PMID- 37810912
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231010
IS  - 1687-8760 (Print)
IS  - 1687-8779 (Electronic)
IS  - 1687-8760 (Linking)
VI  - 2023
DP  - 2023
TI  - A Highly Selective Analytical Method Based on Salt-Assisted Liquid-Liquid 
      Extraction for Trace-Level Enrichment of Multiclass Pesticide Residues in Cow 
      Milk for Quantitative Liquid Chromatographic Analysis.
PG  - 1754956
LID - 10.1155/2023/1754956 [doi]
LID - 1754956
AB  - In this study, a simple, inexpensive, selective, and fast salting-out assisted 
      liquid-liquid extraction (SALLE) technique coupled with high-pressure liquid 
      chromatography-diode array detection (HPLC-DAD) was developed for the extraction, 
      preconcentration, and analysis of trace level seven multiclass pesticide residues 
      in pasteurized and raw cow milk samples. The significant factors that affect the 
      extent to which the target analytes are extracted, such as the type of extraction 
      solvent and its volume, the type and concentration of salting-out salts, the pH 
      of the solution, and the extraction time, have been investigated. Under optimum 
      conditions, the correlation coefficient (r(2)) was obtained within a range of 
      0.9982-0.9997 for a broad linear range concentration of 2-1500 ng.mL(-1). 
      Reliable sensitivity was achieved with limits of detection (LODs) and limits of 
      quantification (LOQs) ranging from 0.58-2.56 ng.mL(-1) and 1.95-8.51 ng.mL(-1), 
      respectively. While precision with interday and intraday in terms of relative 
      standard deviations (RSDs) was observed in the range of 1.97 - 7.88% and 4.52 - 
      8.04%, respectively. The results of the precision studies reveal that good 
      repeatability and reproducibility (RSDs <9) were achieved, thus showing a low 
      variability extraction of the developed method. Finally, the proposed and 
      validated approach was effectively used to extract and determine pesticide 
      residues in real milk matrices; however, the target analytes were not detected in 
      all samples.
CI  - Copyright (c) 2023 Habtamu Bekele et al.
FAU - Bekele, Habtamu
AU  - Bekele H
AUID- ORCID: 0009-0000-9175-4876
AD  - Department of Chemistry, College of Natural and Computational Sciences, Addis 
      Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
FAU - Yohannes, Weldegebriel
AU  - Yohannes W
AD  - Department of Chemistry, College of Natural and Computational Sciences, Addis 
      Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
FAU - Megersa, Negussie
AU  - Megersa N
AUID- ORCID: 0000-0003-1255-7554
AD  - Department of Chemistry, College of Natural and Computational Sciences, Addis 
      Ababa University, P.O. Box 1176, Addis Ababa, Ethiopia.
LA  - eng
PT  - Journal Article
DEP - 20230929
PL  - Egypt
TA  - Int J Anal Chem
JT  - International journal of analytical chemistry
JID - 101519424
PMC - PMC10558272
COIS- The authors declare that there are no conflicts of interest.
EDAT- 2023/10/09 12:42
MHDA- 2023/10/09 12:43
PMCR- 2023/09/29
CRDT- 2023/10/09 06:10
PHST- 2023/06/08 00:00 [received]
PHST- 2023/09/09 00:00 [revised]
PHST- 2023/09/20 00:00 [accepted]
PHST- 2023/10/09 12:43 [medline]
PHST- 2023/10/09 12:42 [pubmed]
PHST- 2023/10/09 06:10 [entrez]
PHST- 2023/09/29 00:00 [pmc-release]
AID - 10.1155/2023/1754956 [doi]
PST - epublish
SO  - Int J Anal Chem. 2023 Sep 29;2023:1754956. doi: 10.1155/2023/1754956. eCollection 
      2023.