The Influence of Growing Region on Fatty Acids and Sterol Composition of Iranian Olive Oils by Unsupervised Clustering Methods

2011 ◽  
Vol 89 (3) ◽  
pp. 371-378 ◽  
Author(s):  
Z. Piravi-Vanak ◽  
Jahan B. Ghasemi ◽  
M. Ghavami ◽  
H. Ezzatpanah ◽  
E. Zolfonoun
Keyword(s):  
Fatty Acids ◽  
Sterol Composition ◽  
Unsupervised Clustering ◽  
Clustering Methods ◽  
Olive Oils ◽  
Growing Region

scholarly journals Fatty Acids and Phenolic Profiles of Extravirgin Olive Oils from Selected Italian Cultivars Introduced in Southwestern Province of Pakistan

2019 ◽  
Vol 68 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Sabeena Rizwan ◽  
Cinzia Benincasa ◽  
Khalid Mehmood ◽  
Shaista Anjum ◽  
Zahid Mehmood ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Olive Oils ◽  
Phenolic Profiles

scholarly journals Deterioration of Extra Virgin Olive Oil Caused by Different Processes

2017 ◽  
Vol 6 (5) ◽  
pp. 59 ◽  
Author(s):  
Nadia Segura ◽  
Yenny Pinchak ◽  
Natalie Merlinski ◽  
Miguel Amarillo ◽  
Camila Feller ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Oxidative Stability ◽  
Antioxidant Capacity ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Natural Antioxidants ◽  
Extra Virgin Olive Oil ◽  
Total Phenols ◽  
Olive Oils ◽  
Useful Life

Extra virgin olive oil is recognized as a very stable oil because of its composition in fatty acids and its content in natural antioxidants (tocopherols and polyphenols). In the bibliography are works that address different aspects of this stability, from the duration of its useful life to its performance in the frying of foods. Some works also link their stability with the content of natural antioxidants. For example, Franco et al. (2014) studied the content of phenols and their antioxidant capacity in olive oils of seven different varieties. Baccouri et al. (2008) found a good correlation between the oxidative stability (measured in Rancimat) of the oils studied and the concentration of total phenols and tocopherols.

scholarly journals Battery Sizing for Different Loads and RES Production Scenarios through Unsupervised Clustering Methods

Forecasting ◽  
2021 ◽  
Vol 3 (4) ◽  
pp. 663-681
Author(s):  
Alfredo Nespoli ◽  
Andrea Matteri ◽  
Silvia Pretto ◽  
Luca De De Ciechi ◽  
Emanuele Ogliari
Keyword(s):  
Power Generation ◽  
Renewable Energy Sources ◽  
Storage System ◽  
Energy Storage System ◽  
Hybrid Plant ◽  
Unsupervised Clustering ◽  
Clustering Methods ◽  
Pv System ◽  
Feasible Solutions ◽  
Battery Energy

The increasing penetration of Renewable Energy Sources (RESs) in the energy mix is determining an energy scenario characterized by decentralized power production. Between RESs power generation technologies, solar PhotoVoltaic (PV) systems constitute a very promising option, but their production is not programmable due to the intermittent nature of solar energy. The coupling between a PV facility and a Battery Energy Storage System (BESS) allows to achieve a greater flexibility in power generation. However, the design phase of a PV+BESS hybrid plant is challenging due to the large number of possible configurations. The present paper proposes a preliminary procedure aimed at predicting a family of batteries which is suitable to be coupled with a given PV plant configuration. The proposed procedure is applied to new hypothetical plants built to fulfill the energy requirements of a commercial and an industrial load. The energy produced by the PV system is estimated on the basis of a performance analysis carried out on similar real plants. The battery operations are established through two decision-tree-like structures regulating charge and discharge respectively. Finally, an unsupervised clustering is applied to all the possible PV+BESS configurations in order to identify the family of feasible solutions.

