An integrated microfluidic system for rapid detection and multiple subtyping of influenza A viruses by using glycan-coated magnetic beads and RT-PCR

被引:47
作者
Shen, Kao-Mai [1 ]
Sabbavarapu, Narayana Murthy [2 ]
Fu, Chien-Yu [1 ]
Jan, Jia-Tsrong [2 ]
Wang, Jen-Ren [3 ]
Hung, Shang-Cheng [2 ,4 ]
Lee, Gwo-Bin [1 ,5 ,6 ]
机构
[1] Natl Tsing Hua Univ, Dept Power Mech Engn, Hsinchu 30013, Taiwan
[2] Acad Sinica, Genom Res Ctr, Taipei 11529, Taiwan
[3] Natl Cheng Kung Univ, Coll Med, Dept Med Lab Sci & Biotechnol, Tainan 701, Taiwan
[4] Natl Taitung Univ, Dept Appl Sci, 369,Sect 2,Univ Rd, Taitung 95092, Taiwan
[5] Natl Tsing Hua Univ, Inst Biomed Engn, Hsinchu 30013, Taiwan
[6] Natl Tsing Hua Univ, Inst NanoEngn & Microsyst, Hsinchu 30013, Taiwan
关键词
BINDING-KINETICS; VACCINE VIRUSES; HEMAGGLUTININ; INFECTION; EPIDEMIOLOGY; H1;
D O I
10.1039/c8lc01369a
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The influenza A (InfA) virus, which poses a significant global public health threat, is routinely classified into subtypes based on viral hemagglutinin (HA) and neuraminidase (NA) antigens. Because there are nearly 200 viral subtypes, current diagnostic approaches require multiplexing or array systems to cover various subtypes of HA and NA. A microfluidic chip featuring a HA x NA array was consequently developed herein for diagnosis and subtyping of InfA viruses via the use of glycan-coated magnetic beads followed by reverse transcription (RT) polymerase chain reaction (PCR). Up to 12 InfA subtypes were simultaneously detected in an automated fashion in less than 100 minutes on this microfluidic platform, representing a significant improvement in analysis speed compared to benchtop RT-PCR and chip-based microarray systems. The limits of detection of the RT-PCR assays ranged from 40 to 3000 copy numbers for the different subtypes of InfA viruses, around two orders of magnitude higher than in previous studies using microfluidic technologies. In summary, the array-type microfluidic chip system provides a rapid, sensitive, and fully automated approach for detection and multiple subtyping of InfA.
引用
收藏
页码:1277 / 1286
页数:10
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