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Micromachines
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Microsystems for Point-of-Care Testing, Volume II
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Microsystems for Point-of-Care Testing, Volume II

A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".

Deadline for manuscript submissions: closed (31 October 2021) | Viewed by 28543

Special Issue Editor

Prof. Dr. Zulfiqur Ali

E-Mail Website
Guest Editor
School of Health, Social Care, Teesside University, Middlesbrough, Tees Valley TS1 3BX, UK
Interests: micro and nanofabrication; microfluidics; lab-on-chip; point-of-care diagnostic; pattern recognition
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Point-of-care (POC) testing offers the opportunity to move healthcare away from the symptomatic treatment of diseases toward more predictive, preventive and personalised medicine. POC testing has advantages over centralised rapid analysis laboratories with no requirement for expensive capital infrastructure or staff with specialist technical expertise. These devices are applicable in a variety of settings including within primary, secondary and tertiary care, as well as within low to medium income countries (LMICs). A wide range of advances—including in assays, transducers, microfluidics and device fabrication, connected instrumentation and data analytics—have allowed the development of a variety of applications, including for chronic and infectious disease conditions. These advances are reflected in an increasing number of scientific publications, patents and commercial products that demonstrate high sensitivity, selectivity and reliability, as well as fast, accurate, cost-effective and user-friendly assays.

On this research topic, we welcome review articles and original research papers aimed at the related key issues of basic research, material development, system integration and data management with new POC diagnostic technologies in the frame of emerging and demanding clinical and biotechnological applications.

Prof. Zulfiqur Ali
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Micromachines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Microfluidics
  • Lab-on-a-chip
  • Point-of-care diagnostics
  • Rapid diagnostics
  • Cancer detection
  • Infectious and chronic diseases
  • Connected instrumentation
  • Data analytics
  • Device fabrication

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Published Papers (1 paper)

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Review

22 pages, 2197 KiB  
Review
Techniques for the Detection of Sickle Cell Disease: A Review
by Wjdan A. Arishi, Hani A. Alhadrami and Mohammed Zourob
Micromachines 2021, 12(5), 519; https://doi.org/10.3390/mi12050519 - 5 May 2021
Cited by 56 | Viewed by 27879
Abstract
Sickle cell disease (SCD) is a widespread disease caused by a mutation in the beta-globin gene that leads to the production of abnormal hemoglobin called hemoglobin S. The inheritance of the mutation could be homozygous or heterozygous combined with another hemoglobin mutation. SCD [...] Read more.
Sickle cell disease (SCD) is a widespread disease caused by a mutation in the beta-globin gene that leads to the production of abnormal hemoglobin called hemoglobin S. The inheritance of the mutation could be homozygous or heterozygous combined with another hemoglobin mutation. SCD can be characterized by the presence of dense, sickled cells that causes hemolysis of blood cells, anemia, painful episodes, organ damage, and in some cases death. Early detection of SCD can help to reduce the mortality and manage the disease effectively. Therefore, different techniques have been developed to detect the sickle cell disease and the carrier states with high sensitivity and specificity. These techniques can be screening tests such as complete blood count, peripheral blood smears, and sickling test; confirmatory tests such as hemoglobin separation techniques; and genetic tests, which are more expensive and need to be done in centralized labs by highly skilled personnel. However, advanced portable point of care techniques have been developed to provide a low-cost, simple, and user-friendly device for detecting SCD, for instance coupling solubility tests with portable devices, using smartphone microscopic classifications, image processing techniques, rapid immunoassays, and sensor-based platforms. This review provides an overview of the current and emerging techniques for sickle cell disease detection and highlights the different potential methods that could be applied to help the early diagnosis of SCD. Full article
(This article belongs to the Special Issue Microsystems for Point-of-Care Testing, Volume II)
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