Enhanced NIR-II Fluorescent Lateral Flow Biosensing Platform Based on Supramolecular Host-Guest Self-Assembly for Point-of-Care Testing of Tumor Biomarkers
文献类型:期刊论文
作者 | Song, Zhaorui3; Guo, Hong1; Suo, Yongkuan2,3; Zhang, Yongde2,3; Zhang, Shanshan3; Qiu, Peng3; Liu, Lifu3; Chen, Botong3; Cheng, Zhen2,3 |
刊名 | ACS APPLIED MATERIALS & INTERFACES
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出版日期 | 2023-10-27 |
页码 | 13 |
关键词 | point-of-care testing rare-earth nanoparticles NIR-II fluorescence host-guest self-assembly tumor biomarkers |
ISSN号 | 1944-8244 |
DOI | 10.1021/acsami.3c14339 |
通讯作者 | Cheng, Zhen(zcheng@simm.ac.cn) |
英文摘要 | Point-of-care detection of tumor biomarkers with high sensitivity remains an enormous challenge in the early diagnosis and mass screening of cancer. Fluorescent lateral flow immunoassay (LFA) is an attractive platform for point-of-care testing due to its inherent advantages. Particularly, a fluorescent probe is crucial to improving the analytical performance of the LFA platform. Herein, we developed an enhanced second near-infrared (NIR-II) LFA (ENIR-II LFA) platform based on supramolecular host-guest self-assembly for detection of the prostate-specific antigen (PSA) as a model analyte. In this platform, depending on the effective supramolecular surface modification strategy, cucurbit[7]uril (CB[7])-covered rare-earth nanoparticles (RENPs) emitting in the NIR-II (1000-1700 nm) window were prepared and employed as an efficient fluorescent probe (RENPs-CB[7]). Benefiting from its superior optical properties, such as low autofluorescence, excellent photostability, enhanced fluorescence intensity, and increased antibody-conjugation efficiency, the ENIR-II LFA platform displayed a wide linear detection range from 0.65 to 120 ng mL(-1), and the limit of detection was down to 0.22 ng mL(-1) for PSA, which was 18.2 times lower than the clinical cutoff value. Moreover, the testing time was also shortened to 6 min. Compared with the commercial visible fluorescence LFA kit (VIS LFA) and the previously reported NIR-II LFA based on a RENPs-PAA probe, this ENIR-II LFA demonstrated more competitive advantages in analytical sensitivity, detection range, testing time, and production cost. Overall, the ENIR-II LFA platform offers great potential for the highly sensitive, rapid, and convenient detection of tumor biomarkers and is expected to serve as a useful technique in the general population screening of the high-incidence cancer region. |
WOS关键词 | UPCONVERTING NANOPARTICLES ; HUMAN SERUM ; IMMUNOASSAY ; DIAGNOSIS |
资助项目 | National Natural Science Foundation of China[U2267221] ; Natural Science Foundation of Shandong Province[ZR2022QH212] ; Bohai Rim Advanced Research Institute for Drug Discovery[LX215002] |
WOS研究方向 | Science & Technology - Other Topics ; Materials Science |
语种 | 英语 |
WOS记录号 | WOS:001096694300001 |
出版者 | AMER CHEMICAL SOC |
源URL | [http://119.78.100.183/handle/2S10ELR8/307878] ![]() |
专题 | 新药研究国家重点实验室 |
通讯作者 | Cheng, Zhen |
作者单位 | 1.Qingdao Univ, Qingdao Women & Childrens Hosp Affiliated, Clin Lab, Qingdao 266034, Peoples R China 2.Chinese Acad Sci, Shanghai Inst Mat Med, Mol Imaging Ctr, State Key Lab Drug Res, Shanghai 201203, Peoples R China 3.Bohai Rim Adv Res Inst Drug Discovery, Shandong Lab Yantai Drug Discovery, Yantai 264117, Shandong, Peoples R China |
推荐引用方式 GB/T 7714 | Song, Zhaorui,Guo, Hong,Suo, Yongkuan,et al. Enhanced NIR-II Fluorescent Lateral Flow Biosensing Platform Based on Supramolecular Host-Guest Self-Assembly for Point-of-Care Testing of Tumor Biomarkers[J]. ACS APPLIED MATERIALS & INTERFACES,2023:13. |
APA | Song, Zhaorui.,Guo, Hong.,Suo, Yongkuan.,Zhang, Yongde.,Zhang, Shanshan.,...&Cheng, Zhen.(2023).Enhanced NIR-II Fluorescent Lateral Flow Biosensing Platform Based on Supramolecular Host-Guest Self-Assembly for Point-of-Care Testing of Tumor Biomarkers.ACS APPLIED MATERIALS & INTERFACES,13. |
MLA | Song, Zhaorui,et al."Enhanced NIR-II Fluorescent Lateral Flow Biosensing Platform Based on Supramolecular Host-Guest Self-Assembly for Point-of-Care Testing of Tumor Biomarkers".ACS APPLIED MATERIALS & INTERFACES (2023):13. |
入库方式: OAI收割
来源:上海药物研究所
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