Chemical‐Sensing Catheters for Long‐Term and Personalized Therapeutic Management

Y Yiran Li X Xinyin Cao (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) Q Qianming Li X Xinyu Liu H Haifeng Sun Y Yiding Jiao (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) G Guanheng Huang L Linfeng Han (School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China) J Jiang Lu K Kuangyi Zou (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) D Dan Li W Wenxuan Guo T Tingting Ye (Key Laboratory of Materials Physics) J Jiacheng Wang (Zhejiang Key Laboratory for Island Green Energy and New Materials, Institute of Electrochemistry, School of Materials Science and Engineering) E Er He (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) F Fangyan Li Y Yuanzhen Wang (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) S Shuo Yang (Department of Polymer Science & Engineering, State Key Laboratory of Analytical Chemistry for Life Science, MOE Key Laboratory of High Performance Polymer Materials and Technology, School of Chemistry) C Chenyu Bai (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) J Jie Song (Hangzhou Institute of Medicine) X Xusong Li (National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China) H Hanting Zhang (Duke Univeristy, Durham, North Carolina, United States) H Haidong Wang Y Yuxia Zhang Y Ye Zhang

Abstract

ABSTRACT Long‐term intravenous catheterization is vital for delivering chemotherapy to cancer patients and parenteral nutrition to those with intestinal failure, but it inevitably leads to complications, including metabolic disorders, bloodstream infection, liver injury, and kidney injury. Clinical monitoring methods show notable delays, while real‐time blood monitoring devices fail to ensure long‐term stability in vivo. Here, we present a chemical‐sensing catheter that integrates multiple analyte sensors, including creatinine, taurocholic acid, bilirubin, and taurine, for real‐time monitoring of complications in patients receiving long‐term chemotherapy or parenteral nutrition in situ. The design of the metalgel preserves signal integrity through 1 million bending deformations, and a dual‐network molecularly imprinted polymer suppresses in vivo performance degradation, enabling stable long‐term operation of the chemical‐sensing catheter over a 3 month implantation period. In chemotherapy and parenteral nutrition applications, early monitoring of liver and kidney injury, combined with prognostic intervention, mitigates risks such as bile stasis, hepatitis, and hepatic steatosis. With the integration of machine learning analysis of multimodal sensor data, this technology provides early prediction of complications and establishes a new paradigm for personalized therapeutic management.

Article Details

Volume / Issue Vol. 1, Issue 1
Published July 22, 2026
ISSN 0935-9648
Publisher Unknown Publisher

Journal Info

Advanced Materials

Unknown Publisher

ISSN: 0935-9648 Physical Sciences

Authors (25)

Y

Yiran Li

X

Xinyin Cao

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

Q

Qianming Li

X

Xinyu Liu

H

Haifeng Sun

Y

Yiding Jiao

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

G

Guanheng Huang

L

Linfeng Han

School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu China

J

Jiang Lu

K

Kuangyi Zou

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

D

Dan Li

W

Wenxuan Guo

T

Tingting Ye

Key Laboratory of Materials Physics

J

Jiacheng Wang

Zhejiang Key Laboratory for Island Green Energy and New Materials, Institute of Electrochemistry, School of Materials Science and Engineering

E

Er He

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

F

Fangyan Li

Y

Yuanzhen Wang

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

S

Shuo Yang

Department of Polymer Science & Engineering, State Key Laboratory of Analytical Chemistry for Life Science, MOE Key Laboratory of High Performance Polymer Materials and Technology, School of Chemistry

C

Chenyu Bai

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

J

Jie Song

Hangzhou Institute of Medicine

X

Xusong Li

National Laboratory of Solid‐State Microstructures Jiangsu Key Laboratory of Artificial Functional Materials Chemistry and Biomedicine Innovation Center Collaborative Innovation Center of Advanced Microstructures College of Engineering and Applied Sciences Nanjing University Nanjing China

H

Hanting Zhang

Duke Univeristy, Durham, North Carolina, United States

H

Haidong Wang

Y

Yuxia Zhang

Y

Ye Zhang