by Keyword: Olive oil
Fernandez, Luis, Oller-Moreno, Sergio, Fonollosa, Jordi, Garrido-Delgado, Rocio, Arce, Lourdes, Martin-Gomez, Andres, Marco, Santiago, Pardo, Antonio, (2025). Signal Preprocessing in Instrument-Based Electronic Noses Leads to Parsimonious Predictive Models: Application to Olive Oil Quality Control Sensors 25, 737 
Gas sensor-based electronic noses (e-noses) have gained considerable attention over the past thirty years, leading to the publication of numerous research studies focused on both the development of these instruments and their various applications. Nonetheless, the limited specificity of gas sensors, along with the common requirement for chemical identification, has led to the adaptation and incorporation of analytical chemistry instruments into the e-nose framework. Although instrument-based e-noses exhibit greater specificity to gasses than traditional ones, they still produce data that require correction in order to build reliable predictive models. In this work, we introduce the use of a multivariate signal processing workflow for datasets from a multi-capillary column ion mobility spectrometer-based e-nose. Adhering to the electronic nose philosophy, these workflows prioritized untargeted approaches, avoiding dependence on traditional peak integration techniques. A comprehensive validation process demonstrates that the application of this preprocessing strategy not only mitigates overfitting but also produces parsimonious models, where classification accuracy is maintained with simpler, more interpretable structures. This reduction in model complexity offers significant advantages, providing more efficient and robust models without compromising predictive performance. This strategy was successfully tested on an olive oil dataset, showcasing its capability to improve model parsimony and generalization performance.
JTD Keywords: Breath, Chromatography, Classification, Electronic nose, Hs-gc-ims, Ion mobility spectrometry, Mcc-ims-based e-nose, Olive oi, Olive oil, Parsimony, Preprocessing, Quality control, Selection, Signal processing workflow, System, Too, Validation, Wavelet
De Matteis, V, Rizzello, L, Ingrosso, C, Rinaldi, R, (2021). Purification of olive mill wastewater through noble metal nanoparticle synthesis: waste safe disposal and nanomaterial impact on healthy hepatic cell mitochondria Environmental Science And Pollution Research 28, 26154-26171
The exponential increase of waste derived from different human activities points out the importance of their reuse in order to create materials with specific properties that can be used for different applications. In this work, it was showed how the typical Mediterranean organic liquid waste, namely olive mill wastewater (OMWW), obtained during olive oil production, can be turned into an efficient reactive agent for the production of noble metals gold (Au) and silver nanoparticles (Ag NPs) with very well-defined physico-chemical properties. More than that, it was demonstrated that this synthetic procedure also leads to a drastic decrease of the organic pollution load of the OMWW, making it safer for environmental disposal and plants irrigation. Then, using healthy hepatic cell line mitochondria, the biological effects induced by these green metal NPs surrounded by a polyphenols shell, with the same NPs synthetized through a standard chemical colloidal reduction process, were compared, finding out that the green NPs are much safer.
JTD Keywords: antioxidants perturbation, green synthesis, gtpase dynamin-related protein 1 expression, mitochondria assessment, physico-chemical properties, Antioxidants perturbation, Green synthesis, Gtpase dynamin-related protein 1 expression, Hepatocytes, Humans, Industrial waste, Metal nanoparticles, Mitochondria, Mitochondria assessment, Olea, Olive oil, Physico-chemical properties, Reusability of waste, Silver, Waste disposal, fluid, Waste water, Wastewater
