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Updated: May 1, 2026

Seawater Sampling and Collection
Published on: June 17, 2009
Synthesis and physical properties characterization of artificial seawater samples
Ana Rousseva1, Ali M Alasmari2, Ratul Das2
14700 King Abdullah University of Science and Technology, Thuwal 23955, Saudi Arabia.
This study presents synthesized artificial seawater with high salinity (36,052-80,027 ppm), detailing its ionic composition and physical properties. The data supports developing models and calibrating instruments for high-salinity environments like engineered seawater systems.
Area of Science:
- Oceanography and Marine Chemistry
- Environmental Science
- Materials Science
Background:
- Standard artificial seawater compositions are limited to typical oceanic salinity ranges.
- Accurate physical property data for high-salinity artificial seawater is scarce, hindering research and development.
- Existing seawater property models may not accurately extrapolate to salinities exceeding 80,000 ppm.
Purpose of the Study:
- To synthesize and characterize artificial seawater samples across an extended salinity range (36,052–80,027 ppm).
- To provide a comprehensive dataset of measured physical properties (density, conductivity, pH, osmolality) linked to detailed preparation metadata.
- To validate the ionic composition of synthesized samples using ICP-OES.
Main Methods:
- Artificial seawater synthesized following ASTM D1141-98, using a total dissolved solids (TDS) scaling approach for ionic ratios.
- Physical properties measured include density, electrical conductivity, pH, and osmolality.
- Ionic composition validated via inductively coupled plasma optical emission spectroscopy (ICP-OES) for key elements.
Main Results:
- A dataset of synthesized artificial seawater samples with precisely defined absolute salinity (SA) and major ionic composition was generated.
- Experimentally measured physical properties (density, conductivity, pH, osmolality) are reported for the synthesized samples.
- ICP-OES confirmed the synthesized ionic composition across the full salinity range.
Conclusions:
- The dataset enables the derivation of empirical relationships between absolute salinity (or TDS) and thermophysical properties.
- This data supports the evaluation and extension of seawater property models for high-salinity conditions.
- The findings provide high-quality reference data crucial for desalination, sensor development, and instrument calibration.
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