AQUA-FINS:一种柔性集成硝酸盐传感器的先进水下定量分析

Shah Zayed Riam, Md. Najmul Islam, Ali Reza Galib, Mohammad Solaiman, AKM Sarwar Inam, Brian D. Ott, Shawana Tabassum
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引用次数: 0

摘要

这项工作提出了一种新型的集成传感器阵列,用于实时监测水产养殖中的关键水质参数:硝酸盐,pH值和温度。该阵列制造在柔性衬底上,包括电位硝酸盐和pH传感器,以及电阻式温度传感器。该传感器采用聚合物纳米复合材料和离子选择性膜,具有高选择性、低检出限0.44 mg L−1、灵敏度- 50 mV dec−1的近nernstian响应。基于聚苯胺的pH传感器在循环水水产样品中的灵敏度为- 56.959 mV / dec - 1,具有较高的重复性。温度传感器与温度变化呈线性关系(R2 = 0.921)。在鲶鱼循环养殖池中进行测试时,由于pH波动,硝酸盐传感器最初的均方根误差为4.779 mg L−1,但多元线性回归模型有效地纠正了这一误差,并显著提高了精度(均方根误差为3.090 mg L−1)。pH传感器的测量结果也与商用仪表的读数非常吻合(均方根误差为0.072)。这种集成传感器阵列为水产养殖中关键水质参数的实时原位监测提供了一种很有前途的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

AQUA-FINS: Advanced Quantitative Underwater Analysis by a Flexible Integrated Nitrate Sensor

AQUA-FINS: Advanced Quantitative Underwater Analysis by a Flexible Integrated Nitrate Sensor

This work presents a novel, integrated sensor array for real-time monitoring of key water quality parameters in aquaculture: nitrate, pH, and temperature. The array, fabricated on a flexible substrate, comprises potentiometric nitrate and pH sensors, and a resistive temperature sensor. The nitrate sensor, utilizing a polymer nanocomposite and ion-selective membrane, exhibited a near-Nernstian response with high selectivity, a low detection limit of 0.44 mg L−1, and a sensitivity of −50 mV dec−1. The polyaniline-based pH sensor demonstrated a sensitivity of −56.959 mV dec−1 in recirculating aquaculture water samples, along with a high repeatability. The temperature sensor showed a linear response to changes in temperature (R2 = 0.921). While testing in recirculating aquaculture tanks with catfish, the nitrate sensor initially showed a root mean square error of 4.779 mg L−1 due to pH fluctuations, but a multiple linear regression model effectively corrected this error, and significantly improved accuracy (with a root mean square error of 3.090 mg L−1). The pH sensor measurements also closely matched commercial meter readings (with root mean square error of 0.072). This integrated sensor array offers a promising solution for real-time, in situ monitoring of critical water quality parameters in aquaculture.

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