Evidence map›Paper›PMID 35465209›Full record

ArticleACS food science & technology2022

LC-MS/MS-Based Quantification Method of Polyphenols for Valorization of Ancient Apple Cultivars from Cilento.

Anna Illiano, Gabriella Pinto, Maria Antonietta Carrera, Angelo Palmese, Riccardo Di Novella, Paolo Casoria, Angela Amoresano

Abstract read
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Article in ACS food science & technology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

7 citing papers in PubMed.

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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

7 authors.

Anna IllianoDepartment of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy.ORCID https://orcid.org/0000-0003-1491-8966
Gabriella PintoDepartment of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy.ORCID https://orcid.org/0000-0001-9169-3452
Maria Antonietta CarreraDepartment of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy.
Angelo PalmesePharmaceutical & Analytical Development Biotech Products, Merck Serono SpA, an affiliate of Merck KgaA, Darmstadt, Germany, 00176 Roma, Italy.
Riccardo Di NovellaEcomuseo della Valle delle Orchidee e delle Antiche Coltivazioni-Sassano (Sa)-PNCVDA, 84038 Sassano, Italy.
Paolo CasoriaDepartment of Sciences and Technology, University of Naples Parthenope, 80143 Naples, Italy.
Angela AmoresanoDepartment of Chemical Sciences, University of Naples Federico II, 80126 Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safeguarding the biodiversity of plant species is of fundamental importance for their defense against pests and diseases even through the maintenance and dissemination of ancient agricultural traditions rooted within the small rural environments. The investigation area of the current research covered some municipalities belonging to the "Parco Nazionale del Cilento e Vallo di Diano" including the sub-mountainous part of "Comunità Montana del Vallo di Diano (Salerno, Campania)". Fifteen ancient apple varieties were collected from local communities to be analyzed and compared to some commercially available apples. To this aim, a Folin-Ciocâlteu assay was preliminarily used to measure the total polyphenol content in both ancient and commercial apple cultivars. Then, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis in the multiple reaction monitoring (MRM) ion mode was then implemented to detect and quantify specific polyphenols and to obtain a molecular comparison of a wide panel of polyphenols. The main finding of the present work pointed out that ancient apple cultivars are richer than commercial ones in anthocyanins, dihydrochalcones, and chlorogenic acid, whose beneficial effects on health are widely known. Thus, the safeguarding of these ancient varieties is greatly encouraged for the richness of polyphenols crucial both for the defense of plants from insects and for remarkable nutraceutical properties, in addition to the need for germplasm conservation as a source of genetic variability.

Identifiers

PMID35465209
PMCPMC9016709

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