We present a procedure that allows a reliable determination of the elastic (Young’s) modulus of soft samples, including living cells, by atomic force microscopy (AFM). The standardized nanomechanical AFM procedure (SNAP) ensures the precise adjustment of the AFM optical lever system, a prerequisite for all kinds of force spectroscopy methods, to obtain reliable values independent of the instrument, laboratory and operator. Measurements of soft hydrogel samples with a well-defined elastic modulus using different AFMs revealed that the uncertainties in the determination of the deflection sensitivity and subsequently cantilever’s spring constant were the main sources of error. SNAP eliminates those errors by calculating the correct deflection sensitivity based on spring constants determined with a vibrometer. The procedure was validated within a large network of European laboratories by measuring the elastic properties of gels and living cells, showing that its application reduces the variability in elastic moduli of hydrogels down to 1%, and increased the consistency of living cells elasticity measurements by a factor of two. The high reproducibility of elasticity measurements provided by SNAP could improve significantly the applicability of cell mechanics as a quantitative marker to discriminate between cell types and conditions.

The degradation of mismanaged plastic waste in the environment results in the formation of microplastics (MPs) and nanoplastics (NPs), which pose significant risks to ecosystems and human health. These particles are pervasive, detected even in remote regions, and can enter the food chain, accumulating in organisms and causing harm depending on factors such as particle load, exposure dose, and the presence of co-contaminants. Detecting and analyzing NMPs present unique challenges, particularly as particle size decreases, making them increasingly difficult to identify. Moreover, the absence of standardized protocols for their detection and analysis further hinders comprehensive assessments of their environmental and biological impacts. This review provides a detailed overview of the latest advancements in technologies for sampling, separation, measurement, and quantification of NMPs. It highlights promising approaches, supported by practical examples from recent studies, while critically addressing persistent challenges in sampling, characterization, and analysis. This work examines cutting-edge developments in nanotechnology-based detection, integrated spectro-microscopic techniques, and AI-driven classification algorithms, offering solutions to bridge gaps in NMP research. By exploring state-of-the-art methodologies and presenting future perspectives, this review provides valuable insights for improving detection capabilities at the micro- and nanoscale, enabling more effective analysis across diverse environmental contexts.