tetano
Editor, Senior Moderator
Anal Chim Acta. 2020 Feb 1;1096:18-25. doi: 10.1016/j.aca.2019.10.063. Epub 2019 Oct 31. [h=1]Dual-mode detection of avian influenza virions (H9N2) by ICP-MS and fluorescence after quantum dot labeling with immuno-rolling circle amplification.[/h]
Xiao G[SUP]1[/SUP], Chen B[SUP]1[/SUP], He M[SUP]1[/SUP], Hu B[SUP]2[/SUP].
[h=3]Author information[/h] 1 Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan, 430072, China. 2 Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan, 430072, China. Electronic address: binhu@whu.edu.cn.
[h=3]Abstract[/h] Avian influenza virus (AIVs), hosted in poultry, are the pathogens of many poultry diseases and human infections, which bring huge losses to the poultry breeding industry and huge panic to society. Therefore, it is of great significance to establish accurate and sensitive detection methods for AIVs. In this work, a dual-mode detection method based on immuno-rolling circle amplification (immuno-RCA) and quantum dots (QDs) labeling for inductively coupled plasma mass spectrometry (ICP-MS) and fluorescence detection of H9N2 AIV was developed. The dual-mode detection of the QDs by ICP-MS and fluorescence is used to achieve mutual verification within the analysis results, thus improving the accuracy of the method. With the immuno-RCA, the sensitivity of the method was increased by two orders of magnitude. The limit of detection of the proposed method is 17 ng L[SUP]-1[/SUP] and 61 ng L[SUP]-1[/SUP], and the linear range of the proposed method is 0.05-5 ng mL[SUP]-1[/SUP] and 0.1-5 ng mL[SUP]-1[/SUP] with ICP-MS and fluorescence detection, respectively. The relative standard deviation (n = 7) is 4.9% with ICP-MS detection and 3.1% with fluorescence detection. Furthermore, the proposed method was applied to the analysis of chicken serum samples, no significant different was found for two modes detection and the recoveries of the spiking experiments are acceptable, indicating that the method has good practical potential for real sample analysis.
Copyright ? 2019 Elsevier B.V. All rights reserved.
[h=4]KEYWORDS:[/h] Dual mode detection; H9N2 avian influenza virus; ICP-MS; Quantum dot; Rolling circle amplification
PMID: 31883585 DOI: 10.1016/j.aca.2019.10.063
Xiao G[SUP]1[/SUP], Chen B[SUP]1[/SUP], He M[SUP]1[/SUP], Hu B[SUP]2[/SUP].
[h=3]Author information[/h] 1 Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan, 430072, China. 2 Key Laboratory of Analytical Chemistry for Biology and Medicine (Ministry of Education), Department of Chemistry, Wuhan University, Wuhan, 430072, China. Electronic address: binhu@whu.edu.cn.
[h=3]Abstract[/h] Avian influenza virus (AIVs), hosted in poultry, are the pathogens of many poultry diseases and human infections, which bring huge losses to the poultry breeding industry and huge panic to society. Therefore, it is of great significance to establish accurate and sensitive detection methods for AIVs. In this work, a dual-mode detection method based on immuno-rolling circle amplification (immuno-RCA) and quantum dots (QDs) labeling for inductively coupled plasma mass spectrometry (ICP-MS) and fluorescence detection of H9N2 AIV was developed. The dual-mode detection of the QDs by ICP-MS and fluorescence is used to achieve mutual verification within the analysis results, thus improving the accuracy of the method. With the immuno-RCA, the sensitivity of the method was increased by two orders of magnitude. The limit of detection of the proposed method is 17 ng L[SUP]-1[/SUP] and 61 ng L[SUP]-1[/SUP], and the linear range of the proposed method is 0.05-5 ng mL[SUP]-1[/SUP] and 0.1-5 ng mL[SUP]-1[/SUP] with ICP-MS and fluorescence detection, respectively. The relative standard deviation (n = 7) is 4.9% with ICP-MS detection and 3.1% with fluorescence detection. Furthermore, the proposed method was applied to the analysis of chicken serum samples, no significant different was found for two modes detection and the recoveries of the spiking experiments are acceptable, indicating that the method has good practical potential for real sample analysis.
Copyright ? 2019 Elsevier B.V. All rights reserved.
[h=4]KEYWORDS:[/h] Dual mode detection; H9N2 avian influenza virus; ICP-MS; Quantum dot; Rolling circle amplification
PMID: 31883585 DOI: 10.1016/j.aca.2019.10.063