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具有增强的激光解吸/电离质谱代谢诊断性能的中空多壳层杂化结构。

Hollow multishelled heterostructures with enhanced performance for laser desorption/ionization mass spectrometry based metabolic diagnosis.

机构信息

School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, 200241, P. R. China.

Tianjin Second People's Hospital, Tianjin Medical University, Tianjin 300192, China.

出版信息

J Mater Chem B. 2023 Aug 30;11(34):8206-8215. doi: 10.1039/d3tb00766a.

Abstract

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 ZnMnO/(Co, Mn)(Co, Mn)O (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 (, 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.

摘要

基于高性能代谢诊断的激光解吸/电离质谱(LDI-MS)提高了疾病的精确诊断和随后的治疗效果。无机基质在 LDI-MS 中对代谢物的检测具有很大的应用潜力,然而基质对 LDI 过程的结构和成分影响仍在研究中。在这里,我们设计了一种多壳层的 ZnMnO/(Co, Mn)(Co, Mn)O(ZMO/CMO)作为基质,来源于煅烧的 MOF-on-MOF,用于在 LDI-MS 中检测代谢物,并阐明了多壳层和异质结构对 LDI 效率的协同影响。ZMO/CMO 异质结构与具有相同形态的 ZMO 和 CMO 相比,信号增强了 3-5 倍。此外,与纳米粒子相比,具有三层空心结构的 ZMO/CMO 异质结构的信号增强了 3 倍。总之,与商业基质产品(,DHB 和 DHAP)相比,三层空心 ZMO/CMO 的信号增强了 102 倍,可用于生物检测中的灵敏代谢分析。我们使用优化后的三层空心 ZMO/CMO 颗粒辅助 LDI-MS 在 1 s 内直接从 100 nL 的血清中提取代谢模式,并使用机器学习作为读出方法,以 0.984 的曲线下面积区分肝癌和健康对照者。我们的方法指导了 LDI-MS 代谢分析中的基质设计,并推动了基于纳米材料的 LDI-MS 平台向精准诊断的发展。

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