Pollen-Inspired Photonic Barcodes with Prickly Surface for Multiplex Exosome Capturing and Screening

Author:

Li Ning1ORCID,Bian Feika1,Wei Xiaowei1,Cai Lijun1ORCID,Gu Hongcheng1ORCID,Zhao Yuanjin12ORCID,Shang Luoran13ORCID

Affiliation:

1. Department of Rheumatology and Immunology, Institute of Translational Medicine, Nanjing Drum Tower Hospital, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China

2. Oujiang Laboratory (Zhejiang Lab for Regenerative Medicine, Vision, And Brain Health), Wenzhou Institute, University of Chinese Academy of Sciences, Wenzhou, Zhejiang 325001, China

3. Shanghai Xuhui Central Hospital, Zhongshan-Xuhui Hospital, And the Shanghai Key Laboratory of Medical Epigenetics, The International Co-Laboratory of Medical Epigenetics and Metabolism (Ministry of Science and Technology), Institutes of Biomedical Sciences, Fudan University, Shanghai, China

Abstract

Exosomes, which play an important role in intercellular communication, are closely related to the pathogenesis of disease. However, their effective capture and multiplex screening are still challenging. Here, inspired by the unique structure of pollens, we present novel photonic crystal (PhC) barcodes with prickly surface by hydrothermal synthesis for multiplex exosome capturing and screening. These pollen-inspired PhC barcodes are imparted with extremely high specific surface area and excellent prickly surface nanostructures, which can improve the capture rate and detection sensitivity of exosomes. As the internal periodic structures are kept during the hydrothermal synthesis process, the pollen-inspired PhC barcodes exhibit obvious and stable structural colors for identification, which enables multiplex detection of exosomes. Thus, the pollen-inspired PhC barcodes can not only effectively capture and enrich cancer-related exosomes but also support multiplex screening of exosomes with high sensitivity. These features make the prickly PhC barcodes ideal for the analysis of exosomes in medical diagnosis.

Funder

Shenzhen Fundamental Research Program

Guangdong Basic and Applied Basic Research Foundation

National Natural Science Foundation of China

National Basic Research Program of China

Natural Science Foundation of Jiangsu Province

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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