Safety of Novel Protein Sources (Insects, Microalgae, Seaweed, Duckweed, and Rapeseed) and Legislative Aspects for Their Application in Food and Feed Production.

Novel protein sources (like insects, algae, duckweed, and rapeseed) are expected to enter the European feed and food market as replacers for animal-derived proteins. However, food safety aspects of these novel protein sources are not well-known. The aim of this article is to review the state of the art on the safety of major novel protein sources for feed and food production, in particular insects, algae (microalgae and seaweed), duckweed, and rapeseed. Potential hazards for these protein sources are described and EU legislative requirements as regard to food and feed safety are explained. Potential hazards may include a range of contaminants, like heavy metals, mycotoxins, pesticide residues, as well as pathogens. Some safety aspects of novel protein sources are intrinsic to the product, but many potential hazards can also be due to production methods and processing conditions. These aspects should be considered in advance during product development. European law is unclear on several issues regarding the use of novel protein sources in food and feed products. For food product applications, the most important question for food producers is whether or not the product is considered a novel food. One of the major unclarities for feed applications is whether or not products with insects are considered animal-derived products or not. Due to the unclarities in European law, it is not always clear which Regulation and maximum levels for contaminants apply. For market introduction, European legislation should be adjusted and clarified.

A Microbial Assessment Scheme to measure microbial performance of Food Safety Management Systems.

A Food Safety Management System (FSMS) implemented in a food processing industry is based on Good Hygienic Practices (GHP), Hazard Analysis Critical Control Point (HACCP) principles and should address both food safety control and assurance activities in order to guarantee food safety. One of the most emerging challenges is to assess the performance of a present FSMS. The objective of this work is to explain the development of a Microbial Assessment Scheme (MAS) as a tool for a systematic analysis of microbial counts in order to assess the current microbial performance of an implemented FSMS. It is assumed that low numbers of microorganisms and small variations in microbial counts indicate an effective FSMS. The MAS is a procedure that defines the identification of critical sampling locations, the selection of microbiological parameters, the assessment of sampling frequency, the selection of sampling method and method of analysis, and finally data processing and interpretation. Based on the MAS assessment, microbial safety level profiles can be derived, indicating which microorganisms and to what extent they contribute to food safety for a specific food processing company. The MAS concept is illustrated with a case study in the pork processing industry, where ready-to-eat meat products are produced (cured, cooked ham and cured, dried bacon).

Evaluation of performance measurement instruments on their use for food quality systems.

Due to regular challenges of food safety, consumers put high demands on the performance of food quality systems. To deal with these requirements, food manufacturers need effective quality management. Performance of food quality systems can be partly realized by quality assurance systems, such as HACCP (hazard analysis and critical control point), ISO (international organization for standardization), and BRC (british retail consortium). However, it is still unknown to what extent these systems factually contribute to the realization of quality in the wider sense. Therefore, an instrument is needed that measures the effectiveness of quality systems. This article describes the evaluation of instruments on their suitability for the development of a diagnostic instrument that measures the effectiveness of food quality systems. For this evaluation, perspectives of quality, typical characteristics of agrifood production, quantification, and performance measurement of quality management were studied. Instruments that measure the performance of both quality management and production quality were identified and evaluated on the basis of the defined criteria. The criteria for the performance of production quality were 6 quality dimensions, i.e., product quality, availability, costs,flexibility, reliability, and service. The criteria for performance of quality management were analyses of the relationships between quality management, context of the organization, and production quality, a normative procedure, validation, applicability, classification, and a process approach. Finally, for the final instrument, the evaluation resulted in an integrated approach i.e., a technomanagerial approach, and 3 suitable instruments i.e., Wageningen Management Approach, Extended Quality Triangle, and the quality concept of Noori and Radford.