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Cited by 330

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Electrospun TiO2 Nanofiber‐Based Cell Capture Assay for Detecting Circulating Tumor Cells from Colorectal and Gastric Cancer Patients

Zhang, Nangang, Deng, Yuliang, Tai, Qidong, Cheng, Boran, Zhao, Libo, Shen, Qinglin, He, Rongxiang, Hong, Longye, Liu, Wei, Guo, Shishang, Liu, Kan, Tseng, Hisan‐Rong, Xiong, Bin, Zhao, Xing‐Zhong·2012·Advanced Materials

Abstract

A nanostructured platform that combines electrospun TiO(2) nanofibers (TiNFs)-deposited substrate and cell-capture agent realizes significant capture of circulating tumor cells (CTCs). The enhanced local topographic interactions between the horizontally packed TiNFs deposited substrates and extracellular matrix scaffolds, in addition to anti-EpCAM/EpCAM biological recognition, contributes to the significantly enhanced capture efficiency compared to flat surfaces.

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Crossref · 10.1002/adma.201200155

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Metadata

Authors
Zhang, N., Deng, Y., Tai, Q., Cheng, B., Zhao, L., Shen, Q., He, R., Hong, L., Liu, W., Guo, S., Liu, K., Tseng, H., Xiong, B., & Zhao, X.
Venue
Advanced Materials
Publisher
Wiley
Published
2012-04-23
Volume
24
Issue
20
Pages
2756-2760
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W2083540760
Cited by
330
References
3
FWCI
11.90
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Electrospun TiO2 Nanofiber‐Based Cell Capture Assay for Detecting Circulating Tumor Cells from Colorectal and Gastric Cancer Patients. https://app.cochat.ai/papers/10.1002/adma.201200155
The paper
Zhang, N., Deng, Y., Tai, Q., Cheng, B., Zhao, L., Shen, Q., He, R., Hong, L., Liu, W., Guo, S., Liu, K., Tseng, H., Xiong, B., & Zhao, X. (2012). Electrospun TiO2 Nanofiber‐Based Cell Capture Assay for Detecting Circulating Tumor Cells from Colorectal and Gastric Cancer Patients. Advanced Materials. https://doi.org/10.1002/adma.201200155

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.