Hollow multishelled heterostructures with enhanced performance for laser desorption/ionization mass spectrometry based metabolic diagnosis.
Congcong PeiRui SuSongting LuXiaonan ChenYajie DingRongxin LiWeikang ShuYu ZengYingying LinLiang XuYuqiang MiJingjing WanPublished in: Journal of materials chemistry. B (2023)
High-performance metabolic diagnosis-based laser desorption/ionization mass spectrometry (LDI-MS) improves the precision diagnosis of diseases and subsequent treatment. Inorganic matrices are promising for the detection of metabolites by LDI-MS, while the structure and component impacts of the matrices on the LDI process are still under investigation. Here, we designed a multiple-shelled ZnMn 2 O 4 /(Co, Mn)(Co, Mn) 2 O 4 (ZMO/CMO) as the matrix from calcined MOF-on-MOF for detecting metabolites in LDI-MS and clarified the synergistic impacts of multiple-shells and the heterostructure on LDI efficiency. The ZMO/CMO heterostructure allowed 3-5 fold signal enhancement compared with ZMO and CMO with the same morphology. Furthermore, the ZMO/CMO heterostructure with a triple-shelled hollow structure displayed a 3-fold signal enhancement compared to its nanoparticle counterpart. Taken together, the triple-shelled hollow ZMO/CMO exhibits 102-fold signal enhancement compared to the commercial matrix products ( e.g. , DHB and DHAP), allowing for sensitive metabolic profiling in bio-detection. We directly extracted metabolic patterns by the optimized triple-shelled hollow ZMO/CMO particle-assisted LDI-MS within 1 s using 100 nL of serum and used machine learning as the readout to distinguish hepatocellular carcinoma from healthy controls with the area under the curve value of 0.984. Our approach guides us in matrix design for LDI-MS metabolic analysis and drives the development of a nanomaterial-based LDI-MS platform toward precision diagnosis.
Keyphrases
- mass spectrometry
- ms ms
- metal organic framework
- liquid chromatography
- multiple sclerosis
- gas chromatography
- machine learning
- high performance liquid chromatography
- high resolution
- capillary electrophoresis
- molecularly imprinted
- room temperature
- single cell
- deep learning
- artificial intelligence
- tandem mass spectrometry
- loop mediated isothermal amplification
- cancer therapy