HOMEs under the microscope: Citizen-led characterisation Of airborne micropLAstic sources (HOME Co-LAb)

显微镜下的 HOME:公民主导的空气微塑料来源表征(HOME Co-LAB)

基本信息

  • 批准号:
    BB/V012584/1
  • 负责人:
  • 金额:
    $ 41.37万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    未结题

项目摘要

The negative impact of plastics on the marine environment are relatively well understood, and both Stockholm and Basel Conventions aim to limit its impact, however, little attention is paid to their presence in air. Evidence from the sparse literature show that microplastics abound in air, from densely populated urban environments to remote environments such as the Arctic and fibrous microplastics predominate. Their origin is unknown. Indoor exposure to airborne microplastics through inhalation is a potentially significant health risk, increasing the risk of COPD. In one study, plant and plastic fibres were identified in 97% of malignant lung specimens. Clothing accounts for 75% of all textiles bought in the UK and is known to release significant quantities of microplastics into the watercourse when washing. We hypothesise that clothing is also releasing significant quantities into the air during drying and use. An outline of our science and engagement approach is set out below. Engagement Design: The project design allows different levels of engagement, with high engagement citizens undertaking the pilot's developmental and stress-testing Phase 1, which is intended to facilitate interaction in Phase 2 with those citizens preferring a low-engagement approach. This approach of using highly engaged citizens to create opportunities for others with low-engagement preferences is designed to allow for engagement with a broader cross-section of society and maximise sample collection. The project will evolve across two phases. Phase 1 (Pilot): The purpose of this phase is three-fold. First, collect initial microplastic samples from a range of different domestic settings; second, to test the accessibility and quality of various clip-on microscopes, and to develop the python-based automated image analysis platforms for the analysis of samples; and third, to obtain feedback from citizens on these points with a view to improving the method for a wider roll-out. Citizens will be recruited via community partner networks. Samples will also be returned to UWE for further analysis by Raman spectroscopy, a spectroscopic technique typically used to provide a molecular structural fingerprint by which molecules can be identified, to determine microplastic composition. Phase 2 (Bristol and Bradford roll-out): This phase will see the roll-out of the piloted and refined sampling, analysis and reporting approaches to the Bristol and Bradford areas. Citizens will collect data using the passive sampling and analysis approaches developed in Phase 1 and analysis will be undertaken using a bespoke image processing tool and analysed further by Raman spectroscopy. In addition, citizens will interact with industry to understand their perceptions of plastic use, clothing treatment and current behaviour patterns. These phases will be delivered across three work packages, summarised here and set out in more detail within the case for support. WP1: This work package will focus on the recruitment of citizens from a range of community groups, ensuring that participation is a positive, enjoyable and informative experience and establishing a two-way dialogue between project members and participants. WP2: Focuses on the development and implementation of the sampling and analysis approach. This work package will, with the aid of citizens, test the sampling procedures, develop an online platform for citizens to analyse their samples and allow the Raman sample preparation and analysis to be refined. The outcome from this work package will be an understanding of both particle count, shape and microplastic composition. WP3: Brings together citizens and the clothing industry, a key stakeholder in the field of airborne microplastics, through a two-way dialogue, to co-develop policy recommendations leveraging the full potential of citizen science to drive bottom-up change.
塑料对海洋环境的负面影响相对较好地了解,斯德哥尔摩和巴塞尔公约都旨在限制其影响,但很少关注空气中的塑料。来自稀疏文献的证据表明,从人口稠密的城市环境到北极等偏远环境,空气中充斥着微塑料,纤维状微塑料占主导地位。它们的来源不明。室内通过吸入暴露于空气中的微塑料是一种潜在的重大健康风险,增加了COPD的风险。在一项研究中,在97%的恶性肺标本中发现了植物和塑料纤维。在英国购买的所有纺织品中,服装占75%,众所周知,服装在洗涤时会向水道中释放大量的微塑料。我们假设衣服在干燥和使用过程中也会向空气中释放大量的甲醛。我们的科学和参与方法概述如下。订婚设计:项目设计允许不同程度的参与,参与度高的公民进行试点的发展和压力测试阶段1,这是为了促进与那些喜欢低参与度方法的公民在第二阶段的互动。这种利用高参与度公民为低参与度偏好的其他人创造机会的方法旨在允许与更广泛的社会各界进行接触,并最大限度地收集样本。该项目将分为两个阶段。第一阶段(试点):这一阶段的目的有三个方面。首先,从一系列不同的国内环境中收集初始微塑料样品;第二,测试各种夹式显微镜的可访问性和质量,并开发基于Python的自动图像分析平台用于分析样品;第三,从公民那里获得关于这些问题的反馈,以改进方法,以便更广泛地推广。公民将通过社区合作伙伴网络招募。样品也将返回UWE,通过拉曼光谱进行进一步分析,这是一种光谱技术,通常用于提供分子结构指纹,通过该指纹可以识别分子,以确定微塑料成分。第二阶段(布里斯托和布拉德福德推广):在这一阶段,将在布里斯托和布拉德福德地区推广经过试点和完善的采样、分析和报告办法。公民将使用第一阶段开发的被动采样和分析方法收集数据,并使用定制的图像处理工具进行分析,并通过拉曼光谱进行进一步分析。此外,市民将与行业互动,了解他们对塑料使用,服装处理和当前行为模式的看法。这些阶段将在三个工作包中交付,在此进行了总结,并在支持案例中进行了更详细的阐述。WP 1:该工作包将侧重于从一系列社区团体招募公民,确保参与是一种积极、愉快和有益的经历,并在项目成员和参与者之间建立双向对话。WP 2:侧重于制定和实施采样和分析方法。这一工作包将在公民的帮助下测试取样程序,开发一个公民分析其样品的在线平台,并使拉曼样品制备和分析得以完善。该工作包的结果将是对颗粒计数、形状和微塑料成分的理解。工作点3:通过双向对话,将公民和服装行业(空气中微塑料领域的关键利益相关者)聚集在一起,共同制定政策建议,充分利用公民科学的潜力,推动自下而上的变革。

