Abstract

The present manuscript tested an automated analysis sequence to provide a decision support system to track the OCP synthesis from α-TCP over time. Initially, the XRD and FTIR signals from a hundredfold scaled-up hydrolysis of OCP from α-TCP were fused and modeled by the curve fitting based on the significantly established maxima from the literature and nine features extracted from the fitted shapes. Afterward, the analysis sequence enclosed the machine learning techniques for feature ranking, spatial filtering, and dimensionality reduction to support the automatic recognition of the synthesis stages. The proposed analysis pipeline for OCP identification might be the foundation for a decision support system explicitly targeting OCP synthesis. Future projects will exploit the suggested methodology for pinpointing the OCP production over time (including the intermediary phases present in the OCP formation) and for evaluating whether biological variables might be merged with biomaterial properties to build a unified model of tissue response to the implant.

Details

Title
Fusion and classification algorithm of octacalcium phosphate production based on XRD and FTIR data
Author
Nascimben, Mauro 1 ; Kovrlija, Ilijana 2 ; Locs, Janis 3 ; Loca, Dagnija 3 ; Rimondini, Lia 4   VIAFID ORCID Logo 

 Università del Piemonte Orientale UPO, Center for Translational Research on Autoimmune and Allergic Diseases-CAAD, Department of Health Sciences, Novara, Italy (GRID:grid.16563.37) (ISNI:0000000121663741); Enginsoft SpA, Padua, Italy (GRID:grid.424476.7) 
 Riga Technical University, Institute of Biomaterials and Bioengineering, Faculty of Natural Sciences and Technology, Riga, Latvia (GRID:grid.6973.b) (ISNI:0000 0004 0567 9729) 
 Riga Technical University, Institute of Biomaterials and Bioengineering, Faculty of Natural Sciences and Technology, Riga, Latvia (GRID:grid.6973.b) (ISNI:0000 0004 0567 9729); Headquarters at Riga Technical University, Baltic Biomaterials Centre of Excellence, Riga, Latvia (GRID:grid.6973.b) (ISNI:0000 0004 0567 9729) 
 Università del Piemonte Orientale UPO, Center for Translational Research on Autoimmune and Allergic Diseases-CAAD, Department of Health Sciences, Novara, Italy (GRID:grid.16563.37) (ISNI:0000000121663741) 
Pages
1489
Publication year
2024
Publication date
2024
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2915820567
Copyright
© The Author(s) 2024. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.