Restrictive Methods and Meta Methods for Thematically Focused Web Exploration

2011 ◽  
pp. 405-423
Author(s):  
Sergej Sizov ◽  
Stefan Siersdorfer
Keyword(s):  
Experimental Study ◽  
Probabilistic Model ◽  
Supervised Classification ◽  
Unsupervised Clustering ◽  
Use Case ◽  
Clustering Methods ◽  
Web Crawler ◽  
Web Documents ◽  
Case Examples ◽  
Expert Search

This chapter addresses the problem of automatically organizing heterogeneous collections of Web documents for the generation of thematically-focused expert search engines and portals. As a possible application scenario for our techniques, we consider a focused Web crawler that aims to populate topics of interest by automatically categorizing newly-fetched documents. A higher accuracy of the underlying supervised (classification) and unsupervised (clustering) methods is achieved by leaving out uncertain documents rather than assigning them to inappropriate topics or clusters with low confidence. We introduce a formal probabilistic model for ensemble-based meta methods and explain how it can be used for constructing estimators and for quality-oriented tuning. Furthermore, we provide a comprehensive experimental study of the proposed meta methodology and realistic use-case examples.

scholarly journals Lipids in Marine Ecosystems

2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Christopher C. Parrish
Keyword(s):  
Fatty Acids ◽  
Organic Contaminants ◽  
Essential Fatty Acids ◽  
Marine Ecosystems ◽  
Sterol Composition ◽  
Trophic Levels ◽  
Data Sets ◽  
Objective Interpretation ◽  
Marine Lipids ◽  
Pollutant Bioaccumulation

Lipids provide the densest form of energy in marine ecosystems. They are also a solvent and absorption carrier for organic contaminants and thus can be drivers of pollutant bioaccumulation. Among the lipids, certain essential fatty acids and sterols are considered to be important determinants of ecosystem health and stability. Fatty acids and sterols are also susceptible to oxidative damage leading to cytotoxicity and a decrease in membrane fluidity. The physical characteristics of biological membranes can be defended from the influence of changing temperature, pressure, or lipid peroxidation by altering the fatty acid and sterol composition of the lipid bilayer. Marine lipids are also a valuable tool to measure inputs, cycling, and loss of materials. Their heterogeneous nature makes them versatile biomarkers that are widely used in marine trophic studies, often with the help of multivariate statistics, to delineate carbon cycling and transfer of materials. Principal components analysis has a strong following as it permits data reduction and an objective interpretation of results, but several more sophisticated multivariate analyses which are more quantitative are emerging too. Integrating stable isotope and lipid data can facilitate the interpretation of both data sets and can provide a quantitative estimate of transfer across trophic levels.

scholarly journals Tradition Mills’ Picholine Olive Oil Physicochemical Characterization and Chemical Profiling across Different Cities in Morocco

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hamza El Moudden ◽  
Yousra El Idrissi ◽  
Chakir El Guezzane ◽  
Walid Belmaghraoui ◽  
Adil El Yadini ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Olive Oil ◽  
Unsaturated Fatty Acids ◽  
Physicochemical Characterization ◽  
Carotenoid Content ◽  
Chemical Compositions ◽  
Chlorophyll Contents ◽  
Chemical Profiling ◽  
Olive Oils

This study aims to determine the quality of olive oils (Picholine variety) from the traditional oil mills in different Moroccan cities by means of physicochemical characterization and chemical compositions. All samples of olive oil were collected from traditional oil mills. Physicochemical analyses of free fatty acid (FFA), iodine value (IV), saponification value (SV), specific extinction at 232 and 270 (E232, E270), chlorophyll content, carotenoid content, fatty acids (FAs), and total phytosterols composition were performed with respect to the International Olive Council (IOC) standards. These oils were revealed to be rich in unsaturated fatty acids (UFAs): C18 : 1, C18 : 2, and C18 : 3, and that the total phytosterols content ranged between 142.68 and 208.72 mg per 100 g of oil. Also, the chlorophyll contents, for most of the studied samples, are less than 2 mg/kg, while the carotenoid content varied between 0.13 and 0.63 mg/kg. These results, along with the physicochemical assays, helped classify the oils studied into three categories: extra virgin, virgin, and ordinary virgin olive oils. These results confirm that the conditions under which olive oils are collected, pressed, and stored influence the quality of the oil produced. Therefore, there is a need to inform producers about the correct practices and techniques for storage, processing, and conservation of oils to better improve the quality of the final product.

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