ITO Nanoparticle Chemiresistive Sensor for Detecting Liquid Chemicals Diluted in Brine

An, Sangsu; Ko, Dongwan; Noh, Jaeha; Lee, Changhan; Seo, Dongmin; Lee, Moonjin; Chang, Jiho

doi:10.1007/s42341-022-00383-y

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…Among direct seawater salinity measurement techniques, chemo-resistive sensors are widely used [10][11][12]. A recent study in [13] investigated the sensitivity and selectivity of an ITO (Indium-Tin-Oxide) nanoparticle-based sensor for detecting liquid chemicals diluted in brine. This eco-friendly sensor performance is investigated using representative analytes such as methanol (MeOH), ethanol (EtOH), and isopropyl alcohol (IPA) diluted in brine (NaCl 3.5 wt.%).…”

Section: Direct Measurement Techniquesmentioning

confidence: 99%

Study and Design of a Machine Learning-Enabled Laser-Based Sensor for Pure and Sea Water Determination Using COMSOL Multiphysics

et al. 2022

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Accurate detection of salt in water is crucial in many applications. Numerous techniques, using direct and indirect methods, have been employed to design seawater sensors. Among the indirect sensing methods, optical sensors are known to be the most accurate, easy to implement, and suitable for application where the chemical properties of the solution to be tested should stay unchanged. This research presents a novel method for real-time label-free biochemical detection of salty water combining various optics concepts with a machine learning system. COMSOL Multiphysics has been employed to design and simulate the proposed sensor. The designed device uses a laser light emitted from the top of a water container, with a sensing part located on the bottom surface. The laser light initially propagates in the air portion, then refracts when it comes into contact with the air-water interface. Different parameters, including the laser beam wavelength and its incident angles, the temperature, and the air-water levels are employed to generate a set of data and the multilayer perceptron classifier (MLP) to model prediction. The obtained results validated the concept of the proposed sensor using machine learning. The sensor’s prediction precision under various temperature conditions is R2 = 0.844, the equivalent of an MSE of 0.155.

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Section: Direct Measurement Techniquesmentioning

confidence: 99%

Study and Design of a Machine Learning-Enabled Laser-Based Sensor for Pure and Sea Water Determination Using COMSOL Multiphysics

et al. 2022

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“…Chemo-resistive sensors are used to directly measure seawater salinity [4][5][6]. An environmentally friendly sensor made of indium-tin oxide (ITO) nanoparticles has been investigated for detecting liquid chemicals in brine [7]. Direct measuring procedures often involve chemical processes to change the solution's chemical properties.…”

Section: Introductionmentioning

confidence: 99%

Machine-Learning-Based Sensor Design for Water Salinity Prediction: A Conceptual Approach

et al. 2023

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This research paper introduces a sensor that utilizes a machine-learning model to predict water salinity. The sensor’s concept and design are established through a simulation software which enables accurate modeling and analysis. Operating on the principle of light transmission physics, the sensor employs data collected from the simulation software as input parameters to predict the salinity parameter, serving as the output. The results of the prediction model exhibit excellent performance, showcasing high accuracy with a coefficient of determination value of 0.999 and a mean absolute error of 0.074. These outcomes demonstrate the model’s ability, particularly the multi-layer perceptron model, to effectively predict salinity values for previously unseen input data. This performance underscores the model’s accuracy and its proficiency in handling unfamiliar input data, emphasizing its significance in practical applications.

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Study on the accuracy of Indium-Tin-Oxide (ITO) nanoparticle sensor based on solvent detection characteristics in water

An,

Lee,

Cho

et al. 2024

J. Korean Phys. Soc.

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ITO Nanoparticle Chemiresistive Sensor for Detecting Liquid Chemicals Diluted in Brine

Cited by 3 publications

References 25 publications

Study and Design of a Machine Learning-Enabled Laser-Based Sensor for Pure and Sea Water Determination Using COMSOL Multiphysics

Study and Design of a Machine Learning-Enabled Laser-Based Sensor for Pure and Sea Water Determination Using COMSOL Multiphysics

Machine-Learning-Based Sensor Design for Water Salinity Prediction: A Conceptual Approach

Study on the accuracy of Indium-Tin-Oxide (ITO) nanoparticle sensor based on solvent detection characteristics in water

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