کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7229304 | 1470920 | 2018 | 25 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Rapid and background-free detection of avian influenza virus in opaque sample using NIR-to-NIR upconversion nanoparticle-based lateral flow immunoassay platform
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
شیمی آنالیزی یا شیمی تجزیه
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
Rapid and sensitive on-site detection of avian influenza virus (AIV) is the key for achieving near real-time surveillance of AIV and reducing the risk of dissemination. However, unlike the laboratory-prepared transparent buffer solutions containing a single type of influenza virus, distinction between real- and false- positive outputs and detection of low concentrations of AIV in stool specimens or cloacal swabs are difficult. Here, we developed a rapid and background-free lateral flow immunoassay (LFA) platform that utilizes near-infrared (NIR)-to-NIR upconversion nanoparticles (UCNPs) to yield a sensor that detects AIV nucleoproteins (NPs) from clinical samples within 20â¯min. Ca2+ as a heterogeneous dopant ion in the shell enhanced the NIR-to-NIR upconversion photoluminescence (PL) emission without inducing significant changes in the morphology of the UCNPs. In a mixture of opaque stool samples and gold nanoparticles (GNPs), which are components of commercial AIV LFA, the background signal of the stool samples masked the absorption peak of GNPs. However, UCNPs dispersed in the stool samples still show strong emission centered at 800â¯nm when excited at 980â¯nm, which enables the NIR-to-NIR upconversion nanoparticle-based lateral flow immunoassay (NNLFA) platform to detect 10-times lower viral load than a commercial GNP-based AIV LFA. The detection limit of NNLFA for LPAI H5N2 and HPAI H5N6 viruses was 102 and 103.5 EID50/mL, respectively. Moreover, the viruses were successfully detected within dark brown-colored samples using the NNLFA but not the commercial AIV LFA. Therefore, the rapid and background-free NNLFA platform can be used for sensitive on-site detection of AIV.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosensors and Bioelectronics - Volume 112, 30 July 2018, Pages 209-215
Journal: Biosensors and Bioelectronics - Volume 112, 30 July 2018, Pages 209-215
نویسندگان
Jaeyoung Kim, Jung Hoon Kwon, Jinyoung Jang, Hyojin Lee, Seungki Kim, Young Ki Hahn, Sang Kyung Kim, Kwan Hyi Lee, Seok Lee, Heesoo Pyo, Chang-Seon Song, Joonseok Lee,