New Trends in Olive Oil and Table Olives: Quality, Safety, Authenticity, and Nutritional Properties

A special issue of Foods (ISSN 2304-8158). This special issue belongs to the section "Plant Foods".

Deadline for manuscript submissions: closed (31 August 2023) | Viewed by 3430

Special Issue Editors


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Guest Editor
Associate Professor, Department of Agricultural, Food, and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
Interests: food authentication; food contaminants; edible oil characterization; food fraud identification; liquid chromatography; mass spectrometry; bioactive compounds
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Agricultural, Food, and Environmental Sciences, Università Politecnica delle Marche, Via Brecce Bianche, 60131 Ancona, Italy
Interests: food bioactive compounds; functional foods; food technology
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Olive oil and table olives are characteristic foods of the Mediterranean Basin. Olive oil, especially the extra-virgin olive oil category, is also universally considered the gold standard in nutrition among the edible vegetable oils. Most of its health benefits are linked to its antioxidant compound content and improved fatty acid composition, as olive fruits are high in monounsaturated fatty acids. Additionally, because of their economic and nutritional significance, research continuously focuses not only on the quality/safety improvement of both olive oil and table olives, but also on their health benefits in the prevention or treatment of noncommunicable diseases. Additionally, the development of new and/or updated analytical approaches is also required to improve consumer protection and to guarantee authenticity of olive oil and table olives.

In this Special Issue, we invite researchers to provide original research articles, reviews and clinical reports that relate to:

  • Identification/characterization of bioactive compounds;
  • Impact of environmental and genetic factors and emerging technological treatments on nutritional properties;
  • Nutritional and health aspects of olive oil and table olive consumption;
  • Methods for determining the authenticity/quality/nutritional properties of olive oil and table olives;
  • Characterization and quantitation of traditional and emerging contaminants.

We are open to submissions of articles from researchers in a wide range of fields, such as food chemistry, food technology, biochemistry, medicine, nutrition and epidemiology.

We want to make this Special Issue a valued accumulation of new knowledge in this field.

Dr. Paolo Lucci
Prof. Dr. Deborah Pacetti
Guest Editors

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Keywords

  • olive oil
  • table olives
  • food analysis
  • phenolic compounds
  • antioxidants
  • analytical methods
  • authenticity
  • normative
  • frauds
  • quality

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Published Papers (2 papers)

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Research

13 pages, 673 KiB  
Article
Exploring Strategies to Mitigate the Lightness Effect on the Prediction of Soybean Oil Content in Blends of Olive and Avocado Oil Using Smartphone Digital Image Colorimetry
by Isabella Marques de Carvalho, Yhan da Silva Mutz, Amanda Cristina Gomes Machado, Amanda Aparecida de Lima Santos, Elisângela Jaqueline Magalhães and Cleiton Antônio Nunes
Foods 2023, 12(18), 3436; https://doi.org/10.3390/foods12183436 - 15 Sep 2023
Cited by 4 | Viewed by 1261
Abstract
Extra virgin olive oil (EVOO) and avocado oil (AVO) are recognized for their unique sensory characteristics and bioactive compounds. Declared blends with other vegetable oils are legal, but undeclared mixing is a common type of fraud that can affect product quality and commercialization. [...] Read more.
Extra virgin olive oil (EVOO) and avocado oil (AVO) are recognized for their unique sensory characteristics and bioactive compounds. Declared blends with other vegetable oils are legal, but undeclared mixing is a common type of fraud that can affect product quality and commercialization. In this sense, this study explored strategies to mitigate the influence of lighting in order to make digital image colorimetry (DIC) using a smartphone more robust and reliable for predicting the soybean oil content in EVOO and AVO blends. Calibration models were obtained by multiple linear regression using the images’ RGB values. Corrections based on illuminance and white reference were evaluated to mitigate the lightness effect and improve the method’s robustness and generalization capability. Lastly, the prediction of the built model from data obtained using a distinct smartphone was assessed. The results showed models with good predictive capacities, R2 > 0.9. Generally, models solely based on GB values showed better predictive performances. The illuminance corrections and blank subtraction improved the predictions of EVOO and AVO samples, respectively, for image acquisition from distinct smartphones and lighting conditions as evaluated by external validation. It was concluded that adequate data preprocessing enables DIC using a smartphone to be a reliable method for analyzing oil blends, minimizing the effects of variability in lighting and imaging conditions and making it a potential technique for oil quality assurance. Full article
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16 pages, 1756 KiB  
Article
The Introduction of Allochthonous Olive Variety and Super High-Density System in the Abruzzo Region: A Study on Olive Oil Quality
by Federica Flamminii, Sara Gaggiotti, Alessandro Chiaudani, Dario Compagnone and Angelo Cichelli
Foods 2023, 12(6), 1292; https://doi.org/10.3390/foods12061292 - 17 Mar 2023
Viewed by 1660
Abstract
The transition to a sustainable economic and environmental management of olive oil sector needs to be implemented in both national and regional territories through the introduction and development of innovative growing systems and variety. In this study, the olive oil quality parameters of [...] Read more.
The transition to a sustainable economic and environmental management of olive oil sector needs to be implemented in both national and regional territories through the introduction and development of innovative growing systems and variety. In this study, the olive oil quality parameters of local and allochthonous varieties cultivated in different orchards located in the Abruzzo region (Italy), using traditional and super high-density systems, were analyzed. Frantene, Lecciana, Koroneiki, and a mix of Arbequina and Lecciana provided olive oils rich in flavonoids and secoiridoids compounds with respect to the local varieties Frantoio, Leccino, and a mix of Dritta, Leccino, and Pendolino. Oleic/linoleic ratio was influenced by cultivar and training systems with super high-density olive oils rich in oleic acid. Frantene showed a peculiar fatty acid profile different from cultivars grown in the same location; moreover, interesting similarities were found between Frantene and the mix of Dritta, Leccino, and Pendolino in terms of health-related compounds. The potential development of innovative sustainable training system to improve olive oil quality was highlighted. The study’s results identify olive varieties suitable for super high-density systems spread in the Abruzzo region, representing a valid alternative for the olive growers to improve both the quality of the olive oil, as well as the company’s income. Full article
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