Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Lucia Bertacchini is active.

Publication


Featured researches published by Lucia Bertacchini.


Food Chemistry | 2013

Geographical traceability based on 87Sr/86Sr indicator: a first approach for PDO Lambrusco wines from Modena.

Caterina Durante; Carlo Baschieri; Lucia Bertacchini; Marina Cocchi; Simona Sighinolfi; Michele Silvestri; Andrea Marchetti

The main goal of this study was to evaluate (87)Sr/(86)Sr ratio in different matrices, namely soils, branches, and grape juices, of an oenological food chain in order to develop a robust analytical strategy able to link the investigated food to its territory of origin. The (87)Sr/(86)Sr has been used as traceability marker and several aspects, affected its variability, i.e. geological features of the investigated area, the bio-available fraction of elements in the soils and the up-take of the plant, have been taken into account. Optimisation of an analytical procedure for the separation of Sr from its interferences and investigation of the analytical performances in terms of precision of used methodology have been carried out as well. This work highlighted a good match between the isotopic values monitored in the bio-available fraction of soils and their respective grape juices for almost all the investigated areas. The correlation with food satisfyingly improves when isotopic relative abundance values of branches vine are considered.


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.


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.


Analytica Chimica Acta | 2013

Application of data fusion techniques to direct geographical traceability indicators

Michele Silvestri; Lucia Bertacchini; Caterina Durante; Andrea Marchetti; Elisa Salvatore; Marina Cocchi

A hierarchical data fusion approach has been developed proposing multivariate curve resolution (MCR) as a variable reduction tool. The case study presented concerns the characterization of soil samples of the Modena District. It was performed in order to understand, at a pilot study stage, the geographical variability of the zone prior to planning a representative soils sampling to derive geographical traceability models for Lambrusco Wines. Soils samples were collected from four producers of Lambrusco Wines, located in in-plane and hill areas. Depending on the extension of the sampled fields the number of points collected varies from three to five and, for each point, five depth levels were considered. The different data blocks consisted of X-ray powder diffraction (XRDP) spectra, metals concentrations relative to thirty-four elements and the (87)Sr/(86)Sr isotopic abundance ratio, a very promising geographical traceability marker. A multi steps data fusion strategy has been adopted. Firstly, the metals concentrations dataset was weighted and concatenated with the values of strontium isotopic ratio and compressed. The resolved components described common patterns of variation of metals content and strontium isotopic ratio. The X-ray powder spectra profiles were resolved in three main components that can be referred to calcite, quartz and clays contributions. Then, a high-level data fusion approach was applied by combining the components arising from the previous data sets. The results show interesting links among the different components arising from XRDP, the metals pattern and to which of these (87)Sr/(86)Sr Isotopic Ratio variation is closer. The combined information allowed capturing the variability of the analyzed soil samples.


Data Handling in Science and Technology | 2013

The Impact of Chemometrics on Food Traceability

Lucia Bertacchini; Marina Cocchi; Mario Li Vigni; Andrea Marchetti; Elisa Salvatore; Simona Sighinolfi; Michele Silvestri; Caterina Durante

Abstract In the last decades, mankind has become totally aware about the importance of food quality: nowadays authentication and traceability are words of general use. Food authentication verifies how much a food is in accordance with its label description and law and it could be considered a further guarantee for the quality and safety of a foodstuff. The traceability of food could be considered an essential element in ensuring safety and high quality of food. The synergistic use of instrumental analytical techniques and chemometrics represents a promising way to obtain trustworthy results in the development of authenticity and traceability models. This chapter deals with the potentialities of chemometrics tools in resolving some real issues related to food traceability and authenticity. Particular attention will be paid to the use of some exploratory, classification, and discrimination techniques. In the first part of this chapter, a briefly description of European regulations ( Authenticity and Traceability: the European Union point of view ), and traceability and authenticity markers ( Authenticity and Traceability: a scientific point of view ) is reported. The second part is split into two sections: namely Food Authenticity and Food Traceability applications , where the main features and advantages of some chemometrics approaches are presented.


