Eleonora Iaccheri

Dr. Eleonora Iaccheri


Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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1 February 2015 in Journal of Food Engineering
Verified
Journal Article
Closed access
EIEleonora Iaccheri
Eleonora Iaccheri
Luca LaghiLuca Laghi
Luca Laghi
CCChiara Cevoli
Chiara Cevoli
ABAnnachiara Berardinelli
Annachiara Berardinelli
LRLuigi Ragni
Luigi Ragni
Pietro RocculiPietro Rocculi
Pietro Rocculi

1 May 2013 in Journal of Food Engineering
Verified
Journal Article
Closed access
LRLuigi Ragni
Luigi Ragni
EIEleonora Iaccheri
Eleonora Iaccheri
CCChiara Cevoli
Chiara Cevoli
ABAnnachiara Berardinelli
Annachiara Berardinelli
ABAlessandra Bendini
Alessandra Bendini
TTTullia Gallina Toschi
Tullia Gallina Toschi

1 October 2016 in Innovative Food Science & Emerging Technologies
Verified
Journal Article
Closed access
LRLuigi Ragni
Luigi Ragni
ABAnnachiara Berardinelli
Annachiara Berardinelli
EIEleonora Iaccheri
Eleonora Iaccheri
GGGiorgia Gozzi
Giorgia Gozzi
CCChiara Cevoli
Chiara Cevoli
Lucia VanniniLucia Vannini
Lucia Vannini

14 July 2022 in Sensors
Verified
Journal Article
Open access
PDF file
EIEleonora Iaccheri
Eleonora Iaccheri
Massimiliano VaraniMassimiliano Varani
Massimiliano Varani
LRLuigi Ragni
Luigi Ragni
A cheap technique based on an open-ended coaxial probe together with a vector network analyzer was set up. The vector network analyzer NanoVNA, a very tiny handheld device, is the affordable component that gives the instrumental chain a cost-effective perspective. The open-ended coaxial probe is a cable with an SMA gold-plated termination. User-friendly programs can be used to calibrate the instrument, carry out the measurements, and save data on PC. Simple liquid solutions (sodium chloride, citric acids, and saccharose) and more complex liquid food (milk, egg products, and fruit juice) were investigated. In addition, the temperature on the electric measurement of milk was measured to evaluate a possible influence for refrigerated storage products. The reflection parameters, such as the real and imaginary parts of S11, were used to build univariate and multivariate models. The best results in terms of coefficient of determination and related error were 0.997 (RMSE 0.05%) for sodium chloride and 0.965 (RMSE 0.71 °Brix) for fruit juice considering the univariate model, and 0.997 (RMSE 0.04%) for sodium chloride and 0.981 (RMSE 4.44%) for yolk using multivariate analysis. The proposed solution is non-destructive, cheap, rapid, and very attractive for potential lab and industrial applications.
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11 September 2022 in Journal of Food Engineering
Verified
Journal Article
Closed access
EIEleonora Iaccheri
Eleonora Iaccheri
VSValentina Siracusa
Valentina Siracusa
LRLuigi Ragni
Luigi Ragni
Ana Cristina PinheiroAna Cristina Pinheiro
Ana Cristina Pinheiro
SRSantina Romani
Santina Romani
PSPaulo José Do Amaral Sobral
Paulo José Do Amaral Sobral