This article provides an overview on the broad topic of biogenic amines (BAs) that are a persistent concern in the context of food quality and safety. They emerge mainly from the decomposition of amino acids in protein-rich food due to enzymes excreted by pathogenic bacteria that infect food under inappropriate storage conditions. While there are food authority regulations on the maximum allowed amounts of, e.g., histamine in fish, sensitive individuals can still suffer from medical conditions triggered by biogenic amines, and mass outbreaks of scombroid poisoning are reported regularly. We review first the classical techniques used for selective BA detection and quantification in analytical laboratories and focus then on sensor-based solutions aiming at on-site BA detection throughout the food chain. There are receptor-free chemosensors for BA detection and a vastly growing range of bio- and biomimetic sensors that employ receptors to enable selective molecular recognition. Regarding the receptors, we address enzymes, antibodies, molecularly imprinted polymers (MIPs), and aptamers as the most recent class of BA receptors. Furthermore, we address the underlying transducer technologies, including optical, electrochemical, mass-sensitive, and thermal-based sensing principles. The review concludes with an assessment on the persistent limitations of BA sensors, a technological forecast, and thoughts on short-term solutions.

Per- and polyfluoroalkyl substances (PFAS) are a class of materials that have been widely used in the industrial production of a wide range of products. After decades of bioaccumulation in the environment, research has demonstrated that these compounds are toxic and potentially carcinogenic. Therefore, it is essential to map the extent of the problem to be able to remediate it properly in the next few decades. Current state-of-the-art detection platforms, however, are lab based and therefore too expensive and time-consuming for routine screening. Traditional biosensor tests based on, e.g., lateral flow assays may struggle with the low regulatory levels of PFAS (ng/mL), the complexity of environmental matrices and the presence of coexisting chemicals. Therefore, a lot of research effort has been directed towards the development of biomimetic receptors and their implementation into handheld, low-cost sensors. Numerous research groups have developed PFAS sensors based on molecularly imprinted polymers (MIPs), metal–organic frameworks (MOFs) or aptamers. In order to transform these research efforts into tangible devices and implement them into environmental applications, it is necessary to provide an overview of these research efforts. This review aims to provide this overview and critically compare several technologies to each other to provide a recommendation for the direction of future research efforts focused on the development of the next generation of biomimetic PFAS sensors.

RNA-based/associated biosensors represent a rapidly expanding area of research, providing highly sensitive tools for detecting and monitoring RNA in diverse biological contexts. These sensors offer the ability to track RNA localization, modifications, and interactions in real-time, making them particularly well-suited for developmental biology research. Despite their demonstrated utility in fields such as diagnostics, synthetic biology and environmental science, the application of RNA biosensors in developmental biology has only begun to emerge within the past decade. This gap is notable given the potential of these tools to address key questions about spatiotemporal RNA regulation and cellular signaling during development. This perspective review presents a selection of RNA biosensors, including fluorescent RNA aptamers, CRISPR-Cas-based systems, riboswitches, and catalytic RNA sensors, which have gained attraction in other scientific disciplines. These tools can be used not only to study intrinsic RNA biology, such as RNA expression, splicing, and localization, but also to detect the effects of extrinsic physical and chemical factors, including pH, temperature, redox state, and mechanical stress, on RNA behavior during developmental processes. These examples illustrate how RNA biosensors could be adapted to study developmental mechanisms in model organisms, enabling investigations into RNA dynamics and their role in shaping developmental processes. By revisiting these underutilized tools, this review highlights their relevance for advancing the understanding of molecular mechanisms in developmental biology studies.