Talanta | 2012

Use of X-ray diffraction technique and chemometrics to aid soil sampling strategies in traceability studies.

Lucia Bertacchini; Caterina Durante; Andrea Marchetti; Simona Sighinolfi; Michele Silvestri; Marina Cocchi

Aim of this work is to assess the potentialities of the X-ray powder diffraction technique as fingerprinting technique, i.e. as a preliminary tool to assess soil samples variability, in terms of geochemical features, in the context of food geographical traceability. A correct approach to sampling procedure is always a critical issue in scientific investigation. In particular, in food geographical traceability studies, where the cause-effect relations between the soil of origin and the final foodstuff is sought, a representative sampling of the territory under investigation is certainly an imperative. This research concerns a pilot study to investigate the field homogeneity with respect to both field extension and sampling depth, taking also into account the seasonal variability. Four Lambrusco production sites of the Modena district were considered. The X-Ray diffraction spectra, collected on the powder of each soil sample, were treated as fingerprint profiles to be deciphered by multivariate and multi-way data analysis, namely PCA and PARAFAC. The differentiation pattern observed in soil samples, as obtained by this fast and non-destructive analytical approach, well matches with the results obtained by characterization with other costly analytical techniques, such as ICP/MS, GFAAS, FAAS, etc. Thus, the proposed approach furnishes a rational basis to reduce the number of soil samples to be collected for further analytical characterization, i.e. metals content, isotopic ratio of radiogenic element, etc., while maintaining an exhaustive description of the investigated production areas.


Food Chemistry | 2018

Development of 87 Sr/ 86 Sr maps as targeted strategy to support wine quality

Caterina Durante; Lucia Bertacchini; Marina Cocchi; Daniela Manzini; Andrea Marchetti; Maria Cecilia Rossi; Simona Sighinolfi; Lorenzo Tassi

This study summarizes the results obtained from a systematic and long-term project aimed at the development of tools to assess the provenance of food in the oenological sector. In particular, 87Sr/86Sr isotope ratios were measured on statistically representative set of soils, vine branches and wines sampled in the production district of Modena, worldwide known for the Lambrusco wines production. The obtained data were used to build strontium isotopic maps able to objectively support the Lambrusco PDO wines origin as well as other products of the Modena district. Finally, a strong relationship was found between the 87Sr/86Sr isotope ratios of soils and vine branches on a large scale, highlighting and confirming once more the idea that plants can also represent an optimal sampling device to support geographical traceability.


Food Chemistry | 2016

From soil to grape and wine: Variation of light and heavy elements isotope ratios

Caterina Durante; Lucia Bertacchini; Luana Bontempo; Federica Camin; Daniela Manzini; P. Lambertini; Andrea Marchetti; Mauro Paolini


Archive | 2011

Optimization of microwave assisted digestion procedure by means of chemometric tools

Marina Cocchi; Caterina Durante; Andrea Marchetti; M. Li Vigni; Carlo Baschieri; Lucia Bertacchini; Simona Sighinolfi; Lorenzo Tassi; Sara Totaro


Archive | 2017

Isotopic Fingerprinting: Heavy Isotopes

Andrea Marchetti; Caterina Durante; Lucia Bertacchini

Collaboration


Dive into the Lucia Bertacchini's collaboration.

Top Co-Authors

Avatar

Caterina Durante

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Andrea Marchetti

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Marina Cocchi

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Michele Silvestri

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Simona Sighinolfi

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Carlo Baschieri

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Daniela Manzini

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Alex Berni

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Davide Bertelli

University of Modena and Reggio Emilia

View shared research outputs
Top Co-Authors

Avatar

Elisa Salvatore

University of Modena and Reggio Emilia

View shared research outputs
Researchain Logo
Decentralizing Knowledge