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Photoluminescence: Applications

Photoluminescence: Applications

Photoluminescence offers a wide range of applications due to its inherent sensitivity and selectivity. This technique allows for both direct and indirect analyses of the analyte. Direct quantitative analysis is possible when the analyte exhibits a favorable quantum yield for fluorescence or phosphorescence. However, an indirect analysis may be feasible if the analyte is not fluorescent or phosphorescent, or if the quantum yield is unfavorable. Indirect methods include reacting the analyte with...

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Monitoring Cell-autonomous Circadian Clock Rhythms of Gene Expression Using Luciferase Bioluminescence Reporters

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Smartphone-based low light detection for bioluminescence application.

Huisung Kim¹, Youngkee Jung¹, Iyll-Joon Doh¹

¹Applied Optics Laboratory, School of Mechanical Engineering, Purdue University, West Lafayette, Indiana 47907, USA.

Scientific Reports

|January 10, 2017

Summary

This summary is machine-generated.

We developed a smartphone-based system (BAQS) to detect low-level light signals. This device enables sensitive, onsite analysis of luminescent biological and non-biological samples.

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Area of Science:

Analytical Chemistry
Biophotonics
Mobile Sensing Technology

Background:

Standard smartphone cameras have limited sensitivity for detecting low light intensities.
Onsite quantitation of luminescent signals is crucial for various analytical applications.

Purpose of the Study:

To develop and validate a smartphone-based device and algorithm for highly sensitive detection of radiant flux.
To enable onsite analysis and quantitation of luminescent signals using readily available mobile technology.

Main Methods:

A smartphone-based device (BAQS) with a cradle, sample tube, and collection lens was designed.
An imaging-processing algorithm incorporating noise reduction by ensemble averaging was developed.
Five smartphone models (Android and iOS) were tested for sensitivity and performance.

Main Results:

The BAQS system significantly enhances smartphone camera sensitivity, detecting single-digit picowatts (pW) of radiant flux.
The system successfully quantified luminescence from the bioluminescent reporter *Pseudomonas fluorescens* M3A.
The OnePlus One smartphone achieved the best results, detecting luminescence from ~10^6 CFU/mL (~10^7 photons/s) with 180s integration.

Conclusions:

Smartphone-based technology can be optimized for sensitive detection of low-level luminescent signals.
The BAQS system offers a promising platform for portable, onsite quantitation of analytes.
This approach expands the capabilities of mobile devices for scientific analysis and diagnostics.