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Dive into the research topics where Davide Bertelli is active.

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Featured researches published by Davide Bertelli.


Journal of Agricultural and Food Chemistry | 2010

Detection of Honey Adulteration by Sugar Syrups Using One-Dimensional and Two-Dimensional High-Resolution Nuclear Magnetic Resonance

Davide Bertelli; Massimo Lolli; Giulia Papotti; Laura Bortolotti; Giorgia Serra; Maria Plessi

The importance of honey adulteration detection has recently increased owing to the limited production levels in recent years and the relative high price of honey; therefore, this illegal practice has become more and more attractive to producers. Hence, the need has arisen for more effective analytical methods aiming at detecting honey adulteration. The present research presents an effective method to detect adulteration in honey falsified by intentional addition of different concentrations of commercial sugar syrups, using one-dimensional (1D) and two-dimensional (2D) nuclear magnetic resonance (NMR) coupled with multivariate statistical analysis. Sixty-three authentic and 63 adulterated honey samples were analyzed. To prepare adulterated honeys, seven different sugar syrups normally used for nutrition of bees were used. The best discriminant model was obtained by 1D spectra, and leave-one-out cross-validation showed a predictive capacity of 95.2%. 2D NMR also furnished acceptable results (cross-validation correct classification 90.5%), although the (1)H NMR sequence is preferable because it is the simplest and fastest NMR technique.


Journal of Agricultural and Food Chemistry | 2008

Classification of Italian honeys by 2D HR-NMR.

Massimo Lolli; Davide Bertelli; Maria Plessi; A. G. Sabatini; Cinzia Restani

The importance of honey has been recently increased because of its nutrient and therapeutic effects, but the adulteration of honey in terms of botanical origin has increased, too. The floral origin of honeys is usually determined using melisso-palynological analysis and organoleptic characteristics, but the application of these techniques requires some expertise. A number of papers have confirmed the possibility of characterizing honey samples by selected chemical parameters. In this study high-resolution nuclear magnetic resonance (HR-NMR) and multivariate statistical analysis methods were used to identify and classify honeys of five different floral sources. The 71 honey samples (robinia, chestnut, citrus, eucalyptus, polyfloral) were analyzed by HR-NMR using both 1H NMR and heteronuclear multiple bond correlation spectroscopy (HMBC). Spectral data were analyzed by application of unsupervised and supervised pattern recognition and multivariate statistical techniques such as principal component analysis (PCA) and general discriminant analysis (GDA). The use of 1H-(13)C HMBC coupled with appropriate statistical analysis seems to be an efficient technique for the classification of honeys.


Food Chemistry | 1998

Separation by solid phase extraction and quantification by reverse phase HPLC of sulforaphane in broccoli

Davide Bertelli; Maria Plessi; Daniela Braghiroli; A. Monzani

Abstract The separation and quantification of sulforaphane [1-isothiocyanato-4-(methyl-sulfinyl)-butane] from the florets, stalks and leaves of broccoli is described. The procedure uses solvent extraction, followed by purification of extracts using solid phase extraction (SPE) and reverse phase HPLC analysis. The HPLC method is compared with a spectrophotometric assay. To obtain information about the usefulness of acid hydrolysis of glucosinolates, the florets were left to autolyze at room temperature or were treated with concentrated hydrochloric acid, then analysed. The method proves reliable and reproducible as regards both SPE purification and chromatographic determination. Quantities of sulforaphane were found in the florets, stalks and leaves. The highest content of sulforaphane (110 μgg−1) was found in the leaves.


Journal of Pharmaceutical and Biomedical Analysis | 2013

An efficient chemical analysis of phenolic acids and flavonoids in raw propolis by microwave-assisted extraction combined with high-performance liquid chromatography using the fused-core technology.

Federica Pellati; Francesco Pio Prencipe; Davide Bertelli; Stefania Benvenuti

A closed-vessel microwave-assisted extraction (MAE) technique was optimized for the first time for the extraction of polyphenols from raw propolis. The results obtained by means of response surface experimental design methodology showed that the best global response was reached when the extraction temperature was set at 106 °C, the solvent composition close to EtOH-H2O 80:20 (v/v), with an extraction time of 15 min. In comparison with other techniques, such as maceration, heat reflux extraction (HRE) and ultrasound-assisted extraction (UAE), the extraction with MAE was improved by shorter extraction time and lower volume of solvent needed. The HPLC analyses of propolis extracts were carried out on a fused-core Ascentis Express C18 column (150 mm × 3.0 mm I.D., 2.7 μm), with a gradient mobile phase composed by 0.1% formic acid in water and acetonitrile. Detection was performed by DAD and MS. The method validation indicated that the correlation coefficients were >0.999; the limit of detection was in the range 0.5-0.8 μg/ml for phenolic acids and 1.2-3.0 μg/ml for flavonoids; the recovery range was 95.3-98.1% for phenolic acids and 94.1-101.3% for flavonoids; the intra- and inter-day %RSD values for retention times and peak areas were ≤ 0.3 and 2.2%, respectively. The quali- and quantitative analysis of polyphenols in Italian samples of raw propolis was performed with the validated method. Total phenolic acids ranged from 5.0 to 120.8 mg/g and total flavonoids from 2.5 to 168.0mg/g. The proposed MAE procedure and HPLC method can be considered reliable and useful tools for the comprehensive multi-component analysis of polyphenols in propolis extracts to be used in apitherapy.


