Porous COF@cMOF Heterojunction‐Assisted Laser Desorption/Ionization Mass Spectrometry for Enhanced Breast‐Cancer Serum Metabolomic Screening

Y Yingxue Jin (College of Chemistry Fuzhou University Fuzhou Fujian 350116 China) P Pengjun Qiu Q Qi Wen (Shaanxi Key Laboratory of Macromolecular Science and Technology, Xi’an Key Laboratory of Hybrid Luminescent Materials and Photonic Device, MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions, School of Chemistry and Chemical Engineering) J Jinni Zhang (State Key Laboratory of Chemistry for NBC Hazards Protection College of Chemistry Fuzhou University Fuzhou China) Y Yujing Liu Y Ying Sun J Jianping Zheng (Laboratory of Advanced Theranostic Materials and Technology) Y Yanhui Zhong L Lei Guo (Quantitative Biomedical Research Center, Department of Health Science & Biostatistics, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.) Z Zian Lin (College of Chemistry Fuzhou University Fuzhou Fujian 350116 China)

Abstract

ABSTRACT Early breast‐cancer (BC) screening requires reliable molecular information from minimally invasive samples, yet sensitive detection of small‐molecule metabolites in complex biofluids remains challenging. Herein, a structurally well‐defined porous heterojunction matrix, COF316@CuHHTP, is developed through an in situ epitaxial‐growth strategy for serum metabolomic screening. Porous and chemically robust COF316 serves as the core scaffold, while conductive CuHHTP forms a coherent shell for interfacial charge mediation. The resulting heterojunction enables efficient small‐molecule capture and directional transport through the channels, while enhanced photothermal conversion and optimized charge transport collectively improve desorption/ionization efficiency and sensitivity for small‐molecule metabolites. Consequently, COF316@CuHHTP enables sensitive and robust laser desorption/ionization mass spectrometry (LDI‐MS) analysis, with the maximum signal‐to‐noise (S/N) enhancement reaching ∼194‐fold, ultralow limits of detection (LODs) down to the pmol level, and strong tolerance to high‐salt and protein‐rich conditions. Applied to serum analysis, this platform enables BC diagnosis with excellent discriminatory performance (AUC = 0.996) and identifies 20 disease‐associated metabolic signatures.

Article Details

Volume / Issue Vol. 1, Issue 1
Published August 12, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (10)

Y

Yingxue Jin

College of Chemistry Fuzhou University Fuzhou Fujian 350116 China

P

Pengjun Qiu

Q

Qi Wen

Shaanxi Key Laboratory of Macromolecular Science and Technology, Xi’an Key Laboratory of Hybrid Luminescent Materials and Photonic Device, MOE Key Laboratory of Material Physics and Chemistry under Extraordinary Conditions, School of Chemistry and Chemical Engineering

J

Jinni Zhang

State Key Laboratory of Chemistry for NBC Hazards Protection College of Chemistry Fuzhou University Fuzhou China

Y

Yujing Liu

Y

Ying Sun

J

Jianping Zheng

Laboratory of Advanced Theranostic Materials and Technology

Y

Yanhui Zhong

L

Lei Guo

Quantitative Biomedical Research Center, Department of Health Science & Biostatistics, Peter O’Donnell Jr. School of Public Health, University of Texas Southwestern Medical Center, Dallas, TX, USA.

Z

Zian Lin

College of Chemistry Fuzhou University Fuzhou Fujian 350116 China