3D printing revolutionizes mass spectrometry
Shanghai Jiao Tong University Journal Center
image: Scheme 1. Current innovations of 3D printing for mass spectrometry (MS) and their biomedical applications
Credit: Wei Chen, Bo-chao Zhang, Magdalena M. Stevanović, Lin Huang, Kun Qian.
Key Points:
1. 3D Printing Enhances MS Capabilities
Mass spectrometry (MS) is a powerful tool for molecular analysis but faces challenges like high costs, limited portability, and complex sample prep.
3D printing offers cost-effective, customizable, and rapid prototyping solutions to overcome these limitations, enabling innovative MS designs.
2. Applications Across MS Techniques
a) LC/GC-MS: 3D-printed solid-phase extraction (SPE) devices and microfluidic chips streamline sample prep, improving sensitivity and throughput for metabolomics, proteomics, and drug analysis.
b) Ambient Ionization MS (AIMS): Custom 3D-printed ion sources, sample inlets, and ion guides enhance portability and real-time detection of drugs, metabolites, and proteins.
c) MALDI-MS: 3D-printed target plates and automated matrix handlers boost reproducibility and enable high-throughput spatial omics (e.g., cancer metabolism imaging).
3. Advantages Over Traditional Methods
· Cost Reduction: Replaces expensive components (e.g., metal ion sources) with affordable printed alternatives.
· Customization: Tailors devices for specific analytes (e.g., honeycomb SPE structures for pesticides).
· Portability: Enables compact, field-deployable MS systems (e.g., for point-of-care diagnostics).
Future Directions
Material Innovation: Nanocomposite-doped prints (e.g., graphene, MoS₂) to improve conductivity and sensitivity.
Integration: Combining 3D-printed sample prep, ionization, and detection into unified workflows.
Automation: High-throughput systems for multi-omics (proteomics, metabolomics) using hybrid printed devices.
Conclusion:
3D printing is transforming MS into a more accessible, versatile, and precise tool for biomedical research—from drug development to clinical diagnostics. By bridging gaps in cost, customization, and portability, it paves the way for next-gen analytical platforms.
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