A Novel MIR Imaging Approach for Precise Detection of S. epidermidis Biofilms in Seconds DOI Creative Commons
Björn van Marwick, Tatyana Sevastyanova, Felix Wühler

et al.

Biofilm, Journal Year: 2025, Volume and Issue: 9, P. 100270 - 100270

Published: March 6, 2025

The impact of microbial biofilm growth poses a threat to both human health and the performance industrial systems, manifesting as global crisis with noteworthy economic implications for modern society. Exploring new methods alternative approaches detection signatures are imperative developing optimized cost-effective strategies that can help identify early-stage formation. Clinical diagnostic technologies constantly looking more affordable, practical faster prevention chronic infections in periprosthetic joint (PJIs), which often characterized by formation on implant surfaces. Staphylococcus epidermidis (SE) is especially known its strong production considered leading cause biomaterial-associated infections, including PJIs. Implant-associated severe difficult treat, therefore it crucial continue identifying bacterial biomarkers contribute structural stability attachment This study presents pioneering approach fast spectral novel mid-infrared (MIR) scanning system. To highlight advantages our MIR system, we performed comparative analysis measurements from commercially available Fourier-transform infrared (FTIR) scanner. We have assessed SE biofilms grown 3 days comparing processing times between (IR) system (∼8 h/cm2), innovative rapid self-built detection, achieving reduction time seconds. K-means clustering identified pronounced differences distribution clusters, representing significant variation producing (RP62A) non-biofilm (ATCC 12228) strains. serves critical tool phenotypes, particularly where poly-N-acetylglucosamine (PNAG), key constituent extracellular polymeric substances (EPS) S. epidermidis, represents dominant mass fraction samples analyzed systems. In addition times, demonstrated significantly higher sensitivity compared FTIR, enabling clear differentiation chemical planktonic corresponding integrates advanced data analytics newly designed prototype, swift signatures. These signatures, now recognized targets diagnosing complex provide an traditional clinical diagnostics.

Language: Английский

A Novel MIR Imaging Approach for Precise Detection of S. epidermidis Biofilms in Seconds DOI Creative Commons
Björn van Marwick, Tatyana Sevastyanova, Felix Wühler

et al.

Biofilm, Journal Year: 2025, Volume and Issue: 9, P. 100270 - 100270

Published: March 6, 2025

The impact of microbial biofilm growth poses a threat to both human health and the performance industrial systems, manifesting as global crisis with noteworthy economic implications for modern society. Exploring new methods alternative approaches detection signatures are imperative developing optimized cost-effective strategies that can help identify early-stage formation. Clinical diagnostic technologies constantly looking more affordable, practical faster prevention chronic infections in periprosthetic joint (PJIs), which often characterized by formation on implant surfaces. Staphylococcus epidermidis (SE) is especially known its strong production considered leading cause biomaterial-associated infections, including PJIs. Implant-associated severe difficult treat, therefore it crucial continue identifying bacterial biomarkers contribute structural stability attachment This study presents pioneering approach fast spectral novel mid-infrared (MIR) scanning system. To highlight advantages our MIR system, we performed comparative analysis measurements from commercially available Fourier-transform infrared (FTIR) scanner. We have assessed SE biofilms grown 3 days comparing processing times between (IR) system (∼8 h/cm2), innovative rapid self-built detection, achieving reduction time seconds. K-means clustering identified pronounced differences distribution clusters, representing significant variation producing (RP62A) non-biofilm (ATCC 12228) strains. serves critical tool phenotypes, particularly where poly-N-acetylglucosamine (PNAG), key constituent extracellular polymeric substances (EPS) S. epidermidis, represents dominant mass fraction samples analyzed systems. In addition times, demonstrated significantly higher sensitivity compared FTIR, enabling clear differentiation chemical planktonic corresponding integrates advanced data analytics newly designed prototype, swift signatures. These signatures, now recognized targets diagnosing complex provide an traditional clinical diagnostics.

Language: Английский

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