Food Chemistry | 2015

An analytical approach to Sr isotope ratio determination in Lambrusco wines for geographical traceability purposes

Caterina Durante; Carlo Baschieri; Lucia Bertacchini; Davide Bertelli; Marina Cocchi; Andrea Marchetti; Daniela Manzini; Giulia Papotti; Simona Sighinolfi

Geographical origin and authenticity of food are topics of interest for both consumers and producers. Among the different indicators used for traceability studies, (87)Sr/(86)Sr isotopic ratio has provided excellent results. In this study, two analytical approaches for wine sample pre-treatment, microwave and low temperature mineralisation, were investigated to develop accurate and precise analytical method for (87)Sr/(86)Sr determination. The two procedures led to comparable results (paired t-test, with t<tcrit). Furthermore, the precision of the whole analytical procedure was evaluated by using a control sample (wine sample), processed during each sample batch (calculated Relative Standard Deviation, RSD%, equal to 0.002%. Lambrusco PDO (Protected Designation of Origin) wines coming from four different vintages (2009, 2010, 2011 and 2012) were pre-treated according to the best procedure and their isotopic values were compared with isotopic data coming from (i) soils of their territory of origin and (ii) wines obtained by same grape varieties cultivated in different districts. The obtained results have shown no significant variability among the different vintages of wines and a perfect agreement between the isotopic range of the soils and wines has been observed. Nevertheless, the investigated indicator was not enough powerful to discriminate between similar products. To this regard, it is worth to note that more soil samples as well as wines coming from different districts will be considered to obtain more trustworthy results.


Skin Pharmacology and Physiology | 2013

Comparative Evaluation of the Effect of Permeation Enhancers, Lipid Nanoparticles and Colloidal Silica on in vivo Human Skin Penetration of Quercetin

Santo Scalia; Erica Franceschinis; Davide Bertelli; Valentina Iannuccelli

Background/Aim: The aim of this study was to evaluate emulsions containing a penetration enhancer, lipid nanoparticles (LNs) or colloidal silica as systems to improve the topical delivery of the flavonoid quercetin. Methods: The skin penetration of quercetin was investigated in vivo on human volunteers by tape stripping. Quercetin-loaded LNs were prepared using hot high-pressure homogenization and characterized by means of dynamic light scattering and release studies. The location of the silica nanoparticles in the skin was determined by inductively coupled plasma mass spectrometry assay of silicon in the stratum corneum strips. Results and Conclusions: The penetration enhancer diethylene glycol monoethyl ether did not produce any significant increase in the fraction of the applied quercetin dose permeated in vivo into human stratum corneum (17.1 ± 3.2%) compared to the control emulsion (18.1 ± 2.3%). A greater but statistically nonsignificant accumulation of the flavonoid in the human horny layer (21.2 ± 2.9% of the applied dose) was measured following topical application of quercetin-loaded LNs (mean particle size: 527 nm). On the other hand, the addition of colloidal silica (average particle diameter: 486 nm) to the emulsion (2%, w/w) significantly increased the in vivo uptake of quercetin by the human stratum corneum to 26.7 ± 4.1% of the applied dose, the enhancing effect on permeation being more marked in the deepest horny layer strips. The measured in vivo skin penetration profile of colloidal silica showed that silica particles diffused down to the intermediate region of the human horny layer and hence could act as carrier for quercetin.


Journal of Agricultural and Food Chemistry | 2013

Application of one- and two-dimensional NMR spectroscopy for the characterization of Protected Designation of Origin Lambrusco wines of Modena.

Giulia Papotti; Davide Bertelli; Riccardo Graziosi; Michele Silvestri; Lucia Bertacchini; Caterina Durante; Maria Plessi

Lambrusco is a Protected Designation of Origin (PDO) red wine of Modena (Italy) produced according to the production regulation (Decreto Ministeriale (DM) July 27, 2009; GU no. 184-187-188, 13/08/2009). Here the use of (1)H NMR spectroscopy as molecular fingerprints of several PDO Lambrusco wines was proposed to serve as indicators of authenticity and quality control. Application of partial least squares discriminant analysis (PLS-DA) revealed a good varietal discrimination by analyzing the low-frequency spectral region. This model explains 68.8% of the variance for the Y vector (classification factor: varietal source). In particular, the signals of 2,3-butanediol, lactic, succinic and malic acids, and threonine were found to be the most statistically significant variables in the model. These findings seem to be very promising in the attempt to extend the study to geographical discrimination.


