Cited by 98Analytical chemistry methods developmentAnalytical Chemistry and ChromatographyMicrofluidic and Capillary Electrophoresis Applications

Dispersive liquid-liquid microextraction based binary extraction techniques prior to chromatographic analysis: A review

Sajid, Muhammad, Alhooshani, Khalid·2018·TrAC Trends in Analytical Chemistry

Integrity signals

Registry

Crossref · 10.1016/j.trac.2018.08.016

Cites

98 of 98 references verified0 citation errors · 0 not checkable

Statistics

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

Claims the paper makes

We couldn’t retrieve this paper’s full text, 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?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Sajid, M., & Alhooshani, K.
Affiliations
King Fahd University of Petroleum and Minerals (SA)
Corresponding author
Sajid, Muhammad
Venue
TrAC Trends in Analytical Chemistry
Publisher
Elsevier BV
Published
2018-11
Volume
108
Pages
167-182
ISSN
0165-9936 (ISSN-L)
OpenAlex
W2888819542
Cited by
98
References
98
Citations by year
2026: 6 · 2025: 5 · 2024: 6 · 2023: 9 · 2022: 10 · 2021: 15 · 2020: 27 · 2019: 16 · 2018: 4
FWCI
1.58
Type
journal article
Language
en
Open access
closed
Locations
TrAC Trends in Analytical Chemistry (publishedVersion)
Funders
King Fahd University of Petroleum and Minerals
Topics
  • Physical Sciences › Chemistry › Analytical Chemistry › Analytical chemistry methods development
  • Physical Sciences › Chemistry › Spectroscopy › Analytical Chemistry and Chromatography
  • Physical Sciences › Engineering › Biomedical Engineering › Microfluidic and Capillary Electrophoresis Applications
Keywords
dispersive liquid-liquid microextraction, sample preparation, preconcentration, complex matrices, miniaturized extraction, detection limit, enrichment factor, chromatography

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