Differentiation of latex biomembrane with collagen and non-collagen using laser induced breakdown spectroscopy

Autor: Gustavo Nicolodelli, Rondinelli D. Herculano, Bruno S. Marangoni, Matheus C.S. Ribeiro, Débora M.B.P. Milori, Carlos R. Menegatti
Přispěvatelé: Universidade Federal de Santa Catarina (UFSC), Universidade Estadual Paulista (UNESP), Universidade Federal de Mato Grosso do Sul (UFMS), Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA), Universidade de São Paulo (USP)
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Popis: Made available in DSpace on 2022-04-28T19:48:32Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-03-01 Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES) Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Studies on the interaction of a biomaterial with other components are important to enhance its positive effects and resolve its limitations. Therefore, the search for fast and low-cost techniques is essential for the analysis, characterization and differentiation of these biomaterials. Laser-induced breakdown spectroscopy (LIBS) is a multielemental, fast, with reduced analytical cost and environmentally clean technique that does not require the use of reagents for sample preparation. In this work, an elemental characterization of collagen and non-collagen latex samples was performed by LIBS technique. Multivariate analyzes, such as principal component analysis (PCA) and machine learning (ML) algorithms were applied on LIBS data in order to differentiate the classes. The main elements detected in the LIBS spectra examined were due to C, Fe, Mg, Ca, Na, H, N and K. The best results were achieved using LIBS spectral data from the specific range: 656.15–656.55 nm combined with 744.08–744.48 nm. The elements H and N were identified as the main discriminating factors between the samples studied. The leave one out cross-validation tests indicates that collagen latex biomembrane can be differentiated from non-collagen samples with 94.44% accuracy using the Weighted K-Nearest Neighbor algorithm. UFSC – Departamento de Física Universidade Federal de Santa Catarina, POB 476 UNESP - Universidade Estadual Paulista Faculdade de Ciências Farmacêuticas (FCFAR), POB 331 UFMS – Universidade Federal de Mato Grosso do Sul Programa de Pós-Graduação em Ciência dos Materiais EMBRAPA Instrumentação, POB 741 Universidade de São Paulo Escola de Engenharia de Lorena, POB 116 UNESP - Universidade Estadual Paulista Faculdade de Ciências Farmacêuticas (FCFAR), POB 331 FAPESP: 2013/07276-1 FAPESP: 2017/19248-3 FAPESP: 2017/19603-8 CNPq: 313685/2020-7
Databáze: OpenAIRE
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