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Narayana Iyengar S, Dietvorst J, Ferrer-Vilanova A, Guirado G, Muñoz-Berbel X, Russom A. Toward Rapid Detection of Viable Bacteria in Whole Blood for Early Sepsis Diagnostics and Susceptibility Testing. ACS Sens 2021; 6:3357-3366. [PMID: 34410700 PMCID: PMC8477386 DOI: 10.1021/acssensors.1c01219] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
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Sepsis is a serious
bloodstream infection where the immunity of
the host body is compromised, leading to organ failure and death of
the patient. In early sepsis, the concentration of bacteria is very
low and the time of diagnosis is very critical since mortality increases
exponentially with every hour after infection. Common culture-based
methods fail in fast bacteria determination, while recent rapid diagnostic
methods are expensive and prone to false positives. In this work,
we present a sepsis kit for fast detection of bacteria in whole blood,
here achieved by combining selective cell lysis and a sensitive colorimetric
approach detecting as low as 103 CFU/mL bacteria in less
than 5 h. Homemade selective cell lysis buffer (combination of saponin
and sodium cholate) allows fast processing of whole blood in 5 min
while maintaining bacteria alive (100% viability). After filtration,
retained bacteria on filter paper are incubated under constant illumination
with the electrochromic precursors, i.e., ferricyanide and ferric
ammonium citrate. Viable bacteria metabolically reduce iron(III) complexes,
initiating a photocatalytic cascade toward Prussian blue formation.
As a proof of concept, we combine this method with antibiotic susceptibility
testing to determine the minimum inhibitory concentration (MIC) using
two antibiotics (ampicillin and gentamicin). Although this kit is
used to demonstrate its applicability to sepsis, this approach is
expected to impact other key sectors such as hygiene evaluation, microbial
contaminated food/beverage, or UTI, among others.
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Affiliation(s)
- Sharath Narayana Iyengar
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 17165, Sweden
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology, Stockholm 17165, Sweden
| | - Jiri Dietvorst
- Instituto de Microelectrónica de Barcelona (IMB-CNM, CSIC), Universitat Autónoma de Barcelona, Cerdanyola del vallès, Barcelona 08193, Spain
| | - Amparo Ferrer-Vilanova
- Instituto de Microelectrónica de Barcelona (IMB-CNM, CSIC), Universitat Autónoma de Barcelona, Cerdanyola del vallès, Barcelona 08193, Spain
| | - Gonzalo Guirado
- Department de Química, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Barcelona 08193, Spain
| | - Xavier Muñoz-Berbel
- Instituto de Microelectrónica de Barcelona (IMB-CNM, CSIC), Universitat Autónoma de Barcelona, Cerdanyola del vallès, Barcelona 08193, Spain
| | - Aman Russom
- Division of Nanobiotechnology, Department of Protein Science, Science for Life Laboratory, KTH Royal Institute of Technology, Stockholm 17165, Sweden
- AIMES - Center for the Advancement of Integrated Medical and Engineering Sciences at Karolinska Institutet and KTH Royal Institute of Technology, Stockholm 17165, Sweden
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Abstract
Volatolomics allows us to elucidate cell metabolic processes in real time. In particular, a volatile organic compound (VOC) excreted from our bodies may be specific for a certain disease, such that measuring this VOC may afford a simple, fast, accessible and safe diagnostic approach. Yet, finding the optimal endogenous volatile marker specific to a pathology is non-trivial because of interlaboratory disparities in sample preparation and analysis, as well as high interindividual variability. These limit the sensitivity and specificity of volatolomics and its applications in biological and clinical fields but have motivated the development of induced volatolomics. This approach aims to overcome issues by measuring VOCs that result not from an endogenous metabolite but, rather, from the pathogen-specific or metabolic-specific enzymatic metabolism of an exogenous biological or chemical probe. In this Review, we introduce volatile-compound-based probes and discuss how they can be exploited to detect and discriminate pathogenic infections, to assess organ function and to diagnose and monitor cancers in real time. We focus on cases in which labelled probes have informed us about metabolic processes and consider the potential and drawbacks of the probes for clinical trials. Beyond diagnostics, VOC-based probes may also be effective tools to explore biological processes more generally.
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Li B, Li X, Dong Y, Wang B, Li D, Shi Y, Wu Y. Colorimetric Sensor Array Based on Gold Nanoparticles with Diverse Surface Charges for Microorganisms Identification. Anal Chem 2017; 89:10639-10643. [DOI: 10.1021/acs.analchem.7b02594] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Bingyu Li
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Xizhe Li
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Yanhua Dong
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Bing Wang
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Dongyang Li
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Youmin Shi
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
| | - Yayan Wu
- Key Laboratory of Biomedical Information
Engineering of Ministry of Education, School of Life Science and Technology, Xi’an Jiaotong University, 710049, Xi’an, PR China
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Lim SH, Mix S, Anikst V, Budvytiene I, Eiden M, Churi Y, Queralto N, Berliner A, Martino RA, Rhodes PA, Banaei N. Bacterial culture detection and identification in blood agar plates with an optoelectronic nose. Analyst 2016; 141:918-25. [PMID: 26753182 DOI: 10.1039/c5an01990g] [Citation(s) in RCA: 33] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Clinical microbiology automation is currently limited by the lack of an in-plate culture identification system. Using an inexpensive, printed, disposable colorimetric sensor array (CSA) responsive to the volatiles emitted into plate headspace by microorganisms during growth, we report here that not only the presence but the species of bacteria growing in plate was identified before colonies are visible. In 1894 trials, 15 pathogenic bacterial species cultured on blood agar were identified with 91.0% sensitivity and 99.4% specificity within 3 hours of detection. The results indicate CSAs integrated into Petri dish lids present a novel paradigm to speciate microorganisms, well-suited to integration into automated plate handling systems.
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Affiliation(s)
- Sung H Lim
- Specific Technologies, Mountain View, California 94043, USA.
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Wen Y, Wang L, Xu L, Li L, Ren S, Cao C, Jia N, Aldalbahi A, Song S, Shi J, Xia J, Liu G, Zuo X. Electrochemical detection of PCR amplicons of Escherichia coli genome based on DNA nanostructural probes and polyHRP enzyme. Analyst 2016; 141:5304-10. [DOI: 10.1039/c6an01435f] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Fast, portable and sensitive analysis ofE. coliis becoming an important challenge in many critical fields (e.g., food safety, environmental monitoring and clinical diagnosis).
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Tait E, Stanforth SP, Reed S, Perry JD, Dean JR. Analysis of pathogenic bacteria using exogenous volatile organic compound metabolites and optical sensor detection. RSC Adv 2015. [DOI: 10.1039/c4ra13914c] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
A novel, low-cost and simple method for the detection of pathogenic bacteria is proposed.
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Affiliation(s)
- Emma Tait
- Department of Applied Sciences
- Northumbria University
- Newcastle upon Tyne
- UK
| | | | - Stephen Reed
- Department of Applied Sciences
- Northumbria University
- Newcastle upon Tyne
- UK
| | - John D. Perry
- Department of Microbiology
- Freeman Hospital
- Newcastle upon Tyne
- UK
| | - John R. Dean
- Department of Applied Sciences
- Northumbria University
- Newcastle upon Tyne
- UK
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Bacteria detection based on the evolution of enzyme-generated volatile organic compounds: Determination of Listeria monocytogenes in milk samples. Anal Chim Acta 2014; 848:80-87. [DOI: 10.1016/j.aca.2014.07.029] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 07/18/2014] [Accepted: 07/22/2014] [Indexed: 12/27/2022]
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