Publication Date:
2022-05-25
Description:
Author Posting. © The Author(s), 2018. This is the author's version of the work. It is posted here under a nonexclusive, irrevocable, paid-up, worldwide license granted to WHOI. It is made available for personal use, not for redistribution. The definitive version was published in Analytical Chemistry 90 (2018): 12559–12566, doi:10.1021/acs.analchem.8b02638.
Description:
Identifying and mapping the wide range of sulfur species within complex matrices presents a challenge for under-standing the distribution of these important biomolecules within environmental and biological systems. Here, we present a coupled micro X-ray fluorescence (μXRF) and X-ray absorption near edge structure (XANES) spectroscopy method for determining the presence of specific sulfur species in coral tissues and skeletons at high spatial resolution. By using multiple energy stacks and principal component analysis of a large spectral database, we were able to more accurately identify sulfur species components and distinguish different species and distributions of sulfur formerly unresolved by previous studies. Specifically, coral tissues were domi-nated by more reduced sulfur species, such as glutathione disulfide, cysteine and sulfoxide, as well as organic sulfate as represented by chondroitin sulfate. Sulfoxide distributions were visually correlated with the presence of zooxanthellae endosymbionts. Coral skeletons were composed primarily of carbonate-associated sulfate (CAS), along with minor contributions from organic sulfate and a separate inorganic sulfate likely in the form of adsorbed sulfate. This coupled XRF-XANES approach allows for a more accurate and informative view of sulfur within biological systems in situ, and holds great promise for pairing with other techniques to allow for a more encompassing understanding of elemental distributions within the environment.
Description:
We thank Ray Dalio for funding the Micronesian expedition and K. Hughen,This material is based upon work supported by the Na-tional Science Foundation Graduate Research Fellowship under Grant No. 1122374 and a Ford Foundation Dissertation Fellowship for Gabriela Farfan.
Repository Name:
Woods Hole Open Access Server
Type:
Preprint
Permalink