Standardization of the quality of olive oil

2021 ◽  
pp. 596-599
Author(s):  
O.A. Rakhaev
Keyword(s):  
Quality Assessment ◽  
Olive Oil ◽  
Vegetable Oils ◽  
Member States ◽  
Codex Alimentarius ◽  
Interstate Standard

For the EAEU member states, olive oil is mainly an imported product, for which an acute problem is not only its identification, but also its quality assessment. The lack of an interstate standard for olive oil forces us to address to Codex Alimentarius standards and look for taxes in the regulations for other liquid vegetable oils.

scholarly journals Quality of olive oils and olive bagasse oil and their use in thermal processes

2021 ◽  
Vol 10 (2) ◽  
pp. e2310212031
Author(s):  
Andresa Caroline de Oliveira Cestario ◽  
Kamilla Ulchak Meira ◽  
Robinson Luiz Contiero ◽  
Cassia Inês Lourenzi Franco Rosa
Keyword(s):  
Medicinal Plants ◽  
Olive Oil ◽  
Room Temperature ◽  
The State ◽  
Thermal Processes ◽  
Toxic Substances ◽  
Codex Alimentarius ◽  
Olive Oils ◽  
Different Temperatures

Olive oil is recognized due to its different properties, however, its most used form is in cold preparation, as there is still the belief that, once heated, olive oil would lose its beneficial properties to health and even form toxic substances. Thus, in order to assess the quality of olive oils and olive bagasse oil subjected to different temperatures and their use in thermal processes, the present study was developed at the Laboratory of Medicinal Plants, belonging to the State University's Department of Agronomy of Maringá. The following analyzes were performed when the oils reached temperatures of 10, 25 (room temperature), 140, 180, 220 and 260°C: acidity, peroxide index, iodine index and measurement of absorbance at 232 and 270 nm (ultraviolet). After the results obtained are compared with the standards of Codex Alimentarius, the Agência Nacional de Vigilância Sanitária, the Ministério da Agricultura, Pecuária e Abastecimento and the International Olive Council, it is concluded that even after heating, in most of the evaluated parameters, the oils remained in compliance with legislation, which can then be used in thermal processes.

scholarly journals Quality Assessment and Biological Activity Evaluation of Different Brands of Olive Oil

2021 ◽  
pp. 20-28
Author(s):  
Ishraga Eltayeb M. A-Elbasit ◽  
Amna El Amin Mohammed Ahmed ◽  
Nuha Mohammed Elhassan Satti ◽  
Mohd. Imran
Keyword(s):  
Antioxidant Activity ◽  
Saudi Arabia ◽  
Quality Assessment ◽  
Olive Oil ◽  
Virgin Olive Oil ◽  
Pharmaceutical Products ◽  
Activity Data ◽  
Activity Evaluation ◽  
Dpph Method

Background: The quality of medicinal/food products is directly related to the consumer’s safety. Virgin Olive Oil (VOO) is a widely used oil in Saudi Arabia for cooking, frying, and salad dressing. It is also an ingredient of many pharmaceutical products. Therefore, its regular quality assessment is essential for the consumer’s safety. Objective: To assess standard quality parameters of the marketed VOO brands in the Rafha City of Saudi Arabia and to perform their antioxidant activity evaluation. Methodology: The different brands of VOO sold in the Rafha City of Saudi Arabia were collected from two supermarkets and one local shop. The quality of the different brands of the VOO was assessed for their physical appearance, solubility, relative density, refractive index, absorbance, acid value, and peroxide value. The standard procedures provided in the British Pharmacopeia (BP) were used to assess these parameters. The antioxidant activity of the oils was performed by the 2, 2-diphenyl-1-picrylhydrazyl (DPPH) method. Results: The VOO sample test results revealed no significant change in the studied parameter's standard values. The VOO samples presented compliance with the specification of VOO provided in the BP. The VOOs were also free of Sesame oil, which is one of the possible adulterants of the VOO. The antioxidant activity data of the VOO samples (IC50 = 107 to 110 mg oil) also matched with antioxidant activity data of the reference VOO (IC50 = 105 mg oil). The antimicrobial activity of the VOO samples and the reference VOO was also comparable. Conclusion: The different brands of the marketed VOO comply with the specification of VOO provided in the BP. They were suitable for their intended use/application.

Expert System for Quality Assessment of Electronic Book Exhibitions

2013 ◽  
pp. 32-39
Author(s):  
Svetlana V. Savkina
Keyword(s):  
Expert System ◽  
Quality Assessment ◽  
Electronic Book ◽  
Electronic Books ◽  
Comparison Of The Results

The article presents the results of testing the complex methodology of assessment of quality of electronic books exhibitions (EBE). The author describes the project of the expert system, allowing to implement the EBE assessment without the experts’ participation. There is given the comparison of the results of assessments, carried out by experts and by the expert system.

