Evidence map›Paper›PMID 36080273›Full record

ArticleMolecules (Basel, Switzerland)2022

A Green Analytical Method Combined with Chemometrics for Traceability of Tomato Sauce Based on Colloidal and Volatile Fingerprinting.

Alessandro Zappi, Valentina Marassi, Nicholas Kassouf, Stefano Giordani, Gaia Pasqualucci, Davide Garbini, Barbara Roda, Andrea Zattoni, Pierluigi Reschiglian, Dora Melucci

Abstract read
In one paragraph

Article in Molecules (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
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

10 authors.

Alessandro ZappiDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.ORCID 0000-0002-0029-4403
Valentina MarassiDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-8742-3708
Nicholas KassoufDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.
Stefano GiordaniDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.
Gaia PasqualucciDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.
Davide GarbiniCOOP ITALIA Soc. Cooperativa, Casalecchio di Reno, 40033 Bologna, Italy.
Barbara RodaDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.ORCID 0000-0003-1060-2921
Andrea ZattoniDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-6971-5360
Pierluigi ReschiglianDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.
Dora MelucciDepartment of Chemistry "Giacomo Ciamician", University of Bologna, 40126 Bologna, Italy.ORCID 0000-0001-5505-6763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tomato sauce is a world famous food product. Despite standards regulating the production of tomato derivatives, the market suffers frpm fraud such as product adulteration, origin mislabelling and counterfeiting. Methods suitable to discriminate the geographical origin of food samples and identify counterfeits are required. Chemometric approaches offer valuable information: data on tomato sauce is usually obtained through chromatography (HPLC and GC) coupled to mass spectrometry, which requires chemical pretreatment and the use of organic solvents. In this paper, a faster, cheaper, and greener analytical procedure has been developed for the analysis of volatile organic compounds (VOCs) and the colloidal fraction via multivariate statistical analysis. Tomato sauce VOCs were analysed by GC coupled to flame ionisation (GC-FID) and to ion mobility spectrometry (GC-IMS). Instead of using HPLC, the colloidal fraction was analysed by asymmetric flow field-fractionation (AF4), which was applied to this kind of sample for the first time. The GC and AF4 data showed promising perspectives in food-quality control: the AF4 method yielded comparable or better results than GC-IMS and offered complementary information. The ability to work in saline conditions with easy pretreatment and no chemical waste is a significant advantage compared to environmentally heavy techniques. The method presented here should therefore be taken into consideration when designing chemometric approaches which encompass a large number of samples.

Indexed as

Solanum lycopersicumVolatile Organic CompoundsChemometricsGas Chromatography-Mass SpectrometryPrincipal Component AnalysisVolatile Organic CompoundsAF4-multidetectionasymmetric flow field-flow fractionation AF4chemometric analysisFFF-chemometricsfood colloidsGas Chromatographygreen analytical methodsion-mobility spectroscopyprincipal component analysis (PCA)volatile compounds (VOC)

Identifiers

PMID36080273
PMCPMC9457838

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.