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    崔华

    • 教授 博士生导师 硕士生导师
    • 教师英文名称:Hua Cui
    • 电子邮箱:
    • 办公地点:环境资源楼-339
    • 联系方式:0551-3600730
    • 学位:博士
    • 2006当选:国家杰出青年科学基金获得者

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    Ultrasensitive PD-L1-Expressing Exosome Immunosensors Based on a Chemiluminescent Nickel–Cobalt Hydroxide Nanoflower for Diagnosis and Classification of Lung Adenocarcinoma

    点击次数:

    DOI码:10.1021/acssensors.4c00954

    发表刊物:ACS Sens.

    摘要:Programmed death ligand-1 (PD-L1)-expressing exosomes are considered a potential marker for diagnosis and classification of lung adenocarcinoma (LUAD). There is an urgent need to develop highly sensitive and accurate chemiluminescence (CL) immunosensors for the detection of PD-L1-expressing exosomes. Herein, N-(4-aminobutyl)-N-ethylisopropanol-functionalized nickel–cobalt hydroxide (NiCo-DH-AA) with a hollow nanoflower structure as a highly efficient CL nanoprobe was synthesized using gold nanoparticles as a “bridge”. The resulting NiCo-DH-AA exhibited a strong and stable CL emission, which was ascribed to the exceptional catalytic capability and large specific surface area of NiCo-DH, along with the capacity of AuNPs to facilitate free radical generation. On this basis, an ultrasensitive sandwich CL immunosensor for the detection of PD-L1-expressing exosomes was constructed by using PD-L1 antibody-modified NiCo-DH-AA as an effective signal probe and rabbit anti-CD63 protein polyclonal antibody-modified carboxylated magnetic bead as a capture platform. The immunosensor demonstrated outstanding analytical performance with a wide detection range of 4.75 × 103–4.75 × 108 particles/mL and a low detection limit of 7.76 × 102 particles/mL, which was over 2 orders of magnitude lower than the reported CL method for detecting PD-L1-expressing exosomes. Importantly, it was able to differentiate well not only between healthy persons and LUAD patients (100% specificity and 87.5% sensitivity) but also between patients with minimally invasive adenocarcinoma and invasive adenocarcinoma (92.3% specificity and 52.6% sensitivity). Therefore, this study not only presents an ultrasensitive and accurate diagnostic method for LUAD but also offers a novel, simple, and noninvasive approach for the classification of LUAD.

    合写作者:Shengnian Zhou,郑可颖,张文灿,王依莎

    第一作者:王慢莉

    论文类型:期刊论文

    通讯作者:Dongliang Yang,舒江南,崔华

    学科门类:理学

    文献类型:J

    卷号:9

    期号:6

    页面范围:3444–3454

    是否译文:

    发表时间:2024-06-07

    收录刊物:SCI

    发布期刊链接:https://pubs.acs.org/doi/full/10.1021/acssensors.4c00954