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Thirumal, V.; Yuvakkumar, R.; Kumar, P. Senthil; Keerthana, S.P.; Ravi, G.; Velauthapillai, D.; Saravanakumar, B.
Chemosphere (Oxford), October 2021, 2021-10-00, 20211001, Volume: 281Journal Article
To attain elevated class MXene (Ti3C2Tx) through a homemade kitchen blender method, high shear mechanical exfoliation is highly required for the efficient delimitations of MXene nanosheets from bulk MAX (Ti3AlC2). We examine large-scale industrial productions of the MXene nanosheets, where combing the predicted 2D materials using a blender is a first-time novel approach with the delaminating solvent as a dimethyl sulfoxide (DMSO). And also manually created layered MXene systems (handmade) delaminating MXene sheets (MX-H) was furthermore employed for environmental dye-degradations applications. The materials characterizations was done for both the bulk MAX, MX-H and the MX-B. Additionally, the surface morphological studies like scanning electron microscopy (SEM) were investigated for both MX-H and MX-B as-prepared samples. SEM images indicated the high shear blander technique formations highly expanded/delaminated MXene (Ti3C2Tx) nanosheets compared to MX-H samples. FTIR technique is employed to identify –OH, C–H, C–O stretching vibrations for both materials. Raman spectroscopy analysis of MX-H and MX-B revealed 484.80 cm−1 Raman shift assigned to E1g phonon mode of (Ti, C, O). The ultraviolet UV visible absorption spectra explored pure and catalyst added Methylene Blue (MB) dye stock solution using annular type photoreactor with visible light source of 300 W. The comparatives of MAX, MX-H and MX-B samples was investigated as photocatalytic activity, The blender made (MX-B) sample revealed 98% of efficiency. Display omitted •Elevated class MXene (Ti3C2) attained via homemade kitchen blender.•High shear mechanical exfoliation is required for efficient MXene delimitations.•Large-scale industrial productions of the MXene nanosheets.•2D materials using a blender is a first-time novel approach.•The blender made (MX-B) sample revealed 98% of efficiency.
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