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Updated: Jan 20, 2026

Generation of Tissue Spheroids via a 3D Printed Stamp-Like Device
Published on: October 6, 2022
A 3D printing-based portable photoelectrochemical sensing device using a digital multimeter.
Kangyao Zhang1, Shuzhen Lv1, Dianping Tang1
1Key Laboratory for Analytical Science of Food Safety and Biology (MOE & Fujian Province), State Key Laboratory of Photocatalysis on Energy and Environment, Department of Chemistry, Fuzhou University, Fuzhou 350108, P. R. China. dianping.tang@fzu.edu.cn.
A novel, portable sensor uses 3D printing and liposomes for enzyme-free detection of cancer biomarkers like carcinoembryonic antigen (CEA). This method offers accurate, accessible monitoring for early disease detection.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Materials Science
Background:
- Accurate monitoring of cancer biomarkers is crucial for early diagnosis and treatment.
- Existing methods often require complex procedures, expensive equipment, or enzymes, limiting accessibility.
- There is a need for simple, portable, and cost-effective sensing platforms.
Purpose of the Study:
- To develop a novel, enzyme-free, and portable photoelectrochemical sensing method.
- To utilize a homemade three-dimensional (3D) printing device for sensor fabrication.
- To accurately detect low-abundance cancer biomarkers, using carcinoembryonic antigen (CEA) as a model.
Main Methods:
- Fabrication of a 3D printed device for photoelectrochemical sensing.
- Encapsulation of glucose within liposomes for signal amplification.
- Coupling the sensor with a digital multimeter for quantitative readout.
- Demonstration of CEA detection using the developed system.
Main Results:
- Successful development of an enzyme-free and portable sensing platform.
- Demonstrated accurate detection of the cancer biomarker CEA.
- The 3D printing approach enabled a customizable and accessible device.
- The liposome-based signal amplification enhanced sensitivity.
Conclusions:
- The developed 3D printed photoelectrochemical sensor offers a promising tool for sensitive and portable cancer biomarker detection.
- This enzyme-free approach simplifies the sensing process and reduces costs.
- The method holds potential for widespread application in clinical diagnostics and point-of-care testing.
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