Bulletin of the American Physical Society
2025 Annual Meeting of the APS Far West Section
Friday–Sunday, October 10–12, 2025; UC Santa Cruz - Stevenson College
Session S00: Posters II: Condensed Matter, Materials Science, Education, Gravitation, Plasma, Nuclear, Climate Science, and Other Physics (10:30AM - 12:00PM)
10:30 AM,
Sunday, October 12, 2025
UC Santa Cruz Stevenson College
Room: Stevenson Campus
Abstract: S00.00034 : Analysis of Pathogen Detection using Macroscopic Fluorescence from DNA Stains on Bacterial Solution Drops*
Presenter:
Manassa Suresh
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Authors:
Manassa Suresh
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Adith Shankar
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Ananya Suresh
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Archana Suresh
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Nicole Herbots
(InnovaBug LLC/ SiO2 Innovates LLC/ Arizona State University Physics)
Collaboration:
Innovabug
The present work aims to design, test, and optimize a handheld, low-cost, and rapid diagnostic device for detecting pathogens in small fluid volumes. The device, referred to as InnovaBug™, operates using a principle called macroscopic fluorescence. Fluorescence emission is captured via digital images from sets of four 0.1 mL pathogen-solution drops deposited on superhydrophilic strips. These drops are impregnated with DNA- or RNA-specific fluorescent dyes. SYBR Safe Green dyes are utilized for detecting DNA from bacteria. The net green fluorescence produced is expected to scale proportionally with the quantity of pathogens.
To validate this principle, various sets of identically metered solution drops are digitally photographed to quantify a ratio defined as green fluorescence (540 nm) emission to blue illumination (470 nm) emission, denoted as Rg/b. Rg/b values are subsequently correlated to the calibrated count of bacteria in drops sampled from different bacterial dilutions. This is achieved by extracting a color intensity spectrum in the form of an RGB (Red-Green-Blue) spectrum from the images.
The blue and green emissions are integrated into the RGB spectrum and scaled by the intensity recorded for the corresponding color channels.
Bacterial detection has been successfully replicated in four independent laboratories. The primary focus of the present work lies in measuring Rg/b under various conditions when drops are applied and assessing the impact of microfluidics on both bacterial detection and bacterial load as measured via the Rg/b ratio.
*InnovaBug™ LLC.SiO2 Innovates LLC.
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