An LF-NMR Biosensor for the Detection of Circulating Tumor Cells Based on Target-Triggered Bioorthogonal Chemistry and Click Chemistry

Circulating tumor cells (CTCs), crucial biomarkers for monitoring cancer metastasis and prognosis, present significant challenges for detection technologies due to their extremely low abundance in peripheral blood. This study introduces a low-field nuclear magnetic resonance (LF-NMR) biosensor leveraging the synergistic effect of biorthogonal chemistry and click chemistry for CTC detection by a sol-gel phase-transition strategy. Initially, CTCs were targeted and enriched using mucin 1-specific aptamers. Subsequently, Cys-GO@CuO nanoprobes were assembled quantitatively on captured CTCs through target-triggered bioorthogonal chemistry: sialic acid molecules on the cell membrane were oxidized by NaIO<sub>4</sub> to generate aldehyde groups, enabling their covalent coupling with thiol/amino groups of nanoprobes via thiazolidine bond formation. Then, acidolysis reduction of CuO released Cu<sup>+</sup> ions, catalyzing azide-alkyne cycloaddition click reactions to drive sol-gel phase transitions. Quantitative CTC analysis was achieved by monitoring LF-NMR-derived transverse relaxation time (T<sub>2</sub>) signal changes. Under optimal conditions, the detection limit for MCF-7 cells is as low as 5 cells/mL, with satisfactory precision and accuracy for real samples. This integrated platform offers a sensitive, accurate, stable, and operationally simple method for CTC detection, showcasing promising applications for liquid biopsy and precision medicine.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-08-14
DOI
https://doi.org/10.1021/acs.analchem.5c02809
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An LF-NMR Biosensor for the Detection of Circulating Tumor Cells Based on Target-Triggered Bioorthogonal Chemistry and Click Chemistry

Qingqing Zhang, Zhiyong Guo, Wanlei Gao, Yangbo Wu et al.
Analytical Chemistry
Advanced biosensing and bioanalysis techniques
article

An LF-NMR Biosensor for the Detection of Circulating Tumor Cells Based on Target-Triggered Bioorthogonal Chemistry and Click Chemistry

Qingqing Zhang, Zhiyong Guo, Wanlei Gao, Yangbo Wu, Hao Tan, Han Zeng, Meng Ye, Fan Yang, Tingting Hao, Jinyun Li
article en

Abstract

Circulating tumor cells (CTCs), crucial biomarkers for monitoring cancer metastasis and prognosis, present significant challenges for detection technologies due to their extremely low abundance in peripheral blood. This study introduces a low-field nuclear magnetic resonance (LF-NMR) biosensor leveraging the synergistic effect of biorthogonal chemistry and click chemistry for CTC detection by a sol-gel phase-transition strategy. Initially, CTCs were targeted and enriched using mucin 1-specific aptamers. Subsequently, Cys-GO@CuO nanoprobes were assembled quantitatively on captured CTCs through target-triggered bioorthogonal chemistry: sialic acid molecules on the cell membrane were oxidized by NaIO<sub>4</sub> to generate aldehyde groups, enabling their covalent coupling with thiol/amino groups of nanoprobes via thiazolidine bond formation. Then, acidolysis reduction of CuO released Cu<sup>+</sup> ions, catalyzing azide-alkyne cycloaddition click reactions to drive sol-gel phase transitions. Quantitative CTC analysis was achieved by monitoring LF-NMR-derived transverse relaxation time (T<sub>2</sub>) signal changes. Under optimal conditions, the detection limit for MCF-7 cells is as low as 5 cells/mL, with satisfactory precision and accuracy for real samples. This integrated platform offers a sensitive, accurate, stable, and operationally simple method for CTC detection, showcasing promising applications for liquid biopsy and precision medicine.

Analytical ChemistryVol. 97(33)
Ningbo University (CN), Institute of Quality Standards and Testing Technology for Agro Products (CN), Ningbo First Hospital (CN)
Openalex Percentile: Top 82%
Advanced biosensing and bioanalysis techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.