Maria Campaniello

Dr. Maria Campaniello

orcid

Research Focus & Metrics

Academic Career Length

23Years (2004-Present)

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

Representative Publications

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30 October 2004 in Organic Letters
Verified
Journal Article
Closed access
PBPierre-Emmanuel Broutin
Pierre-Emmanuel Broutin
IČIgor Čerňa
Igor Čerňa
MCMaria Campaniello
Maria Campaniello
FLFrederic Leroux
Frederic Leroux
FCFrançoise Colobert
Françoise Colobert

1 May 2013 in Food Control
Verified
Journal Article
Closed access
MMMarilena Muscarella
Marilena Muscarella
SMSonia Lo Magro
Sonia Lo Magro
MCMaria Campaniello
Maria Campaniello
AAAntonio Armentano
Antonio Armentano
PSPaolo Stacchini
Paolo Stacchini


22 August 2019 in International Journal of Food Science and Technology
Verified
Journal Article
Open access
PDF file
MCMaria Campaniello
Maria Campaniello
GMGiuliana Marchesani
Giuliana Marchesani
Rosalia ZianniRosalia Zianni
Rosalia Zianni
MTMarina Tarallo
Marina Tarallo
MMMichele Mangiacotti
Michele Mangiacotti
ECEugenio Chiaravalle
Eugenio Chiaravalle
Summary: A rapid and simple procedure to detect irradiated food containing fat is proposed. This method is based on HS‐SPME coupled with GC‐MS to determine the presence of a radiolytic product in irradiated meats: 2‐dodecylcyclobutanone (2‐DCB) and is proposed as an alternative to EN 1785:2003, which is a long and complex procedure. The qualitative confirmation method is validated on different type of meats: chicken, turkey, duck, beef, pork on both nonirradiated and irradiated samples at different dose levels (0.05, 0.12, 0.5, 1.0 and 3.0 kGy) with a biological X‐ray irradiator. The validation parameters investigated are selectivity, minimum dose level (MDL), limit of detection (LOD), sensitivity and specificity. The MDL and LOD values were 0.5 kGy and 5.0 ng mL−1, respectively, for all matrices. No false positives or false negatives occurred, and 100% of samples were correctly identified. The results show that HS‐SPME GC‐MS is suitable for routine analysis.