We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress
Sign In
Advertise with Us
Abbott Diagnostics- Hematology Division

Download Mobile App


ATTENTION: Due to the COVID-19 PANDEMIC, many events are being rescheduled for a later date, converted into virtual venues, or altogether cancelled. Please check with the event organizer or website prior to planning for any forthcoming event.

Smartphone-Based DNA Diagnostics Detects Malaria

By LabMedica International staff writers
Posted on 16 Aug 2021
Print article
Image: Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security (Photo courtesy of University of Glasgow)
Image: Smartphone-based DNA diagnostics for malaria detection using deep learning for local decision support and blockchain technology for security (Photo courtesy of University of Glasgow)
There remains a substantial burden from infectious disease in low-resource rural communities, not least as a consequence of malaria. In infectious disease diagnosis, results need to be communicated rapidly to healthcare professionals once testing has been completed so that care pathways can be implemented.

Diagnostic testing continues to underpin control and prevention strategies, primarily through the use of rapid, point-of-care, lateral flow immunoassays, which are affordable, sensitive, specific, user-friendly, rapid and robust, equipment-free and deliverable devices. This represents a particular challenge when testing in remote, low-resource rural communities, in which such diseases often create the largest burden.

Bioengineers at the University of Glasgow (Glasgow, UK) and their colleagues developed a smartphone-based end-to-end platform for multiplexed DNA diagnosis of malaria. The diagnostic platform comprises both hardware and software. The hardware includes a three-dimensional (3D) printed mobile heater for loop-mediated isothermal amplification (LAMP)-based diagnostics as well as a mobile phone and a low-cost disposable sensor cartridge, while the software includes an Arduino program, an Android app and a Hyperledger blockchain network.

The team field tested the platform on blood samples collected from 40 school children from Uganda, and compared their results with the gold-standard PCR assay. The team also used malaria rapid immunodiagnostic tests (RDT) for comparison.

The scientists reported that of the 28 tests that were correctly assigned and valid, 16 were true positives (positive for the manually recorded test, the blockchain records and real-time PCR), six were true negatives, three were false negatives and three were false positives (with respect to the gold standard). The blockchain implementation ensured the security of transactions, opening up the possibility for integration into surveillance databases, while maintaining the required safety around data privacy.

The authors concluded that the smartphone-based end-to-end platform they had developed for multiplexed DNA-based lateral flow diagnostic assays that can be used in remote, low-resource settings. Their decision support tool provides automated detection of the results and their analysis, supporting human expertise, and transactions involved in data handling are secured, trusted and endorsed using blockchain technology. The study was published on August 2, 2021 in the journal Nature Electronics.

Related Links:
University of Glasgow

Gold Supplier
COVID-19 Real Time RT-PCR Kit
respiraScreen 1
SARS-CoV-2 Antigen Test
Actim SARS-CoV-2
Fluorescence Immunoassay Analyzer
Gold Supplier
Desktop Urine Analyzer

Print article


Clinical Chem.

view channel
Image: Illustration is of the Vertical Auto Profile (VAP) Lipid test with clear demarcation of the different lipoprotein classes and subclasses. (Photo courtesy of VAP Diagnostics Laboratory)

Lipoprotein(a) Concentrations Correlate With LDL-C in Diabetic Children

Cardiovascular disease (CVD) is a significant cause of mortality in those with diabetes. Increased apolipoprotein B (apoB) and low-density lipoprotein cholesterol (LDL-C) have been shown in pediatric patients... Read more

Molecular Diagnostics

view channel
Image: Model of the PD-1 (Programmed cell death protein 1) protein. Only a subset of recurrent glioblastomas respond to anti-PD-1 immunotherapy (Photo courtesy of Wikimedia Commons)

Biomarker Predicts Potential Benefit of Checkpoint Inhibitor Therapy for Brain Cancer Patients

A phosphorylated form of ERK (extracellular signal-regulated kinase) protein has been identified as a biomarker that may be used to predict which brain cancer patients might benefit from checkpoint inhibitor... Read more


view channel
Image: The UniCel DxH 800 Coulter Cellular Analysis System (Photo courtesy of Beckman Coulter)

Monocyte Distribution Width Predicts Sepsis in Critically Ill Patients

Sepsis has been reported as a major cause of increased morbidity, length of stay and mortality among patients hospitalized in Intensive Care Units (ICUs) for any cause. The survival of patients developing... Read more


view channel
Image: Procartaplex Immunoassays Kits are based on the principles of a sandwich ELISA, using two highly specific antibodies binding to different epitopes of one protein to quantitate all protein targets simultaneously (Photo courtesy of Thermo Fisher Scientific)

Assay Developed for Patient-Specific Monitoring and Treatment for Ovarian Cancer

Tumors can influence peripheral immune macroenvironment, thereby creating opportunities for non-invasive serum/plasma immunobiomarkers for immunostratification and immunotherapy designing.... Read more


view channel
Image: The Ventana BenchMark Ultra autostainer is for cancer diagnostics with automation and the test menu include IHC, ISH, and FITC tests (Photo courtesy of Ventana Medical System)

Specific Biomarker Investigated for Triple-Negative Breast Cancer Diagnosis

Triple-negative breast cancer (TNBC) is defined by the lack of estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression and comprises a heterogeneous... Read more


view channel
Image: PKeye Workflow Monitor System (Photo courtesy of PerkinElmer, Inc.)

PerkinElmer’s New Cloud-Based Platform Enables Laboratory Personnel to Remotely Manage Its Instruments in Real-Time

PerkinElmer, Inc. (Waltham, MA; USA) has launched its PKeye Workflow Monitor, a cloud-based platform enabling laboratory personnel to remotely manage and monitor their PerkinElmer instruments and workflows... Read more


view channel

Global HBA1c Laboratory Tests Market Driven by Rise in Diabetic Population

The global HBA1c laboratory tests market is projected to expand at a significant pace over the coming years, driven by an increase in the prevalence of diabetes, rise in prescription rate of HBA1c tests... Read more
Copyright © 2000-2021 Globetech Media. All rights reserved.