Quality of cytogenetic investigations: problems and ways for improvement

2020 ◽  
pp. 22-24
Author(s):  
В.Г. Антоненко ◽  
Н.В. Шилова ◽  
Е.Н. Лукаш ◽  
Э.Р. Бабкеева ◽  
В.Н. Малахов
Keyword(s):  
Quality Assessment ◽  
Russian Federation ◽  
Chromosomal Analysis ◽  
Common Causes

Представлены результаты экспертной оценки качества цитогенетических исследований в лабораториях РФ в системе межлабораторных сличительных испытаний «ФСВОК» в 2018-2019 гг. Обсуждаются наиболее частые причины неудовлетворительных результатов экспертизы и возможные пути улучшения качества цитогенетических исследований. We report the results of quality assessment for preparation of cytogenetic slides and chromosomal analysis in the laboratories of Russian Federation in the system of the interlaboratory comparative examinations “FSVOK” in 2018-2019. Common causes of poor results of assessment and the ways for improvement of quality for cytogenetic investigations are discussed.

ABOUT NECESSITY OF MATHEMATICAL MODELING OF THE BUSINESS PROCESS OF COST ESTIMATE CALCULATIONS IN THE CONSTRUCTION OF OIL AND GAS FACILITIES

2017 ◽  
pp. 139-145
Author(s):  
R. I. Hamidullin ◽  
L. B. Senkevich
Keyword(s):  
Mathematical Modeling ◽  
Quality Assessment ◽  
Business Process ◽  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Gas Industry ◽  
Construction Organizations ◽  
The Cost ◽  
Cost Of Construction

A study of the quality of the development of estimate documentation on the cost of construction at all stages of the implementation of large projects in the oil and gas industry is conducted. The main problems that arise in construction organizations are indicated. The analysis of the choice of the perfect methodology of mathematical modeling of the investigated business process for improving the activity of budget calculations, conducting quality assessment of estimates and criteria for automation of design estimates is performed.

Assessing Medical Evidence

2018 ◽  
Author(s):  
Jacob Stegenga
Keyword(s):  
Quality Assessment ◽  
Randomized Trials ◽  
Empirical Studies ◽  
Allocation Concealment ◽  
Assessment Tools ◽  
Medical Evidence ◽  
Empirical Methods ◽  
First Order ◽  
First Order Methods

Medical scientists employ ‘quality assessment tools’ to assess evidence from medical research, especially from randomized trials. These tools are designed to take into account methodological details of studies, including randomization, subject allocation concealment, and other features of studies deemed relevant to minimizing bias. There are dozens of such tools available. They differ widely from each other, and empirical studies show that they have low inter-rater reliability and low inter-tool reliability. This is an instance of a more general problem called here the underdetermination of evidential significance. Disagreements about the quality of evidence can be due to different—but in principle equally good—weightings of the methodological features that constitute quality assessment tools. Thus, the malleability of empirical research in medicine is deep: in addition to the malleability of first-order empirical methods, such as randomized trials, there is malleability in the tools used to evaluate first-order methods.

scholarly journals Quality Assessment of 3D Synthesized Images Based on Textural and Structural Distortion Estimation

2021 ◽  
Vol 11 (6) ◽  
pp. 2666
Author(s):  
Hafiz Muhammad Usama Hassan Alvi ◽  
Muhammad Shahid Farid ◽  
Muhammad Hassan Khan ◽  
Marcin Grzegorzek
Keyword(s):  
Quality Assessment ◽  
Mixed Reality ◽  
Depth Estimation ◽  
Poor Quality ◽  
Depth Image ◽  
Depth Maps ◽  
Structural Distortions ◽  
Image Quality Metric ◽  
Technological Constraints

Emerging 3D-related technologies such as augmented reality, virtual reality, mixed reality, and stereoscopy have gained remarkable growth due to their numerous applications in the entertainment, gaming, and electromedical industries. In particular, the 3D television (3DTV) and free-viewpoint television (FTV) enhance viewers’ television experience by providing immersion. They need an infinite number of views to provide a full parallax to the viewer, which is not practical due to various financial and technological constraints. Therefore, novel 3D views are generated from a set of available views and their depth maps using depth-image-based rendering (DIBR) techniques. The quality of a DIBR-synthesized image may be compromised for several reasons, e.g., inaccurate depth estimation. Since depth is important in this application, inaccuracies in depth maps lead to different textural and structural distortions that degrade the quality of the generated image and result in a poor quality of experience (QoE). Therefore, quality assessment DIBR-generated images are essential to guarantee an appreciative QoE. This paper aims at estimating the quality of DIBR-synthesized images and proposes a novel 3D objective image quality metric. The proposed algorithm aims to measure both textural and structural distortions in the DIBR image by exploiting the contrast sensitivity and the Hausdorff distance, respectively. The two measures are combined to estimate an overall quality score. The experimental evaluations performed on the benchmark MCL-3D dataset show that the proposed metric is reliable and accurate, and performs better than existing 2D and 3D quality assessment metrics.

