Evidence map›Paper›PMID 42738722›Full record

ReviewMolecules (Basel, Switzerland)2026

Green Analytical Workflows: Recent Advances in Sample Preparation and Instrumental Analysis of Food Contact Materials.

Lorenzo Cortesi, Nicolò Riboni, Clarissa Facchini, Federica Bianchi

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Lorenzo CortesiDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.ORCID 0009-0002-1033-1308
Nicolò RiboniDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.ORCID 0000-0002-0789-3812
Clarissa FacchiniDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.ORCID 0009-0001-9328-1969
Federica BianchiDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parco Area delle Scienze 17/A, 43124 Parma, Italy.ORCID 0000-0001-7880-5624

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Food contact materials (FCMs) represent a major route of exposure to chemicals since they can migrate from packaging into food, raising health concerns. Due to its heterogeneous nature and complexity, the monitoring of chemicals present in or released by FCMs poses a significant analytical challenge, requiring both target methods for the quantitative determination of both intentionally and non-intentionally added substances (IAS and NIAS) and untargeted approaches to fingerprint the material and identify previously unknown IAS and NIAS. In recent years, green analytical chemistry has become fundamental for method development, promoting safer, faster and more sustainable workflows with reduced solvent consumption, waste generation and environmental impact. This review discusses recent advances in green analytical workflows for FCM characterization, with emphasis on sample preparation and instrumental analysis, covering the state of the art from 2020 to 2026.

Indexed as

Food ContaminationFood PackagingGreen Chemistry TechnologyMass SpectrometryWorkflowextractable and leachable substancesgreen metricsIAS and NIASmass spectrometrypackaging

Identifiers

PMID42738722
PMCPMC13567559

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.