Microbial detection
is crucial for the control and prevention of
infectious diseases, being one of the leading causes of mortality
worldwide. Among the techniques developed for bacterial detection,
those based on metabolic indicators are progressively gaining interest
due to their simplicity, adaptability, and, most importantly, their
capacity to differentiate between live and dead bacteria. Prussian
blue (PB) may act as a metabolic indicator, being reduced by bacterial
metabolism, producing a visible color change from blue to colorless.
This molecule can be present in two main forms, namely, the soluble
and the insoluble, having different properties and structures. In
the current work, the bacterial-sensing capacity of soluble and insoluble
PB will be tested and compared both in suspensions as PB-NPs and after
deposition on transparent indium tin oxide-poly(ethylene terephthalate)
(ITO-PET) electrodes. In the presence of live bacteria, PB-NPs are
metabolized and completely reduced to the Prussian white state in
less than 10 h for soluble and insoluble forms. However, when electrodeposited
on ITO-PET substrates, less than 1 h of incubation with bacteria is
required for both forms, although the soluble one presents faster
metabolic reduction kinetics. This study paves the way to the use
of Prussian blue as a metabolic indicator for the early detection
of bacterial infection in fields like microbial diagnostics, surface
sterilization, food and beverage contamination, and environmental
pollution, among others.
A smart textile for live bacteria detection of antimicrobial hospital tissues is here proposed. The capacity to detect viable bacteria is based on the use of Prussian Blue (PB) as electrochromic compound, with a clear reversible change of colour from PB to Prussian White (PW) after reduction from a bacterial metabolism process. PB nanoparticles are incorporated to polyester cotton fabrics by ultrasonic deposition. After performing different tests with bacterial samples of E. coli and S. aureus, a full colour change of the textiles was observed. These smart textiles will allow to determine the self-life of the antibacterial compounds as well to improve the control of hospital infections.
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