Screen-printed graphite electrode on polyvinyl chloride and parchment strips integrated with genetic programming for in situ nitrate sensing of aquaponic pond water

Concepcion, Ronnie; Duarte, Bernardo; Palconit, Maria Gemel B.; Baun, Jonah Jahara; Vicerra, Ryan Rhay P.; Dadios, Elmer P.

doi:10.1016/j.inpa.2023.02.002

Cited by 3 publications

(2 citation statements)

References 35 publications

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“…It not only facilitates sensor actuation if required but also processes data from the sensor circuit, prepares data for the IoT network, and establishes communication with a wireless modem to create the IoT network. 87,112,113,115,[157][158][159][160][161][162][163][164][165][166][167][168][169][170][171] In the following subsections, the specifics of the electronic circuit for both optical and electrochemical sensors will be explored, followed by a detailed examination of the computing system. This comprehensive approach aims to provide a complete understanding of the electronic system's functionalities for integrating N sensors into the IoT network.…”

Section: Electronic System To Integrate N Sensormentioning

confidence: 99%

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Shrestha,

Wei

2024

J. Electrochem. Soc.

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Smart agriculture (SA) based on the framework of precision agriculture (PA) is a vital component of sustainable and efficient food production, with nitrogen (N) management playing a pivotal role. However, existing agricultural practices often suffer from low nitrogen use efficiency (NUE), posing a challenge to SA. To tackle this issue, real-time N sensing technologies offer farmers precise and timely information about soil N levels, enabling precise N fertilizer application. Integrating these technologies with the Internet of Things (IoT) can further augment their capabilities, creating a seamless platform for data collection, analysis, and decision-making for great opportunities to improve NUE. Nevertheless, the adoption of real-time N sensing and IoT integration also presents several challenges, including selecting appropriate sensing technologies, effective data mining and management, and acquiring specialized knowledge and training. This review paper provides a comprehensive analysis of the opportunities and challenges associated with real-time N sensing technologies and IoT integration in smart farming. By showcasing best practices and innovative solutions, the paper aims to foster widespread adoption of SA practices, ultimately elevating the sustainability and productivity of agricultural systems.

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Section: Electronic System To Integrate N Sensormentioning

confidence: 99%

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Shrestha,

Wei

2024

J. Electrochem. Soc.

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“…However, it comes with the drawbacks of higher costs associated with ion-selective electrode preparation and maintenance, potential interference from other substances, and a limited linear range. Voltage amperometry is a widely applicable and sensitive electrochemical method, particularly suitable for the development of portable sensors in an aquaculture [ 15 , 16 ], such as screen-printed electrodes (SPEs) [ 17 ]; however, it exhibits relatively lower specificity and may be influenced by sample complexity and operational intricacies. A current research focus in nitrate detection lies in the nanomaterial-modified electrode method, such as metal nanoparticles, carbon-based nanomaterials, and graphene, which have excellent electrocatalytic performance, contributing to improving the electrochemical signal of nitrates and enhancing detection sensitivity [ 18 , 19 ], offering enhanced selectivity and sensitivity.…”

Section: Introductionmentioning

confidence: 99%

Selective and Accurate Detection of Nitrate in Aquaculture Water with Surface-Enhanced Raman Scattering (SERS) Using Gold Nanoparticles Decorated with β-Cyclodextrins

Li,

Hu,

Wang

et al. 2024

Sensors

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A surface-enhanced Raman scattering (SERS) method for measuring nitrate nitrogen in aquaculture water was developed using a substrate of β-cyclodextrin-modified gold nanoparticles (SH-β-CD@AuNPs). Addressing the issues of low sensitivity, narrow linear range, and relatively poor selectivity of single metal nanoparticles in the SERS detection of nitrate nitrogen, we combined metal nanoparticles with cyclodextrin supramolecular compounds to prepare a AuNPs substrate enveloped by cyclodextrin, which exhibits ultra-high selectivity and Raman activity. Subsequently, vanadium(III) chloride was used to convert nitrate ions into nitrite ions. The adsorption mechanism between the reaction product benzotriazole (BTAH) of o-phenylenediamine (OPD) and nitrite ions on the SH-β-CD@AuNPs substrate was studied through SERS, achieving the simultaneous detection of nitrate nitrogen and nitrite nitrogen. The experimental results show that BTAH exhibits distinct SERS characteristic peaks at 1168, 1240, 1375, and 1600 cm−1, with the lowest detection limits of 3.33 × 10−2, 5.84 × 10−2, 2.40 × 10−2, and 1.05 × 10−2 μmol/L, respectively, and a linear range of 0.1–30.0 μmol/L. The proposed method provides an effective tool for the selective and accurate online detection of nitrite and nitrate nitrogen in aquaculture water.

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CMOS-Based Monochrome Encoding and Mealy State Machine Modeling of a Storage Monitoring System for Growing Mycelium

Padilla,

Verga,

Llanes

et al. 2023

2023 IEEE 15th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environ

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Screen-printed graphite electrode on polyvinyl chloride and parchment strips integrated with genetic programming for in situ nitrate sensing of aquaponic pond water

Cited by 3 publications

References 35 publications

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Review—Perspectives on the Roles of Real time Nitrogen Sensing and IoT Integration in Smart Agriculture

Selective and Accurate Detection of Nitrate in Aquaculture Water with Surface-Enhanced Raman Scattering (SERS) Using Gold Nanoparticles Decorated with β-Cyclodextrins

CMOS-Based Monochrome Encoding and Mealy State Machine Modeling of a Storage Monitoring System for Growing Mycelium

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