Sample Preparation and Diagnostic Methods for a Variety of Settings: A Comprehensive Review.
biosensors
extraction
high-throughput screening
medical diagnosis
microfluidics
point-of-care (POC)
point-of-care testing (POCT)
sample preparation
separations
Journal
Molecules (Basel, Switzerland)
ISSN: 1420-3049
Titre abrégé: Molecules
Pays: Switzerland
ID NLM: 100964009
Informations de publication
Date de publication:
18 Sep 2021
18 Sep 2021
Historique:
received:
14
08
2021
revised:
14
09
2021
accepted:
14
09
2021
entrez:
28
9
2021
pubmed:
29
9
2021
medline:
2
10
2021
Statut:
epublish
Résumé
Sample preparation is an essential step for nearly every type of biochemical analysis in use today. Among the most important of these analyses is the diagnosis of diseases, since their treatment may rely greatly on time and, in the case of infectious diseases, containing their spread within a population to prevent outbreaks. To address this, many different methods have been developed for use in the wide variety of settings for which they are needed. In this work, we have reviewed the literature and report on a broad range of methods that have been developed in recent years and their applications to point-of-care (POC), high-throughput screening, and low-resource and traditional clinical settings for diagnosis, including some of those that were developed in response to the coronavirus disease 2019 (COVID-19) pandemic. In addition to covering alternative approaches and improvements to traditional sample preparation techniques such as extractions and separations, techniques that have been developed with focuses on integration with smart devices, laboratory automation, and biosensors are also discussed.
Identifiants
pubmed: 34577137
pii: molecules26185666
doi: 10.3390/molecules26185666
pmc: PMC8470389
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : HHS/NIH/National Institute of General Medical Sciences (NIGMS) through the Chemistry/Biology Interface Program at the University of Maryland Baltimore County
ID : 5T32GM066706
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