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Lígia Bueno Bedatty

CV Lattes


Universidade de São Paulo (USP). Instituto de Química (IQ)  (Institutional affiliation for the last research proposal)
Birthplace: Brazil

Graduation at Chemistry from Universidade Estadual Paulista Júlio de Mesquita Filho (2009), master's at Chemistry from Universidade Federal do ABC (2012) and doctorate at University of Sao Paulo (2016). Has experience in Chemistry, focusing on Analytical Chemistry, acting on the following subjects: electronic nose and tongue, colorimetric device, food samples and non-supervised pattern recognition, besides collaboration at scholar projects (high school). (Source: Lattes Curriculum)

News published in Agência FAPESP Newsletter about the researcher
Scholarships in Brazil
FAPESP support in numbers * Updated July 17, 2021
Total / Available in English
1 / 1   Completed scholarships in Brazil

Associated processes
Most frequent collaborators in research granted by FAPESP
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Keywords used by the researcher
Scientific publications resulting from Research Grants and Scholarships under the grantee's responsibility (3)

(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)

Publications3
Citations33
Cit./Article11.0
Data from Web of Science

BUENO, LIGIA; EL-SHARIF, HAZIM F.; SALLES, MAIARA O.; BOEHM, RYAN D.; NARAYAN, ROGER J.; PAIXAO, THIAGO R. L. C.; REDDY, SUBRAYAL M.. MIP-based electrochemical protein profiling. SENSORS AND ACTUATORS B-CHEMICAL, v. 204, p. 88-95, . Web of Science Citations: 13. (11/23355-3, 12/12106-5)

BUENO, LIGIA; MELONI, GABRIEL N.; REDDY, SUBRAYAL M.; PAIXAO, THIAGO R. L. C.. Use of plastic-based analytical device, smartphone and chemometric tools to discriminate amines. RSC ADVANCES, v. 5, n. 26, p. 20148-20154, . Web of Science Citations: 15. (11/23355-3, 12/12106-5)

BUENO, LIGIA; COTTELL, ALISON; REDDY, SUBRAYAL M.; PAIXAO, THIAGO R. L. C.. Coupling dye-integrated polymeric membranes with smartphone detection to classify bacteria. RSC ADVANCES, v. 5, n. 119, p. 97962-97965, . Web of Science Citations: 5. (14/50792-3, 11/23355-3)

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