Online system for the identification and classification of olive fruits for the olive oil production process

In the present work, the emission and the absorption spectra of numerous Greek olive oil samples and mixtures of them, obtained by two spectroscopic techniques, namely Laser-Induced Breakdown Spectroscopy (LIBS) and Absorption Spectroscopy, and aided by machine learning algorithms, were employed for the discrimination/classification of olive oils regarding their geographical origin. Both emission and absorption spectra were initially preprocessed by means of Principal Component Analysis (PCA) and were subsequently used for the construction of predictive models, employing Linear Discriminant Analysis (LDA) and Support Vector Machines (SVM). All data analysis methodologies were validated by both “k-fold” cross-validation and external validation methods. In all cases, very high classification accuracies were found, up to 100%. The present results demonstrate the advantages of machine learning implementation for improving the capabilities of these spectroscopic techniques as tools for efficient olive oil quality monitoring and control.

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Supercritical CO2 Extraction of Phytocompounds from Olive Pomace Subjected to Different Drying Methods

Molecules ◽

10.3390/molecules26030598 ◽

2021 ◽

Vol 26 (3) ◽

pp. 598

Author(s):

Graziana Difonzo ◽

Antonella Aresta ◽

Pietro Cotugno ◽

Roberta Ragni ◽

Giacomo Squeo ◽

...

Keyword(s):

Olive Oil ◽

Freeze Drying ◽

Oil Production ◽

Production Costs ◽

Drying Methods ◽

Olive Pomace ◽

Hot Air Drying ◽

Air Drying ◽

Hot Air ◽

Pharmaceutical Industries

Olive pomace is a semisolid by-product of olive oil production and represents a valuable source of functional phytocompounds. The valorization of agro-food chain by-products represents a key factor in reducing production costs, providing benefits related to their reuse. On this ground, we herein investigate extraction methods with supercritical carbon dioxide (SC-CO2) of functional phytocompounds from olive pomace samples subjected to two different drying methods, i.e., freeze drying and hot-air drying. Olive pomace was produced using the two most common industrial olive oil production processes, one based on the two-phase (2P) decanter and one based on the three-phase (3P) decanter. Our results show that freeze drying more efficiently preserves phytocompounds such as α-tocopherol, carotenoids, chlorophylls, and polyphenols, whereas hot-air drying does not compromise the β-sitosterol content and the extraction of squalene is not dependent on the drying method used. Moreover, higher amounts of α-tocopherol and polyphenols were extracted from 2P olive pomace, while β-sitosterol, chlorophylls, and carotenoids were more concentrated in 3P olive pomace. Finally, tocopherol and pigment/polyphenol fractions exerted antioxidant activity in vitro and in accelerated oxidative conditions. These results highlight the potential of olive pomace to be upcycled by extracting from it, with green methods, functional phytocompounds for reuse in food and pharmaceutical industries.

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Intergraded Applied Methodology for the Treatment of Heavy Polluted Waste Waters from Olive Oil Industries

Applied and Environmental Soil Science ◽

10.1155/2011/537814 ◽

2011 ◽

Vol 2011 ◽

pp. 1-14 ◽

Cited By ~ 5

Author(s):

Antonis A. Zorpas ◽

Vassilis J. Inglezakis

Keyword(s):

Olive Oil ◽

Oil Production ◽

Olive Mill Wastewater ◽

Fenton Process ◽

Waste Waters ◽

Warm Climate ◽

Climate Conditions ◽

Integrated Method ◽

Third Stage ◽

Olive Mill

The annual olive oil production in Cyprus is in the range of 2700–3100 t y−1, resulting in the generation of significant amount of waste. The cocomposting of the olive oil solid residue (OOSR) and the treated wastewaters (with Fenton) from the olive oil production process with the application of reed beds has been studied as an integrated method for the treatment of wastewater containing high organic and toxic pollutants under warm climate conditions. The experimental results indicated that the olive mill wastewater (OMW) is detoxified at the end of the Fenton process. Specifically, COD is reduced up to 65% (minimum 54.32%) by the application of Fenton and another 10–28% by the application of red beds as a third stage. The final cocomposted material of OOSR with the treated olive mile wastewater (TOMW) presents optimum characteristics and is suitable for agricultural purpose.

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Fast-HPLC Fingerprinting to Discriminate Olive Oil from Other Edible Vegetable Oils by Multivariate Classification Methods

Journal of AOAC International ◽

10.5740/jaoacint.16-0411 ◽

2017 ◽

Vol 100 (2) ◽

pp. 345-350 ◽

Cited By ~ 7

Author(s):

Ana M Jiménez-Carvelo ◽

Antonio González-Casado ◽

Estefanía Pérez-Castaño ◽

Luis Cuadros-Rodríguez

Keyword(s):

Olive Oil ◽

Vegetable Oils ◽

Edible Oils ◽

Support Vector ◽

Classification Methods ◽

Multivariate Classification ◽

Chromatographic Fingerprint ◽

K Nearest Neighbors ◽

Pls Discriminant Analysis

Abstract A new analytical method for the differentiation of olive oil from other vegetable oils using reversed-phaseLC and applying chemometric techniques was developed. A 3 cm short column was used to obtain the chromatographic fingerprint of the methyl-transesterified fraction of each vegetable oil. The chromatographic analysis tookonly 4 min. The multivariate classification methods used were k-nearest neighbors, partial least-squares (PLS) discriminant analysis, one-class PLS, support vector machine classification, and soft independent modeling of class analogies. The discrimination of olive oil from other vegetable edible oils was evaluated by several classification quality metrics. Several strategies for the classification of the olive oil wereused: one input-class, two input-class, and pseudo two input-class.

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