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Title: Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays

Abstract

Abstract Mass spectrometry imaging (MSI) enables simultaneous spatial mapping for diverse molecules in biological tissues. Matrix‐assisted laser desorption ionization (MALDI) mass spectrometry (MS) has been a mainstream MSI method for a wide range of biomolecules. However, MALDI‐MSI of biological homopolymers used for energy storage and molecular feedstock is limited by, e.g., preferential ionization for certain molecular classes. Matrix‐free nanophotonic ionization from silicon nanopost arrays (NAPAs) is an emerging laser desorption ionization (LDI) platform with ultra‐trace sensitivity and molecular imaging capabilities. Here, we show complementary analysis and MSI of polyhydroxybutyric acid (PHB), polyglutamic acid (PGA), and polysaccharide oligomers in soybean root nodule sections by NAPA‐LDI and MALDI. For PHB, number and weight average molar mass, polydispersity, and oligomer size distributions across the tissue section and in regions of interest were characterized by NAPA‐LDI‐MSI.

Authors:
ORCiD logo [1];  [1]; ORCiD logo [2]; ORCiD logo [1]
  1. Department of Chemistry George Washington University Washington DC 20052 USA
  2. Divisions of Plant Sciences and Biochemistry C. S. Bond Life Sciences Center University of Missouri Columbia MO 65211 USA
Publication Date:
Sponsoring Org.:
USDOE
OSTI Identifier:
1804570
Grant/Contract Number:  
SC0013978
Resource Type:
Publisher's Accepted Manuscript
Journal Name:
Angewandte Chemie (International Edition)
Additional Journal Information:
Journal Name: Angewandte Chemie (International Edition) Journal Volume: 60 Journal Issue: 16; Journal ID: ISSN 1433-7851
Publisher:
Wiley Blackwell (John Wiley & Sons)
Country of Publication:
Germany
Language:
English

Citation Formats

Samarah, Laith Z., Tran, Tina H., Stacey, Gary, and Vertes, Akos. Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays. Germany: N. p., 2021. Web. doi:10.1002/anie.202015251.
Samarah, Laith Z., Tran, Tina H., Stacey, Gary, & Vertes, Akos. Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays. Germany. https://doi.org/10.1002/anie.202015251
Samarah, Laith Z., Tran, Tina H., Stacey, Gary, and Vertes, Akos. Tue . "Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays". Germany. https://doi.org/10.1002/anie.202015251.
@article{osti_1804570,
title = {Mass Spectrometry Imaging of Bio‐oligomer Polydispersity in Plant Tissues by Laser Desorption Ionization from Silicon Nanopost Arrays},
author = {Samarah, Laith Z. and Tran, Tina H. and Stacey, Gary and Vertes, Akos},
abstractNote = {Abstract Mass spectrometry imaging (MSI) enables simultaneous spatial mapping for diverse molecules in biological tissues. Matrix‐assisted laser desorption ionization (MALDI) mass spectrometry (MS) has been a mainstream MSI method for a wide range of biomolecules. However, MALDI‐MSI of biological homopolymers used for energy storage and molecular feedstock is limited by, e.g., preferential ionization for certain molecular classes. Matrix‐free nanophotonic ionization from silicon nanopost arrays (NAPAs) is an emerging laser desorption ionization (LDI) platform with ultra‐trace sensitivity and molecular imaging capabilities. Here, we show complementary analysis and MSI of polyhydroxybutyric acid (PHB), polyglutamic acid (PGA), and polysaccharide oligomers in soybean root nodule sections by NAPA‐LDI and MALDI. For PHB, number and weight average molar mass, polydispersity, and oligomer size distributions across the tissue section and in regions of interest were characterized by NAPA‐LDI‐MSI.},
doi = {10.1002/anie.202015251},
journal = {Angewandte Chemie (International Edition)},
number = 16,
volume = 60,
place = {Germany},
year = {Tue Mar 09 00:00:00 EST 2021},
month = {Tue Mar 09 00:00:00 EST 2021}
}

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