颜值测量传感器阵列用于对具有环境相关性的模型分析物的多功能检测和区分
Mina Adampourezare1,2, Behzad Nikzad1, Sanaz Sajedi-Amin3
1Research Center of Bioscience and Biotechnology, University of Tabriz, Tabriz, Iran.
BMC chemistry
|April 22, 2024
概括
智能手机的色度传感器阵列使用模式识别准确地识别和区分有机和无机基. 这种低成本的方法为检测污染物提供了一种敏感的方法.
科学领域:
- 分析化学 分析化学
- 化学传感器 化学传感器
- 环境监测 环境监测
背景情况:
- 精确识别有机和无机基对于环境和工业应用至关重要.
- 现有的基底检测方法可能是复杂的,昂贵的或耗时的.
- 开发快速,灵敏和便携式检测系统是非常可取的.
研究的目的:
- 开发基于智能手机的快速,简单,低成本和灵敏的色度传感器阵列,用于确定和区分各种有机和无机基.
- 利用模式识别方法对传感器阵列颜色变化的定量分析.
- 评估系统的灵敏度,精度和实际应用的潜力.
主要方法:
- 使用一种由颜色敏感染料 (Fuchsine,Giemsa,Thionine,CoCl2) 组成的传感器阵列.
- 视觉观察到颜色变化,并使用RGB空间的数字成像进行记录.
- 使用颜色校准,线性差异分析 (LDA) 和等级集群分析 (HCA) 进行了定量分析.
主要成果:
- 对于不同的基质,生成了独特的色度图案,允许差异化.
- 在LDA和HCA图中,分析物被有效地按类别和度 (0.001-1.0 mol L-1) 集群.
- 获得了高灵敏度和85%的整体精度.
- LDA显示第一个功能因子和分析物度之间存在强烈的相关性 (R2范围:0.864-0.996).
结论:
- 提出的基于智能手机的色度传感器阵列是一个有前途的工具,可以轻松检测和区分有机和无机.
- 该系统显示了包装技术和环境污染物监测等领域的实际应用潜力.
- 这种方法为传统分析方法提供了灵敏,低成本和快速的替代方案.
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