Monte Carlo strategy for SEM-EDS micro-nanoanalysis of geopolymer composites

The development, optimization and application of new geopolymer composite materials must necessarily go through a precise accurate physico-chemical mineralogical characterization down to the micro nanoscale. In this regard, SEM-EDS X-ray microanalysis is widely successfully employed by scientific community industry. However, nano-to-micrometre sized architecture many composites introduces difficulties issues in quantification, with potential large sources error that should carefully be taken into account investigated. work, Monte Carlo approach proposed study complex physical phenomena at basis quantification errors, investigation of: (i) not completely reacted sodium-poly(sialate-siloxo) geopolymer, (ii) potassium-poly(sialate-siloxo) matrix basalt-derived glass fibres reinforcement. simulation evinced strong influence nano-microsized specimen (e.g., basalt fibre size shape, different elemental composition between matrix) on measured intensity, contributions also depending SEM electron beam energy. provided fundamental indications for selecting optimal operative conditions type sample, specific setup silicon drift EDS detector here used.