Katia Russo

Dr. Katia Russo

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

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

Representative Publications

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30 January 2025 in Foods
Verified
Journal Article
Open access
PDF file
Luisa GarofaloLuisa Garofalo
Luisa Garofalo
MSMarcello Giovanni Sala
Marcello Giovanni Sala
CFClaudia Focardi
Claudia Focardi
PPPatrizio Pasqualetti
Patrizio Pasqualetti
DDDaniela Delfino
Daniela Delfino
BNBruno Neri
Bruno Neri
The European Food Safety Authority (EFSA) monitors the presence and concentration of contaminants in food to mitigate health risks. EU legislation sets maximum levels of heavy metals in foods, including cadmium (Cd), lead (Pb), and total Hg (THg) in seafood, due to their toxicity. In the framework of official control, between 2014 and 2023, 5854 seafood samples were collected and 4300 analyses for THg, 3338 for Cd, and 2171 for Pb were performed using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and cold vapor atomic absorption spectrometry (CVAAS). The aim was to assess the proportion of contaminated foods in the dataset, the concentration of contaminants, and the potential health risks associated with their intake. Of the total samples analyzed, 142 (2.43%) were found to be non-compliant (n.c.). Concentrations exceeding the limits for Cd were primarily detected in cephalopods (n = 17), mainly squids. In contrast, Hg levels exceeded the limits in marine fish (n = 118), notably in swordfish (11.30% of n.c. samples among those analyzed for this species), sharks (6.48%), and tuna species (3.11%). Regarding Pb, only a single bivalve sample was found to exceed the maximum limits. A preliminary assessment of weekly exposure to Hg through swordfish consumption raised concerns about the frequent intake of marine top predators, particularly for vulnerable people.

19 September 2022 in Journal of Food Science
Verified
Journal Article
Open access
DDDaniela Delfino
Daniela Delfino
DLDario Lucchetti
Dario Lucchetti
TMTabita Mauti
Tabita Mauti
MMMarta Mancuso
Marta Mancuso
PGPaolo Di Giustino
Paolo Di Giustino
KRKatia Russo
Katia Russo
Ochratoxin A (OTA) is a mycotoxin produced by several species of Aspergillus and Penicillium and commonly detected in a wide range of foodstuffs. The purpose of this work was to monitor the presence of OTA in cheeses and pork meat products. A simple and accurate “dilute and shoot” method with no need of immunoaffinity column and isotopic labeled internal standard, by liquid chromatography–tandem mass spectrometry, was validated in accordance with the criteria set out in Commission Regulation (EC) No. 401/2006. The method showed good linearity in solvent and in matrix ( R 2 ≥ 0.995), limit of detection was 0.2 µg/kg for cheese and 0.3 µg/kg for pork meat products, limit of quantification was fixed at 1 µg/kg, and recovery was estimated at two different concentration levels (1 and 5 µg/kg) and ranged from 75% to 101%. The interday and intraday laboratory precisions were lower than 7%. The matrix effect, the recovery of the extraction process, and the overall process efficiency were evaluated. No significant ME was observed in the two matrices considered. This method was applied to the analysis of 75 samples, coming from official controls implemented by the Lazio Region (Central Italy). In one sample of dry‐cured ham, the concentration found (69.3 µg/kg) was well above the guidance value recommended by the Italian Ministry of Health (1 µg/kg). These data together with the detection of OTA in three grated cheeses suggest the importance of monitoring these products. Considering the high dietary intake of these matrices, especially among vulnerable populations, further research should be devoted to estimate exposure and risk assessment for OTA.

1 December 2021 in Phytochemistry Letters
Verified
Journal Article
Closed access
KRKatia Russo
Katia Russo
DLDario Lucchetti
Dario Lucchetti
DTDaniela Triolone
Daniela Triolone
PGPaolo Di Giustino
Paolo Di Giustino
MMMarta Mancuso
Marta Mancuso
BNBruno Neri
Bruno Neri

17 September 2024 in Journal of Food Composition and Analysis
Verified
Journal Article
Open access
DLDario Lucchetti
Dario Lucchetti
DDDaniela Delfino
Daniela Delfino
PGPaolo Di Giustino
Paolo Di Giustino
BDBarbara Droghei
Barbara Droghei
MMMarta Mancuso
Marta Mancuso
KRKatia Russo
Katia Russo

20 June 2025 in Journal of Xenobiotics
Verified
Journal Article
Open access
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TPTommaso Pacini
Tommaso Pacini
EVEmanuela Verdini
Emanuela Verdini
SOSerenella Orsini
Serenella Orsini
KRKatia Russo
Katia Russo
TMTabita Mauti
Tabita Mauti
Ivan PecorelliIvan Pecorelli
Ivan Pecorelli
The widespread use of agrochemicals raises concerns about environmental impacts, particularly on pollinators, such as bees, which serve as bioindicators of contamination. Developing methods to assess contamination risks in bioindicators supports regulatory frameworks, including EU regulations on the maximum residue limits (MRLs) for pesticides in food and the environment. This study presents the development and validation of two complementary analytical methods (LC–MS/MS and IC–HRMS) for highly polar pesticide (HPP) detection and quantification in bee matrices. Both methods were validated according to document SANTE/11312/2021 v2. LC–MS/MS was validated with a limit of quantification (LOQ) of 0.005 mg/kg for all the analytes. Repeatability at 0.005, 0.010, 0.020, and 0.100 mg/kg showed RSDr from 1.6% to 19.7% and recoveries between 70% and 119%. Interlaboratory precision at 0.020 mg/kg across two labs showed RSDR from 5.5% to 13.6%, with recoveries between 91% and 103%. The IC–HRMS method achieved LOQs of 0.01 mg/kg (glufosinate, N-acetyl glufosinate, MPPA, glyphosate, N-acetyl glyphosate, N-acetyl AMPA) and 0.1 mg/kg (fosetyl, phosphonic acid, AMPA), with mean recoveries in repeatability conditions from 84% to 114% and RSDr from 2% to 14%. Intralaboratory precision showed mean recoveries from 87% to 119%, with RSDwR values between 10% and 18%. These methods enable accurate monitoring of HPP contamination, supporting risk assessment and sustainable agriculture.

7 July 2025 in Environmental Advances
Verified
Journal Article
Open access
MGMara Gasparini
Mara Gasparini
MBMarialuisa Borgia
Marialuisa Borgia
TPTommaso Pacini
Tommaso Pacini
EVEmanuela Verdini
Emanuela Verdini
SOSerenella Orsini
Serenella Orsini
IPIvan Pecorelli
Ivan Pecorelli