Food Chemistry, Journal Year: 2024, Volume and Issue: 464, P. 141605 - 141605
Published: Oct. 9, 2024
Language: Английский
Food Chemistry, Journal Year: 2024, Volume and Issue: 464, P. 141605 - 141605
Published: Oct. 9, 2024
Language: Английский
Talanta, Journal Year: 2024, Volume and Issue: 272, P. 125705 - 125705
Published: Jan. 30, 2024
Language: Английский
Citations
18Food Control, Journal Year: 2023, Volume and Issue: 148, P. 109625 - 109625
Published: Jan. 18, 2023
Language: Английский
Citations
24Microchemical Journal, Journal Year: 2024, Volume and Issue: 198, P. 110163 - 110163
Published: Feb. 17, 2024
Language: Английский
Citations
9Microchemical Journal, Journal Year: 2024, Volume and Issue: 201, P. 110638 - 110638
Published: April 26, 2024
Language: Английский
Citations
8Critical Reviews in Analytical Chemistry, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 22
Published: Jan. 2, 2024
Sample clean-up and pre-concentration are critical components of pharmaceutical analysis. The dispersive liquid-liquid microextraction (DLLME) technique is widely recognized as the most effective approach for enhancing overall detection sensitivity. While various DLLME modes have been advanced in analysis, there need to be more discussions on techniques specifically developed this field. This review presents a comprehensive overview different used analysis from 2017 May 2023. covers principles DLLME, factors affecting microextraction, selected applications modes, their advantages disadvantages. Additionally, it focuses multi-extraction strategies employed
Language: Английский
Citations
7Microchimica Acta, Journal Year: 2023, Volume and Issue: 190(4)
Published: March 18, 2023
Language: Английский
Citations
16Analytica Chimica Acta, Journal Year: 2023, Volume and Issue: 1272, P. 341492 - 341492
Published: June 6, 2023
Beta-agonists are potent bronchodilators approved for the treatment of asthma and tocolysis. However, they have been extensively misused as feed additives in veterinary field to improve efficiency. The concern over their potential hazard health has come fore again. In this study, a novel vinylene-based covalent organic framework (V-COF-1) with two-dimensional structure was developed. shows good tolerance variety mediums, which can be attributed low polarity linkage. high specific surface area variable interaction analytes accelerate extraction time. Furthermore, swelling resulting from formation hydrogen bonds by protic solvent intercalation triazine group also improves adsorption Finally, due its great reusability, it is economical material sample preparation application. V-COF-1 based μ-dSPE approach coupled UHPLC-MS/MS develop highly sensitive selective method. linearity method ranged 0.05 20 ng g-1 correlation coefficient (R2) higher than 0.9958, limits detection quantification fell ranges 0.01-0.10 0.04-0.32 g-1. proposed successfully applied determine beta-agonists meat samples, results indicated recovery 82.2-116%. intra-day inter-day precision were less 6.61%, indicating sustainable application food analysis.
Language: Английский
Citations
15Microchemical Journal, Journal Year: 2024, Volume and Issue: 201, P. 110525 - 110525
Published: April 15, 2024
Language: Английский
Citations
5TrAC Trends in Analytical Chemistry, Journal Year: 2023, Volume and Issue: 164, P. 117109 - 117109
Published: May 29, 2023
Language: Английский
Citations
12Microchemical Journal, Journal Year: 2024, Volume and Issue: 200, P. 110366 - 110366
Published: March 20, 2024
Language: Английский
Citations
4