Sargazi Ghasem, Afzali Daryoush, Mostafavi Ali, Shadman Alireza, Rezaee Babak, Zarrintaj Payam, Saeb Mohammad Reza, Ramakrishna Seeram, Mozafari Masoud
Department of Nanotechnology Engineering, Mineral Industries Research Center, Shahid Bahonar University of Kerman, Kerman, Iran.
Department of Chemistry, Graduate University of Advanced Technology, Kerman, Iran.
Heliyon. 2019 Apr 19;5(4):e01527. doi: 10.1016/j.heliyon.2019.e01527. eCollection 2019 Apr.
Removal of hazardous gases from the atmosphere has become a big challenge for scientists and engineers alike. Eco-friendly nature of biopolymers has given a new dimension to the debate within the environmental science area but attempts mainly failed to cleanse the air stream of toxic gases as a consequence of design imperfections. In this work, green electrospun nanofibrous membranes based on chitosan (Cs)/polyvinyl alcohol (PVA) composite with a very high carbon monoxide adsorption capacity (much higher than the values one may expect from activated carbon and zeolite adsorbents, and also higher than that of the metal-organic framework) are developed. 2 factorial design, response surface and desirability function analyses are merged to optimize the electrospinning parameters for functional-based carbon monoxide elimination. The best Cs/PVA adsorbent obtained through multi-objective optimization has a very high desirability value level of 0.953. Optimized electrospinning parameters are: Voltage = 17 kV, spinning distance = 13 cm, flow rate = 0.2 mL/h, and PVA concentration = 6 wt.%; and optimized properties are: maximum thermal stability = 329 °C, minimum fiber diameter = 9.8 nm, and maximum surface area = 2204 m/g. This work opens a new era for taking the next steps towards the design and optimization of green super-adsorbents for gaseous contaminations.
从大气中去除有害气体已成为科学家和工程师面临的重大挑战。生物聚合物的环保特性为环境科学领域的争论带来了新的维度，但由于设计缺陷，主要尝试未能净化气流中的有毒气体。在这项工作中，开发了基于壳聚糖（Cs）/聚乙烯醇（PVA）复合材料的绿色电纺纳米纤维膜，其具有非常高的一氧化碳吸附能力（远高于活性炭和沸石吸附剂可能达到的值，也高于金属有机框架）。将二因素设计、响应面和期望函数分析相结合，以优化基于功能的一氧化碳消除的电纺参数。通过多目标优化获得的最佳Cs/PVA吸附剂具有非常高的期望价值水平，为0.953。优化的电纺参数为：电压=17 kV，纺丝距离=13 cm，流速=0.2 mL/h，PVA浓度=6 wt.%；优化后的性能为：最大热稳定性=329℃，最小纤维直径=9.8 nm，最大表面积=2204 m/g。这项工作开启了一个新时代，朝着设计和优化用于气态污染的绿色超级吸附剂迈出下一步。
