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Title 

Emerging ultrafast nucleic acid amplification technologies for next-generation molecular diagnostics

Authors 

S H LeeS M ParkB N KimOh Seok KwonW Y RhoB H Jun

Publisher 

Elsevier

Issue Date 

2019

Citation 

Biosensors & Bioelectronics

Keywords 

Artificial intelligenceIsothermal amplificationNucleic acid amplification testPoint-of-care testingUltrafast polymerase chain reaction

Abstract 

Over the last decade, nucleic acid amplification tests (NAATs) including polymerase chain reaction (PCR) were an indispensable methodology for diagnosing cancers, viral and bacterial infections owing to their high sensitivity and specificity. Because the NAATs can recognize and discriminate even a few copies of nucleic acid (NA) and species-specific NA sequences, NAATs have become the gold standard in a wide range of applications. However, limitations of NAAT approaches have recently become more apparent by reason of their lengthy run time, large reaction volume, and complex protocol. To meet the current demands of clinicians and biomedical researchers, new NAATs have developed to achieve ultrafast sample-to-answer protocols for the point-of-care testing (POCT). In this review, ultrafast NA-POCT platforms are discussed, outlining their NA amplification principles as well as delineating recent advances in ultrafast NAAT applications. The main focus is to provide an overview of NA-POCT platforms in regard to sample preparation of NA, NA amplification, NA detection process, interpretation of the analysis, and evaluation of the platform design. Increasing importance will be given to innovative, ultrafast amplification methods and tools which incorporate artificial intelligence (AI)-associated data analysis processes and mobile-healthcare networks. The future prospects of NA POCT platforms are promising as they allow absolute quantitation of NA in individuals which is essential to precision medicine.

URI 

https://doi.org/10.1016/j.bios.2019.111448

ISSN 

0956-5663

Appears in Collections

1. Journal Articles > Journal Articles

Registered Date

2019-10-29


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