An easy and cost effective route for mass production of graphene nanosheets (GNSs) is an essential requirement for design of different sensors, conductive composites and future nanoelectronic devices. Scalable and large area GNSs were synthesized by a thermal treatment of a graphite-ionic liquid crystal composite as a starting material. This composite was heated in a furnace with a flow of argon gas at 700 C for 1 h. Intercalation of ionic liquid crystals between graphite layers, their decomposition and evolution of gases assist in exfoliation of graphite and separation of layers. The proposed method extends the scope for production of high-quality, high-yield, unoxidized and defects free GNSs for a wide range of applications. The ability to produce bulk GNSs from a graphitic precursor with an easy and relatively low-cost approach can propel us to real-world applications of GNSs.
Based on the solidification of a hydrophobic deep eutectic solvent in air‐assisted liquid phase microextraction combined with gas chromatography and mass spectrometry, a green and sustainable microextraction technique was developed for extracting, separating, and detecting organophosphorus flame retardants in aqueous samples. In this study, some strategies were considered for overcoming or improving the challenges of conventional solvent microextraction procedures. In addition, a hydrophobic deep eutectic solvent with a freezing point near the ambient temperature was employed as an extraction phase, the dispersive solvent was substituted by the syringe pump process, and the centrifugation step was omitted by using salting‐out phenomenon. Further, the effect of the main independent variables was evaluated by using the chemometric methods in order to maximize the extraction efficiency of the procedure. Under optimal conditions, the calibration model was linear in the range of 0.01–25.0 µg/L. Limits of detection and quantitation were assessed at the concentration levels of 2–23 and 9–65 ng/L, respectively. The precision involving repeatability and reproducibility was evaluated by estimating the relative standard deviation, the levels of which were <6.6 and <8.7%, respectively. The applicability of the method was successfully evaluated by analyzing the target analytes in real aqueous samples, which illustrated satisfactory recoveries (95–104.61%).
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