An All-Solid-State Nitrate Ion-Selective Electrode with Nanohybrids Composite Films for In-Situ Soil Nutrient Monitoring

Abstract

In this paper, an all-solid-state nitrate doped polypyrrole (PPy(NO 3 − ) ion-selective electrode (ISE) was prepared with a nanohybrid composite film of gold nanoparticles (AuNPs) and electrochemically reduced graphene oxide (ERGO). Preliminary tests on the ISE based in-situ soil nitrate-nitrogen (NO 3 − -N) monitoring was conducted in a laboratory 3-stage column. Comparisons were made between the NO 3 − -N content of in-situ soil percolate solution and laboratory-prepared extract solution. Possible influential factors of sample depth, NO 3 − -N content, soil texture, and moisture were varied. Field-emission scanning electron microscopy (FESEM) and X-ray powder diffraction (XRD) characterized morphology and content information of the composite film of ERGO/AuNPs. Due to the performance excellence for conductivity, stability, and hydrophobicity, the ISE with ERGO/AuNPs illustrates an acceptable detection range from 10 −1 to 10 −5 M. The response time was determined to be about 10 s. The lifetime was 65 days, which revealed great potential for the implementation of the ERGO/AuNPs mediated ISE for in-situ NO 3 − -N monitoring. In-situ NO 3 − -N testing results conducted by the all-solid-state ISE followed a similar trend with the standard UV-VIS method.

Monitoring microalgal growth of Chlorella minutissima with a new all solid‐state contact nitrate selective sensor

“…34 All-solidstate ISEs do not include an internal reference electrode that leads to ease of miniaturization and automation. 35 In the present study, development of a new NO 3 À -ISE using a PVC membrane and its application in algal production were reported. In this context, C. minutissima was cultivated in a batch photobioreactor, and the microalgae growth was monitored via optical density analysis.…”

“…ISEs have been used in various fields including medical, agricultural, pollution control, food processing due to their robustness and accuracy 34 . All‐solid‐state ISEs do not include an internal reference electrode that leads to ease of miniaturization and automation 35 …”

Recent Advances in Chemical Sensors for Soil Analysis: A Review

“…The the DL of ISEs were 28.2 and 20.6 µM for NH 4 + and NO 3 − , respectively. The nitrite-doped polypyrrole (PPy-NO 3 ) with a nanohybrid composite mediate layer of electrochemically reduced GO and Au nanoparticles was employed for an all-solid-state nitrate ion-selective electrode for in-situ soil nutrient monitoring in [61]. The sensor had a DL of 6.3 µM and an over two-month lifetime.…”

Application of Hyperspectral Technology Combined With Bat Algorithm-AdaBoost Model in Field Soil Nutrient Prediction

“…Because the predefined parameter values may not contain the globally optimal parameter values, the aforementioned model cannot achieve the best effect [29]. In order to overcome the problems of machine learning models in finding the best model parameters, classical optimization algorithms such as the genetic algorithm and the particle swarm optimization algorithm are used to optimize the internal parameters of machine learning models [30]. However, classical optimization algorithms such as particle swarm optimization (PSO) are sensitive to the initial parameter setting, and it is easy to fall into the locally optimal solution in the optimization process, resulting in slow convergence speed in the later stages of the algorithms [31].…”