ReviewRSC advances2024
Recent advances in solid phase microextraction with various geometries in environmental analysis.
Review in RSC advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Are Microextraction Techniques Truly Green? A Critical Assessment of Green Sample Preparation Practices.Journal of separation science · 2026Review
- Design of solid phase microextraction patches for the detection of volatile metabolites associated with Burkholderia cepacia.Applied microbiology and biotechnology · 2026Article
- Green citrate sol-gel synthesis of CuMn₂O₄/Dy₂O₃ nanocomposite for efficient separation, preconcentration, and determination of Cd(II) in food and environmental samples.Environmental monitoring and assessment · 2026Article
- PANI/PTA/FeAnalytical science advances · 2026Article
- Trace determination of heptachlor in soil samples by Toner@CuFeScientific reports · 2026Article
- Dispersive solid-phase extraction as sample pretreatment for determination of chemotherapeutic agents revumenib and venetoclax by HPLC-DAD.Analytical and bioanalytical chemistry · 2025Article
- Fabrication of disposable microextraction analytical tool forRSC advances · 2025Article
- The Preparation of Robust Gully-like Surface of Stainless Steel Fiber-Bonded TFPA-TTA-COF with Nano Pores for Solid-Phase Microextraction of Phenolic Compounds in Water.Nanomaterials (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Solid phase microextraction (SPME) has emerged as a versatile sample preparation technique for the preconcentration of a broad range of compounds with various polarities, especially in environmental studies. SPME has demonstrated its eco-friendly credentials, significantly reducing the reliance on solvents. The use of biocompatible materials as a coating recipe facilitates the acceptance of SPME devices in analytical chemistry, primarily in the monitoring of environmental pollutants such as persistent organic pollutants (POPs), volatile organic compounds (VOCs), and pesticides from the various environmental matrices. During the last few years, investigators have reported an improvement in the SPME enrichment technique after changing the coating recipe, geometries, and sampling procedure from the complex matrices. Furthermore, the development of various geometries of SPME with large surface areas has enhanced the extraction efficiency of environmental pollutants. As a miniaturized sample preparation technique, SPME significantly reduces the solvent usage, suggesting a potential platform for green chemistry-based research for water, air, and soil analysis. This review article summarizes the evolution of SPME, its various modes, the application of SPME, recent innovations, and prospects for the determination of water, air, and soil pollution. The advantages and disadvantages of SPME in comparison to other extraction techniques have been discussed here. This review serves as a valuable resource for investigators working in sustainable environmental research.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.