NORMAN guidance on suspect and non-target screening in environmental monitoring
Increasing production and use of chemicals and awareness of their impact on ecosystems
and humans has led to large interest for broadening the knowledge on the chemical status …
and humans has led to large interest for broadening the knowledge on the chemical status …
Preparation and application of UPLC silica microsphere stationary phase: A review
T Zhang, Y Yu, S Han, H Cong, C Kang, Y Shen… - Advances in Colloid and …, 2024 - Elsevier
In this review, microspheres for ultra-performance liquid chromatography (UPLC) were
reviewed in accordance with the literature in recent years. As people's demands for …
reviewed in accordance with the literature in recent years. As people's demands for …
Developments in high-resolution mass spectrometric analyses of new psychoactive substances
The proliferation of new psychoactive substances (NPS) has necessitated the development
and improvement of current practices for the detection and identification of known NPS and …
and improvement of current practices for the detection and identification of known NPS and …
Spatial-temporal occurrence of contaminants of emerging concern in urban rivers in southern Brazil
JB Arsand, A Dallegrave, L Jank, T Feijo, M Perin… - Chemosphere, 2023 - Elsevier
The widespread use and misuse of antibiotics and pesticides has been linked with several
risks to the environment and human health. In the present report, the results of the …
risks to the environment and human health. In the present report, the results of the …
Retention time dataset for heterogeneous molecules in reversed–phase liquid chromatography
Y Zhang, F Liu, XQ Li, Y Gao, KC Li, QH Zhang - Scientific Data, 2024 - nature.com
Quantitative structure–property relationships have been extensively studied in the field of
predicting retention times in liquid chromatography (LC). However, making transferable …
predicting retention times in liquid chromatography (LC). However, making transferable …
Enhancing compound confidence in suspect and non-target screening through machine learning-based retention time prediction
D Song, T Tang, R Wang, H Liu, D **e, B Zhao… - Environmental …, 2024 - Elsevier
The retention time (RT) of contaminants of emerging concern (CECs) in liquid
chromatography-high-resolution mass spectrometry (LC-HRMS) is crucial for database …
chromatography-high-resolution mass spectrometry (LC-HRMS) is crucial for database …
A practical strategy enabling more reliable identification of ginsenosides from Panax quinquefolius flower by dimension-enhanced liquid chromatography/mass …
M Sun, X Li, M Jiang, L Zhang, M Ding, Y Zou… - … of Chromatography A, 2023 - Elsevier
To accurately identify the metabolites is crucial in a number of research fields, and discovery
of new compounds from the natural products can benefit the development of new drugs …
of new compounds from the natural products can benefit the development of new drugs …
Fingerprinting of emerging contaminants in L'Albufera natural park (Valencia, Spain): Implications for wetland ecosystem health
Wetlands are crucial ecosystems that are increasingly threatened by anthropogenic
activities. L'Albufera Natural Park, the second-largest coastal wetland in Spain, faces …
activities. L'Albufera Natural Park, the second-largest coastal wetland in Spain, faces …
Enhanced database creation with in silico workflows for suspect screening of unknown tebuconazole transformation products in environmental samples by UHPLC …
K Rocco, C Margoum, L Richard, M Coquery - Journal of Hazardous …, 2022 - Elsevier
The search and identification of organic contaminants in agricultural watersheds has
become a crucial effort to better characterize watershed contamination by pesticides. The …
become a crucial effort to better characterize watershed contamination by pesticides. The …
Quantitative Structure–Retention Relationship Analysis of Polycyclic Aromatic Compounds in Ultra-High Performance Chromatography
F Ruggieri, A Biancolillo, AA D'Archivio, F Di Donato… - Molecules, 2023 - mdpi.com
A comparative quantitative structure–retention relationship (QSRR) study was carried out to
predict the retention time of polycyclic aromatic hydrocarbons (PAHs) using molecular …
predict the retention time of polycyclic aromatic hydrocarbons (PAHs) using molecular …