Department of Physics, MLSM College Sunder Nagar, Chaterokhri, Mandi, H.P., India.
Department of Environmental Sciences, Central University of Himachal Pradesh (CUHP), Kangra, Dharamshala, 176215, HP, India.
Environ Res. 2023 Aug 15;231(Pt 2):116151. doi: 10.1016/j.envres.2023.116151. Epub 2023 May 15.
Parthenium hysterophorus, one of the seven most hazardous weeds is widely known for its allergic, respiratory and skin-related disorders. It is also known to affect biodiversity and ecology. For eradication of the weed, its effective utilization for the successful synthesis of carbon-based nanomaterial is a potent management strategy. In this study, reduced graphene oxide (rGO) was synthesized from weed leaf extract through a hydrothermal-assisted carbonization method. The crystallinity and geometry of the as-synthesized nanostructure are confirmed from the X-ray diffraction study, while the chemical architecture of the nanomaterial is ascertained through X-ray photoelectron spectroscopy. The stacking of flat graphene-like layers with a size range of ∼200-300 nm is visualized through high-resolution transmission electron microscopy images. Further, the as-synthesized carbon nanomaterial is advanced as an effective and highly sensitive electrochemical biosensor for dopamine, a vital neurotransmitter of the human brain. Nanomaterial oxidizes dopamine at a much lower potential (0.13 V) than other metal-based nanocomposites. Moreover, the obtained sensitivity (13.75 and 3.31 μA μM cm), detection limit (0.6 and 0.8 μM), the limit of quantification (2.2 and 2.7 μM) and reproducibility calculated through cyclic voltammetry/differential pulse voltammetry respectively outcompete many metal-based nanocomposites that were previously used for the sensing of dopamine. This study boosts the research on the metal-free carbon-based nanomaterial derived from waste plant biomass.
豚草是七种最危险的杂草之一，因其过敏、呼吸道和皮肤相关疾病而广为人知。它也被认为会影响生物多样性和生态。为了根除这种杂草，可以将其有效利用于成功合成基于碳的纳米材料，这是一种有效的管理策略。在这项研究中，通过水热辅助碳化法从杂草叶提取物中合成了还原氧化石墨烯（rGO）。通过 X 射线衍射研究证实了所合成的纳米结构的结晶度和几何形状，而通过 X 射线光电子能谱确定了纳米材料的化学结构。通过高分辨率透射电子显微镜图像可以看到具有 ∼200-300nm 尺寸范围的扁平类石墨烯层的堆叠。此外，所合成的碳纳米材料被用作多巴胺的有效且高灵敏度电化学生物传感器，多巴胺是人类大脑的重要神经递质。与其他基于金属的纳米复合材料相比，纳米材料在更低的电势（0.13V）下氧化多巴胺。此外，通过循环伏安法/差分脉冲伏安法分别计算得到的灵敏度（13.75 和 3.31μAμMcm）、检测限（0.6 和 0.8μM）、定量限（2.2 和 2.7μM）和重现性优于之前用于检测多巴胺的许多基于金属的纳米复合材料。这项研究促进了对源自废植物生物质的无金属碳基纳米材料的研究。
