Citizen analytical chemistry: building a participatory and shared science through global data generation

IF 6.6
Adrián Fuente-Ballesteros, Victoria Samanidou and Vânia G. Zuin Zeidler
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Abstract

This work presents citizen analytical chemistry (ZAC) as a framework that unites analytical science with the participatory nature of citizen science, enabling professionals and especially non-professionals to collect, interpret, and share chemical data using simplified, low-cost, and portable tools. Through smartphones, open-source platforms, and do-it-yourself devices, ZAC democratizes access not only to chemical measurement but also to chemical information and knowledge, creating opportunities for environmental monitoring, public health protection, and food safety assessment on a global scale. It encourages large-scale data generation while promoting education, transparency, and scientific literacy. At the same time, it raises new challenges related to data quality, privacy, ethics, and public engagement that must be addressed to ensure reliability and trust. This article highlights ten pillars of ZAC, presents key enabling technologies, and explores future directions where community-driven sensor networks, mobile platforms, and AI-assisted analysis could transform analytical chemistry into a shared societal practice. ZAC proposes a more inclusive, participatory, and sustainable model of science, one in which analytical chemistry becomes a bridge connecting people, data, and the environment.

Abstract Image

公民分析化学:通过全球数据生成建立一个参与性和共享的科学
这项工作将公民分析化学(ZAC)作为一个框架,将分析科学与公民科学的参与性结合起来,使专业人员,特别是非专业人员能够使用简化、低成本和便携式工具收集、解释和共享化学数据。通过智能手机、开源平台和diy设备,ZAC不仅普及了化学测量,还普及了化学信息和知识,为全球范围内的环境监测、公共健康保护和食品安全评估创造了机会。它鼓励大规模数据生成,同时促进教育、透明度和科学素养。与此同时,它提出了与数据质量、隐私、道德和公众参与相关的新挑战,必须解决这些问题,以确保可靠性和信任。本文重点介绍了ZAC的十大支柱,介绍了关键的使能技术,并探讨了社区驱动的传感器网络、移动平台和人工智能辅助分析将分析化学转变为共享的社会实践的未来方向。ZAC提出了一种更具包容性、参与性和可持续性的科学模式,在这种模式下,分析化学成为连接人、数据和环境的桥梁。
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CiteScore
0.60
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