Journal of Agricultural and Food Chemistry | 2012

Chemical and Functional Characterization of Italian Propolis Obtained by Different Harvesting Methods

Giulia Papotti; Davide Bertelli; Laura Bortolotti; Maria Plessi

The composition and antioxidant activity of Italian poplar propolis obtained using three harvesting methods and extracted with different solvents were evaluated. Waxes, balsams, and resins contents were determined. Flavones and flavonols, flavanones and dihydroflavonols, and total phenolics were also analyzed. To characterize the phenolic composition, the presence of 15 compounds was verified through HPLC-MS/MS. The antioxidant activity was evaluated through 1,1-diphenyl-2-picrylhydrazyl radical and reducing power assays. The ability of propolis to inhibit lipid oxidation was monitored by analyzing hydroperoxide and TBARS formation in lipids incorporated into an oil-in-water (O/W) emulsion. Acetone shows the highest extraction capacity. Wedge propolis has the highest concentration of active phenolic compounds (TP = 359.1 ± 16.3 GAEs/g; TFF = 5.83 ± 0.42%; TFD = 7.34 ± 1.8%) and seems to be the most promising for obtaining high-value propolis more suitable to prepare high-quality dietary supplements (TBARS = 0.012 ± 0.009 mmol std/g; RP = 0.77 ± 0.07 TEs/g).


Analytical Chemistry | 2015

Performance Assessment in Fingerprinting and Multi Component Quantitative NMR Analyses.

Vito Gallo; Nicola Intini; Piero Mastrorilli; Mario Latronico; Pasquale Scapicchio; Maurizio Triggiani; Vitoantonio Bevilacqua; Paolo Fanizzi; Domenico Acquotti; Cristina Airoldi; Fabio Arnesano; Michael Assfalg; Francesca Benevelli; Davide Bertelli; Laura Ruth Cagliani; Luca Casadei; Flaminia Cesare Marincola; Giuseppe Colafemmina; Roberto Consonni; Cesare Cosentino; Silvia Davalli; Sandra A De Pascali; Virginia D'Aiuto; Andrea Faccini; Roberto Gobetto; Raffaele Lamanna; Francesca Liguori; Francesco Longobardi; Domenico Mallamace; Pierluigi Mazzei

An interlaboratory comparison (ILC) was organized with the aim to set up quality control indicators suitable for multicomponent quantitative analysis by nuclear magnetic resonance (NMR) spectroscopy. A total of 36 NMR data sets (corresponding to 1260 NMR spectra) were produced by 30 participants using 34 NMR spectrometers. The calibration line method was chosen for the quantification of a five-component model mixture. Results show that quantitative NMR is a robust quantification tool and that 26 out of 36 data sets resulted in statistically equivalent calibration lines for all considered NMR signals. The performance of each laboratory was assessed by means of a new performance index (named Qp-score) which is related to the difference between the experimental and the consensus values of the slope of the calibration lines. Laboratories endowed with a Qp-score falling within the suitable acceptability range are qualified to produce NMR spectra that can be considered statistically equivalent in terms of relative intensities of the signals. In addition, the specific response of nuclei to the experimental excitation/relaxation conditions was addressed by means of the parameter named NR. NR is related to the difference between the theoretical and the consensus slopes of the calibration lines and is specific for each signal produced by a well-defined set of acquisition parameters.


Journal of Apicultural Research | 2016

Standard methods for Apis mellifera propolis research

Vassya Bankova; Davide Bertelli; Renata S. Borba; Bruno José Conti; Ildenize Barbosa da Silva Cunha; Carolina Danert; Marcos N. Eberlin; Soraia Falcão; María Inés Isla; María I. Nieva Moreno; Giulia Papotti; Milena Popova; Karina Basso Santiago; Ana Lilia Salas; Alexandra Christine Helena Frankland Sawaya; Nicolas V. Schwab; José Maurício Sforcin; Michael Simone-Finstrom; Marla Spivak; Boryana Trusheva; Miguel Vilas-Boas; Michael L. Wilson; Catiana Zampini

Propolis is one of the most fascinating honey bee (Apis mellifera L.) products. It is a plant derived product that bees produce from resins that they collect from different plant organs and with which they mix beeswax. Propolis is a building material and a protective agent in the bee hive. It also plays an important role in honey bee social immunity, and is widely used by humans as an ingredient of nutraceuticals, over-the-counter preparations and cosmetics. Its chemical composition varies by geographic location, climatic zone and local flora. The understanding of the chemical diversity of propolis is very important in propolis research. In this manuscript, we give an overview of the available methods for studying propolis in different aspects: propolis in the bee colony; chemical composition and plant sources of propolis; biological activity of propolis with respect to bees and humans; and approaches for standardization and quality control for the purposes of industrial application.

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Maria Plessi

University of Modena and Reggio Emilia

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Giulia Papotti

University of Modena and Reggio Emilia

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Riccardo Graziosi

University of Modena and Reggio Emilia

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Federica Pellati

University of Modena and Reggio Emilia

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A. G. Sabatini

Consiglio per la ricerca e la sperimentazione in agricoltura

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Francesca Miglietta

University of Modena and Reggio Emilia

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Stefania Benvenuti

University of Modena and Reggio Emilia

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Caterina Durante

University of Modena and Reggio Emilia

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Laura Bortolotti

Consiglio per la ricerca e la sperimentazione in agricoltura

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Lucia Marchetti

University of Modena and Reggio Emilia

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