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A vacuum-compatible polymer coating for stabilizing nanoparticles and volatile compounds in vMALDI-MS analysis.

Created on 29 Oct 2026

Authors

Tianci Huo, Yang Shao, Zhaoke Tang, Xin Zhou, Xiaoyuan Hu, Xingchen Huang, Linhui Liu, Xue Feng, Hongying Zhong

Published in

Analytica chimica acta. Volume 1425. Pages 346300. Dec 01, 2026. Epub Sep 21, 2026.

Abstract

Matrix-assisted laser desorption ionization mass spectrometry operated under high vacuum (vMALDI-MS) enables molecular analysis and spatial mapping of metabolites in biological tissues through protonation or deprotonation mechanism. However, its application is constrained by matrix sublimation under high vacuum and low ionization efficiency for redox-active species lacking labile protons. We developed a vacuum-compatible polymer coating for vMALDI-MS adaptable to two complementary ionization strategies, deprotonation using the volatile proton sponge 1, 8-bis(dimethylamino)naphthalene (DMAN) for acidic metabolites, and electron-transfer ionization on (Bi2O3)0·07(CoO)0·03(ZnO)0.9 nanoparticles for redox-active species without labile protons. Polyvinyl alcohol (PVA) is introduced to form a protective thin film that concurrently prevents nanoparticle dispersion during laser ablation, suppresses organic matrix sublimation, and preserves tissue integrity. A home-built ThermoSonic FilmMaster was established for the deposition of both organic matrices and inorganic nanoparticles. We validated this approach using standard compounds and tissue homogenates, in which volatile short-chain fatty acids, indole derivatives, and aldehydes were putatively annotated by accurate mass matching. We further applied it to image brain sections from 4T1 tumor-bearing mice, where less volatile metabolites such as long-chain fatty acids and lipids were spatially resolved. This approach complements ambient ionization techniques and provides a coating approach for stabilizing nanoparticles and volatile compounds in vMALDI-MS analysis.

PMID:
42951538
Bibliographic data and abstract were imported from PubMed on 29 Oct 2026.

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