Sciarrillo Rosaria

Prof. Dr. Sciarrillo Rosaria

University of Sannio, Department of Science and Technology
orcid

Research Focus & Metrics

Academic Career Length

35Years (1992-Present)

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

Representative Publications

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8 August 2019 in Scientific Reports
Verified
Journal Article
Open access
PDF file
CARMINE GUARINOCARMINE GUARINO
CARMINE GUARINO
Daniela ZuzoloDaniela Zuzolo
Daniela Zuzolo
MMMario Marziano
Mario Marziano
BCBarbara Conte
Barbara Conte
GBGiuseppe Baiamonte
Giuseppe Baiamonte
SRSciarrillo Rosaria
Sciarrillo Rosaria
Native plant species were screened for their remediation potential for the removal of Polycyclic Aromatic Hydrocarbons (PAHs) contaminated soil of Bagnoli brownfield site (Southern Italy). Soils at this site contain all of the PAHs congeners at concentration levels well above the contamination threshold limits established by Italian environmental legislation for residential/recreational land use, which represent the remediation target. The concentration of 13 High Molecular Weight Polycyclic Aromatic Hydrocarbons in soil rhizosphere, plants roots and plants leaves was assessed in order to evaluate native plants suitability for a gentle remediation of the study area. Analysis of soil microorganisms are provides important knowledge about bioremediation approach. Alphaproteobacteria, Betaproteobacteria, Gammaproteobacteria are the main phyla of bacteria observed in polluted soil. Functional metagenomics showed changes in dioxygenases, laccase, protocatechuate, and benzoate-degrading enzyme genes. Indolacetic acid production, siderophores release, exopolysaccharides production and ammonia production are the key for the selection of the rhizosphere bacterial population. Our data demonstrated that the natural plant-bacteria partnership is the best strategy for the remediation of a PAHs-contaminated soil.


5 February 2022 in Trends in Food Science & Technology
Verified
Journal Article
Closed access
Pierpaolo ScaranoPierpaolo Scarano
Pierpaolo Scarano
SRSciarrillo Rosaria
Sciarrillo Rosaria
MTMaria Tartaglia
Maria Tartaglia
Daniela ZuzoloDaniela Zuzolo
Daniela Zuzolo
CARMINE GUARINOCARMINE GUARINO
CARMINE GUARINO

1 February 2018 in Ecotoxicology and Environmental Safety
Verified
Journal Article
Closed access
Francesco GuarinoFrancesco Guarino
Francesco Guarino
BCBarbara Conte
Barbara Conte
Giovanni ImprotaGiovanni Improta
Giovanni Improta
SRSciarrillo Rosaria
Sciarrillo Rosaria
Stefano CastiglioneStefano Castiglione
Stefano Castiglione
CARMINE GUARINOCARMINE GUARINO
CARMINE GUARINO

Verified
Journal Article
Open access
PDF file
MTmaria tartaglia
maria tartaglia
FBFelipe Bastida
Felipe Bastida
SRSciarrillo Rosaria
Sciarrillo Rosaria
CARMINE GUARINOCARMINE GUARINO
CARMINE GUARINO
Soil is a complex matrix where biotic and abiotic components establish a still unclear network involving bacteria, fungi, archaea, protists, protozoa, and roots that are in constant communication with each other. Understanding these interactions has recently focused on metagenomics, metatranscriptomics and less on metaproteomics studies. Metaproteomic allows total extraction of intracellular and extracellular proteins from soil samples, providing a complete picture of the physiological and functional state of the “soil community”. The advancement of high-performance mass spectrometry technologies was more rapid than the development of ad hoc extraction techniques for soil proteins. The protein extraction from environmental samples is biased due to interfering substances and the lower amount of proteins in comparison to cell cultures. Soil sample preparation and extraction methodology are crucial steps to obtain high-quality resolution and yields of proteins. This review focuses on the several soil protein extraction protocols to date to highlight the methodological challenges and critical issues for the application of proteomics to soil samples. This review concludes that improvements in soil protein extraction, together with the employment of ad hoc metagenome database, may enhance the identification of proteins with low abundance or from non-dominant populations and increase our capacity to predict functional changes in soil.