Nanomaterials-assisted metabolic analysis toward in vitro diagnostics
Jing Yang1,2, Lin Huang3, Kun Qian1,2
1State Key Laboratory for Oncogenes and Related Genes, School of Biomedical Engineering, Institute of Medical Robotics and Med-X Research Institute Shanghai Jiao Tong University Shanghai China.
Exploration (Beijing, China)
|June 16, 2023
Summary
Nanomaterials enhance metabolic analysis for in vitro diagnostics (IVD). This review details their role in detection platforms for disease monitoring and therapeutic guidance, aiding next-generation diagnostic device design.
Area of Science:
- Biomedical Engineering
- Analytical Chemistry
- Materials Science
Background:
- In vitro diagnostics (IVD) are crucial for disease indication and treatment decisions.
- Metabolic analysis offers real-time physiological feedback by characterizing downstream metabolites.
- Nanomaterials are key to developing advanced detection platforms for metabolic analysis.
Purpose of the Study:
- To review recent advancements in nanomaterials-assisted metabolic analysis.
- To explore the applications of these techniques in in vitro diagnostics (IVD).
- To provide insights for designing future diagnostic devices.
Main Methods:
- Coupling nanomaterials with electrochemical sensors, optical spectrometry, and mass spectrometry.
- Utilizing nanomaterials for targeted biomarker quantitation in metabolic analysis.
- Employing nanomaterials for untargeted metabolic fingerprint extraction.
Main Results:
- Nanomaterials significantly improve the performance of detection platforms for metabolic analysis.
- Nanomaterial-based approaches facilitate both specific biomarker detection and comprehensive metabolic profiling.
- These advancements are directly applicable to in vitro diagnostics (IVD).
Conclusions:
- Nanomaterials are integral to high-performance metabolic analysis for IVD.
- This review highlights the versatility of nanomaterials in diagnostic applications.
- Future research can leverage these insights for innovative clinical diagnostic tools.


