Determining deposits on knit fabrics, yarns, and fibers, from sensor-related treatments

Creation of a knit fabric-based, stable sensor using dipping and encapsulation processes is feasible, but where deposition occurs in the structure is not yet well understood. Using two graphene treatments and three encapsulants applied to single jersey (100% wool, 100% cotton), relative merits of a range of surface characterization tools (e.g., photographic - optical microscopy, scanning electron microscopy, image analysis (pixel intensity, fiber dimensions), change in lightness (L*, Delta L*, Delta E),) and chemical tools (e.g. vibrational spectroscopy - infrared and Raman) were applied to determine evidence of the treatments. Fabrics, yarns extracted from the treated fabrics and fibers from yarns were each examined. Structure of the fabric, yarns in the fabric, and fibers in the yarns remained clearly identifiable using microscopic methods, suggesting these physical features were largely unchanged. With respect to probable chemical composition, Raman analysis was found preferable to FTIR.

Automated summary

Creating a stable sensor using dipping and encapsulation processes on a knit fabric is feasible, but the deposition location is not well understood. Various characterization tools, such as microscopy and spectroscopy, were used to investigate the effects of two graphene treatments and three encapsulants on single jersey fabrics made of wool and cotton. Microscopic analysis showed that the fabric structure, yarns, and fibers remained largely unchanged, while Raman analysis was found to be a more preferable method for determining the chemical composition of the treatments compared to FTIR.