Developing Quantitative Nondestructive Characterization of Nanomaterials: A Case Study on Sequential Infiltration
Eleonora Cara1, Philipp Hönicke2, Yves Kayser2
1Advanced Materials and Life Science Division, Istituto Nazionale Ricerca Metrologica (INRiM), Strada delle Cacce 91, 10135 Torino, Italy.
Summary
This study advances nanomaterial synthesis using sequential infiltration synthesis (SIS). Reference-free grazing incidence X-ray fluorescence quantifies material properties, aiding functional nanomaterial development.
Area of Science:
- Materials Science
- Nanotechnology
- Analytical Chemistry
Background:
- Sequential infiltration synthesis (SIS) is a key method for creating functional nanomaterials.
- Controlling material properties requires advanced characterization techniques.
- Existing methods may not fully capture the complexities of SIS in nanostructured templates.
Purpose of the Study:
- To quantitatively characterize the sequential infiltration synthesis (SIS) process.
- To evaluate the effectiveness of nondestructive methods for analyzing SIS-derived nanomaterials.
- To provide insights into material properties within nanostructured block copolymer templates.
Main Methods:
- Utilized ex situ reference-free grazing incidence X-ray fluorescence (GIXRF) for quantitative analysis.
- Investigated three model polymers with distinct infiltration behaviors.
- Validated GIXRF results using X-ray photoelectron spectroscopy (XPS) and scanning transmission electron microscopy with energy-dispersive X-ray spectroscopy (STEM-EDX).
Main Results:
- Demonstrated the capability of reference-free GIXRF to quantify SIS processes.
- Provided detailed depth distribution information of infiltrated materials.
- Confirmed the accuracy of GIXRF through complementary techniques like XPS and STEM-EDX.
Conclusions:
- Reference-free GIXRF is a powerful tool for quantitative characterization of SIS.
- This method supports the development of functional nanomaterials with tailored properties.
- Enhanced characterization capabilities are crucial for advancing nanostructured material synthesis.


