Real-time, on-line monitoring of organic chemical reactions using extractive electrospray ionization tandem mass spectrometry.

Rapid Commun Mass Spectrom

Department of Chemistry and Applied Biosciences, ETH Zurich, CH-8093 Zurich, Switzerland.

Published: October 2008

Extractive electrospray ionization mass spectrometry (EESI-MS) for real-time monitoring of organic chemical reactions was demonstrated for a well-established pharmaceutical process reaction and a widely used acetylation reaction in the presence of a nucleophilic catalyst, 4-dimethylaminopyridine (4-DMAP). EESI-MS provides real-time information that allows us to determine the optimum time for terminating the reaction based on the relative intensities of the precursors and products. In addition, tandem mass spectrometric (MS/MS) analysis via EESI-MS permits on-line validation of proposed reaction intermediates. The simplicity and rapid response of EESI-MS make it a valuable technique for on-line characterization and full control of chemical and pharmaceutical reactions, resulting in maximized product yield and minimized environmental costs.

Download full-text PDF

Source
http://dx.doi.org/10.1002/rcm.3700DOI Listing

Publication Analysis

Top Keywords

monitoring organic
8
organic chemical
8
chemical reactions
8
extractive electrospray
8
electrospray ionization
8
tandem mass
8
mass spectrometry
8
eesi-ms real-time
8
real-time on-line
4
on-line monitoring
4

Similar Publications

Aminopolyphosphonates (APPs) are widely used as chelating agents, and their increasing release into the environment has raised concerns due to their transformation into aminomethylphosphonic acid (AMPA) and glyphosate, compounds of controversial environmental impact. This transformation highlights the urgent need for detailed studies under controlled conditions. Despite the availability of various methods for quantifying individual aminopolyphosphonates and aminomonophosphonates, a green, low-cost approach for the simultaneous quantification of APPs and their transformation products in laboratory experiments has been lacking.

View Article and Find Full Text PDF

Risk characterization of organic micropollutants in public wastewater treatment plant effluents in Flanders, Belgium.

Integr Environ Assess Manag

January 2025

GhEnToxLab, Department of Animal Science and Aquatic Ecology, Ghent University, Ghent, Belgium.

This study investigates the ecological risks posed by organic micropollutants (OMPs) in wastewater treatment plant (WWTP) effluents in Flanders, Belgium based on single-compound risk characterization. Utilizing a five-year monitoring dataset from the Flemish Environment Agency (VMM) and employing seven ecological threshold values (ETV) types, this research characterizes the risk of 207 OMPs, including pharmaceuticals, pesticides, industrial chemicals, and other pollutants. Several OMPs persist in effluents at concentrations that pose significant ecological risks after secondary and tertiary treatment processes in the region of Flanders (Belgium).

View Article and Find Full Text PDF

Microplastics (MPs) have been detected in various environmental matrices, drinking water, and food, and their presence is an ecological and human health concern. Most research on MPs has focused solely on their detection and analysis. However, sample pretreatment methods are critical for accurate MP analysis and must be properly established.

View Article and Find Full Text PDF

Adsorption and Separation by Flexible MOFs.

Adv Mater

January 2025

Chair of Inorganic Chemistry I, Technische Universität Dresden, Bergstrasse 66, 01069, Dresden, Germany.

Flexible metal-organic frameworks (MOFs) offer unique opportunities due to their dynamic structural adaptability. This review explores the impact of flexibility on gas adsorption, highlighting key concepts for gas storage and separation. Specific examples demonstrate the principal effectiveness of flexible frameworks in enhancing gas uptake and working capacity.

View Article and Find Full Text PDF

Typhoon localization detection algorithm based on TGE-YOLO.

Sci Rep

January 2025

College of Mathematics and Computer Science, Guangdong Ocean University, Zhanjiang, 524088, China.

To address the problems of complex cloud features in satellite cloud maps, inaccurate typhoon localization, and poor target detection accuracy, this paper proposes a new typhoon localization algorithm, named TGE-YOLO. It is based on the YOLOv8n model with excellent high-low feature fusion capability and innovatively achieves the organic combination of feature fusion, computational efficiency, and localization accuracy. Firstly, the TFAM_Concat module is creatively designed in the neck network, which comprehensively utilizes the detailed information of shallow features and the semantic information of deeper features, enhancing the fusion ability of features at each layer.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!