We report the findings of preliminary investigation corresponding to an optical detection technique implementing smartphone as our receiver towards quantitative assessment of heavy metal ions, namely, Cu, Zn, and Ni. Using intensity modulation, the optical responses are attained through a user-friendly app. The sensing region is made up of optical fiber whose cladding portion has been etched. Subject to varying concentrations of these metal ions, the modulated responses are attained, which reveal a declining trend. The absence of traditional parts such as a spectrophotometer makes the reported scheme cost-effective as well as field-portable.
A Machine Learning-Based Detection Technique for Optical Fiber Nonlinearity Mitigation
