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Mass spectrometry imaging (MSI) has made the spatio-chemical characterization of a broad range of small-molecule metabolites within biological tissues possible. However, available matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) suffers from severe background interferences in low-mass ranges and inhomogeneous matrix deposition. Thus, surface-assisted LDI-MS (SALDI-MS) has been an attractive alternative for high-sensitivity detection and imaging of small biomolecules. In this study, we construct a new composite substrate, hydrophobic polydopamine (hPDA)-modified TiO2 nanotube (TDNT) coated with plasmonic gold nanoparticle (AuNP-hPDA-TDNT), as a dual-polarity SALDI substrate using an easy and cost-effective fabrication approach. Benefitting from the synergistic effects of TDNT semiconductor and plasmonic PDA modification, this SALDI substrate exhibits superior performance for dual-polarity detection of a vast diversity of small molecules. Highly reduced background interferences, lower detection limits, and spot-to-spot repeatability can be achieved using AuNP-hPDA-TDNT substrates. Due to its unique imprinting performance, various metabolites and lipids can be visualized within jatropha integerrima petals, ginkgo leaves, strawberry fruits, and latent fingerprints. More valuably, the universality of this matrix-free substrate is demonstrated for mapping spatial distribution of lipids within mouse brain tissue sections. Considered together, this AuNP-hPDA-TDNT material is expected to be a promising SALDI substrate in various fields, especially in nanomaterial development and life sciences.

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Publication history
Copyright
Acknowledgements

Publication history

Received: 10 July 2022
Revised: 11 August 2022
Accepted: 15 August 2022
Published: 26 August 2022
Issue date: February 2023

Copyright

© Tsinghua University Press 2022

Acknowledgements

Acknowledgements

We gratefully acknowledge the financial support from the National Natural Science Foundation of China (Nos. 31901911 and 21904142), and the Natural Science Foundation of Guangdong Province (Nos. 2019A1515011521 and 2022A1515011385). This work is also supported by the Young Talent Support Project of Guangzhou Association for Science and Technology (No. QT20220101031).

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