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Standardization of a Novel Semi-Automatic Software for Neurite Outgrowth Measurement

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A compact optical instrument with artificial neural network for pH determination.

Sonia Capel-Cuevas¹, Nuria López-Ruiz, Antonio Martinez-Olmos

¹Department of Analytical Chemistry, Campus Fuentenueva, Faculty of Sciences, University of Granada, E-18071 Granada, Spain. scapel@ugr.es

Sensors (Basel, Switzerland)

|July 11, 2012

Summary

This study developed a portable optical instrument for accurate pH determination using an eleven-membrane sensor array and artificial neural networks. The system efficiently calculates pH, minimizing costs and energy consumption for reliable measurements.

Keywords:

H coordinate HSV colour space neural networks pH sensor array portable instrument

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Area of Science:

Analytical Chemistry
Sensor Technology
Computational Chemistry

Background:

Accurate pH determination is crucial across various scientific and industrial applications.
Existing pH measurement methods may have limitations in portability, cost, or energy efficiency.
Optical sensor arrays offer a promising alternative for developing advanced pH monitoring tools.

Purpose of the Study:

To determine pH using a portable optical instrument equipped with a sensor array.
To implement artificial neural networks (ANNs) for precise pH calculation based on sensor responses.
To optimize the sensor array and ANN model for cost-effectiveness and energy efficiency.

Main Methods:

Development of an eleven-membrane optical sensor array with selective colorimetric responses across different pH intervals.
Application of ANNs to process sensor array data and generate pH values.
Utilization of a multi-objective algorithm for selecting optimal sensing elements and minimizing ANN complexity.
Validation of the instrument prototype using a diverse set of real-world samples.

Main Results:

An ANN model effectively translated the colorimetric responses of the sensor array into accurate pH values.
A multi-objective algorithm successfully identified the minimum number of membranes needed for accurate pH determination, reducing development costs and energy usage.
The final instrument prototype, utilizing all eleven membranes, demonstrated high accuracy and precision across the full pH range.
Performance evaluation on real samples confirmed the instrument's reliability and effectiveness.

Conclusions:

The developed portable optical instrument provides a highly accurate and reliable method for pH determination.
The integration of sensor arrays and ANNs offers a cost-effective and energy-efficient solution for pH monitoring.
This technology has the potential for widespread application in fields requiring precise pH measurements.