PEFTEC 2021

PEFTEC - Abstract

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Abstract Title: Contaminant monitoring using Total Organic Carbon (TOC) analysis in brine for quality control and asset protection
Abstract Type: Oral
Session Choice: Novel types of PAT sensors (Technologies, Robustness, Sensitivity, Wireless Connectivity and Miniaturisation)
Presenter Name: Ms Jens Neubauer
Company/Organisation: Suez Water Technologies and Solutions Analytical Instruments
Country: United States

Abstract Information :

Many industries need to know the level of organic impurities in saline or brine solutions to ensure product quality, process control, and asset protection. Being able to accurately evaluate the quality of these solutions is key to determining application suitability. This may apply to industries such as, seawater desalination, oil & gas, chlor-alkali, or pharmaceutical/ biopharmaceutical. Selecting Total Organic Carbon (TOC) as a parameter to measure the brine quality is an efficient, robust, and reliable method to assess organic impurities. However, the analytical tool selected must satisfy the chemical compatibility as well as the oxidation efficiency to be conclusive. Recent analytical improvements, method development, and upgrades have enabled accurate and precise TOC analysis in brine solutions even at low levels of TOC.

Several brine solutions from various industries have been studied, ranging from seawater concentration (around 3.5% salts concentration) to saturated sodium chloride solution (30% NaCl) and with TOC levels ranging from below 1 part per million (ppm) to 5ppm were measured and TOC analyzer performances evaluated. Methodology and results are provided for the Sievers InnovOx ES TOC analyzer, which allows brine and saltwater TOC measurement without sample dilution and with relative standard deviation and recovery <±5% at 1ppm TOC. Understanding organic contamination loading, separation, and removal provides valuable information for industrial processes. This is especially important when working with saline solutions where accurately evaluating the quality is both important but also challenging due to the matrix.