Literature DB >> 28750519

PCR Technologies for Point of Care Testing: Progress and Perspectives.

Salvatore Petralia1, Sabrina Conoci1.   

Abstract

Since the Human Genome Project completed in 2000, the sequencing of the first genome, massive progress has been made by medical science in the early diagnosis and personalized therapies based on nucleic acids (NA) analysis. To allow the extensive use of these molecular methods in medical practice, scientific research is nowadays strongly focusing on the development of new miniaturized and easy-to-use technologies and devices allowing fast and low cost NA analysis in decentralized environments. It is now the era of so-called genetic "Point-of-Care" (PoC). These systems must integrate and automate all steps necessary for molecular analysis such as sample preparation (extraction and purification of NA) and detection based on PCR (Polymerase Chain Reaction) technology in order to perform, by unskilled personnel, in vitro genetic analysis near the patient (in hospital, in the physician office, clinic, or home), with rapid answers and low cost. In this review, the recent advances in genetic PoC technologies are discussed, including the extraction and PCR amplification chemistry suitable for PoC use and the new frontiers of research in this field.

Entities:  

Keywords:  PCR; PoC; electrical transduction; fully integrated systems; intercalating agents; lab-on-chips; labeled-probes; nucleic acids; sample prep

Year:  2017        PMID: 28750519     DOI: 10.1021/acssensors.7b00299

Source DB:  PubMed          Journal:  ACS Sens        ISSN: 2379-3694            Impact factor:   7.711


  23 in total

1.  Self-digitization chip for quantitative detection of human papillomavirus gene using digital LAMP.

Authors:  Jason E Kreutz; Jiasi Wang; Allison M Sheen; Alison M Thompson; Jeannette P Staheli; Michael R Dyen; Qinghua Feng; Daniel T Chiu
Journal:  Lab Chip       Date:  2019-03-13       Impact factor: 6.799

Review 2.  Point-of-care diagnostics for infectious diseases: From methods to devices.

Authors:  Chao Wang; Mei Liu; Zhifei Wang; Song Li; Yan Deng; Nongyue He
Journal:  Nano Today       Date:  2021-02-06       Impact factor: 20.722

3.  High-Throughput Variant Detection Using a Color-Mixing Strategy.

Authors:  Nina G Xie; Kerou Zhang; Ping Song; Renqiang Li; Junfeng Luo; David Y Zhang
Journal:  J Mol Diagn       Date:  2022-06-16       Impact factor: 5.341

4.  Translating in vitro diagnostics from centralized laboratories to point-of-care locations using commercially-available handheld meters.

Authors:  JingJing Zhang; Tian Lan; Yi Lu
Journal:  Trends Analyt Chem       Date:  2019-12-23       Impact factor: 12.296

5.  Fast detection of SARS-CoV-2 RNA via the integration of plasmonic thermocycling and fluorescence detection in a portable device.

Authors:  Jiyong Cheong; Hojeong Yu; Chang Yeol Lee; Jung-Uk Lee; Hyun-Jung Choi; Jae-Hyun Lee; Hakho Lee; Jinwoo Cheon
Journal:  Nat Biomed Eng       Date:  2020-12-03       Impact factor: 25.671

6.  Tandem blocking of PCR extension to form a single-stranded overhang for facile, visual, and ultrasensitive gene detection.

Authors:  Zhe Sui; Tong Li; Ran An; Wei Wu; Makoto Komiyama; Xingguo Liang
Journal:  RSC Adv       Date:  2018-04-25       Impact factor: 4.036

Review 7.  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

8.  Graphene oxide enhances the specificity of the polymerase chain reaction by modifying primer-template matching.

Authors:  Yuanyuan Wang; Fengbang Wang; Hailin Wang; Maoyong Song
Journal:  Sci Rep       Date:  2017-11-28       Impact factor: 4.379

9.  Chimeric Phage Nanoparticles for Rapid Characterization of Bacterial Pathogens: Detection in Complex Biological Samples and Determination of Antibiotic Sensitivity.

Authors:  Huan Peng; Raymond E Borg; Anna B N Nguyen; Irene A Chen
Journal:  ACS Sens       Date:  2020-05-05       Impact factor: 7.711

10.  An Advanced, Silicon-Based Substrate for Sensitive Nucleic Acids Detection.

Authors:  Salvatore Petralia; Nunzio Vicario; Giovanna Calabrese; Rosalba Parenti; Sabrina Conoci
Journal:  Sensors (Basel)       Date:  2018-09-17       Impact factor: 3.576

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