Literature DB >> 31252258

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

Sang Hun Lee1, Seung-Min Park2, Brian N Kim3, Oh Seok Kwon4, Won-Yep Rho5, Bong-Hyun Jun6.   

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.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Isothermal amplification; Nucleic acid amplification test; Point-of-care testing; Ultrafast polymerase chain reaction

Year:  2019        PMID: 31252258     DOI: 10.1016/j.bios.2019.111448

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  14 in total

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Review 2.  The application of artificial intelligence and radiomics in lung cancer.

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Review 4.  Bridging the gap between development of point-of-care nucleic acid testing and patient care for sexually transmitted infections.

Authors:  Kuangwen Hsieh; Johan H Melendez; Charlotte A Gaydos; Tza-Huei Wang
Journal:  Lab Chip       Date:  2022-02-01       Impact factor: 7.517

5.  Identification of Novel Sensitive and Reliable Serovar-Specific Targets for PCR Detection of Salmonella Serovars Hadar and Albany by Pan-Genome Analysis.

Authors:  Qinghua Ye; Yuting Shang; Moutong Chen; Rui Pang; Fan Li; Xinran Xiang; Chufang Wang; Baoqing Zhou; Shuhong Zhang; Jumei Zhang; Xiaojuan Yang; Liang Xue; Yu Ding; Qingping Wu
Journal:  Front Microbiol       Date:  2021-03-16       Impact factor: 5.640

6.  Disposable silicon-based all-in-one micro-qPCR for rapid on-site detection of pathogens.

Authors:  Estefania Nunez-Bajo; Alexander Silva Pinto Collins; Michael Kasimatis; Yasin Cotur; Tarek Asfour; Ugur Tanriverdi; Max Grell; Matti Kaisti; Guglielmo Senesi; Karen Stevenson; Firat Güder
Journal:  Nat Commun       Date:  2020-12-02       Impact factor: 14.919

7.  Discrimination of Single-Nucleotide Variants Based on an Allele-Specific Hybridization Chain Reaction and Smartphone Detection.

Authors:  Ana Lázaro; Ángel Maquieira; Luis A Tortajada-Genaro
Journal:  ACS Sens       Date:  2022-02-21       Impact factor: 7.711

8.  Smart toilets for monitoring COVID-19 surges: passive diagnostics and public health.

Authors:  T Jessie Ge; Carmel T Chan; Brian J Lee; Joseph C Liao; Seung-Min Park
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9.  Ultrasensitive Stress Biomarker Detection Using Polypyrrole Nanotube Coupled to a Field-Effect Transistor.

Authors:  Kyung Ho Kim; Sang Hun Lee; Sung Eun Seo; Joonwon Bae; Seon Joo Park; Oh Seok Kwon
Journal:  Micromachines (Basel)       Date:  2020-04-22       Impact factor: 2.891

Review 10.  Cancer Diagnosis through SERS and Other Related Techniques.

Authors:  Maria Blanco-Formoso; Ramon A Alvarez-Puebla
Journal:  Int J Mol Sci       Date:  2020-03-24       Impact factor: 5.923

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