It is important to consider the role of diagnostics and the critical need for quality diagnostics services in resource-limited settings. Accurate diagnostic tests play a key role in patient management and the prevention and control of most infectious diseases. As countries plan for implementation of HIV early infant diagnosis and viral load point-of-care testing, the London School of Hygiene & Tropical Medicine has worked with countries and partners with an interest in external quality assurance to support quality point-of-care testing on the continent. Through a series of collaborative consultations and workshops, the London School of Hygiene & Tropical Medicine has gathered lessons learned, tools, and resources and developed quality assurance models that will support point-of-care testing. The London School of Hygiene & Tropical Medicine is committed to the continued advancement of laboratory diagnostics in Africa and quality laboratory services and point-of-care testing.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5433831 | PMC |
http://dx.doi.org/10.4102/ajlm.v5i2.556 | DOI Listing |
Mikrochim Acta
January 2025
Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani, 34190, Thailand.
Carcinoembryonic antigen (CEA) and C-reactive protein (CRP) are biomacromolecules known as cancer and inflammatory markers. Thus, they play a crucial role in early cancer diagnosis, post-treatment recurrence detection, and tumor risk assessment. This paper describes the development of an ultrasensitive and selective imprinted paper-based analytical device (PAD) as impedance sensor for determination of CEA and CRP in serum samples for point-of-care testing (POCT).
View Article and Find Full Text PDFAnal Chim Acta
March 2025
The Radiology Department of Shanxi Provincial People's Hospital Affiliated to Shanxi Medical University, Taiyuan, 030001, China. Electronic address:
Background: Real-time and rapid detection of ingredients in food has important significance for food safety. However, traditional detection methods not only require bulky and costly instruments but also are often based on single-mode analysis, limiting their accuracy and applications in point-of-care testing. Herein, an integrated and miniaturized dual-mode device based on colorimetric and photoacoustic (PA) principles is developed, using Au@Ag nanoparticles (Au@AgNPs) as signal probe and ascorbic acid (AA) and ascorbate oxidase (AAO) as analytes.
View Article and Find Full Text PDFBr J Anaesth
February 2025
Transfusion Research Unit, Department of Public Health and Preventative Medicine, Monash University, Melbourne, VIC, Australia; Department of Clinical Haematology, Monash Health, Clayton, VIC, Australia.
Accurate and timely diagnostic information is a vital adjunct to clinical assessment to inform therapeutic decision-making, including decisions to transfuse, or not transfuse, blood components. A prospective cohort study of diagnostic point-of-care (POC) haemoglobin measurements on arterial or central venous samples from adults undergoing major noncardiac surgery compared three widely used devices, HemoCue®, i-STAT™, and the Rad-67™ pulse CO-Oxymeter® finger sensor device, against standard laboratory haemoglobin measurements, but importantly not against a blood gas analyser. The study focused on haemoglobin results below 100 g L to establish the utility of these devices to guide red cell transfusion decisions.
View Article and Find Full Text PDFTalanta
January 2025
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, PR China. Electronic address:
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as the throughput of these devices increases, the issues of increased energy consumption and cross-contamination of samples remain. In this study, a high-throughput ECL biosensor platform with the assistance of machine learning algorithms is developed by combining a microcolumn array electrode, a microelectrochemical workstation, and a smartphone with custom software.
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