Veronica Lolli

Dr. Veronica Lolli

University of Parma, Italy
orcid

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

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

Representative Publications

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1 February 2019 in Food Research International
Verified
Journal Article
Closed access
ACAugusta Caligiani
Augusta Caligiani
AMAngela Marseglia
Angela Marseglia
ASAlessia Sorci
Alessia Sorci
FBFrancesca Bonzanini
Francesca Bonzanini
VLVeronica Lolli
Veronica Lolli
SSStefano Sforza
Stefano Sforza

24 March 2024 in Trends in Food Science & Technology
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Journal Article
Closed access
AFAndrea Fuso
Andrea Fuso
GLGiulia Leni
Giulia Leni
BPBarbara Prandi
Barbara Prandi
VLVeronica Lolli
Veronica Lolli
ACAugusta Caligiani
Augusta Caligiani

31 July 2023 in Food Chemistry: X
Verified
Journal Article
Open access
VLVeronica Lolli
Veronica Lolli
PVPio Viscusi
Pio Viscusi
FBFrancesca Bonzanini
Francesca Bonzanini
ACAlessandro Conte
Alessandro Conte
AFAndrea Fuso
Andrea Fuso
ACAugusta Caligiani
Augusta Caligiani
• One-pot protease-assisted extraction of oils and proteins from fruit seeds/kernels was tested. • The protease reaction improved the oil extractability for most of the tested substrates. • The protease assisted extraction allowed to obtain good yields of protein hydrolysates. • Some protein hydrolysates of fruit seeds/kernels show promise for hypoallergenic products. • Protease-derived oils possessed higher nutritional value than fruit protein hydrolysates.

5 March 2020 in Molecules
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Journal Article
Open access
PDF file
VLVeronica Lolli
Veronica Lolli
Animesh AcharjeeAnimesh Acharjee
Animesh Acharjee
Donato AngelinoDonato Angelino
Donato Angelino
MTMichele Tassotti
Michele Tassotti
DRDaniele Del Rio
Daniele Del Rio
ACAugusta Caligiani
Augusta Caligiani
Coffee capsules market is on the rise as it allows access to a wide selection of coffee, differing in taste and brand. However, few data about the chemical characterization of the capsule-brewed coffee aroma are available. In this work, an untargeted approach using headspace solid-phase microextraction (HS-SPME) coupled to gas chromatography–mass spectrometry (GC-MS) and combined to chemometrics was performed to study and compare aroma profile from 65 capsule-brewed espresso coffees (ECs) commercialized by five of the most representative brands in Italy. Volatile profiles obtained from ECs were subjected to multivariate statistical analysis, which generally did not show a significant variability among coffees belonging to the same brand, except for those modified after the addition of specific flavor additives or aromatic substances (such as caramel, chocolate, etc.). Similarities may be related to the starting coffee brew or the processing method, which is likely the same for each individual brand. Additionally, partial least squares discriminant analysis (PLS-DA) showed that capsules from a specific brand contain the highest concentration of pyrazines, thus characterized by an intense and characteristic aroma, and a stronger note than those from the other brands. This study supports that the chemical analysis in conjunction with chemometric tools is a useful approach for assessing flavor quality, even if the need remains to identify volatile markers of high-quality beverages.

31 July 2024 in Current Opinion in Food Science
Verified
Journal Article
Closed access
VLVeronica Lolli
Veronica Lolli
ACAugusta Caligiani
Augusta Caligiani

1 April 2018 in Journal of Analytical Methods in Chemistry
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Journal Article
Open access
PDF file
VLVeronica Lolli
Veronica Lolli
AMAngela Marseglia
Angela Marseglia
GPGerardo Palla
Gerardo Palla
EZEmanuela Zanardi
Emanuela Zanardi
ACAugusta Caligiani
Augusta Caligiani
Cyclopropane fatty acids (CPFAs) are unusual fatty acids of microbial origin, recently detected in milk and dairy products. CPFAs have been demonstrated to be interesting molecular markers for authentication of dairy products obtained without ensiled feeds. Moreover, they can also be recognized as a new secondary component of human diet. Information is lacking on the presence of cyclic fatty acids in other food sources. Cyclopropane fatty acids have been detected by GC-MS analysis in cheese and other animal fats in concentration ranging from 200 to 1000 mg/kg fat, but in some cases, the complex fatty acid profile and the possible presence of interfering peaks make the separation not straightforward and the quantification uneasy. Therefore, a new reliable1H NMR method was developed to detect and measure CPFA content in different foods of animal origin, based on the detection of the characteristic signals of cyclopropane ring. The1H NMR (600 MHz) method showed detection limits comparable with those of full scan GC-MS, and it allowed the identification and quantitation of the cyclopropane fatty acids in different foods.