RT info:eu-repo/semantics/article
T1 Rheological method for determining the molecular weight of collagen gels by using a machine learning technique
A1 Núñez Carrero, Karina Carla
A1 Velasco Merino, Cristian
A1 Asensio Valentín, María
A1 Guerrero, Julia
A1 Merino Senovilla, Juan Carlos
K1 Collagen
K1 Colágeno
K1 Polymers
K1 Polímeros y polimerización
K1 Rheology
K1 Reología
K1 Molecular weights
K1 Machine learning
K1 Aprendizaje automático
K1 22 Física
K1 23 Química
AB This article presents, for the first time, the results of applying the rheological technique to measure the molecular weights (Mw) and their distributions (MwD) of highly hierarchical biomolecules, such as non-hydrolyzed collagen gels. Due to the high viscosity of the studied gels, the effect of the concentrations on the rheological tests was investigated. In addition, because these materials are highly sensitive to denaturation and degradation under mechanical stress and temperatures close to 40 °C, when frequency sweeps were applied, a mathematical adjustment of the data by machine learning techniques (artificial intelligence tools) was designed and implemented. Using the proposed method, collagen fibers of Mw close to 600 kDa were identified. To validate the proposed method, lower Mw species were obtained and characterized by both the proposed rheological method and traditional measurement techniques, such as chromatography and electrophoresis. The results of the tests confirmed the validity of the proposed method. It is a simple technique for obtaining more microstructural information on these biomolecules and, in turn, facilitating the design of new structural biomaterials with greater added value.
PB MDPI
SN 2073-4360
YR 2022
FD 2022
LK https://uvadoc.uva.es/handle/10324/61221
UL https://uvadoc.uva.es/handle/10324/61221
LA eng
NO Polymers, 2022, Vol. 14, Nº. 17, 3683
NO Producción Científica
DS UVaDOC
RD 08-may-2024