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Rapid Antibiotic Susceptibility Testing by Reflectometric Interference Fourier Transform Spectroscopy on pH-responsive Hydrogel Infiltrated Porous Silicon Integrated into Microchips

This paper presents a rapid, label-free antimicrobial susceptibility testing platform that integrates pH-responsive hydrogel-infiltrated porous silicon microchips with microfluidics to detect bacterial metabolic acidification via optical interferometry, enabling accurate antibiotic susceptibility results for *E. coli* within 1.5 hours.

Original authors: Fereshteh Rahimi, Shima Abarghoe, Nizami Duran, Ali Abouei Mehrizi, Mahsa Sedighi, Mahya Mosayebzadeh, Elif Yaprak Çolak, Selin Sabancı

Published 2026-09-23✓ Author reviewed ⓘ
📖 4 min read☕ Coffee break read

Original authors: Fereshteh Rahimi, Shima Abarghoe, Nizami Duran, Ali Abouei Mehrizi, Mahsa Sedighi, Mahya Mosayebzadeh, Elif Yaprak Çolak, Selin Sabancı

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ⚕️ This is an AI-generated explanation of a preprint that has not been peer-reviewed. It is not medical advice. Do not make health decisions based on this content. Read full disclaimer

When a bacterial infection strikes, doctors face a race against time. They must choose an antibiotic that will stop the specific germ causing the illness, but bacteria are not all the same; some are tough enough to survive certain drugs while others are easily defeated. The standard way to find the right medicine involves growing the bacteria in a lab and watching them struggle against different drugs, a process that takes nearly a full day or longer. While doctors wait, they often have to guess which drug to use, a strategy that can fail if the guess is wrong and allows the bacteria to multiply or develop resistance. Scientists have long sought a faster way to see how bacteria react to medicine, one that does not rely on waiting for visible growth or using glowing dyes to track the cells.

A team of researchers has now built a tiny, integrated device that speeds up this testing process by watching how bacteria change the chemistry of their environment. The system relies on a simple biological fact: as bacteria eat and grow, they release acid, making their surroundings more sour. If a drug is working, the bacteria stop eating and the acid production halts. The researchers created a sensor that can detect these tiny shifts in acidity almost instantly. They combined a microscopic silicon chip, which acts like a highly sensitive ruler for light, with a soft, jelly-like material that swells when it gets wet and changes size when the acidity shifts. By trapping this jelly inside the tiny holes of the silicon chip, they created a sensor that physically expands or contracts based on the pH level of the liquid flowing over it. This physical change is measured by bouncing light off the chip and analyzing the pattern, allowing the device to "see" the chemical changes happening inside the bacteria's culture.

The researchers constructed this system using a 3D-printed microchip that acts as a concentration gradient generator. This device takes two streams of liquid—one containing bacteria and the other containing an antibiotic—and mixes them in precise ratios as they flow through tiny channels. This setup allows the system to test five different antibiotic concentrations simultaneously in a single run. The mixed liquids then flow over five separate sensing zones, each holding a piece of the silicon chip coated with the pH-sensitive jelly. When the bacteria in a specific channel are growing freely, they produce acid, causing the jelly to swell and change the way light reflects off the silicon. If the antibiotic in that channel is effective, the bacteria stop growing, no acid is produced, and the jelly remains unchanged. The entire process is monitored by a specialized optical setup that records these changes in real time.

To prove the system worked, the team tested it using a common bacterium called Escherichia coli and three different antibiotics: ciprofloxacin, gentamicin, and ceftazidime. They first verified that the sensor could accurately detect changes in acidity by exposing it to buffer solutions with known pH levels, confirming that the optical signal matched the chemical reality. They then showed that the sensor could detect the acid produced by growing bacteria without any antibiotics present. Finally, they ran the full test, exposing the bacteria to the three drugs. The results were striking. The device was able to determine which antibiotic concentrations stopped the bacteria from growing in just one and a half hours. This is a fraction of the time required by traditional methods, which typically need eight hours or more to produce reliable results.

The data collected by the rapid device matched the results from the slower, conventional tests with a high degree of accuracy. For the antibiotics ciprofloxacin and gentamicin, the agreement between the new method and the old standard was nearly perfect, and for ceftazidime, the match was even closer. The researchers confirmed that the changes they saw were indeed caused by the bacteria's metabolic activity and not by some other interaction with the sensor. By combining a 3D-printed mixing chip with a sensitive optical sensor, the team demonstrated a way to screen multiple drug concentrations at once, using very small amounts of liquid and no chemical labels. This approach offers a promising path toward faster, more precise decisions in treating bacterial infections, potentially helping doctors choose the right treatment much sooner than is currently possible.

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