Citation: Yue Xiao, Xiaohui Yin, Pengjuan Sun, Yuanqiang Sun, Lingbo Qu, Zhaohui Li. Dual microenvironmental parameter-responsive lysosome-targeting carbon dots for the high contrast discrimination of a broad spectrum of cancer cells[J]. Chinese Chemical Letters, ;2022, 33(12): 5051-5055. doi: 10.1016/j.cclet.2022.03.109 shu

Dual microenvironmental parameter-responsive lysosome-targeting carbon dots for the high contrast discrimination of a broad spectrum of cancer cells

College of Chemistry, Institute of Analytical Chemistry for Life Science, Henan Joint International Research Laboratory of Green Construction of Functional Molecules and Their Bioanalytical Applications, Zhengzhou University, Zhengzhou 450001, China

sunyq@zzu.edu.cn

zhaohui.li@zzu.edu.cn

Received Date: 23 December 2021
Revised Date: 16 March 2022
Accepted Date: 30 March 2022
Available Online: 2 April 2022

Figures(5)

The development of new carbon dots (CDs) for fluorescence-based cancer diagnosis has recently attracted extensive attention. Diagnosis methods based on ligand-receptor fluorescence suffer from the heterogeneity of receptor expression. Changes in the microenvironments of cancer cells provide opportunities for accurate and broad-spectrum cancer diagnosis. The lysosomes in cancer cells have lower polarity and higher viscosity than normal cells. Based on these two key microenvironmental parameters, dual-responsive CDs with inherent lysosome-targeting ability were synthesized via one-step hydrothermal treatment. The CDs exhibit many advantageous properties including facile synthesis, good water solubility, pH-independent emission, excellent photostability, good biocompatibility, and wash-free imaging ability. The CDs were successfully employed in the fluorescence-based discrimination of a broad spectrum of cancer cells from normal cells with high contrast. The CDs are promising candidates for use in the field of cancer diagnosis.
- Carbon dots,
- Multiple microenvironmental parameters,
- Lysosome-targeting,
- High contrast imaging,
- Cancer diagnosis
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