Bipolar silica nanochannel array confined electrochemiluminescence for ultrasensitive detection of SARS-CoV-2 antibody.
Bipolar silica nanochannel array confined electrochemiluminescence for ultrasensitive detection of SARS-CoV-2 antibody.
复制标题
双极性二氧化硅纳米通道阵列限制电化学发光用于超灵敏检测 SARS-CoV-2 抗体
DOI:
10.1016/j.bios.2022.114563
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发表时间:
2022-11-01
影响因子:
12.6
通讯作者:
中科院分区:
文献类型:
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作者:
Ultrasensitive, specific, and early identification of Coronavirus Disease (2019) (COVID-19) infection is critical to control virus spread and remains a global public health problem. Herein, we present a novel solid-state electrochemiluminescence (ECL) platform targeting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibody with rapidity and ultrahigh sensitivity, in which a bipolar silica nanochannel array (bp-SNA) is fabricated on indium tin oxide (ITO) electrode for the first time to stably confine the ECL probe of tris(2,2′-bipyridyl) ruthenium (Ru(bpy)32+) under dual electrostatic force. The bp-SNA consists of tightly packed bilayer silica nanochannel array (SNA) with asymmetric surface charges, namely an inner negatively charged SNA (n-SNA) and an outer positively charged SNA (p-SNA), serving as an “electrostatic lock” to enrich and stabilize the cationic Ru(bpy)32+ probe without leakage from the electrode surface. The detection of SARS-CoV-2 IgG antibody could be realized via immobilization of SARS-CoV-2 spike protein on the utmost of Ru(bpy)32+-confined solid-state ECL platform (Ru@bp-SNA). Upon the capture of target SARS-CoV-2 IgG by immune recognition, the formed immunocomplex will block the nanochannel, leading to the hindered diffusion of the co-reactant (tri-n-propylamine, TPrA) and further producing a decreased ECL signal. The developed solid-stated ECL immunosensor is able to determine SARS-CoV-2 IgG with a wide linear range (5 pg mL−1 to 1 μg mL−1), a low limit-of-detection (2.9 pg mL−1), and a short incubation time (30 min). Furthermore, accurate analysis of SARS-CoV-2 IgG in real serum samples is also obtained by the sensor.
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影响因子:
158.5
作者:
Li, Qun;Guan, Xuhua;Feng, Zijian
通讯作者:
Feng, Zijian
影响因子:
7.4
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Bertoncello, Paolo;Dennany, Lynn;Unwin, Patrick R.
通讯作者:
Unwin, Patrick R.
影响因子:
6.6
作者:
Giordano, Gianmarco;Vila, Neus;Walcarius, Alain
通讯作者:
Walcarius, Alain
影响因子:
8.6
作者:
Goux, Aurelie;Etienne, Mathieu;Walcarius, Alain
通讯作者:
Walcarius, Alain
影响因子:
--
作者:
Etienne, Mathieu;Goux, Aurelie;Walcarius, Alain
通讯作者:
Walcarius, Alain