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

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          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.

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          Most cited references34

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          Principal component analysis: a review and recent developments.

          Large datasets are increasingly common and are often difficult to interpret. Principal component analysis (PCA) is a technique for reducing the dimensionality of such datasets, increasing interpretability but at the same time minimizing information loss. It does so by creating new uncorrelated variables that successively maximize variance. Finding such new variables, the principal components, reduces to solving an eigenvalue/eigenvector problem, and the new variables are defined by the dataset at hand, not a priori, hence making PCA an adaptive data analysis technique. It is adaptive in another sense too, since variants of the technique have been developed that are tailored to various different data types and structures. This article will begin by introducing the basic ideas of PCA, discussing what it can and cannot do. It will then describe some variants of PCA and their application.
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            Estimation of total phenolic content and other oxidation substrates in plant tissues using Folin-Ciocalteu reagent.

            Non-structural phenolic compounds perform a variety of functions in plants, including acting as antioxidants. We describe a microplate-adapted colorimetric total phenolics assay that utilizes Folin-Ciocalteu (F-C) reagent. The F-C assay relies on the transfer of electrons in alkaline medium from phenolic compounds to phosphomolybdic/phosphotungstic acid complexes, which are determined spectroscopically at 765 nm. Although the electron transfer reaction is not specific for phenolic compounds, the extraction procedure eliminates approximately 85% of ascorbic acid and other potentially interfering compounds. This assay is performed in microcentrifuge tubes and assessed in a 96-well plate reader. At least 64 samples can be processed in 1 d.
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              Chlorogenic acid (CGA): A pharmacological review and call for further research.

              Phenolic acids have recently gained substantial attention due to their various practical, biological and pharmacological effects. Chlorogenic Acid (CGA, 3-CQA) is a most abundant isomer among caffeoylquinic acid isomers (3-, 4-, and 5-CQA), that currently known as 5-CQA as per guidelines of IUPAC. It is one of the most available acids among phenolic acid compounds which can be naturally found in green coffee extracts and tea. CGA is an important and biologically active dietary polyphenol, playing several important and therapeutic roles such as antioxidant activity, antibacterial, hepatoprotective, cardioprotective, anti-inflammatory, antipyretic, neuroprotective, anti-obesity, antiviral, anti-microbial, anti-hypertension, free radicals scavenger and a central nervous system (CNS) stimulator. In addition, it has been found that CGA could modulate lipid metabolism and glucose in both genetically and healthy metabolic related disorders. It is speculated that CGA can perform crucial roles in lipid and glucose metabolism regulation and thus help to treat many disorders such as hepatic steatosis, cardiovascular disease, diabetes, and obesity as well. Furthermore, this phenolic acid (CGA) causes hepatoprotective effects by protecting animals from chemical or lipopolysaccharide-induced injuries. The hypocholesterolemic influence of CGA can result from the altered metabolism of nutrients, including amino acids, glucose and fatty acids (FA). The purpose of this review was to broaden the scope of knowledge of researchers to conduct more studies on this subject to both unveil and optimize its biological and pharmacological effects. As a result, CGA may be practically used as a natural safeguard food additive to replace the synthetic antibiotics and thereby reduce the medicinal cost.
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                Author and article information

                Journal
                ACS Food Sci Technol
                ACS Food Sci Technol
                fs
                afsthl
                ACS Food Science & Technology
                American Chemical Society
                2692-1944
                30 March 2022
                15 April 2022
                : 2
                : 4
                : 647-654
                Affiliations
                []Department of Chemical Sciences, University of Naples Federico II , 80126 Naples, Italy
                []CEINGE Advanced Biotechnologies, University of Naples Federico II , 80145 Naples, Italy
                [§ ]INBB, Istituto Nazionale Biostrutture e Biosistemi, Consorzio Interuniversitario , 00136 Rome, Italy
                []Ecomuseo della Valle delle Orchidee e delle Antiche Coltivazioni-Sassano (Sa)-PNCVDA , 84038 Sassano, Italy
                []Department of Sciences and Technology, University of Naples Parthenope , 80143 Naples, Italy
                [# ]Pharmaceutical & Analytical Development Biotech Products, Merck Serono SpA , an affiliate of Merck KgaA, Darmstadt, Germany, 00176 Roma, Italy
                Author notes
                Author information
                https://orcid.org/0000-0003-1491-8966
                https://orcid.org/0000-0001-9169-3452
                Article
                10.1021/acsfoodscitech.1c00439
                9016709
                35465209
                3dc712fb-efe8-427f-915a-24fd30c1f942
                © 2022 The Authors. Published by American Chemical Society

                Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained ( https://creativecommons.org/licenses/by/4.0/).

                History
                : 02 December 2021
                : 15 March 2022
                : 04 March 2022
                Funding
                Funded by: European Commission, doi 10.13039/501100000780;
                Award ID: E61G19000090002
                Funded by: Ministero dell’Istruzione, dell’Università e della Ricerca, doi 10.13039/501100003407;
                Award ID: E61G19000090002
                Categories
                Article
                Custom metadata
                fs1c00439
                fs1c00439

                polyphenols,campania region,safeguarding of ancient agricultural traditions,mass spectrometry

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