Machine Learning for Absolute Quantification of Unidentified Compounds in Non-Targeted LC/HRMS
LC/ESI/HRMS is increasingly employed for monitoring chemical pollutants in water samples, with non-targeted analysis becoming more common. Unfortunately, due to the lack of analytical standards, non-targeted analysis is mostly qualitative. To remedy this, models have been developed to evaluate the r...
Main Authors: | Emma Palm, Anneli Kruve |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
|
Series: | Molecules |
Subjects: | |
Online Access: | https://www.mdpi.com/1420-3049/27/3/1013 |
Similar Items
-
Guide to Semi-Quantitative Non-Targeted Screening Using LC/ESI/HRMS
by: Louise Malm, et al.
Published: (2021-06-01) -
Extended Targeted and Non-Targeted Strategies for the Analysis of Marine Toxins in Mussels and Oysters by (LC-HRMS)
by: Inès Dom, et al.
Published: (2018-09-01) -
The In Vitro Inhibitory Effect of Selected Asteraceae Plants on Pancreatic Lipase Followed by Phenolic Content Identification through Liquid Chromatography High Resolution Mass Spectrometry (LC-HRMS)
by: Aristeidis S. Tsagkaris, et al.
Published: (2022-09-01) -
What is in the fish? Collaborative trial in suspect and non-target screening of organic micropollutants using LC- and GC-HRMS
by: Wiebke Dürig, et al.
Published: (2023-11-01) -
Multi-Target Analysis and Suspect Screening of Xenobiotics in Milk by UHPLC-HRMS/MS
by: Mikel Musatadi, et al.
Published: (2021-01-01)