Exploring Smartphone-based Spectrophotometry for Nutrient Identification and Quantification

TL;DR

This study develops and tests smartphone-based spectrophotometry devices for nutrient detection and quantification, demonstrating promising accuracy and potential for accessible nutritional assessment.

Contribution

The paper introduces a portable smartphone spectrophotometry prototype with a semi-automatic analysis pipeline, advancing accessible nutrient measurement technology.

Findings

LED light source outperformed others

Prototype achieved up to 91.3% accuracy in vitamin B12 quantification

Second-generation device was more reliable and portable

Abstract

Imbalanced nutrition is a global health issue with significant downstream effects. Current methods of assessing nutrient levels face several limitations, with accessibility being a major concern. In this paper, we take a step towards accessibly measuring nutrient status within the body. We explore the potential of smartphone-based spectrophotometry for identifying and quantifying nutrients in a solution by building and testing two prototype devices. We compared the prototypes and found that the limitations posed by the initial, simpler prototype were well addressed in the more portable and reliable second-generation device. With the second-generation prototype, we created and implemented a semi-automatic signal processing and analysis pipeline for analyzing absorption spectra. We thoroughly evaluated the prototypes by analyzing the effect of four different light sources and three reference spectra strategies. Results demonstrate that an LED bulb light source performed best, and all reference spectra strategies performed similarly. We then compared the second-generation prototype to a benchtop laboratory spectrophotometer to further validate the device. We applied the Beer-Lambert Law to demonstrate that our prototype is able to quantify the amount of vitamin B12 in a solution with an accuracy of up to 91.3%. Our in-depth analyses, discussions, and results demonstrate the potential use of smartphone-based spectrophotometry as an accessible method to identify and quantify nutrients and pave the way for future developments that can apply this approach to the human body.