutine, sinensitin and naringenin. The oxidation of these analytes on the sensors of high electrical conductivity and electrocatalytic activity will provide high sensitivity and selectivity of these flavonoids in wastes of the citrus industry. In addition, it is intended to combine the portability of these sensors with the wireless communication, through the development of platforms that will allow to collect, process and send the data via wi-fi to a smartphone/laptop, aiming the application in the field and in real time, through intelligent devices, with low power consumption and robust. | |
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