PlomBoxear: A Device for Open Source Metrology to Fight Lead Contamination in Drinking Water

PlomBoxear：一种用于对抗饮用水中铅污染的开源计量设备

• 批准号: EP/T015586/1
• 负责人: Stewart Boogert
• 金额: $ 112.4万
• 依托单位: Royal Holloway University of London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2019
• 资助国家: 英国
• 起止时间: 2019 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FT015586%2F1
• 关键词: PlomBoxear; Device; Open; Source; Metrology

This project aims to translate research funded by a 2017 STFC GCRF Foundation Award to deliver an open-source, low-cost device to measure lead (Pb) contamination in drinking water.This project draws on an area of research supported by the STFC core science programme: ultra-precise radioactivity measurement and calorimetry developed to search for dark matter. The predecessor GCRF project built upon this research to develop detection of Pb in water using interactions of radioactivity emitted from Pb atoms in CMOS sensors, together with data acquisition (DAQ) via a mobile phone. This project aims to translate these developments to application in a low-cost device, and demonstrate its utility for measuring Pb contamination in water in a pilot study in Argentina. Development and validation activities will be carried out across the UK, Argentina and México.The motivation for growing capacity for and developing new Pb measurement techniques is that Pb pollution is the #1 cause of loss of life expectancy in the world, and currently 2 of the top 10 worst pollution problems in the world are associated with Pb [1]. This is a problem both in LMICs and in high income countries- examples like the Flint, Michigan, USA, water safety breaches demonstrate that water quality in violation of World Health Organization (WHO) guidelines can happen anywhere, and information about water quality, and its variation in time, is not widespread. Even 'clean' technologies, like electric cars, employ traditional Pb-based batteries; the disposal of these batteries is a leading contributor to Pb pollution in drinking water, particularly in LMICs.Currently, Pb in water measurements require expensive, specialized equipment to reach relevant sensitivity levels for human health- even 0.1 parts per million contamination with Pb produces devastating biological impacts. The device we propose to develop, the PlomBox, will use a custom sensor assembly box that plugs into a mobile phone to acquire and analyze the data. We aim for the box cost to be <10 GBP. The goal is to make widely-distributed metrology and real-time, crowd-sourced monitoring of Pb levels in drinking water possible for the first time. This technology could have a transformative impact on the public health problems associated with Pb pollution.The World Health Organization (WHO) limit for Pb in drinking water is 10 parts per billion (ppb). Reaching this level of sensitivity is an incredibly challenging problem, which we address by leveraging the precision calorimetry techniques for Pb in silicon (Si) detectors demonstrated in the predecessor GCRF project, together with biological techniques to detect trace impurities using engineered bacteria demonstrated by the U. of Buenos Aires collaborators. We request support for 873k over 18 months to support PDRAs and Technicians in Argentina (5), México (3), and the UK (3), travel, and consumables costs to fabricate the PlomBox prototypes, deploy them in a field test, cross-validate against Germanium (Ge) detector gamma spectroscopy and inductively coupled plasma mass spectrometry (ICP-MS).[1] http://www.worstpolluted.org/

