Complex Assessment of Dairy and Meat Products Quality

2015 ◽  
Vol 13 (3-4) ◽  
pp. 7-19 ◽  
Author(s):  
Mirolyub Mladenov

Abstract This paper presents a new approach and a platform for complex, non-destructive, express evaluation of quality and safety of food products, based on analysis of visual images, spectral and hyperspectral characteristics, followed by fusion the results of these analyzes. The aim is categorization of the investigated products in quality groups. The complex evaluation includes: assessment of the appearance and visual characteristics of the investigated product, evaluation of properties associated with the product composition and with the distribution of the properties on its surface. The focus is on main indicators of quality and safety of basic foodstuffs, such as meat, structural bacon, white brined cheese and yellow cheese. The following main tasks are discussed: 1) The formal description of the investigated objects; 2) The extraction of specific quality features; 3) The evaluation of classes’ data separability; 4) The classification of the foodstuffs in quality groups.

2019 ◽  
Vol 62 ◽  
pp. 05001 ◽  
Author(s):  
O.V. Bakanach ◽  
N.V. Proskurina ◽  
Yu.A. Tokarev

This feasibility study proposes a new approach to the classification of data array concerning sustainable development of socio-environmental-economic systems (hereinafter referred to as SEES) in the area of large river basins. The developed methodology allows carrying out the integrated assessment and forecasting the principal results of the territorial entities functioning and is based on the socio-environmental-economic conditions and the use of multidimensional comparative analysis of the development of individual territories, which, in its turn, allows considering the regional characteristics of their development. The aim of the study is to determine the conceptual and methodological foundations of integrated assessment of SEES sustainable development in the area of a large river basin. The methods of logical analysis (deduction), non-parametric statistical multidimensional estimation (PATTERN method) and econometric modeling were used in this work. The novelty of the proposed approaches consists in the development of theoretical and methodological guidelines for further improvement of the mechanism of integrated assessment of SEES formation, forecasting its development and sustainable functioning at the regional level. The obtained results allow to rank the territories according to integrated assessment, as well as to develop regional strategic programs.


2020 ◽  
pp. 18-27
Author(s):  
D. A. Akimov ◽  
A. D. Kleymenov ◽  
S. O. Kozelskaya ◽  
O. N. Budadin

The article proposes a new approach to assessing the operational safety of materials and parts of complex structures based on artificial intelligence methods based on artificial neural networks and multi-criteria complex non-destructive testing, and special mathematical and algorithmic support for systems for evaluating operational safety and predicting residual life under external influences. A method of morphological analysis of the procedures for using measurement tools for heterogeneous information with different a priori information, both about the type of characteristics and the distribution of errors in the input and output signals, has been developed. The classification of problems of measuring parameters for the integration of heterogeneous information is proposed. A macromodel of error is obtained that can be used for research purposes to minimize errors in the developed equipment or for the purpose of correcting errors during operation. A classification of methods for measuring heterogeneous information from the standpoint of probability distribution theory is proposed. Experimental testing of developed algorithms tailored aggregation of information non-destructive testing and adaptation to poorly formalized parameters, which confirmed the effectiveness of the developed methods and algorithms for assessment of structures and resource forecasting their operational reliability was carried out.


2010 ◽  
Vol 21 (1) ◽  
pp. 140-144
Author(s):  
Olga Lucía Torres-Vargas ◽  
José Manuel Barat-Baviera ◽  
Marta Aliño

Composition of fresh and frozen meat products, specially fat content, is one of the parameters that is usually taken into account for different purposes such as classification of fresh and frozen meat pieces for fresh consume as well as for processing, price fixation and adequacy for processing. That is the reason why some different non destructive methods are used to determine, at least approximately, the meat composition. Among them, we can go from visual methods to the more complex resonance imaging and computed tomography image analysis. The aim of this study was to use density measurement as a non destructive, easy and cheap method to classify fresh and frozen meat with a wide range of fat content. The obtained results showed that there is asignificant relationship between density and fat content of fresh and frozen meat.


