Literature DB >> 28520405

Morphology-Driven Control of Metabolite Selectivity Using Nanostructure-Initiator Mass Spectrometry.

Jian Gao1, Katherine B Louie1, Philipp Steinke2, Benjamin P Bowen1, Markus de Raad1, Ronald N Zuckermann, Gary Siuzdak3, Trent R Northen1.   

Abstract

Nanostructure-initiator mass spectrometry (NIMS) is a laser desorption/ionization analysis technique based on the vaporization of a nanostructure-trapped liquid "initiator" phase. Here we report an intriguing relationship between NIMS surface morphology and analyte selectivity. Scanning electron microscopy and spectroscopic ellipsometry were used to characterize the surface morphologies of a series of NIMS substrates generated by anodic electrochemical etching. Mass spectrometry imaging was applied to compare NIMS sensitivity of these various surfaces toward the analysis of diverse analytes. The porosity of NIMS surfaces was found to increase linearly with etching time where the pore size ranged from 4 to 12 nm with corresponding porosities estimated to be 7-70%. Surface morphology was found to significantly and selectively alter NIMS sensitivity. The small molecule (<2k Da) sensitivity was found to increase with increased porosity, whereas low porosity had the highest sensitivity for the largest molecules examined. Estimation of molecular sizes showed that this transition occurs when the pore size is <3× the maximum of molecular dimensions. While the origins of selectivity are unclear, increased signal from small molecules with increased surface area is consistent with a surface area restructuring-driven desorption/ionization process where signal intensity increases with porosity. In contrast, large molecules show highest signal for the low-porosity and small-pore-size surfaces. We attribute this to strong interactions between the initiator-coated pore structures and large molecules that hinder desorption/ionization by trapping large molecules. This finding may enable us to design NIMS surfaces with increased specificity to molecules of interest.

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Year:  2017        PMID: 28520405     DOI: 10.1021/acs.analchem.7b00599

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  2 in total

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Authors:  Han-Wei Chu; Binesh Unnikrishnan; Anisha Anand; Ju-Yi Mao; Chih-Ching Huang
Journal:  J Food Drug Anal       Date:  2018-08-14       Impact factor: 6.157

2.  Ecosystem Fabrication (EcoFAB) Protocols for The Construction of Laboratory Ecosystems Designed to Study Plant-microbe Interactions.

Authors:  Jian Gao; Joelle Sasse; Kyle M Lewald; Kateryna Zhalnina; Lloyd T Cornmesser; Todd A Duncombe; Yasuo Yoshikuni; John P Vogel; Mary K Firestone; Trent R Northen
Journal:  J Vis Exp       Date:  2018-04-10       Impact factor: 1.355

  2 in total

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