Literature DB >> 31402422

Analytics 4.0: Online wastewater monitoring by GC and HPLC.

Monika Wortberg1, Joachim Kurz2.   

Abstract

We present an automatically and autonomously operating online laboratory equipped with laboratory chromatographs as an example of Analytics 4.0. At BASF's largest production site in Ludwigshafen, Germany, multiple GC, HPLC, and IC systems are used in a mostly unstaffed laboratory for automated wastewater monitoring. The purpose of the online system is to prevent unwanted discharges of organic compounds into the wastewater treatment plant and thus protection of the river Rhine. By use of different chromatography and sample preparation techniques, a wide spectrum of compounds can be quantitatively assessed. Most analyzers are coupled to mass spectrometers, and all are equipped with robotic autosamplers. Mixed wastewater samples are collected automatically at 20-min intervals and distributed to the instruments. To operate the online system 24/7, sensors, visualization tools, special software packages, remote access tools, and other assistance systems are required. Many of the software features are as yet not commercially available and thus had to be developed and programmed in-house since they are required in an Analytics 4.0 environment.

Keywords:  Analytics 4.0; Gas chromatography; Liquid chromatography; Mass spectrometry; Online analytics; Wastewater

Year:  2019        PMID: 31402422     DOI: 10.1007/s00216-019-02065-w

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  2 in total

1.  Possibilities of Real Time Monitoring of Micropollutants in Wastewater Using Laser-Induced Raman & Fluorescence Spectroscopy (LIRFS) and Artificial Intelligence (AI).

Authors:  Claudia Post; Niklas Heyden; André Reinartz; Aaron Foerderer; Simon Bruelisauer; Volker Linnemann; William Hug; Florian Amann
Journal:  Sensors (Basel)       Date:  2022-06-21       Impact factor: 3.847

2.  An Approach for In Situ Rapid Detection of Deep-Sea Aromatic Amino Acids Using Laser-Induced Fluorescence.

Authors:  Ranran Du; Dingtian Yang; Guangjia Jiang; Youren Song; Xiaoqing Yin
Journal:  Sensors (Basel)       Date:  2020-02-29       Impact factor: 3.576

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.