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The batch adsorption technique investigated the efficiency of sawdust adsorbent for removing copper ions from synthetic solutions. A chemical synthesis process prepared the activated sawdust powder, and its surface area and pore volume were obtained by BET isotherm analysis. The ability of copper ion uptake by activated sawdust powder was examined under the characterization study of SEM, EDX & FTIR studies. Various isotherm studies checked the process of adsorption, and the kinetic studies confirm the nature of the adsorption process with sawdust adsorbent. Thermodynamic studies were used to analyze the endothermic nature of the adsorption process, and 0.3 N of H2SO4 acid desorbs 93.27% of copper ions from the spent adsorbent. The experimental study confirms the better adsorption ability of sawdust powder in the activated charcoal form to remove the heavy metal pollution in aqueous solutions.

A green synthesis using a simple precipitation method produced zinc oxide (ZnO), leaf extractions of zinc oxide as Aerva lanata (Al-ZnO) and Millettia pinnata (Mp-ZnO), copper-doped Al-CZnO and Mp-CZnO nanoparticles (NAPs). They were characterized for their functional group, structural, antibacterial, and luminescence properties. The grown NAPs were examined by Ultraviolet-visible (UV-Vis), Photoluminescence (PL), Fourier Transform-Infrared (FT-IR) spectroscopy, X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), Transmission Electron Microscopy (TEM) and antibacterial activity. The XRD analysis confirms that all NAPs have a hexagonal structure and no impurity phases other than Cu. In consequence of this, Cu ion has been successfully incorporated into the standard ZnO structure. The calculated crystalline size through the XRD pattern of pure ZnO, Al-ZnO, Mp-ZnO, Al-CZnO, and Mp-CZnO NAPs and the average grain size were 81.37, 52.08, 63.24, 37.54, and 30.71 nm, respectively. The optical absorption spectra show that adding Cu reduces the band gap. FTIR is used to assess the functional group and chemical interaction of leaf extraction and Cu-doped ZnO at various peaks. In addition, its functional groups are observed to correspond to the ZnO bands in all the samples. The microstructure analysis of SEM confirms that all the NAPs are agglomerated by adding the dopant, which turns into a particle-like structure. The antibacterial activity of the NAPs against Escherichia coli was measured using the agar well diffusion technique, and the optimum zone of inhibition (ZOI) was found to be 21 mm. Overall, the obtained results revealed that the Mp-CZnO NAPs is a novel and efficient bacterial pathogens present in the aqueous medium. Hence, it is a good representation for future biomedical applications.

The commercial imidacloprid (IMD) insecticide [1-(6-chloro-3-pyridinyl) methyl-4,5-dihydro-N-nitro-1H-imidazole-2-amine] is widely used for the enhancement of crop production, but the intensive use of this insecticide has caused serious environmental problems. This work presents an electrochemical process for the removal of this insecticide using galvanostatic electrolysis at modified tantalum surface by lead dioxide film anode (Ta(PbO2)) anode. The electrolytic process was monitored by chemical oxygen demand (COD). The influence of operating parameters, such as current density, initial concentration of IMD, temperature and initial pH value was investigated. The COD decay follows a pseudo first-order kinetic and the process was under mass transport control. COD removal reach 97% when using an apparent current density of 100 mA cm−2, initial COD of 953 mg L−1 and at 25 °C after 4.5 h electrolysis time.

In recent years, the need for the rapid development of rural tourism in China has resulted in a large consumption of ecological resources, which has seriously damaged the ecological balance of travel destinations. Rural tourism in many parts of China is increasingly lacking distinctive local characteristics. It is difficult to adapt to tourists’ requirements for a deeper experience of rural travel. Some measures have been proposed to address these issues. Firstly, the connotation of “green” is reinterpreted based on relevant theoretical knowledge starting from solving the problem of rural tourism community development in China. The questionnaire method is used to screen the indicator system. An empirical analysis is carried out for actual cases. The pictures uploaded by tourists to social media are the main data source. A relatively complete and effective method system for the image research of rural tourism destinations is constructed combined with the visual analysis technology based on deep learning. A dense CNN model producing 10 output parameter combined with various factors is formed to assist the promotion by comparing the differences between the advertising pictures of the tourist destination and the pictures taken by tourists. The results show obvious consistency in the construction scene of the rural travel perception environment. Each tourist destination has its own visual characteristics, as well as differences in various sensory modality types. This research method adopts a combination of subjective and objective and comprehensively examines the scene conspicuousness, distinction, artistic quality, design quality, and time of the pictures. The formed marketing picture research method is more scientific and feasible.