Quantitative SIMS Imaging of Agar-Based Microbial Communities

Dunham, Sage J. B.; Ellis, Joanna F.; Baig, Nameera F.; Morales-Soto, Nydia; Cao, Tianyuan; Shrout, Joshua D.; Bohn, Paul W.; Sweedler, Jonathan V.

doi:10.1021/acs.analchem.7b05180

Quantitative SIMS Imaging of Agar-Based Microbial Communities

Journal Article · Fri Apr 06 00:00:00 EDT 2018 · Analytical Chemistry

DOI:https://doi.org/10.1021/acs.analchem.7b05180· OSTI ID:1811256

Dunham, Sage J. B. ^[1]; Ellis, Joanna F. ^[2]; Baig, Nameera F. ^[3]; Morales-Soto, Nydia ^[3]; Cao, Tianyuan ^[3]; Shrout, Joshua D. ^[3]; ^[3]; ^[2]

Univ. of Illinois at Urbana-Champaign, IL (United States); University of Notre Dame
Univ. of Illinois at Urbana-Champaign, IL (United States)
Univ. of Notre Dame, IN (United States)

After several decades of widespread use for mapping elemental ions and small molecular fragments in surface science, secondary ion mass spectrometry (SIMS) has emerged as a powerful analytical tool for molecular imaging in biology. Biomolecular SIMS imaging has primarily been used as a qualitative technique; although the distribution of a single analyte can be accurately determined, it is difficult to map the absolute quantity of a compound or even to compare the relative abundance of one molecular species to that of another. We describe a method for quantitative SIMS imaging of small molecules in agar-based microbial communities. The microbes are cultivated on a thin film of agar, dried under nitrogen, and imaged directly with SIMS. By use of optical microscopy, we show that the area of the agar is reduced by 26 ± 2% (standard deviation) during dehydration, but the overall biofilm morphology and analyte distribution are largely retained. We detail a quantitative imaging methodology, in which the ion intensity of each analyte is (1) normalized to an external quadratic regression curve, (2) corrected for isomeric interference, and (3) filtered for sample-specific noise and lower and upper limits of quantitation. The end result is a two-dimensional surface density image for each analyte. The sample preparation and quantitation methods are validated by quantitatively imaging four alkyl-quinolone and alkyl-quinoline N-oxide signaling molecules (including Pseudomonas quinolone signal) in Pseudomonas aeruginosa colony biofilms. Here, we show that the relative surface densities of the target biomolecules are substantially different from values inferred through direct intensity comparison and that the developed methodologies can be used to quantitatively compare as many ions as there are available standards.

View Accepted Manuscript (DOE)

Research Organization:: Univ. of Notre Dame, IN (United States)

Sponsoring Organization:: USDOE

Grant/Contract Number:: AC05-00OR22725

OSTI ID:: 1811256

Journal Information:: Analytical Chemistry, Journal Name: Analytical Chemistry Journal Issue: 9 Vol. 90; ISSN 0003-2700

Publisher:: American Chemical Society (ACS)Copyright Statement

Country of Publication:: United States

Language:: English

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