Quantification of Airborne Influenza and Avian Influenza Virus in a Wet Poultry Market using a Filter/Real-time qPCR Method

被引:35
|
作者
Chen, Pei-Shih [1 ]
Lin, Chien Kun [1 ]
Tsai, Feng Ta [1 ]
Yang, Chun-Yuh [1 ]
Lee, Chien-Hung [1 ]
Liao, Yen-Shung [1 ]
Yeh, Ching-Ying [2 ]
King, Chwan-Chuen [3 ]
Wu, Jiunn-Lin [4 ]
Wang, Yu-Chun [5 ]
Lin, Kuei-Hsiang [6 ]
机构
[1] Kaohsiung Med Univ, Inst & Dept Publ Hlth, Coll Hlth Sci, Kaohsiung 807, Taiwan
[2] Taipei Med Univ, Sch Med, Taipei, Taiwan
[3] Natl Taiwan Univ, Coll Publ Hlth, Inst Epidemiol, Taipei 10764, Taiwan
[4] Natl Chung Hsing Univ, Coll Sci, Dept Comp Sci, Taichung 40227, Taiwan
[5] Chung Yuan Christian Univ, Coll Engn, Dept Bioenvironm Engn, Chungli, Taiwan
[6] Kaohsiung Med Univ, Dept Clin Lab, Kaohsiung 807, Taiwan
关键词
MYCOBACTERIUM-TUBERCULOSIS; RELATIVE-HUMIDITY; AIR SAMPLES; PCR ASSAY; A H5N1; INACTIVATION; SURVIVAL; TRANSMISSION; IMPINGER; STORAGE;
D O I
10.1080/02786820802621232
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Influenza viruses cause pandemics in humans. The aim of this study was therefore to evaluate filter/real-time qPCR to quickly and accurately determine and quantify the airborne influenza and avian influenza virus. In this study, the sampling stress of filtration to influenza virus and the storage effects for both the virus and extracted RNA were evaluated in the laboratory. Then, the collection efficiencies of open-face and closed-face filter cassettes were compared in a wet poultry market. From July 8 to August 19, 2006, a total of 36 air samples were quantified by filter/real-time qPCR. The recovery rate of the virus on a filter stored at 4C reached 0.94 after 3-day storage, whereas the RNA stored at -80C was 100% after 3-month storage. In terms of collection efficiency, the closed-face filter cassette was superior to the open-face filter cassette in the field study. In the wet poultry market, it was revealed that both the positive rate and concentration of influenza A virus in the chicken pen were higher than that in the duck pen, possibly due to differences in ventilation type, climate factors, and avian characteristics. To our knowledge, this is the first report describing the quantification of airborne influenza virus in field samples. This quantitative technique should provide more insight into influenza/avian influenza virus transmissibility and epidemiology of influenza/avian influenza, as well as infection control.
引用
收藏
页码:290 / 297
页数:8
相关论文
共 41 条
  • [31] Development and Evaluation of New Real-Time RT-PCR Assays for Identifying the Influenza A Virus Cluster IV H3N2 Variant
    Saito, Shinji
    Nakauchi, Mina
    Takayama, Ikuyo
    Nagata, Shiho
    Odagiri, Takato
    Kageyama, Tsutomu
    JAPANESE JOURNAL OF INFECTIOUS DISEASES, 2019, 72 (02) : 127 - 129
  • [32] Development of a real-time RT-PCR method for the detection of newly emerged highly pathogenic H7N9 influenza viruses
    Wang Xiu-rong
    Gu Lin-lin
    Shi Jian-zhong
    Xu Hai-feng
    Zhang Ying
    Zeng Xian-ying
    Deng Guo-hua
    Li Cheng-jun
    Chen Hua-lan
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2017, 16 (09) : 2055 - 2061
  • [33] Quantification of Mirafiori lettuce big-vein virus and its vector, Olpidium virulentus, from soil using real-time PCR
    Momonoi, K.
    Mori, M.
