New chemometric strategies using Tikhonov regularization for improvement of multivariate calibration models

• Grant number: 17/05550-0
• Support Opportunities: Scholarships abroad - Research
• Start date: September 01, 2017
• End date: June 30, 2018
• Field of knowledge: Physical Sciences and Mathematics - Chemistry - Analytical Chemistry
• Principal Investigator: Fabiola Manhas Verbi Pereira
• Grantee: Fabiola Manhas Verbi Pereira
• Host Investigator: John Kalivas
• Host Institution: Instituto de Química (IQ). Universidade Estadual Paulista (UNESP). Campus de Araraquara. Araraquara , SP, Brazil
• Institution abroad: Idaho State University (ISU), United States

Abstract

This proposal involves the development of new strategies for multivariate calibration in chemical data, in which two innovative strands are included: (1) Development of new processes to evaluate and improve accuracy, i.e. how well a model will work and (2) Maintenance of a prediction model already built, considering the influence of environmental, instrumental, physical and chemical conditions. The impact of these factors should be measured, which should involve an update of the multivariate model to include these new conditions. This project will be carried out in the research group of Prof. John H. Kalivas located in the Department of Chemistry of Idaho State University, campus of the city of Pocatello, Idaho - United States, during the period from September, 2017 to June, 2018. (AU)

Scientific publications

(4)

(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)

GUEDES, WESLEY NASCIMENTO; VERBI PEREIRA, FABIOLA MANHAS. Classifying impurity ranges in raw sugarcane using laser-induced breakdown spectroscopy (LIBS) and sum fusion across a tuning parameter window. Microchemical Journal, v. 143, p. 331-336, DEC 2018. (17/05550-0, 16/00779-6)

GUEDES, WESLEY NASCIMENTO; VERBI PEREIRA, FABIOLA MANHAS. Raw sugarcane classification in the presence of small solid impurity amounts using a simple and effective digital imaging system. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 156, p. 307-311, JAN 2019. (16/00779-6, 17/05550-0)

FABÍOLA MANHAS VERBI PEREIRA; EDENIR RODRIGUES PEREIRA-FILHO. APLICAÇÃO DE PROGRAMA COMPUTACIONAL LIVRE EM PLANEJAMENTO DE EXPERIMENTOS: UM TUTORIAL. Química Nova, v. 41, n. 9, p. 1061-1071, 2018-09-00. (16/00779-6, 16/01513-0, 17/05550-0)

SANTOS, MONICA C.; PEREIRA, V, FABIOLA M.. Direct Analysis of Human Hair Before and After Cosmetic Modification Using a Recent Data Fusion Method. Journal of the Brazilian Chemical Society, v. 31, n. 1, p. 33-39, JAN 2020. (16/00779-6, 17/05550-0)