Publications by authors named "Stefania Tronci"
Article Synopsis
- The study examined how different heat treatments (thermization at 57°C and 68°C) and ripening times (105 and 180 days) affect cheese metabolite profiles by analyzing 95 cheese samples using GC-MS.
- Statistical methods, including ANOVA and PLS-DA, were used to identify significant changes in compound levels due to the treatments, achieving around 76% accuracy in classification.
- Key findings showed that amino acids and an endocannabinoid were mainly influenced by ripening time, while biogenic amines and saccharides were significantly impacted by the heat treatment process.
Article Synopsis
- The study analyzed Pecorino Romano cheese for seasonal differences in fatty acids and minerals by examining samples from January, April, and June, noting some samples had missing data.
- Probabilistic principal component analysis and Linear Discriminant Analysis were used to effectively classify the samples by production season, even with incomplete data.
- Key findings showed higher levels of beneficial fatty acids in spring, while the accuracy of the classification model reached 98%, and the imputation of missing data achieved an impressive 99.53% accuracy.
Article Synopsis
- * It highlights four case studies: brewer's spent grain and coffee grounds, focusing on specific valuable compounds obtained from each, such as phenolic and fatty acids.
- * Additionally, the research explores underutilized plants like burdock and willow for their high-value extracts and analyzes modern, sustainable extraction methods to enhance the utilization of biowaste.
An experimental investigation is here presented on the photo-electrochemical removal of Methyl Orange (MO), selected as a model of the organic dyes, contained in wastewaters. The process is carried out in an electrochemical flow reactor, in which titania nanotubular electrode is irradiated with a simulated solar light. Design of Experiments (DOE) technique is used to plan the experimental campaign and investigate on the single and combined effects of applied current, electrolyte flow rate, and initial MO concentration, on the specific reaction rate.
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- * One of the challenges in continuous processing is ensuring that quality standards are met despite variations during production, making the measurement of key performance indicators crucial.
- * This study utilizes a tomographic ultrasonic velocity meter to analyze the rheological properties of a non-Newtonian fluid, employing a data-driven methodology that combines principal component analysis and feedforward neural networks for enhanced decision-making in the process.