Multiparameter antibiotic resistance detection based on hydrodynamic trapping of individual <i>E. coli</i>

Pitruzzello, Giampaolo; Thorpe, Stephen; Johnson, Steven; Evans, Adrian; Gadêlha, Hermes; Krauss, Thomas F.

doi:10.1039/c8lc01397g

Cited by 34 publications

(36 citation statements)

References 50 publications

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“…This observation is in agreement with the study of fluctuations conducted on other platforms, such as hydrodynamic trapping of individual bacteria or the electrical fluctuations induced by a few tens of bacteria in a microfluidic channel [25,119]. Similarly, monitoring the nanomotion of bacteria tethered to AFM cantilevers produced compatible results in terms of detection time [24,120].…”

Section: Nanostructure-enhanced Detectionsupporting

confidence: 88%

“…Importantly, we note that the advantage of using some of these indicators alternative to growth is also supported by other findings which do not necessarily use photonics, such as microfluidic techniques [25,119,133,134], AFM cantilever deflection [24,120,135] or electrochemical platforms [136][137][138]. For example, bacterial metabolism drives ionexchange across the membrane, so we see the measurement of electrical impedance at the single-cell level as a very promising method that could be added to the toolkit [90,136].…”

Section: Discussionsupporting

confidence: 61%

“…In addition, such a localized interaction makes nanophotonic structures able to probe different bacterial properties. For example, different bacterial strains have different optical density (OD) of the cell wall, therefore enabling identification [21,22]; the OD of the membrane may change as a result of an antibiotic challenge which manifests itself as a change in refractive index [23]; the motion of bacteria is an indicator for their metabolic activity and is manifested as readout noise [24,25]; the morphology of the cell may be affected by antibiotics and will impact on its light scattering properties [26]. In any of these cases, the increased sensitivity offered by nanophotonic structures can allow for individual bacteria to be detected and analysed.…”

Section: The Role and Advantages Of Photonic In Bacterial Detection Amentioning

confidence: 99%

“…The idea is to monitor changes in morphology and motility optically, as previously mentioned, together with changes in impedance as the trapped bacterium is challenged by various antibiotics (Figure 4(d)). We expect that such a multiparametric approach will provide a more accurate and potentially faster susceptibility analysis [25], while placing multiple such nanotweezers into an array allows probing multiple bacteria in parallel and can therefore also provide information on population heterogeneity.…”

Section: (B)mentioning

confidence: 99%

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Nanophotonics for bacterial detection and antimicrobial susceptibility testing

2020

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Photonic biosensors are a major topic of research that continues to make exciting advances. Technology has now improved sufficiently for photonics to enter the realm of microbiology and to allow for the detection of individual bacteria. Here, we discuss the different nanophotonic modalities used in this context and highlight the opportunities they offer for studying bacteria. We critically review examples from the recent literature, starting with an overview of photonic devices for the detection of bacteria, followed by a specific analysis of photonic antimicrobial susceptibility tests. We show that the intrinsic advantage of matching the optical probed volume to that of a single, or a few, bacterial cell, affords improved sensitivity while providing additional insight into single-cell properties. We illustrate our argument by comparing traditional culture-based methods, which we term macroscopic, to microscopic free-space optics and nanoscopic guided-wave optics techniques. Particular attention is devoted to this last class by discussing structures such as photonic crystal cavities, plasmonic nanostructures and interferometric configurations. These structures and associated measurement modalities are assessed in terms of limit of detection, response time and ease of implementation. Existing challenges and issues yet to be addressed will be examined and critically discussed.

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Section: Nanostructure-enhanced Detectionsupporting

confidence: 88%

Section: Discussionsupporting

confidence: 61%

Section: The Role and Advantages Of Photonic In Bacterial Detection Amentioning

confidence: 99%

Section: (B)mentioning

confidence: 99%

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Nanophotonics for bacterial detection and antimicrobial susceptibility testing

2020

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“…[7,8] Recent developments in this field have exploited single cell methods for faster and more sensitive detection of antibiotic resistance. This has been achieved by miniaturizing the volume observed using microfluidics, [9][10][11] measuring mass or mechanical changes, [11][12][13] or by exploiting machine learning techniques for video tracking analysis of single cells. [14][15][16] Despite advances in the detection limit, and speed of testing, these are mostly complex set-ups, which remain far from point of care.…”

Section: Mainmentioning

confidence: 99%

Cantilever Sensors for Rapid Optical Antimicrobial Sensitivity Testing

Bennett

Pyne

McKendry

2019

Preprint

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Growing antimicrobial resistance (AMR) is a serious global threat to human health. Current methods to detect resistance include phenotypic antibiotic sensitivity testing (AST) which measures bacterial growth and is therefore hampered by slow time to result (~12-24 hours).Therefore new rapid phenotypic methods for AST are urgently needed. Nanomechanical cantilever sensors have recently shown promise for rapid AST but challenges of bacterial immobilization can lead to variable results. Herein a novel cantilever-based method is described for detecting phenotypic antibiotic resistance within ~45 minutes, capable of detecting single bacteria. This method does not require complex, variable bacterial immobilization, and instead uses the laser and detector system to detect single bacterial cells in media as they pass through the laser focus. This provides a simple read out of bacterial antibiotic resistance by detecting growth (resistant) or death (sensitive), much faster than

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Accurate Prediction of Antimicrobial Susceptibility for Point‐of‐Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes

Jiang,

Borkum,

Shprits

et al. 2023

Advanced Science

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The extensive and improper use of antibiotics has led to a dramatic increase in the frequency of antibiotic resistance among human pathogens, complicating infectious disease treatments. In this work, a method for rapid antimicrobial susceptibility testing (AST) is presented using microstructured silicon diffraction gratings integrated into prototype devices, which enhance bacteria‐surface interactions and promote bacterial colonization. The silicon microstructures act also as optical sensors for monitoring bacterial growth upon exposure to antibiotics in a real‐time and label‐free manner via intensity‐based phase‐shift reflectometric interference spectroscopic measurements (iPRISM). Rapid AST using clinical isolates of Escherichia coli (E. coli) from urine is established and the assay is applied directly on unprocessed urine samples from urinary tract infection patients. When coupled with a machine learning algorithm trained on clinical samples, the iPRISM AST is able to predict the resistance or susceptibility of a new clinical sample with an Area Under the Receiver Operating Characteristic curve (AUC) of ∼ 0.85 in 1 h, and AUC > 0.9 in 90 min, when compared to state‐of‐the‐art automated AST methods used in the clinic while being an order of magnitude faster.

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Multiparameter antibiotic resistance detection based on hydrodynamic trapping of individual E. coli

Abstract: We present a single-bacteria hydrodynamic trapping platform to detect antibiotic susceptibility and resistance by simultaneously monitoring motility and morphology of individual E. coli.

Cited by 34 publications

References 50 publications

Nanophotonics for bacterial detection and antimicrobial susceptibility testing

Nanophotonics for bacterial detection and antimicrobial susceptibility testing

Cantilever Sensors for Rapid Optical Antimicrobial Sensitivity Testing

Accurate Prediction of Antimicrobial Susceptibility for Point‐of‐Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes

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