Sara Vignati

Dr. Sara Vignati

orcid

Research Focus & Metrics

Academic Career Length

27Years (2000-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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28 August 2023 in Applied Sciences
Verified
Journal Article
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SVSara Vignati
Sara Vignati
Alessio TugnoloAlessio Tugnolo
Alessio Tugnolo
Valentina GiovenzanaValentina Giovenzana
Valentina Giovenzana
APAlessia Pampuri
Alessia Pampuri
Andrea CassonAndrea Casson
Andrea Casson
Roberto BeghiRoberto Beghi
Roberto Beghi
During the last two decades, hyperspectral imaging (HSI) has been one of the most studied and applied techniques in the field of nondestructive monitoring systems for the fruit and vegetable supply chain. This review provides HSI technical aspects (i.e., device features) and data analysis approaches (i.e., data processing and qualitative/quantitative modeling) for fresh-cut products, focusing on the different applications which the literature offers and the possible scale-up for process monitoring. Moreover, new frontiers in the development of possible process analytical technologies of cost-effective and hand-held HSI devices are presented and discussed. Even though the performance of these new proximal sensing tools needs to be carefully evaluated, new applicative research perspectives in the development of a proximal sensing approach based on HSI sensor networks are ready to be studied and developed for finding field applications (i.e., precision agriculture, food processing, and more) and enabling faster and more convenient analysis while maintaining the accuracy and capabilities of traditional HSI systems.

1 May 2000 in Neoplasia
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Journal Article
Open access
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PFPaola De Feudis
Paola De Feudis
SVSara Vignati
Sara Vignati
CRCosmo Rossi
Cosmo Rossi
TMTatiana Mincioni
Tatiana Mincioni
RGRaffaella Giavazzi
Raffaella Giavazzi
Massimo BrogginiMassimo Broggini
Massimo Broggini
The proapoptotic gene bax is one of the downstream effectors of p53. The p53 binding site in the bax promoter is less responsive to p53 than the one in the growth arrest mediating gene p21. We introduced the bax gene under the control of 13 copies of a strong p53 responsive element into two ovarian cancer cell lines. The clones expressing bax under the control of p53 obtained from the wild-type (wt) p53-expressing cell line A2780 were much more sensitive (500- to 1000-fold) to the anticancer agent taxol than the parent cell line, with a higher percentage of cells undergoing apoptosis after drug treatment that was clearly p53-dependent and bax-mediated. Xenografts established in nude mice from one selected clone (A2780/C3) were more responsive to taxol than the parental line and the apoptotic response of A2780/C3 tumors was also increased after treatment. Introduction of the same plasmid into the p53 null SKOV3 cell line did not alter the sensitivity to taxol or the induction of apoptosis. In conclusion, driving the p53 response (after taxol treatment) by activating the bax gene rather than the p21 gene results in induction of massive apoptosis, in vitro and in vivo, and greatly enhances sensitivity to the drug.

14 July 2025 in Journal of Agricultural Engineering
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Journal Article
Open access
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SVSara Vignati
Sara Vignati
Alessio TugnoloAlessio Tugnolo
Alessio Tugnolo
MTMarco Torrente
Marco Torrente
APAlessia Pampuri
Alessia Pampuri
Riccardo GuidettiRiccardo Guidetti
Riccardo Guidetti
Valentina GiovenzanaValentina Giovenzana
Valentina Giovenzana
Hyperspectral imaging (HSI) is a non-destructive technique that is employed to assess quality parameters and integrate monitoring across the supply chain in the context of Industry 4.0. Although promising, HSI faces challenges such as high cost and equipment requirements. However, advances in technology and 3D printing are enabling low-cost solutions that still need to be validated in the field. This work presents the development of a low-cost hyperspectral prototype, built using 3D elements and commercially available electronic components, and operating in the spectral range from 400 nm to 1000 nm. Furthermore, two types of gratings have been compared. In the first part of the study, the calibration process using RGB LEDs and a halogen lamp is described in detail. The second part of the study presents the results of a few applications on a food matrix under controlled light conditions, which were conducted to evaluate the performance of the prototype. The extracted spectra were normalised and subsequently pre-processed with either SNV (Standard Normal Variate) transform or the Savitzky–Golay (SG) derivative. Finally, the data were explored with PCA (Principal Component Analysis), which confirmed the ability of the prototype to distinguish samples of different colours (first trial), assess the decay of different apple samples (second trial) and differentiate between healthy and damaged tissues (third trial). The experimental results were consistent with the anticipated outcomes, and both types of grating demonstrated favourable performance.