Contamination of food with heavy metals is an important factor leading to serious health concerns. Rapid identification of these heavy metals is of utmost priority. There are several methods to identify traces of heavy metals in food. Conventional methods for the detection of heavy metal residues have their limitations in terms of cost, analysis time, and complexity. In the last decade, voltammetric analysis has emerged as the most prominent electrochemical determination method for heavy metals. Voltammetry is a reliable, cost-effective, and rapid determination method. This review provides a detailed primer on recent advances in the development and application of graphene-based electrochemical sensors for heavy metal monitoring over the last decade. We critically examine aspects of graphene modification (fabrication process, stability, cost, reproducibility) and analytical properties (sensitivity, selectivity, rapid detection, lower detection, and matrix effects) of these sensors. Furthermore, to our knowledge, meta-analyses were performed for the first time for all investigated parameters, categorized based on graphene materials and heavy metal types. We also examined the pass–fail criteria according to the WHO drinking water guidelines. In addition, the effects of heavy metal toxicity on human health and the environment are discussed. Finally, the contribution of heavy metal contamination to the seventeen Sustainable Development Goals (SDGs) stated by the United Nations in 2015 is discussed in detail. The results confirm the significant impact of heavy metal contamination across twelve SDGs. This review critically examines the existing knowledge in this field and highlights significant research gaps and future opportunities. It is intended as a resource for researchers working on graphene-based electrochemical sensors for the detection of heavy metals in food safety, with the ultimate goal of improving consumer health protection.

IJCSE published its first issue on June 2010.

It is important to make a safety assessment of different hypothetical scenarios in actual nuclear power plants (NPPs). Some of the common scenarios analyzed are coolant primary tube rupture. In this paper, instantaneous coolant loss occurred at 75% and 50%. The event was simulated under abnormal conditions using the TRETON code, which is used to treat light water reactor (WWER) fuel assemblies. It is based on an algorithm to solve the heat transfer function at multiple levels and develop a porous body. In the study, the operating modes of the main circulation pump on an incomplete number of fuel rods provided acceptable levels of uneven flow and heating; The temperature of the coolant, cladding and fuel did not exceed the limits.