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Novel “filter pellet” sample preparation strategy for quantitative LA-ICP-MS analysis of filter-bound sediments: a “green chemistry” alternative to sediment fingerprinting in Tanzania’s Ruvu River basin

  • Sarah C. Jantzi
  • Christopher L. Dutton
  • Amartya Saha
  • Rosemary Masikini
  • Jose R. Almirall
Sediments, Sec 3 • Hillslope and River Basin Sediment Dynamics • Research Article

Abstract

Purpose

The goal of this study was to develop a “green chemistry” alternative sample preparation method for elemental analysis of sediments using laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) to avoid the need for acid digestions. The LA-ICP-PS data are used for sediment fingerprinting (sediment source determination) in order to locate sources of soil erosion and sediment transport into the Ruvu River Basin, the domestic water supply source for East Africa’s largest city, Dar es Salaam, in the United Republic of Tanzania.

Materials and methods

Suspended sediments were collected via filtration at multiple locations along the river for comparison to soil collected from potential sources throughout the watershed. The pellet method commonly used for soil requires approximately 0.5 g (Musil et al. Spectrochim Acta, Pt A: At Spectrosc 55:1747–1758, 2000; Bustamante et al. Spectrochim Acta, Pt A: At Spectrosc 57:303–309, 2002; Mikolas et al. Anal Bioanal Chem 374:244–250, 2002; Lee et al. Spectrochim Acta, Pt A: At Spectrosc 58:523–530Q1, 2003; Hassan et al. Spectrochim Acta, Pt A: At Spectrosc 63:1225–1229, 2008; Jantzi et al. Spectrochim Acta, Pt A: At Spectrosc 115:52–63, 2016). However, on average, less than 0.1 g of sediment was non-uniformly distributed and could not be separated from the filters on which they were collected. Therefore, a novel “filter pellet” method was developed in order to homogenize and pelletize these filter-bound specimens, requiring only 50 mg of sediment on an 86-mg cellulose nitrate membrane filter. A quantitative multi-element LA-ICP-MS analysis method was optimized for the filter pellets. A mixing model was then utilized to apportion the primary sources of sediment composing the suspended sediment samples.

Results and discussion

The analytical performance of the filter pellets was similar to that achieved with the soil pellets. An element menu of 17 elements was obtained with recoveries between 75 and 125%, precision of 10% or less (relative standard deviation), repeatability of 10% or less for duplicate analyses, and limits of detection in the ppb to low ppm range. A significant source of sediments was determined to be coming from an area of particular concern within the Mgeta Catchment of the Ruvu River Basin—the meta-anorthosite complex, which comprises less than 3% of the basin yet contributes up to 10% of the suspended sediment load in the Ruvu River.

Conclusions

A novel sample preparation strategy was developed in which sediments bound to filters were processed into pellets for analysis by LA-ICP-MS (and potentially LIBS). Quantitative multi-element LA-ICP-MS data were generated, of sufficient quality for use in sediment fingerprinting applications without the need for acid digestions. This paper describes the method development and LA-ICP-MS results of the filter pellet method and a brief exploration of the sediment fingerprinting results.

Keywords

Elemental analysis Filters LA-ICP-MS Pellets Sediment fingerprinting Soil Tanzania 

Notes

Acknowledgements

The authors would like to thank the Water Officer of the Wami-Ruvu Basin Water Board, Ms. Praxeda Kalugendo, for facilitating this research. Assistance was provided by the Global Water for Sustainability (GLOWS) team, specifically Mercy Mohammed, Lissvett Vergara, and Vivienne Abbott. James Renatus and Mr. Lema from the Ministry of Water and Irrigation and the Wami-Ruvu Basin Water Board assisted with sampling. The views expressed are those of the authors and do not necessarily reflect the official policy or position of the National Institute of Justice, the US Department of Justice, US Agency for International Development, or the US government. Names of commercial manufacturers are provided for identification purposes only, and inclusion does not imply endorsement of the manufacturer or its products or services.

Funding

Funding for this study was provided by the United States Agency for International Development (USAID) under the Tanzania iWASH program. Funding for SCJ was provided in part by the Doctoral Evidence Acquisition (DEA) and Dissertation Year Fellowships (DYF) at Florida International University (FIU) and by National Institute of Justice grant no. 2009-DN-BX-K252 to FIU.

Supplementary material

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Trace Evidence Analysis Facility, Department of Chemistry and Biochemistry and International Forensic Research InstituteFlorida International UniversityMiamiUSA
  2. 2.Department of Ecology and Evolutionary BiologyYale UniversityNew HavenUSA
  3. 3.MacArthur Agro-Ecology Research Center, Archbold Biological StationLake PlacidUSA
  4. 4.Wami-Ruvu Basin Water Board, Ministry of Water and IrrigationMorogoroUnited Republic of Tanzania
  5. 5.Center for Advanced Research in Forensic Science and Department of Chemistry and BiochemistryFlorida International UniversityMiamiUSA

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