An efficient and green method for the analysis of synthetic cathinones in whole blood using 96-well electromembrane extraction and LC-MS/MS

Fabris, André L.; Hansen, Frederik A.; Yonamine, Mauricio; Pedersen-Bjergaard, Stig; Øiestad, Elisabeth L.

doi:10.1016/j.scp.2024.101494

Sustainable Chemistry and Pharmacy

2024

DOI: 10.1016/j.scp.2024.101494

|View full text |Cite

An efficient and green method for the analysis of synthetic cathinones in whole blood using 96-well electromembrane extraction and LC-MS/MS

André L. Fabris,

Frederik A. Hansen,

Mauricio Yonamine

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Electromembrane extraction of peptides based on charge, hydrophobicity, and size – A large‐scale fundamental study of the extraction window

Rye,

Lee,

Zellner

et al. 2024

J of Separation Science

View full text Add to dashboard Cite

This study investigated the capability of electromembrane extraction (EME) as a general technique for peptides, by extracting complex pools of peptides comprising in total of 5953 different substances, varying in size from seven to 16 amino acids. Electromembrane extraction was conducted from a sample adjusted to pH 3.0 and utilized a liquid membrane consisting of 2‐nitrophenyl octyl ether and carvacrol (1:1 w/w), containing 2% (w/w) di(2‐ethylhexyl) phosphate. The acceptor phase was 50 mM phosphoric acid (pH 1.8), the extraction time was 45 min, and 10 V was used. High extraction efficiency, defined as a higher peptide signal in the acceptor than the sample after extraction, was achieved for 3706 different peptides. Extraction efficiencies were predominantly influenced by the hydrophobicity of the peptides and their net charge in the sample. Hydrophobic peptides were extracted with a net charge of +1, while hydrophilic peptides were extracted when the net charge was +2 or higher. A computational model based on machine learning was developed to predict the extractability of peptides based on peptide descriptors, including the grand average of hydropathy index and net charge at pH 3.0 (sample pH). This research shows that EME has general applicability for peptides and represents the first steps toward in silico prediction of extraction efficiency.

show abstract

Electromembrane extraction of peptides based on charge, hydrophobicity, and size – A large‐scale fundamental study of the extraction window

Rye,

Lee,

Zellner

et al. 2024

J of Separation Science

View full text Add to dashboard Cite

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

An efficient and green method for the analysis of synthetic cathinones in whole blood using 96-well electromembrane extraction and LC-MS/MS

Cited by 1 publication

References 36 publications

Electromembrane extraction of peptides based on charge, hydrophobicity, and size – A large‐scale fundamental study of the extraction window

Electromembrane extraction of peptides based on charge, hydrophobicity, and size – A large‐scale fundamental study of the extraction window

Contact Info

Product

Resources

About