At present, Metal Organic Frameworks (MOFs) have been widely studied as antibacterial materials, but the research on the antibacterial properties of bimetal organic frameworks has not been carried out in depth. Cu-BTC was prepared by solvothermal method and modified with cobalt. The effect of different Co doping amounts on the antibacterial properties of Cu-BTC was investigated. Bimetallic Co/Cu-BTC with 7%, 14% and 21% metal molar ratios were prepared. The structural characteristics of the materials were determined by TG, FTIR, XRD, BET and the antibacterial properties of Cu-BTC and bimetallic Co/Cu-BTC were evaluated by measuring the bacteriostatic circles. The results show that the specific surface area and pore volume show a decreasing trend with the increase of Co doping amount, which confirms that the pore size of Co/Cu-BTC can be regulated by changing the Co loading amount. Co/Cu-BTC has antibacterial activity, and its performance is stronger than that of Cu-BTC. The introduction of bimetallic central elements into metal-organic framework materials can enhance the redox properties of the materials, thereby generating more reactive oxygen species and significantly enhancing the antibacterial effect of the materials. Among the tested samples, 7Co/Cu-BTC has the best antibacterial effect. Bimetallic organic frameworks will have good application potential in the field of antibacterial.
The heat balance algorithm can evaluate the influence of a individual factor alone, and overall economic influence can be calculated through simulation. Therefore, the heat balance algorithm can be the basis of our weighting algorithm research, helping us to find the relationship between data. Calculating the effect of a individual factor on the economics of the unit also grasps the level of influence of a certain factor change on the overall unit. The purpose of studying the weighting algorithm is to analyse the effect of the above factors economically and analyse the association among them. With the three and four transformation measures, by validating the data, it is found that based on the heat consumption income of individual transformation measures: back pressure optimization < cylinder efficiency improvement < waste heat utilization < low pressure cylinder efficiency improvement < medium pressure cylinder efficiency improvement < High pressure cylinder efficiency improvement < external steaming cooler. The heat consumption benefit value of the above-mentioned transformation technical scheme can be calculated based on the maximum benefit (back pressure optimization transformation).
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