Operational and commercial optimization for monitoring and sensoring ions in water is a challenging task for the current scientific and industrial world. For resolving this issue sensor could help identify new viable water sources that can mitigate today's global water crisis. The current water crisis primarily correlates to the increasing water demand due to burgeoning population, accelerated industrialization and urbanization. The about six-fold increase in water consumption with a corresponding three-fold increase in global population was recorded in the past century Gude, 2015) This is a clear indicator of potential and adverse water stress conditions. A statistic predicts over 33 countries are liable to face acute water stress by 2040, which calls for rapid action for efficient crisis management. On the other hand, companies related to the food, water treatment, and pharmaceutical fields are facing technological challenges to ensure the purity of their water sources.
Reuse of water in production processes can reduce costs allowing manufacturers to be competitive. One of the main issues for reusing the water is the lack of fast and reliable sensoring devices for the characterization of the water. Another is the long response time of conventional tests. This requires sensoring technologies that can eliminate these obstacles and that can identify a potential risk of reusing contaminated water. This research focuses on the Mach-Zehnder interferometer (MZI); a technique to identify and quantify ions in drinking water based on optical interferometric measurements. The refractive index identifies which component is present in an analyzed sample. The visibility term involves a concentration parameter that allows quantifying the component present. This two-term were simulated in a MATLAB algorithm based on a fitting method between the generated interferometric spectral signal from the MZ and a model based on theoretical MZI equations. The use of this fitting model can give valuable insights for further applications of water sensoring technologies such as an optofluidic chip, a promising technology for identification and quantification of ions in drinking water.
Citación recomendada (normas APA)
Juan Sebastián Álvarez Rincón, "Modelling Mach-Zenhder spectral interference signal = Modelamiento de la señal interferometrica Mach-Zenhder", -:-, 2017. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/2089220/), el día 2025-05-16.
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