Literature DB >> 22401570

Rapid and highly sensitive method for influenza A (H1N1) virus detection.

Li-Chen Su1, Chung-Ming Chang, Ya-Ling Tseng, Ying-Feng Chang, Ying-Chang Li, Yu-Sun Chang, Chien Chou.   

Abstract

In this study, we applied the developed paired surface plasma waves biosensor (PSPWB) in a dual-channel biosensor for rapid and sensitive detection of swine-origin influenza A (H1N1) virus (S-OIV). In conjunction with the amplitude ratio of the signal and the reference channel, the stability of the PSPWB system is significantly improved experimentally. The theoretical limit of detection (LOD) of the dual-channel PSPWB for S-OIV is 30 PFU/mL (PFU, plaque-forming unit), which was calculated from the fitting curve of the surface plasmon resonance signal with a S-OIV clinical isolate concentration in phosphate-buffered saline (PBS) over a range of 18-1.8 × 10(6) PFU/mL. The LOD is 2 orders of magnitude more sensitive than the commercial rapid influenza diagnostic test at worst and an order of magnitude less sensitive than real-time quantitative polymerase chain reaction (PCR) whose LOD for S-OIV in PBS was determined to be 3.5 PFU/mL in this experiment. Furthermore, under in vivo conditions, this experiment demonstrates that the assay successfully measured S-OIV at a concentration of 1.8 × 10(2) PFU/mL in mimic solution, which contained PBS-diluted normal human nasal mucosa. Most importantly, the assay time took less than 20 min. From the results, the dual-channel PSPWB potentially offers great opportunity in developing an alternative PCR-free diagnostic method for rapid, sensitive, and accurate detection of viral pathogens with epidemiological relevance in clinical samples by using an appropriate pathogen-specific antibody.

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Year:  2012        PMID: 22401570     DOI: 10.1021/ac3002947

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  8 in total

1.  Development of amperometric biosensor based on cloned hemagglutinin gene of H1N1 (swine flu) virus.

Authors:  Paramjeet Singh Gill; Jagriti Narang; Ashok Kumar; Hari Mohan
Journal:  3 Biotech       Date:  2022-06-01       Impact factor: 2.893

2.  Reversible Self-Assembled Monolayers (rSAMs): Adaptable Surfaces for Enhanced Multivalent Interactions and Ultrasensitive Virus Detection.

Authors:  Sing Yee Yeung; Annabell Mucha; Ravindra Deshmukh; Malak Boutrus; Thomas Arnebrant; Börje Sellergren
Journal:  ACS Cent Sci       Date:  2017-11-10       Impact factor: 14.553

Review 3.  Advanced biosensors for detection of pathogens related to livestock and poultry.

Authors:  Jasmina Vidic; Marisa Manzano; Chung-Ming Chang; Nicole Jaffrezic-Renault
Journal:  Vet Res       Date:  2017-02-21       Impact factor: 3.683

4.  A rapid-response ultrasensitive biosensor for influenza virus detection using antibody modified boron-doped diamond.

Authors:  Dawid Nidzworski; Katarzyna Siuzdak; Paweł Niedziałkowski; Robert Bogdanowicz; Michał Sobaszek; Jacek Ryl; Paulina Weiher; Mirosław Sawczak; Elżbieta Wnuk; William A Goddard; Andrés Jaramillo-Botero; Tadeusz Ossowski
Journal:  Sci Rep       Date:  2017-11-16       Impact factor: 4.379

5.  Detection methods for influenza A H1N1 virus with special reference to biosensors: a review.

Authors:  Ravina R; Anita Dalal; Hari Mohan; Minakshi Prasad; C S Pundir
Journal:  Biosci Rep       Date:  2020-02-28       Impact factor: 3.840

Review 6.  Advances in airborne microorganisms detection using biosensors: A critical review.

Authors:  Jinbiao Ma; Manman Du; Can Wang; Xinwu Xie; Hao Wang; Qian Zhang
Journal:  Front Environ Sci Eng       Date:  2021-04-05

7.  User-friendly point-of-care detection of influenza A (H1N1) virus using light guide in three-dimensional photonic crystal.

Authors:  Nuree Lee; Cong Wang; Jungyul Park
Journal:  RSC Adv       Date:  2018-06-22       Impact factor: 4.036

Review 8.  Point-of-Care Diagnostics for Farm Animal Diseases: From Biosensors to Integrated Lab-on-Chip Devices.

Authors:  Georgios Manessis; Athanasios I Gelasakis; Ioannis Bossis
Journal:  Biosensors (Basel)       Date:  2022-06-26
  8 in total

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