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Antibiotics have saved millions of lives worldwide since their discovery in the early 20th century. When we fill a prescription at the doctor's office or pharmacy today, most of us take for granted that these commonly prescribed medicines are real, and of good quality. But in the developing world, the manufacture and the distribution of substandard, nonlegitimate medicines is widespread. The World Health Organization estimates that up to 10 percent of all drugs worldwide could be falsified, with up to 50 percent of those some form of antibiotics. A counterfeit or diluted antibiotic can not only endanger an unwitting patient, but can also contribute to the wider problem of antimicrobial resistance.
A Colorado State University laboratory is putting chemistry to work on a simple, inexpensive way to identify such falsified and substandard antibiotics, offering a practical solution to a very real problem. The researchers have created a paper-based test that can quickly determine whether an antibiotic sample is appropriate strength, or diluted with filler substances like baking soda. Similar to the mechanism of a home pregnancy test, a strip of paper turns a distinctive color if a falsified antibiotic is present.
It's the latest paper-based chemical assay developed in the lab of Chuck Henry, professor in the Department of Chemistry. Researchers including first author Kat Boehle, a recently graduated PhD student, describe the invention in ACS Sensors.
"In this country, we take for granted that our antibiotics are good - we don't even think twice," Boehle said. "But counterfeit and substandard antibiotics are an extremely common thing in other parts of the world. The goal of this project has been to make a cheap detection device that is easy to use; our device costs literally a quarter to make."
Here's how it works: Bacteria naturally produce an enzyme that can give them resistance to antibiotics by chemically binding to portions of the antibiotic molecule. The researchers used this very enzyme, called beta-lactamase, to empower their device to detect the presence of antibiotics in a given sample.
For the test, the user dissolves the antibiotic in water, and adds the solution to a small paper device. The paper contains a molecule called nitrocefin that changes color when it reacts with the enzyme. In this setup, the antibiotic and the nitrocefin on the paper are in competition to bind with the enzyme in a detection zone.
With a good antibiotic dose, there is little color change in the paper strip, because the antibiotic out-competes the nitrocefin and successfully binds with the beta-lactamase enzyme. But in a falsified or weakened antibiotic, the paper goes red, because the enzyme instead reacts with the nitrocefin. In short, yellow means good (appropriate strength antibiotic); red means bad (diluted antibiotic).
The device also includes a pH indicator, to determine if a sample is acidic or alkaline. This extra information could further alert the user to whether a sample has been falsified with filler ingredients, which might otherwise confound the main test.
It's simple, it's fast (about 15 minutes), and it can be used by an untrained professional - all key goals of the project, Henry said. Traditional approaches for testing drug purity rely on large, expensive analytical equipment in labs, including mass spectrometry, making it challenging or impossible for developing countries to access easily.
To ensure the usability of the device, the researchers included in their experiment a blind test with five users who were unfamiliar with the device or the science behind it. They all successfully identified 29 out of 32 antibiotic samples as either legitimate or false.
The test is effective for a broad spectrum of beta-lactam antibiotics, but there's room for refinement. The sample most misidentified by untrained users was acetylsalicylic acid -commonly known as aspirin - which did not turn as red as the other false samples because its acidic pH destabilized the reaction. Being able to more accurately distinguish such specific chemicals will be the subject of future optimization of the new test, the researchers say.
Source: Colorado State University