Approaching water, energy, and food, as interconnected system of systems, as an alternative to traditional silo-based resources planning and management approaches continues to fall short of expectations of its research-backed benefits. The lack of nexus applications in policy and decision making can be related to numerous factors, with the main barrier being the complex nature of “nexus” systems combined with the disarray of tools attempting to model its interconnections. The paper aims to provide a method for comparing the perceived complexity of nexus tools identified by international organizations as well as primary literature sources. Eight separate criteria are introduced and discussed as measures of a tool “complexity index” and used to score the relative simplicity, or complexity, of a given tool. The result of this process is used to identify trends within existing nexus-assessment tools while guiding potential users towards appropriate tool(s) best-suited for their case study needs and objectives. The main objectives of this paper are to: 1) categorize nexus assessment tools according to a criteria-set which allows for suitable tool selection; 2) identify a method for rapid evaluation of the trade-offs for choosing different tools (simple-complex spectrum). The results of the comparative analysis of the selected nexus assessment tools concur with literature citing a growing gap between nexus research and applications in actual policy and decision-making settings. Furthermore, results suggest that tools receiving higher complexity scores, while being able to capture details to specific resource interactions, are unable to cover a larger number of interactions and system components simultaneously, as compared to lower complexity score tools. Lastly, the outcome of the analysis point towards the need for integrating more preliminary assessment capabilities, i.e. diagnostics, guidelines, and capacity building, into existing tools that improve the communication and translation of model outputs into policy and decision-making.

The microbiological safety of food and the environment in which we live is currently an intensely discussed topic. Increasing production and the demand-driven global market exert pressure on ensuring sufficient high-quality food and safe drinking water. Compared to the past, increased attention in this area is now paid to important viral agents associated with food/water contaminations in both intensive research and routine diagnostics. This interest in viral agents has also increased in recent years due to the ongoing global pandemic caused by the novel coronavirus. Food- and water-borne viruses usually cause only mild and short-term diseases. The most common is gastroenteritis manifested by fever, vomiting and watery diarrhoea. However, in addition to mild febrile illness, these agents can also cause more serious conditions – respiratory infections, hepatitis, conjunctivitis, aseptic meningitis, myocarditis, encephalitis and paralysis. Globally, these diseases have significant economic impacts and are still among the leading causes of death in developing countries.This manuscript provides an overview of food- and water-borne viruses and technologies developed and currently used for their identification as causative agents. Methods for the detection of these pathogens represent an important tool for the assessment and mitigation of potential risks associated with the contamination of food and water resources. There is currently a wide range of possible approaches. Their use is differently targeted and their sensitivity, effectiveness and specificity also vary. In the case of a specific application, it is therefore necessary to choose the appropriate method, optimize it, and then verify its applicability and limits. The chosen method should be sufficiently robust, sensitive, specific and, if possible, also time and labor saving.

Escherichia coli O157:H7, a Shiga-producing E. coli is a major pathogenic E. coli strain which since the early 1980s has become a crucial food and water-borne pathogen. Several management strategies can be applied to control the spread of infection; however early diagnosis represents the optimum preventive strategy to minimize the infection. Therefore, it is crucial to detect this pathogen in a fast and efficient manner in order to reduce the morbidity and mortality. Currently used gold standard tests rely on culture and pre-enrichment of E. coli O157:H7 from the contaminated source; they are time consuming and laborious. Molecular methods such as polymerase chain reaction are sensitive; however, they require expensive instrumentation. Therefore, there is a requirement for Accurate, Sensitive, Specific, User friendly, Rapid, Equipment free and Deliverable (ASSURED) detection methods for use in the laboratory and in the field. Emerging technologies such as isothermal amplification methods, biosensors, surface enhanced Raman Spectroscopy, paper-based diagnostics and smartphone-based digital methods are recognized as new approaches in the field of E. coli O157:H7 diagnostics and are discussed in this review. Mobile PCR and CRISPR-Cas diagnostic platforms have been identified as new tools in E. coli O157:H7 POC diagnostics with the potential for implementation by industry. This review describes advances and progress in the field of E. coli O157:H7 diagnosis in the context of food and water industry. The focus is on emerging high throughput point-of-care (POC) E. coli O157:H7 diagnostics and the requirement for the transformation to service routine diagnostics in the food and water industry.