Vasco Cadavez

Risk factors for sporadic listeriosis: A systematic review and meta-analysis

Fri, 17 Jul 2020 00:00:00 +0000

Topical Collection

Thu, 09 Jul 2020 00:00:00 +0000

Dear Colleagues,

Modern food science is supported by reliable research outcomes depicted or confirmed by data modelling and probability science. Although different types of models can be developed in food science, their objectives mostly revolve around explaining or representing physical, chemical, or biological phenomena in foods or food processes and/or estimating meaningful parameters that are necessary for simulation, prediction, control applications, or optimization/intervention strategies. The ever-growing computational resources available have stimulated the advances in food modelling. The modelling of food products and processes can vary in complexity, attending to factors such as the extent of knowledge on the inherent mechanisms and interactions to be described, the extent of uncertainty about food properties, and the intricacy of the dynamic processes/phenomena to be represented. In food science, models can be classified as inferential or predictive, static or dynamic, empirical or mechanistic, deterministic or stochastic, etc. This Topical Collection entitled “Food Modelling” seeks to gather work on new approaches and applications of modelling in diverse food science fields such as process development and optimization, food formulations, thermal and non-thermal processes, fermentation processes, safety and quality in the food chain, predictive microbiology and risk assessment, food control, heat and mass transfer in food engineering problems, sensory analysis, and chemometrics, among others. The Collection also welcomes submissions on the development of new meta-analysis methods and applications in food science, and the construction of open databases and/or software solutions.

Prof. Dr. Ursula Gonzales-Barron

Dr. Vasco Cadavez

Guest Editors

AgroStat2021: 16th Edition of the AgroStat Conference

Tue, 30 Jun 2020 00:00:00 +0000

Dear Colleagues,

The 16th Edition of the AgroStat Conference (AgroStat 2021) will be take place from the 8th to 11th June 2021 in the Polytechnic Institute of Bragança, and is organised by CIMO researchers, Vasco Cadavez and Ursula Gonzales-Barron, who act in the quality of Chairs of the event, alongside Pascal Schlich from the Centre des Sciences du Goût et de l’Alimentation (INRAE, France). Previous editions were held in France, Switzerland, Italy and Morocco.

AgroStat 2021 will bring together internationally recognised academic and industry representatives, to take stock of advances in data analysis for agro-sciences, including Sensometrics, Chemometrics, Experimental designs, Process control, Predictive Microbiology and Risk analysis, Meta-analysis, Big Data and Software tools. Abstracts submission is now open.

Vasco Cadavez

Ursula Gonzales-Barron

Strategy for systematic review of observational studies and meta-analysis modelling of risk factors for sporadic foodborne diseases

Thu, 25 Jul 2019 00:00:00 +0000

Classification of beef carcasses from Portugal using animal characteristics and pH/temperature decline descriptors

Tue, 01 Jan 2019 00:00:00 +0000

#Supplementary notes can be added here, including code and math.