Functionalized PEDOT:PSS based sensor array for determination of metallic ions in smart agriculture

Tianqi Lu, A. Al-Hamry, Malak Talbi, Jichen Zhang, Anurag Adiraju, Mengfu Hou, O. Kanoun
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引用次数: 2

Abstract

A stable supply of metallic elements such as potassium, calcium, and magnesium is indispensable for plant growth. Therefore, qualitative and quantitative detection of metallic ions in aquaponic environments has been of interest. Impedimetric sensors are attractive for ease of preparation, low cost, and high sensitivity. In this paper, we present an impedimetric interdigitated electrode array for the determination of K(I), Ca(II), and Mg(II) based on functionalized PEDOT:PSS. We optimize the parameters for sensor fabrication, demonstrate the impedance characteristics and ion response properties of functionalized PEDOT:PSS, and use a hybrid algorithm to realize the classification of the array signal. It was found that the heating temperature and the number of coating layers significantly affect the conductivity of the sensor. We made the calibration curves of PEDOT:PSS/CuPc towards the ions at the concentration range of 1 – 10 mM. The different functionalized PEDOT:PSS exhibited verified selectivity for metallic ions. The PCA-SVM algorithm was employed as a classification model to identify metallic ions in liquids effectively
功能化PEDOT:基于PSS的传感器阵列用于智能农业中金属离子的测定
钾、钙、镁等金属元素的稳定供应对植物生长是不可缺少的。因此,水共生环境中金属离子的定性和定量检测已引起人们的兴趣。阻抗传感器具有易于制备、低成本和高灵敏度等优点。在本文中,我们提出了一种基于功能化PEDOT:PSS的阻抗交错电极阵列,用于测定K(I), Ca(II)和Mg(II)。我们优化了传感器的制作参数,展示了功能化PEDOT:PSS的阻抗特性和离子响应特性,并使用混合算法实现了阵列信号的分类。研究发现,加热温度和涂层层数对传感器的电导率有显著影响。制备了PEDOT:PSS/CuPc在1 ~ 10 mM浓度范围内对金属离子的校准曲线,不同功能化的PEDOT:PSS对金属离子的选择性得到验证。采用PCA-SVM算法作为分类模型,有效地识别了液体中的金属离子
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