Alessandro Nardi

Dr. Alessandro Nardi

Dipartimento di Scienze della Vita e dell’Ambiente (DISVA), Università Politecnica delle Marche, via Brecce Bianche, 60131 Ancona, Italy
orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

View All Publications
1 February 2017 in Chemosphere
Verified
Journal Article
Closed access
Alessandro NardiAlessandro Nardi
Alessandro Nardi
LMLuana Fiorella Mincarelli
Luana Fiorella Mincarelli
MBMaura Benedetti
Maura Benedetti
Daniele FattoriniDaniele Fattorini
Daniele Fattorini
GDGiuseppe D'ERrico
Giuseppe D'ERrico
FRFrancesco Regoli
Francesco Regoli

1 May 2014 in Marine Environmental Research
Verified
Journal Article
Closed access
FRFrancesco Regoli
Francesco Regoli
DPDavid Pellegrini
David Pellegrini
ACAnna Maria Cicero
Anna Maria Cicero
MNMarco Nigro
Marco Nigro
MBMaura Benedetti
Maura Benedetti
GFGiada Frenzilli
Giada Frenzilli

8 July 2019 in Frontiers in Marine Science
Verified
Journal Article
Open access
PDF file
FRFrancesco Regoli
Francesco Regoli
GDGiuseppe D’eRrico
Giuseppe D’eRrico
Alessandro NardiAlessandro Nardi
Alessandro Nardi
MMMarica Mezzelani
Marica Mezzelani
Daniele FattoriniDaniele Fattorini
Daniele Fattorini
SGStefania Gorbi
Stefania Gorbi
Multidisciplinary investigations based on integration of chemical and biological measurements, represent an added value to monitoring and management protocols, and their use is recommended by European Directives to evaluate the environmental status of aquatic ecosystems. However, assessing the overall significance of results obtained in different typologies of studies is often a difficult challenge. The aim of this work was to present a quantitative Weight Of Evidence (WOE) model (Sediqualsoft) to integrate huge amounts of heterogeneous data and to validate this approach in complex monitoring scenarios. Using the case-study of an off-shore platform field in the Adriatic Sea, procedures are presented to elaborate different typologies of data (lines of evidence, LOEs), including chemical characterization of sediments, bioavailability, biomarkers, ecotoxicological bioassays and benthic communities around three platforms. These data are initially evaluated by logical flowcharts and mathematical algorithms, which provide specific hazard indices for each considered LOE, before their different weighting and overall integration in an environmental risk index. The monitoring study selected for the WOE elaboration consisted on chemical analyses of trace metals, aliphatic hydrocarbons, polycyclic aromatic hydrocarbons carried out on 60 sediment samples; the same samples were also characterized for the status of benthic communities; bioavailability of metals from sediments was assessed in laboratory conditions on the polychaete Hediste diversicolor, while bioaccumulation of inorganic and organic chemicals and biomarker responses were measured in native and transplanted mussels; ecotoxicological properties of sediments were evaluated through a battery of bioassays determining algal growth of the diatom Phaeodactylum tricornutum, bioluminescence of the marine bacterium Vibrio fischeri, survival of the copepod Acartia tonsa and embryotoxicity of sea urchin Paracentrotus lividus. Overall, almost 7000 analytical results were elaborated and summarized in specific hazard indices. The WOE integration of multiple typologies of data allowed more robust and weighted conclusions compared to the use of individual LOEs, highlighting the feasibility of this procedure for multidisciplinary monitoring and risk assessment approaches. On a practical side, the WOE evidences also suggested a revision of actual monitoring procedures. Overall, the proposed WOE model appeared as a useful tool to summarize large datasets of complex data in integrative indices, and to simplify the interpretation for stakeholders and decision makers, thus supporting a more comprehensive process of “site-oriented” management decisions.

1 March 2018 in Aquatic Toxicology
Verified
Journal Article
Closed access
Alessandro NardiAlessandro Nardi
Alessandro Nardi
MBMaura Benedetti
Maura Benedetti
Daniele FattoriniDaniele Fattorini
Daniele Fattorini
FRFrancesco Regoli
Francesco Regoli

1 November 2018 in Aquatic Toxicology
Verified
Journal Article
Closed access
Alessandro NardiAlessandro Nardi
Alessandro Nardi
MBMaura Benedetti
Maura Benedetti
GDGiuseppe D’errico
Giuseppe D’errico
Daniele FattoriniDaniele Fattorini
Daniele Fattorini
FRFrancesco Regoli
Francesco Regoli

1 January 2021 in Environment International
Verified
Journal Article
Open access
MMMarica Mezzelani
Marica Mezzelani
Alessandro NardiAlessandro Nardi
Alessandro Nardi
IBIlaria Bernardini
Ilaria Bernardini
MMMassimo Milan
Massimo Milan
LPLuca Peruzza
Luca Peruzza
FRFrancesco Regoli
Francesco Regoli
Contaminants of emerging concern and ocean changes are key environmental stressors for marine species with possibly synergistic, but still unexplored, deleterious effects. In the present study the influence of a simulated ocean acidification scenario (pH = 7.6) was investigated on metabolism and sub-lethal effects of carbamazepine, CBZ (1 µg/L), chosen as one of the most widely diffused pharmaceuticals in marine organisms. A multidisciplinary approach was applied on mussels, M. galloprovincialis, integrating measurement of drug bioaccumulation with changes in the whole transcriptome, responsiveness of various biochemical and cellular biomarkers including immunological parameters, lipid and oxidative metabolism, onset of genotoxic effects. Chemical analyses revealed a limited influence of hypercapnia on accumulation and excretion of CBZ, while a complex network of biological responses was observed in gene expression profile and functional changes at cellular level. The modulation of gamma-aminobutyric acid (GABA) pathway suggested similarities with the Mechanism of Action known for vertebrates: immune responses, cellular homeostasis and oxidative system represented the processes targeted by combined stressors. The overall elaboration of results through a quantitative Weight of Evidence model, revealed clearly increased cellular hazard due to interactions of CBZ with acidification compared to single stressors.