Revolutionizing Gram-negative bacteria detection : FLIM and multicolor imaging based selective interaction study using colistin passivated carbon dots
Pathak, A., Navaneeth, P., Gupta, M., Pradeep, A., Nair, B. G., Suneesh, P. V., Elangovan, R., Sundberg, L.-R., Marjomäki, V., & Satheesh Babu, T. G. (2023). Revolutionizing Gram-negative bacteria detection : FLIM and multicolor imaging based selective interaction study using colistin passivated carbon dots. Sensors and Actuators B: Chemical, 395, Article 134433. https://doi.org/10.1016/j.snb.2023.134433
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Sensors and Actuators B: ChemicalAuthors
Date
2023Discipline
Nanoscience CenterHyvinvoinnin tutkimuksen yhteisöResurssiviisausyhteisöSolu- ja molekyylibiologiaNanoscience CenterSchool of WellbeingSchool of Resource WisdomCell and Molecular BiologyAccess restrictions
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© 2023 Elsevier B.V. All rights reserved.
The rising prevalence of antibiotic-resistant Gram-negative bacteria presents a major challenge for healthcare and requires the development of new and effective detection techniques. In this study, we present a novel and simple method for the selective detection of Gram-negative bacteria using multi-emissive colistin-passivated carbon dots (m-CCD) based on Fluorescence Lifetime (FLT) response and bioimaging. The m-CCD was synthesized using a one-step microwave-assisted hydrothermal process, and its interaction with Gram-negative bacteria was studied using Fluorescence Lifetime Imaging Microscopy (FLIM) and automated Confocal Laser Scanning Microscopy (CLSM). The investigations revealed a notable reduction in the FLT of m-CCD-treated Gram-negative bacteria (average lifetime of m-CCD, (τavg) m-CCD is 3.91 ns and m-CCD treated Gram-negative bacteria, (τavg) m-CCD-bac is 1.57 ns), demonstrating the selective interaction between them. Furthermore, the CLSM data revealed high specificity of m-CCD for Gram-negative bacteria, even in polymicrobial samples. Importantly, we also demonstrate that this method can quantify Escherichia coli (E. coli) cells with two linear ranges such as 3.40 × 105 – 9.80 × 105 CFU mL−1 and 6.90 × 107–4.14 × 108 CFU mL−1 in standard culture and real samples such as tap water and human urine with a limit of detection ∼ 3.68–4.89 × 104 CFU mL−1. This straightforward method has great potential for the rapid and selective detection of Gram-negative bacteria, paving the way for early diagnosis and treatment of bacterial infections.
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The financial support is provided by the Department of Biotechnology (DBT), Govt. of India project no. BT/PR20898/MED/29/1211/2017. The authors thank Sophisticated Analytical Instruments Facility (SAIF), CUSAT, Kerala, for their generous help in HR-TEM imaging of m-CCD. The authors also thank the Indian Institute of Technology-Kanpur for performing the XPS characterization of m-CCD. The authors are grateful to Sophisticated Analytical & Technical Help Institutes (SATHI) facilities situated at IIT-Delhi Sonipat campus for allowing us to carry out the advanced confocal and fluorescence lifetime imaging microscopic analysis. ...License
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