Evidence map›Paper›PMID 37430976›Full record

ArticleFoods (Basel, Switzerland)2022

Determination of Saffron Quality through a Multi-Analytical Approach.

Andrea Bergomi, Valeria Comite, Laura Santagostini, Vittoria Guglielmi, Paola Fermo

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Geographical Classification of Saffron (Foods (Basel, Switzerland) · 2023
    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

5 authors.

Andrea BergomiDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milano, Italy.ORCID 0000-0002-1587-4240
Valeria ComiteDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milano, Italy.ORCID 0000-0002-9716-0080
Laura SantagostiniDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milano, Italy.ORCID 0000-0002-1824-1617
Vittoria GuglielmiDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milano, Italy.ORCID 0000-0002-7531-4536
Paola FermoDepartment of Chemistry, University of Milan, Via Golgi 19, 20133 Milano, Italy.ORCID 0000-0003-2176-9188

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, the specifications for the assessment of saffron quality are contained in the ISO 3632 technical standard. This norm evaluates saffron quality through a UV-Vis spectrophotometric method and grades the spice into three commercial categories. However, numerous studies have highlighted several weaknesses and limitations of the ISO method. For this reason, a new multi-analytical approach for the determination of saffron quality is proposed in this work. Different techniques were employed to assess saffron quality: UV-visible spectroscopy (UV-Vis), attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR), scanning electron microscopy coupled with energy dispersive X-ray spectroscopy (SEM-EDX) and inductively coupled plasma-optical emission spectroscopy (ICP-OES). The results show that the commercial grading based on the ISO 3632 methodology is not always in line with the observations made with the other techniques. Moreover, the use of two new techniques in the field of saffron quality determination, i.e., SEM-EDX and ICP-OES, proved to be effective for the determination of elemental composition and metal content, which are two important parameters to take into consideration when assessing the quality of the spice.

Indexed as

ATR-FTIRfood qualityICP-OESsaffronSEM-EDXUV-vis spectroscopy

Identifiers

PMID37430976
PMCPMC9601413

What OpenQuestion holds

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Registered trials

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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.