Irrigation effects on phenolic profile and extra virgin olive oil quality of ''Chemlali'' variety grown in South Tunisia

2021 ◽  
Vol 141 ◽  
pp. 322-329
Author(s):  
Jihed Faghim ◽  
Mbarka Ben Mohamed ◽  
Mohamed Bagues ◽  
Kamel Nagaz ◽  
Tebra Triki ◽  
...  
Keyword(s):  
Olive Oil ◽  
Oil Quality ◽  
Virgin Olive Oil ◽  
Extra Virgin Olive Oil ◽  
Phenolic Profile ◽  
Olive Oil Quality ◽  
Irrigation Effects ◽  
South Tunisia

scholarly journals Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3279
Author(s):  
Maria Habib ◽  
Mohammad Faris ◽  
Raneem Qaddoura ◽  
Manal Alomari ◽  
Alaa Alomari ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Quality Assessment ◽  
Transcript Level ◽  
Assessment Process ◽  
Classification Model ◽  
Systematic Evaluation ◽  
Transcript Levels ◽  
Perceptual Evaluation

Maintaining a high quality of conversation between doctors and patients is essential in telehealth services, where efficient and competent communication is important to promote patient health. Assessing the quality of medical conversations is often handled based on a human auditory-perceptual evaluation. Typically, trained experts are needed for such tasks, as they follow systematic evaluation criteria. However, the daily rapid increase of consultations makes the evaluation process inefficient and impractical. This paper investigates the automation of the quality assessment process of patient–doctor voice-based conversations in a telehealth service using a deep-learning-based classification model. For this, the data consist of audio recordings obtained from Altibbi. Altibbi is a digital health platform that provides telemedicine and telehealth services in the Middle East and North Africa (MENA). The objective is to assist Altibbi’s operations team in the evaluation of the provided consultations in an automated manner. The proposed model is developed using three sets of features: features extracted from the signal level, the transcript level, and the signal and transcript levels. At the signal level, various statistical and spectral information is calculated to characterize the spectral envelope of the speech recordings. At the transcript level, a pre-trained embedding model is utilized to encompass the semantic and contextual features of the textual information. Additionally, the hybrid of the signal and transcript levels is explored and analyzed. The designed classification model relies on stacked layers of deep neural networks and convolutional neural networks. Evaluation results show that the model achieved a higher level of precision when compared with the manual evaluation approach followed by Altibbi’s operations team.

scholarly journals Understanding Completeness and Diversity Patterns of OSM-Based Land-Use and Land-Cover Dataset in China

2020 ◽  
Vol 9 (9) ◽  
pp. 531
Author(s):  
ShuZhu Wang ◽  
Qi Zhou ◽  
YuanJian Tian
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Quality Assessment ◽  
Socioeconomic Factors ◽  
Reference Dataset ◽  
Diversity Pattern ◽  
Diversity Patterns ◽  
Intrinsic Quality ◽  
Accuracy Measures

OpenStreetMap (OSM) data are considered essential for land-use and land-cover (LULC) mapping despite their lack of quality. Most relevant studies have employed an LULC reference dataset for quality assessment, but such a reference dataset is not freely available for most countries and regions. Thus, this study conducts an intrinsic quality assessment of the OSM-based LULC dataset (i.e., without using a reference LULC dataset) by examining the patterns of both its completeness and diversity. With China chosen as the study area, an OSM-based LULC dataset of the country was first generated and validated by using various accuracy measures. Both its completeness and diversity patterns were then mapped and analyzed in terms of each prefecture-level division of the country. The results showed the following: (1) While the overall accuracy was as high as 82.2%, most complete regions of China were not mapped well owing to a lack of diverse LULC classes. (2) In terms of socioeconomic factors and the number of contributors, higher correlations were noted for diversity patterns than completeness patterns; thus, the diversity pattern is a better reflection of socioeconomic factors and the spatial patterns of contributors. (3) Both the completeness and the diversity patterns can be combined to better understand an OSM-based LULC dataset. These results indicate that it is useful to consider diversity as a supplement for intrinsically assessing the quality of an OSM-based LULC dataset. This analytical method can also be applied to other countries and regions.

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