    Matsuura, K.
    Moriwaki, J.
    Morikawa, T.
    PLANT PATHOLOGY, 2015, 64 (04) : 825 - 830
  • [34] Design and Performance of the CDC Real-Time Reverse Transcriptase PCR Swine Flu Panel for Detection of 2009 A (H1N1) Pandemic Influenza Virus
    Shu, Bo
    Wu, Kai-Hui
    Emery, Shannon
    Villanueva, Julie
    Johnson, Roy
    Guthrie, Erica
    Berman, LaShondra
    Warnes, Christine
    Barnes, Nathelia
    Klimov, Alexander
    Lindstrom, Stephen
    JOURNAL OF CLINICAL MICROBIOLOGY, 2011, 49 (07) : 2614 - 2619
  • [35] Polymeric LabChip Real-Time PCR as a Point-of-Care-Potential Diagnostic Tool for Rapid Detection of Influenza A/H1N1 Virus in Human Clinical Specimens
    Song, Hyun-Ok
    Kim, Je-Hyoung
    Ryu, Ho-Sun
    Lee, Dong-Hoon
    Kim, Sun-Jin
    Kim, Deog-Joong
    Suh, In Bum
    Choi, Du Young
    In, Kwang-Ho
    Kim, Sung-Woo
    Park, Hyun
    PLOS ONE, 2012, 7 (12):
  • [36] Real-Time Epidemic Monitoring and Forecasting of H1N1-2009 Using Influenza-Like Illness from General Practice and Family Doctor Clinics in Singapore
    Ong, Jimmy Boon Som
    Chen, Mark I-Cheng
    Cook, Alex R.
    Lee, Huey Chyi
    Lee, Vernon J.
    Lin, Raymond Tzer Pin
    Tambyah, Paul Ananth
    Goh, Lee Gan
    PLOS ONE, 2010, 5 (04):
  • [37] Human immunodeficiency virus type 1 RNA levels in different regions of human brain: Quantification using real-time reverse transcriptase-polymerase chain reaction
    Kumar, Adarsh M.
    Borodowsky, Irina
    Fernandez, Benny
    Gonzalez, Louis
    Kumar, Mahendra
    JOURNAL OF NEUROVIROLOGY, 2007, 13 (03) : 210 - 224
  • [38] Comparative evaluation of real-time PCR and conventional RT-PCR during a 2 year surveillance for influenza and respiratory syncytial virus among children with acute respiratory infections in Kolkata, India, reveals a distinct seasonality of infection
    Agrawal, Anurodh S.
    Sarkar, Mehuli
    Chakrabarti, Sekhar
    Rajendran, K.
    Kaur, Harpreet
    Mishra, Akhilesh C.
    Chatterjee, Mrinal K.
    Naik, Trailokya N.
    Chadha, Mandeep S.
    Chawla-Sarkar, Mamta
    JOURNAL OF MEDICAL MICROBIOLOGY, 2009, 58 (12) : 1616 - 1622
  • [39] Discrimination Between Mild and Severe Citrus tristeza virus Isolates with a Rapid and Highly Specific Real-Time Reverse Transcription-Polymerase Chain Reaction Method Using TaqMan LNA Probes
    Ruiz-Ruiz, S.
    Moreno, P.
    Guerri, J.
    Ambros, S.
    PHYTOPATHOLOGY, 2009, 99 (03) : 307 - 315
  • [40] Optimization of the elution buffer and concentration method for detecting hepatitis E virus in swine liver using a nested reverse transcription-polymerase chain reaction and real-time reverse transcription-polymerase chain reaction
    Son, Na Ry
    Seo, Dong Joo
    Lee, Min Hwa
    Seo, Sheungwoo
    Wang, Xiaoyu
    Lee, Bog-Hieu
    Lee, Jeong-Su
    Joo, In-Sun
    Hwang, In-Gyun
    Choi, Changsun
    JOURNAL OF VIROLOGICAL METHODS, 2014, 206 : 99 - 104