This work reports the development of a relevant and general method based on high frequency impedance measurements, for the in situ monitoring of the alpha-tricalcium phosphate (α-TCP) to calcium-deficient hydroxyapatite (CDA) transformation which is the driving force of the hardening processes of some calcium phosphate cements (CPC) used as bone substitutes. The three main steps of the setting reaction are identified in a non invasive way through the variation of dielectric permittivity and dielectric losses. The method is also likely to characterize the effect of the incorporation of additives (i.e, antiosteoporotic bisphosphonate drugs such as Alendronate) in the CPC formulation on the hydration process. It allows not only to confirm the retarding effect of bisphosphonate by an accurate determination of setting times, but also to assess the phenomena taking place whether alendronate is added in the liquid phase or combined to the solid phase of the cement composition. Compared to the conventional Gillmore needle test, the present method offers the advantage of accurate, user-independent, in situ and real-time determination of the initial and final times of the chemical hardening process, which are important parameters when considering surgical applications.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.actbio.2013.10.019DOI Listing

Publication Analysis

Top Keywords

high frequency
8
frequency impedance
8
setting reaction
8
impedance measurement
4
measurement relevant
4
relevant tool
4
tool monitoring
4
monitoring apatitic
4
apatitic cement
4
cement setting
4

Similar Publications

Food needs and health behaviors in the COVID-19 situation: a case study of quarantined communities in densely populated areas of Bangkok, Thailand.

J Health Popul Nutr

January 2025

Department of General Education, Faculty of Sciences and Health Technology, Navamindradhiraj University, 3 Khao Rd. Vajirapayaban Dusit, Bangkok, 10300, Thailand.

Background: The Thai government's initial response to the novel coronavirus disease 2019 (COVID-19) led to confusion and food insecurity in quarantined low-income communities. Although free food programs were initiated, no official assessment of their impact exists. The objective of this study was to evaluate the effectiveness of these food programs by surveying the food requirements, food needs, and health behaviors of quarantined, densely populated communities in Bangkok.

View Article and Find Full Text PDF

Lipid nanoparticles deliver DNA-encoded biologics and induce potent protective immunity.

Mol Cancer

January 2025

Department of Medicine, Section of Epidemiology and Population Sciences, Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, 77030, USA.

Lipid nanoparticles (LNPs) for mRNA delivery have advanced significantly, but LNP-mediated DNA delivery still faces clinical challenges. This study compared various LNP formulations for delivering DNA-encoded biologics, assessing their expression efficacy and the protective immunity generated by LNP-encapsulated DNA in different models. The LNP formulation used in Moderna's Spikevax mRNA vaccine (LNP-M) demonstrated a stable nanoparticle structure, high expression efficiency, and low toxicity.

View Article and Find Full Text PDF

Background: In moderate-to-high malaria transmission regions, the World Health Organization recommends intermittent preventive treatment in pregnancy (IPTp) with sulfadoxine-pyrimethamine (SP) alongside insecticide-treated bed nets to reduce the adverse consequences of pregnancy-associated malaria. Due to high-grade Plasmodium falciparum resistance to SP, novel treatment regimens need to be evaluated for IPTp, but these increase pill burden and treatment days. The present qualitative study assessed the acceptability of IPTp-SP plus dihydroartemisinin-piperaquine (DP) in Papua New Guinea, where IPTp-SP was implemented in 2009.

View Article and Find Full Text PDF

Objectives: This data note presents a comprehensive geodatabase of cardiovascular disease (CVD) hospitalizations in Mashhad, Iran, alongside key environmental factors such as air pollutants, built environment indicators, green spaces, and urban density. Using a spatiotemporal dataset of over 52,000 hospitalized CVD patients collected over five years, the study supports approaches like advanced spatiotemporal modeling, artificial intelligence, and machine learning to predict high-risk CVD areas and guide public health interventions.

Data Description: This dataset includes detailed epidemiologic and geospatial information on CVD hospitalizations in Mashhad, Iran, from January 1, 2016, to December 31, 2020.

View Article and Find Full Text PDF

Improving 10-year cardiovascular risk prediction in patients with type 2 diabetes with metabolomics.

Cardiovasc Diabetol

January 2025

Division of Clinical Epidemiology and Aging Research, German Cancer Research Center, Im Neuenheimer Feld 581, 69120, Heidelberg, Germany.

Background: Existing cardiovascular risk prediction models still have room for improvement in patients with type 2 diabetes who represent a high-risk population. This study evaluated whether adding metabolomic biomarkers could enhance the 10-year prediction of major adverse cardiovascular events (MACE) in these patients.

Methods: Data from 10,257 to 1,039 patients with type 2 diabetes from the UK Biobank (UKB) and the German ESTHER cohort, respectively, were used for model derivation, internal and external validation.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!