Author(s):  
Oleksandr Ostrohliad

Purpose. The aim of the work is to consider the novelties of the legislative work, which provide for the concept and classification of criminal offenses in accordance with the current edition of the Criminal Code of Ukraine and the draft of the new Code developed by the working group and put up for public discussion. Point out the gaps in the current legislation and the need to revise individual rules of the project in this aspect. The methodology. The methodology includes a comprehensive analysis and generalization of the available scientific and theoretical material and the formulation of appropriate conclusions and recommendations. During the research, the following methods of scientific knowledge were used: terminological, logical-semantic, system-structural, logical-normative, comparative-historical. Results In the course of the study, it was determined that despite the fact that the amendments to the Criminal Code of Ukraine came into force in July of this year, their perfection, in terms of legal technology, raises many objections. On the basis of a comparative study, it was determined that the Draft Criminal Code of Ukraine needs further revision taking into account the opinions of experts in the process of public discussion. Originality. In the course of the study, it was established that the classification of criminal offenses proposed in the new edition of the Criminal Code of Ukraine does not stand up to criticism, since other elements of the classification appear in subsequent articles, which are not covered by the existing one. The draft Code, using a qualitatively new approach to this issue, retains the elements of the previous classification and has no practical significance in law enforcement. Practical significance. The results of the study can be used in law-making activities to improve the norms of the current Criminal Code, to classify criminal offenses, as well as to further improve the draft Criminal Code of Ukraine.


2021 ◽  
Vol 11 (4) ◽  
pp. 1855
Author(s):  
Franco Guzzetti ◽  
Karen Lara Ngozi Anyabolu ◽  
Francesca Biolo ◽  
Lara D’Ambrosio

In the construction field, the Building Information Modeling (BIM) methodology is becoming increasingly predominant and the standardization of its use is now an essential operation. This method has become widespread in recent years, thanks to the advantages provided in the framework of project management and interoperability. Hoping for its complete dissemination, it is unthinkable to use it only for new construction interventions. Many are experiencing what happens with the so-called Heritage Building Information Modeling (HBIM); that is, how BIM interfaces with Architectural Heritage or simply with historical buildings. This article aims to deal with the principles and working methodologies behind BIM/HBIM and modeling. The aim is to outline the themes on which to base a new approach to the instrument. In this way, it can be adapted to the needs and characteristics of each type of building. Going into the detail of standards, the text also contains a first study regarding the classification of moldable elements. This proposal is based on current regulations and it can provide flexible, expandable, and unambiguous language. Therefore, the content of the article focuses on a revision of the thinking underlying the process, also providing a more practical track on communication and interoperability.


Metabolites ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 171
Author(s):  
Robert S. Barlow ◽  
Adam G. Fitzgerald ◽  
Joanne M. Hughes ◽  
Kate E. McMillan ◽  
Sean C. Moore ◽  
...  

The red meat supply chain is a complex network transferring product from producers to consumers in a safe and secure way. There can be times when fragmentation can arise within the supply chain, which could be exploited. This risk needs reduction so that meat products enter the market with the desired attributes. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) is a novel ambient mass spectrometry technique originally developed for rapid and accurate classification of biological tissue which is now being considered for use in a range of additional applications. It has subsequently shown promise for a range of food provenance, quality and safety applications with its ability to conduct ex vivo and in situ analysis. These are regarded as critical characteristics for technologies which can enable real-time decision making in meat processing plants and more broadly throughout the sector. This review presents an overview of the REIMS technology, and its application to the areas of provenance, quality and safety to the red meat industry, particularly in an Australian context.


Processes ◽  
2021 ◽  
Vol 9 (2) ◽  
pp. 196
Author(s):  
Araz Soltani Nazarloo ◽  
Vali Rasooli Sharabiani ◽  
Yousef Abbaspour Gilandeh ◽  
Ebrahim Taghinezhad ◽  
Mariusz Szymanek ◽  
...  

The purpose of this work was to investigate the detection of the pesticide residual (profenofos) in tomatoes by using visible/near-infrared spectroscopy. Therefore, the experiments were performed on 180 tomato samples with different percentages of profenofos pesticide (higher and lower values than the maximum residual limit (MRL)) as compared to the control (no pesticide). VIS/near infrared (NIR) spectral data from pesticide solution and non-pesticide tomato samples (used as control treatment) impregnated with different concentrations of pesticide in the range of 400 to 1050 nm were recorded by a spectrometer. For classification of tomatoes with pesticide content at lower and higher levels of MRL as healthy and unhealthy samples, we used different spectral pre-processing methods with partial least squares discriminant analysis (PLS-DA) models. The Smoothing Moving Average pre-processing method with the standard error of cross validation (SECV) = 4.2767 was selected as the best model for this study. In addition, in the calibration and prediction sets, the percentages of total correctly classified samples were 90 and 91.66%, respectively. Therefore, it can be concluded that reflective spectroscopy (VIS/NIR) can be used as a non-destructive, low-cost, and rapid technique to control the health of tomatoes impregnated with profenofos pesticide.


1985 ◽  
Vol 29 (2) ◽  
pp. 213 ◽  
Author(s):  
Rene T. A. Lysloff ◽  
Jim Matson
Keyword(s):  

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