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Food fraud is the urgent global policy issue. Vulnerability to fraud and adulteration in the food chain is increasing – inter alia as a result of COVID-19 pandemic. The aim of the study is to explore and compile data on non-compliance in the agri-food chain that mainly arise from adulterating food. The materials consulted for this article comprised: (1) scholarly journals; (2) data from DG SANTE; (3) EU FFN & AAC Reports; (4) RASFF Portal; (5) administrative decisions regarding adulterated food issued by IJHAR-S in Poland. The core studies cover the period 2016–2020. Food supplements and meat products are more likely to be identified as non-compliant in Europe. Although, due to many factors involved – prices, food consumption patterns, level of competition, and legal sanctions – the most common targets for adulteration vary in different countries and change over time. The study is, inter alia, intended to provide insights into various illicit practices for public and private decision-makers striving for greater prevention and reduced vulnerability.
Oszustwa w branży spożywczej to pilna kwestia globalnej polityki. Podatność łańcucha żywnościowego na oszustwa i zafałszowania ciągle rośnie, m. in. wraz z rozwojem pandemii COVID-19. Celem artykułu jest zaprezentowanie wyników analizy danych dotyczących niezgodności i ich charakteru w łańcuchu rolnospożywczym, wynikających zwłaszcza z fałszowania żywności. Wykorzystano następujące źródła danych: periodyki naukowe, DG SANTE, raporty EU FFN & AAC, portal RASFF, decyzje administracyjne IJHAR-S dotyczące zafałszowań żywności. Główne badania obejmują lata 2016–2020. W Europie najwięcej nieprawidłowości występuje w przypadku suplementów diety i produktów mięsnych. Chociaż, w poszczególnych krajach inne produkty są najczęściej fałszowane, na co wpływają różnice w cenach, modelach konsumpcji żywności, poziomie konkurencji, konstrukcji sankcji prawnych itd., co dodatkowo zmienia się w czasie. Opracowanie ma między innymi służyć publicznym i prywatnym decydentom dążącym do zapewnienia wysokiego poziomu ochrony uczestnikom łańcucha rolno-spożywczego.
Content available remote Towards big data solutions for industrial tomography data processing
This paper presents an overview of what Big Data can bring to the modern industry. Through following the history of contemporary Big Data frameworks the authors observe that the tools available have reached sufficient maturity so as to be usable in an industrial setting. The authors propose the concept of a system for collecting, organising, processing and analysing experimental data obtained from measurements using process tomography. Process tomography is used for noninvasive flow monitoring and data acquisition. The measurement data are collected, stored and processed to identify process regimes and process threats. Further general examples of solutions that aim to take advantage of the existence of such tools are presented as proof of viability of such approach. As the first step in the process of creating the proposed system, a scalable, distributed, containerisation-based cluster has been constructed, with consumer-grade hardware.
Nowadays, the optimization of energy consumption and resources is one of the most urgent topics in worldwide industry. The energy consumption monitoring and control in various multiphase flow industrial applications, where a proper flow characteristic and an optimal phase mixture control is crucial, is hard to perform due to the physical and chemical complexity of the processes. The Electrical Capacitance Tomography (ECT) is one of the relatively cheap non-invasive measurement methods that can help in the monitoring and control of optimal energy and resources dozing in industrial processes. ECT diagnostics systems use unique sensors that can non-intrusively detect spatial capacitance changes caused by spatial changes in the electrical permittivity of industrial process components. One of the latest ECT extensions is a three-dimensional measurement strategy that uses a multilayer structure of the capacitance sensor. In this paper, the authors propose a novel approach to the 3D ECT sensors fabrication process that uses 3D computer modelling and 3D printing to easily get any sensor shape, electrode layout, scale and shielding strategy. This study compares the measurement abilities of a 3D ECT sensor fabricated using a traditional hand-made technique with the 3D printed device. The results have proven the potential of the new 3D print-based sensor regarding its significant fabrication time reduction as well as the improvement of the overall 3D ECT sensor measurement accuracy and stability.
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