A New Caffeine Detection Method Using a Highly Multiplexed Smartphone-Based Spectrometer

Overview

Journal Biosensors (Basel)

Specialty Biotechnology

Date 2024 Dec 27

PMID 39727855

Authors

Erhuan Zhuo

Huanxin Xia

Huan Hu

Yu Lin

Affiliations

Soon will be listed here.

Abstract

Smartphones equipped with highly integrated sensors are increasingly being recognized as powerful tools for rapid on-site testing. Here, we propose a low-cost, portable, and highly multiplexed smartphone-based spectrometer capable of collecting three types of spectra-transmission, reflection, and fluorescence-by simply replacing the optical fiber attached to the housing. Spectral analysis is performed directly on the smartphone using a custom-developed app. Furthermore, we introduce a high signal-to-noise ratio (SNR) caffeine detection scheme that leverages aspirin and salicylic acid as fluorescent probes, allowing for the rapid and straightforward detection of caffeine in various samples. The fluorescence quenching of the probes was found to be linearly related to the caffeine concentration (0-200 μM), and the recoveries of the commercially available caffeine-containing samples were in the range of 98.0333-105.6000%, with a limit of detection (LOD) of 2.58 μM. The reliability and stability of the on-site assay using the smartphone spectrometer were verified. More importantly, this spectrometer demonstrates great potential as a versatile device for use outside of laboratory settings by enabling different operating modes tailored to various scenarios.

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