项目成果

期刊论文数量(1)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Embedding citizens within airborne microplastic and microfibre research
让公民参与空气中的微塑料和微纤维研究
  • DOI:
    10.1017/plc.2023.11
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Williams B
  • 通讯作者:
    Williams B
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Ben Williams其他文献

Transmitting Awareness (saṅkrānti)
传递意识(saṅkrānti)
  • DOI:
    10.1163/15728536-06702005
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0.2
  • 作者:
    James D. Reich;Ben Williams
  • 通讯作者:
    Ben Williams
No Neon, but Jets in the Remarkable Recurrent Nova M31N 2008-12a?—Hubble Space Telescope Spectroscopy of the 2015 Eruption
引人注目的复发新星 M31N 2008-12a 中没有氖气,只有喷流?——哈勃太空望远镜对 2015 年喷发的光谱分析
  • DOI:
    10.3847/1538-4357/aa8867
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    0
  • 作者:
    M. Darnley;R. Hounsell;R. Hounsell;P. Godon;P. Godon;D. Perley;Martin Henze;N. Kuin;Ben Williams;S. Williams;S. Williams;M. Bode;D. Harman;K. Hornoch;M. Link;J. Ness;V. Ribeiro;E. Sion;A. Shafter;M. Shara
  • 通讯作者:
    M. Shara
Lubrication empirical model to predict tensile strength of directly compressed powder blends
  • DOI:
    10.1016/j.ijpharm.2020.119980
  • 发表时间:
    2021-01-05
  • 期刊:
  • 影响因子:
  • 作者:
    Joelle Nassar;Ben Williams;Conrad Davies;Kevin Lief;Richard Elkes
  • 通讯作者:
    Richard Elkes
Comparing the Learning Effectiveness of REDEEM and CBT
REDEEM 和 CBT 的学习效果比较
  • DOI:
  • 发表时间:
    2003
  • 期刊:
  • 影响因子:
    0
  • 作者:
    U. Hoppe;F. Verdejo;J. Kay;Shaaron E. Ainsworth;Ben Williams;D. Wood
  • 通讯作者:
    D. Wood
Enhancing automated analysis of marine soundscapes using ecoacoustic indices and machine learning
使用生态声学指数和机器学习增强海洋声景的自动化分析
  • DOI:
    10.1016/j.ecolind.2022.108986
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    6.9
  • 作者:
    Ben Williams;Timothy A. C. Lamont;L. Chapuis;Harry R. Harding;Eleanor B. May;Mochyudho E. Prasetya;M. Seraphim;J. Jompa;David J. Smith;N. Janetski;A. Radford;S. Simpson
  • 通讯作者:
    S. Simpson

Ben Williams的其他文献

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{{ truncateString('Ben Williams', 18)}}的其他基金

EAPSI: Using Shear Wave Splitting to Study Anisotropy in the Vicinity of the 2008 Wenchuan Earthquake
EAPSI:利用剪切波分裂研究 2008 年汶川地震附近的各向异性
  • 批准号:
    1015516
  • 财政年份:
    2010
  • 资助金额:
    $ 41.37万
  • 项目类别:
    Fellowship Award
Context Effects on Reinforcement
情境对强化的影响
  • 批准号:
    9306736
  • 财政年份:
    1993
  • 资助金额:
    $ 41.37万
  • 项目类别:
    Continuing Grant
Facilitation of Complex Discrimination
促进复杂的歧视
  • 批准号:
    7403101
  • 财政年份:
    1974
  • 资助金额:
    $ 41.37万
  • 项目类别:
    Standard Grant

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体硅下薄膜(TUB,Thinfilm Under Bulk)复合结构成型机理及其高性能器件研究
  • 批准号:
    61674160
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    2016
  • 资助金额:
    65.0 万元
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    面上项目

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Development and evaluation of a combined X-ray transmission and diffraction imaging system for pathology
用于病理学的组合 X 射线透射和衍射成像系统的开发和评估
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    10699271
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    2023
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