Smart and sustainable 3D-printed electrochemical device for diclofenac remediation and monitoring in water

IF 5.6 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Gabriella Iula , Ada Raucci , Lorenzo Antonelli , Panagiota M. Kalligosfyri , Massimo Giuseppe De Cesaris , Nina Felli , Concetta Di Natale , Stefano Cinti , Alessandra Gentili
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Abstract

In recent years, emerging contaminants in water, such as pesticides and pharmaceuticals, have gained significant attention, underscoring the need for innovative purification and monitoring solutions. Diclofenac, a widely used nonsteroidal anti-inflammatory drug, has become an important environmental contaminant due to its widespread use and the poor efficiency of conventional wastewater treatment systems. This study focuses on the development of an innovative all-in-one 3D printed device for small-scale monitoring and remediation of emerging contaminants such as diclofenac, with the potential to be adapted to others as well. The main novelty of this work lies in the design of a compact and portable platform that not only enables the detection of diclofenac in real time but also assesses the quality of its remediation. The 3D-printed device integrates a flexible, screen-printed sensor on a polyester substrate for diclofenac detection, along with recycled cellulose acetate particles functionalized with activated carbon (20 % w/w) as the remediation material. Combining electrochemical sensing technologies with a lightweight and cost-effective three-dimensional configuration, the platform offers a highly efficient and easy-to-use solution for monitoring and optimizing remediation processes. The device provides real-time feedback on diclofenac concentrations, evaluating remediation efficiency under practical, real-world conditions. Results showed that the all-in-one platform achieved a detection limit for diclofenac of 0.1 μM and demonstrated a remediation efficiency of about 53 %. This innovative 3D system represents a significant advance in the industry, offering a versatile and scalable solution to improve the management of pharmaceutical contaminants in water resources, with broader applications for various emerging pollutants.

Abstract Image

智能和可持续的3d打印电化学装置双氯芬酸修复和监测在水中
近年来,水中出现的污染物,如农药和药品,受到了极大的关注,强调了创新净化和监测解决方案的必要性。双氯芬酸是一种应用广泛的非甾体类抗炎药,由于其广泛的使用和传统废水处理系统效率低下,已成为一种重要的环境污染物。这项研究的重点是开发一种创新的一体化3D打印设备,用于小规模监测和修复新出现的污染物,如双氯芬酸,也有可能适用于其他污染物。这项工作的主要新颖之处在于设计了一个紧凑的便携式平台,不仅可以实时检测双氯芬酸,还可以评估其修复的质量。3d打印设备在聚酯基板上集成了一个柔性的丝网印刷传感器,用于双氯芬酸检测,以及用活性炭(20% w/w)作为修复材料功能化的回收醋酸纤维素颗粒。该平台将电化学传感技术与轻量级且具有成本效益的三维配置相结合,为监测和优化修复过程提供了高效且易于使用的解决方案。该设备提供双氯芬酸浓度的实时反馈,在实际的、真实的条件下评估修复效率。结果表明,该平台对双氯芬酸的检出限为0.1 μM,修复效率约为53%。这种创新的3D系统代表了行业的重大进步,提供了一种通用的、可扩展的解决方案,以改善水资源中药物污染物的管理,并广泛应用于各种新兴污染物。
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来源期刊
Talanta
Talanta 化学-分析化学
CiteScore
12.30
自引率
4.90%
发文量
861
审稿时长
29 days
期刊介绍: Talanta provides a forum for the publication of original research papers, short communications, and critical reviews in all branches of pure and applied analytical chemistry. Papers are evaluated based on established guidelines, including the fundamental nature of the study, scientific novelty, substantial improvement or advantage over existing technology or methods, and demonstrated analytical applicability. Original research papers on fundamental studies, and on novel sensor and instrumentation developments, are encouraged. Novel or improved applications in areas such as clinical and biological chemistry, environmental analysis, geochemistry, materials science and engineering, and analytical platforms for omics development are welcome. Analytical performance of methods should be determined, including interference and matrix effects, and methods should be validated by comparison with a standard method, or analysis of a certified reference material. Simple spiking recoveries may not be sufficient. The developed method should especially comprise information on selectivity, sensitivity, detection limits, accuracy, and reliability. However, applying official validation or robustness studies to a routine method or technique does not necessarily constitute novelty. Proper statistical treatment of the data should be provided. Relevant literature should be cited, including related publications by the authors, and authors should discuss how their proposed methodology compares with previously reported methods.
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