@inproceedings{HeinrichStollfussJacobsetal.2023, author = {Heinrich, Moritz and Stollfuss, Carsten and Jacobs, Hannes and Di Vona, Maria Luisa and Pizzoferrato, Roberto and Foitzik, Andreas}, title = {A conductivity-based, batch-optimized system for analyzing the total of carbon parameter in water}, series = {NWK 2023 - Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz}, booktitle = {NWK 2023 - Tagungsband zur 23. Nachwuchswissenschaftler*innenkonferenz}, editor = {Stolzenburg, Frieder and Reinboth, Christian and Lohr, Thomas and Vogel, Kathleen}, publisher = {Hochschule Harz}, address = {Wernigerode}, issn = {2627-5708}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:526-opus4-18598}, pages = {15 -- 20}, year = {2023}, abstract = {In cooperation with the company Purification Membranes Analytics GmbH (PMA), a prototype has been developed that analyzes the total organic carbon (TOC) content of water samples based on a complex conductivity measurement. In the process, a batchoptimized system was developed that delivers qualitative results even in highly polluted waters. This method requires small sample volumes and was assembled using an ultrapure water system, a sample mixing system, various electronic control units and a miniTOC system that uses a UV light source to decompose organic carbons and outputs differential values using two conductivity sensors. During the project, a fully automated prototype was developed and is ready for use. In the future, this method could support common methods and lead to more accurate statements on water quality in a cost-effective manner.}, language = {en} }