Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 317

The DOI matches its Crossref record; 81 of the 81 references it cites were found in a registry or an index.

A comprehensive look at solid-phase microextraction technique: A review of reviews

Open access
Jalili, Vahid, Barkhordari, Abdullah, Ghiasvand, Alireza·2020·Microchemical Journal

Abstract

Sample preparation is an important step when working with extremely low concentrations of analytes and complex matrices. Conventional extraction methods consume large amounts of hazardous solvents, and for this reason are not in line with green analytical chemistry. In addition, these methods are unable determine trace levels of various compounds due to their low sensitivities. Solid phase microextraction (SPME) is a solvent-free, cost-effective, robust, versatile, and high-throughput sample preparation technique. It integrates all steps of extraction, such as sampling, isolation, and analysis, into a single step. In recent years, the combination of SPME and sensitive analysis instruments has proven highly efficient for the sampling and analysis of numerous compounds. Over time, many review articles have been written, focusing on advantages, applications, and developments of the technique, from basic procedures to more advanced modifications. This paper summarizes review articles pertaining to SPME, along with its different aspects and areas of application.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.microc.2019.104319

Cites

81 of 81 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 81 references

Cited by

See all 317

Metadata

Authors
Jalili, V., Barkhordari, A., & Ghiasvand, A.
Venue
Microchemical Journal
Publisher
Elsevier BV
Published
2020-01
Volume
152
Pages
104319
ISSN
0026-265X (ISSN-L)
OpenAlex
W2979490278
Cited by
317
References
81
FWCI
16.56
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A comprehensive look at solid-phase microextraction technique: A review of reviews. https://app.cochat.ai/papers/10.1016/j.microc.2019.104319
The paper
Jalili, V., Barkhordari, A., & Ghiasvand, A. (2020). A comprehensive look at solid-phase microextraction technique: A review of reviews. Microchemical Journal. https://doi.org/10.1016/j.microc.2019.104319

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.