Document Type

Article

Publication Date

7-1-2019

Department

Physical & Earth Sciences

Abstract

Covering: up to 2019 The chemistry of nature can be beautiful, inspiring, beneficial and poisonous, depending on perspective. Since the isolation of the first secondary metabolites roughly two centuries ago, much of the chemical research on natural products has been both reductionist and static. Typically, compounds were isolated and characterized from the extract of an entire organism from a single time point. While there could be subtexts to that approach, the general premise has been to determine the chemistry with very little in the way of tools to differentiate spatial and/or temporal changes in secondary metabolite profiles. However, the past decade has seen exponential advances in our ability to observe, measure, and visualize the chemistry of nature in situ. Many of those techniques have been reviewed in this journal, and most are tapping into the power of mass spectrometry to analyze a plethora of sample types. In nearly all of the other techniques used to study chemistry in situ, the element of chromatography has been eliminated, instead using various ionization sources to coax ions of the secondary metabolites directly into the mass spectrometer as a mixture. Much of that science has been driven by the great advances in ambient ionization techniques used with a suite of mass spectrometry platforms, including the alphabet soup from DESI to LAESI to MALDI. This review discusses the one in situ analysis technique that incorporates chromatography, being the droplet-liquid microjunction-surface sampling probe, which is more easily termed "droplet probe". In addition to comparing and contrasting the droplet probe with other techniques, we provide perspective on why scientists, particularly those steeped in natural products chemistry training, may want to include chromatography in in situ analyses. Moreover, we provide justification for droplet sampling, especially for samples with delicate and/or non-uniform topographies. Furthermore, while the droplet probe has been used the most in the analysis of fungal cultures, we digest a variety of other applications, ranging from cyanobacteria, to plant parts, and even delicate documents, such as herbarium specimens.

DOI

10.1039/c9np00019d

First Page

944

Last Page

959

Volume

36

Issue

7

Publication Title

Natural Product Reports

ISSN

02650568

Comments

At the time of publication, Chiraz Soumia M. Amrine was affiliated with The University of North Carolina at Greensboro.

Orginal Citation: Oberlies, N.H., Knowles, S.L., Amrine, C.S.M., Kao, D., Kertesz, V., Raja, H.A. Droplet probe: coupling chromatography to the in situ evaluation of the chemistry of nature. Nat Prod Rep. 2019 Jul 1;36(7):944-959. doi: 10.1039/c9np00019d. Epub 2019 May 21.

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