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8900 icp ms

Manufactured by Agilent Technologies
Sourced in United States

The Agilent 8900 ICP-MS is an inductively coupled plasma mass spectrometer designed for high-performance elemental analysis. It provides reliable and precise measurements of trace elements in a wide range of sample types.

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4 protocols using 8900 icp ms

1

Laser Ablation ICP-MS for Elemental Analysis

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Seven-μm paraffin sections were cut with a Feather S35 stainless steel disposable microtome blade and deparaffinised. Sections were subjected to LA-ICP-MS for iron (Fe), phosphorus (P, to assess nuclear density [3 (link)]), mercury (Hg), silver (Ag), aluminium (Al), gold (Au), bismuth (Bi), cadmium (Cd), chromium (Cr), nickel (Ni) and lead (Pb). Analyses were carried out on an LSX-213 G2+ laser (Teledyne Cetac) hyphenated to an Agilent Technologies 8900 ICP-MS, with argon used as the carrier gas. LA-ICP-MS conditions were optimised on NIST 612 Trace Element in Glass CRM and the sample was ablated with a 50 μm spot size and a scan speed of 100 μm/s at a frequency of 20 Hz. The data were collated into a single image file using in-house developed software and visualised using FIJI. Based on relative abundance, the amounts of elements in tissues were classified qualitatively as being either not detected (-), sparse (+) or abundant (++).
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2

Geochemical Analyses of JRBP2018-VC01B

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Major and trace element content of JRBP2018-VC01B was analyzed by inductively coupled plasma mass spectrometry (ICPMS; Supplemental 13). Twenty of the samples analyzed for major and trace element content were also analyzed for lead isotopes (204Pb, 206Pb, 207Pb, and 208Pb). Pb was isolated from bulk rock dissolutions using HBr-based chemistry on AG1x8 anion exchange resin. Samples were analyzed on the Agilent 8900 ICPMS and were corrected for instrumental mass fractionation using sample-standard bracketing with NIST SRM-981. External reproducibility is based on repeated analysis of the USGS BHVO2 basalt standard over the three analytical sessions (n = 8).
For mercury (Hg), samples of ~0.3 g and 0.5 cm thick were collected at 5 cm intervals starting at a base depth of 944.5 cm, and analyzed in triplicate at the Stanford Carnegie Institute Department of Global Ecology by thermal decomposition followed by preconcentration of Hg on a gold trap and cold vapor atomic absorption spectrophotometry using a DMA-80 direct Hg analyzer (Milestone, CT, USA) (Supplemental 14). See Redondo (2022) for further details.
We modeled trends in inorganic geochemical signals using the same GAM modeling method described for organic matter proxies.
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3

Elemental Imaging of Brain Thin Sections

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Brain thin sections of 40 μm were prepared by cryosectioning and mounted onto a microscope slide for elemental imaging by LA-ICP-MS. Slides were not subbed (coated with chromium potassium sulfate to prevent metal contamination. The LA-ICP-MS system used was an ESI Lasers NWR 213 laser ablation unit coupled to an Agilent 8900 ICP-MS operated in O2 reaction mode to enhance detection of S by mass shifting to SO at m/z 48. The laser ‘spot’ size was 50 μm square and the laser scan speed was 250 μm/sec and the laser shot frequency was 20 Hz. The sample was analyzed in a series of line scans with a spacing of 50 μm. The ICP-MS collected data for Al, S, Ca, Cr, Mn, Fe, Ni, Cu, Zn, Se, Cd, Pb with a total acquisition time of 0.2 sec. The raw ICP-MS data was concatenated into an XL sheet, and relative X and Y co-ordinates for each data point were added. The resulting file was then imported into SMAK elemental imaging software to generate 2D elemental images of each section 80 . The images show the relative concentration differences in each element across the thin section as no quantitative calibration was performed during this analysis.
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4

Identifying Metals in Pancreas Tissue

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To confirm which metal autometallography was demonstrating (since autometallography can also detect inorganic silver and bismuth), 7 μm paraffin sections of selected pancreas samples were deparaffinised and subjected to LA-ICP-MS for mercury, silver, bismuth, aluminium, gold, cadmium, chromium, iron, nickel and lead, as well as for zinc to localise islets due to their high zinc levels [20 (link)]. Analyses were carried out on a Teledyne Cetac LSX-213 G2+ laser (Omaha, NE, USA) hyphenated to an Agilent Technologies 8900 ICP-MS (Santa Clara, CL, USA), with argon used as the carrier gas. LA-ICP-MS conditions were optimised on NIST 612 Trace Element in Glass CRM (US Department of Commerce, Gaithersburg, MD, USA) and the sample was ablated with a 50 µm spot size and a scan speed of 100 µm/s at a frequency of 20 Hz. The data were collated into a single image file using in-house developed software and visualised using FIJI open source image processing (LOCI, University of Wisconsin, WI, USA).
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