该项目旨在将2017年STFC GCRF基金会奖资助的研究转化为一种开源、低成本的设备，用于测量饮用水中的铅（Pb）污染。该项目借鉴了STFC核心科学计划支持的研究领域：为寻找暗物质而开发的超精密放射性测量和量热法。GCRF的前身项目建立在这项研究的基础上，开发了检测水中的铅，利用CMOS传感器中铅原子发射的放射性相互作用，以及通过移动的电话进行数据采集（DAQ）。该项目旨在将这些发展转化为低成本设备的应用，并在阿根廷的试点研究中展示其用于测量水中铅污染的实用性。开发和验证活动将在英国、阿根廷和梅西科进行。增加铅测量能力和开发新铅测量技术的动机是，铅污染是世界上预期寿命损失的头号原因，目前世界上十大最严重的污染问题中有两个与铅有关[1]。这在中低收入国家和高收入国家都是一个问题，例如美国密歇根州弗林特市的水安全违规事件表明，违反世界卫生组织（世卫组织）准则的水质可能发生在任何地方，有关水质及其随时间变化的信息并不普遍。即使是“清洁”技术，如电动汽车，也使用传统的铅基电池;这些电池的处置是导致饮用水铅污染的主要因素，特别是在中低收入国家。目前，水中铅的测量需要昂贵的专门设备才能达到对人类健康的相关敏感水平-即使是百万分之0.1的铅污染也会产生毁灭性的生物影响。我们建议开发的设备PlomBox将使用一个定制的传感器组装盒，插入移动的手机来获取和分析数据。我们的目标是盒子成本<10英镑。其目标是首次实现对饮用水中铅含量的广泛分布计量和实时众包监测。世界卫生组织（世卫组织）对饮用水中铅含量的限制是十亿分之十（ppb）。达到这种灵敏度水平是一个令人难以置信的挑战性问题，我们通过利用前GCRF项目中展示的硅（Si）探测器中铅的精确量热技术，以及美国实验室展示的使用工程细菌检测痕量杂质的生物技术来解决这个问题。布宜诺斯艾利斯的合作者我们请求在18个月内提供87.3万美元的支持，以支持阿根廷（5）、梅西科（3）和英国（3）的PDRA和技术人员，以及制造PlomBox原型、将其部署到现场测试、根据锗（Ge）探测器伽马光谱和电感耦合等离子体质谱（ICP-MS）进行交叉验证所需的差旅和耗材成本。[1]http://www.worstpolluted.org/

项目成果

Dosimetry and Calorimetry Performance of a Scientific CMOS Camera for Environmental Monitoring.

• DOI: 10.3390/s20205746
• 发表时间: 2020-10-10
• 期刊: Sensors (Basel, Switzerland)
• 作者: Aguilar-Arevalo A;Bertou X;Canet C;Cruz-Pérez MA;Deisting A;Dias A;D'Olivo JC;Favela-Pérez F;Garcés EA;González Muñoz A;Guerra-Pulido JO;Mancera-Alejandrez J;Marín-Lámbarri DJ;Martinez Montero M;Monroe J;Paling S;Peeters SJM;Scovell P;Türkoğlu C;Vázquez-Jáuregui E;Walding J
• 通讯作者: Walding J

Characterization of germanium detectors for the first underground laboratory in Mexico

• DOI: 10.1088/1748-0221/15/11/p11014
• 发表时间: 2020-09
• 期刊: Journal of Instrumentation
• 影响因子: 1.3
• 作者: A. Aguilar-Arevalo;S. Alvarado-Mijangos;X. Bertou;C. Canet;M. Cruz-Perez;A. Deisting;A. Dias;J. D'Olivo;F. Favela-P'erez;E. Garcés;A. G. Muñoz;J. O. Guerra-Pulido;J. Mancera-Alejandrez;D. J. Marín-Lámbarri;M. M. Montero-M.;J. Monroe;C. I. Ortega-Hern'andez;S. Paling;S. Peeters;D. Rodr'iguez;P. Scovell;C. Türkoğlu;E. V'azquez-J'auregui;J. Walding

Towards a low cost lead assay technique for drinking water using CMOS sensors

使用 CMOS 传感器实现低成本饮用水铅测定技术

• DOI: 10.48550/arxiv.2001.01777
• 发表时间: 2019
• 期刊: arXiv e-prints
• 作者: Deisting Alexander

Results on Low-Mass Weakly Interacting Massive Particles from an 11 kg d Target Exposure of DAMIC at SNOLAB

SNOLAB 上 11 kg·d DAMIC 目标暴露的低质量弱相互作用大质量粒子的结果

• DOI: 10.1103/physrevlett.125.241803
• 发表时间: 2020
• 期刊: Physical Review Letters
• 影响因子: 8.6
• 作者: Aguilar-Arevalo, A.;Amidei, D.;Baxter, D.;Cancelo, G.;Vergara, B. A. Cervantes;Chavarria, A. E.;D’Olivo, J. C.;Estrada, J.;Favela-Perez, F.;Gaïor, R.
• 通讯作者: Gaïor, R.