共 49 条
Quantitative detection of dengue serotypes using a smartphone-connected handheld lab-on-chip platform
被引:14
作者:
Moser, Nicolas
[1
]
Yu, Ling-Shan
[2
]
Manzano, Jesus Rodriguez
[1
,3
]
Malpartida-Cardenas, Kenny
[1
]
Au, Anselm
[1
]
Arkell, Paul
[3
]
Cicatiello, Chiara
[1
]
Moniri, Ahmad
[1
]
Miglietta, Luca
[1
,3
]
Wang, Wen-Hung
[4
,5
,6
]
Wang, Sheng Fan
[5
,6
]
Holmes, Alison
[3
,7
]
Chen, Yen-Hsu
[4
,5
,6
]
Georgiou, Pantelis
[1
]
机构:
[1] Imperial Coll London, Fac Engn, Ctr Bioinspired Technol, Dept Elect & Elect Engn, London, England
[2] Natl Sun Yat Sen Univ, Inst Biopharmaceut Sci, Coll Med, Kaohsiung, Taiwan
[3] Imperial Coll London, Fac Med, Dept Infect Dis, London, England
[4] Natl Sun Yat Sen Univ, Coll Med, Sch Med, Kaohsiung, Taiwan
[5] Kaohsiung Med Univ, Ctr Trop Med & Infect Dis, Kaohsiung, Taiwan
[6] Kaohsiung Med Univ, Dept Med Lab Sci & Biotechnol, Kaohsiung, Taiwan
[7] Univ Liverpool, Inst Syst Mol & Integrat Biol, Liverpool, England
基金:
英国工程与自然科学研究理事会;
英国惠康基金;
关键词:
diagnostics;
digital diagnostics;
lab-on-chip;
point-of-care;
nucleic acid;
dengue;
surveillance;
molecular assay;
AMPLIFICATION;
IMMUNOSENSOR;
BIOSENSOR;
SEQUENCE;
TESTS;
CMOS;
RNA;
D O I:
10.3389/fbioe.2022.892853
中图分类号:
Q81 [生物工程学(生物技术)];
Q93 [微生物学];
学科分类号:
071005 ;
0836 ;
090102 ;
100705 ;
摘要:
Dengue is one of the most prevalent infectious diseases in the world. Rapid, accurate and scalable diagnostics are key to patient management and epidemiological surveillance of the dengue virus (DENV), however current technologies do not match required clinical sensitivity and specificity or rely on large laboratory equipment. In this work, we report the translation of our smartphone-connected handheld Lab-on-Chip (LoC) platform for the quantitative detection of two dengue serotypes. At its core, the approach relies on the combination of Complementary Metal-Oxide-Semiconductor (CMOS) microchip technology to integrate an array of 78 x 56 potentiometric sensors, and a label-free reverse-transcriptase loop mediated isothermal amplification (RT-LAMP) assay. The platform communicates to a smartphone app which synchronises results in real time with a secure cloud server hosted by Amazon Web Services (AWS) for epidemiological surveillance. The assay on our LoC platform (RT-eLAMP) was shown to match performance on a gold-standard fluorescence-based real-time instrument (RT-qLAMP) with synthetic DENV-1 and DENV-2 RNA and extracted RNA from 9 DENV-2 clinical isolates, achieving quantitative detection in under 15 min. To validate the portability of the platform and the geo-tagging capabilities, we led our study in the laboratories at Imperial College London, UK, and Kaohsiung Medical Hospital, Taiwan. This approach carries high potential for application in low resource settings at the point of care (PoC).
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页数:14
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