CoChat
Sign Up
Cited by 184Analytical chemistry methods developmentPesticide Residue Analysis and SafetyAnalytical Chemistry and Chromatography

Dispersive liquid–liquid microextraction followed by high-performance liquid chromatography as an efficient and sensitive technique for simultaneous determination of chloramphenicol and thiamphenicol in honey

Chen, Huaixia, Chen, Hui, Ying, Jun, Huang, Jianlin, Liao, Lei·2009·Analytica Chimica Acta
DOI 10.1016/j.aca.2008.10.068
Open this paper in CoChat — free account

Abstract

Dispersive liquid-liquid microextraction (DLLME) coupled with high-performance liquid chromatography-variable wavelength detector (HPLC-VWD) was developed for extraction and determination of chloramphenicol (CAP) and thiamphenicol (THA) in honey. In this extraction method, 1.0 mL of acetonitrile (as dispersive solvent) containing 30 microL 1,1,2,2-tetrachloroethane (as extraction solution) was rapidly injected by syringe into a 5.00-mL water sample containing the analytes, thereby forming a cloudy solution. After extraction, phase separation was performed by centrifugation and the enriched analytes in the sedimented phase were determined by HPLC-VWD. Some important parameters, such as the nature and volume of extraction solvent and dispersive solvent, extraction time, sample solution pH, sample volume and salt effect were investigated and optimized. Under the optimum extraction condition, the method yields a linear calibration curve in the concentration range from 3 to 2000 microg kg(-1) for target analytes. The enrichment factors for CAP and THA were 68.2 and 87.9, and the limits of detection (S/N=3) were 0.6 and 0.1 microg kg(-1), respectively. The relative standard deviations (RSDs) for the extraction of 10 microg kg(-1) of CAP and THA were 4.3% and 6.2% (n=6). The main advantages of DLLME-HPLC method are simplicity of operation, rapidity, low cost, high enrichment factor, high recovery, good repeatability and extraction solvent volume at microliter level. Honey samples we…

Integrity signals

Registry

Crossref · 10.1016/j.aca.2008.10.068

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • DLLME has been applied not only to water samples but also to more complex matrices such as honey, urine, and pig muscle.

    “As can be seen, not only water samples have been analyzed [17,69,70] but also more complex ones {e.g., honey [68,71], urine [65,72,73] and pig muscle [58]}.”

    From Dispersive liquid-liquid microextraction for determination of organic analytes (2010) · cites this paper as [71]

  • In a later work by the same group [71], the methodology was extended to simultaneous extraction of chloramphenicol and thiamphenicol, with relative recoveries of 89.5-93.6% and RSD less than 6.3%.

    “In a later work of the same group, the methodology was extended to the simultaneous extraction of chloramphenicol and its analogue thiamphenicol [71], for which relative recoveries were 89.5-93.6% and RSD less than 6.3%.”

    From Dispersive liquid-liquid microextraction for determination of organic analytes (2010) · cites this paper as [71]

  • Pharmaceuticals are an important group of analytes that have been the objective of DLLME procedures, including antibiotics, tricyclic antidepressant drugs, clenbuterol, hypnotic drugs, psychotropic drugs, anti-inflammatory drugs, and cholesterol-lowering agents.

    “Another important group of analytes that have been the objective of DLLME procedures are pharmaceuticals (see Table 2) {e.g., antibiotics [58,68,71], tricyclic antidepressant drugs [69], clenbuterol [70], hypnotic drugs [72], psychotropic drugs [73], anti-inflammatory drugs [65] and cholesterol lowering agents [17]}.”

    From Dispersive liquid-liquid microextraction for determination of organic analytes (2010) · cites this paper as [71]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Chen, H., Chen, H., Ying, J., Huang, J., & Liao, L.
Affiliations
Hubei University (CN)
Corresponding author
Chen, Huaixia
ORCID
Venue
Analytica Chimica Acta
Publisher
Elsevier BV
Published
2009-01
Volume
632
Issue
1
Pages
80-85
ISSN
0003-2670 (ISSN-L)
DOI
10.1016/j.aca.2008.10.068
OpenAlex
W2056169034
Cited by
184
References
2
Citations by year
2026: 10 · 2025: 5 · 2024: 8 · 2023: 3 · 2022: 8 · 2021: 4 · 2020: 5 · 2019: 9 · 2018: 11 · 2017: 9 · 2016: 11 · 2015: 13 · 2014: 14 · 2013: 15 · 2012: 20
FWCI
13.14
Type
journal article
Language
en
Open access
closed
Licence
Locations
  • Analytica Chimica Acta (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Ministry of Education of the People's Republic of China (208090)
  • Hubei University (020091130-ky2006004)
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Pesticide Residue Analysis and Safety
  • Physical Sciences › Chemistry › Spectroscopy › Analytical Chemistry and Chromatography
Keywords
dispersive liquid-liquid microextraction, chloramphenicol, thiamphenicol, honey, veterinary drug residues, antibiotic residues in food, extraction optimization, enrichment factor, food safety testing
MeSH terms
Chloramphenicol, Chromatography, High Pressure Liquid, Honey, Hydrogen-Ion Concentration, Osmolar Concentration, Sensitivity and Specificity, Solvents, Thiamphenicol, Time Factors, Molecular Structure

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review