Progressing Antimicrobial Resistance Sensing Technologies across Human, Animal, and Environmental Health Domains

Fitzpatrick, Kira J.; Rohlf, Hayden J.; Sutherland, Tara D.; Koo, Kevin M.; Beckett, Sam; Okello, Walter; Keyburn, Anthony L.; Morgan, Branwen; Drigo, Barbara; Trau, Matt; Donner, Erica; Djordjevic, Steven P.; Barro, Paul J. De

doi:10.1021/acssensors.1c01973

Cited by 7 publications

(6 citation statements)

References 98 publications

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“…[3][4][5] A comprehensive examination of the assay for gold standard phenotypic and genotypic antimicrobial susceptibility testing is beyond the purview of this review. I would recommend consulting the works of Alex van Belkum et al 6 and Kira J. Fitzpatrick et al 7 , as they offer comprehensive coverage of these techniques in the literature. Typically, the onset of infection arises from the successful adaptation of a pathogen within the host cells and normal microflora through the secretion of virulence factors.…”

Section: Introductionmentioning

confidence: 99%

Revolutionizing Phenotypic Antimicrobial Susceptibility Testing: Lightning-Fast Techniques Based on Cutting-Edge Electrochemistry

R¹

2023

Preprint

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Due to the ongoing concern for the development of rapid and accurate antimicrobial susceptibility testing (AST) methods in the field of clinical microbiology, several novel AST systems have been developed to replace the traditional gold standard AST techniques, which are time-consuming and can lead to delayed susceptibility guided therapy outcomes. In this review, the focus is on the phenotypic assays based on electrochemistry that are used to determine bacterial susceptibility towards antibiotics. Electrochemical techniques have gained significant interest in the field of AST due to their rapidity, sensitivity, and specificity, although it is important to note that some of these methods may have limitations regarding the specific classes of antibiotics and bacteria that they can be applied to, which researchers can address by fine-tuning the techniques or incorporating additional controls. By offering significant advantages over traditional AST methods in terms of rapidity and accuracy, electrochemical phenotypic assays could lead to improved patient outcomes.

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Section: Introductionmentioning

confidence: 99%

Revolutionizing Phenotypic Antimicrobial Susceptibility Testing: Lightning-Fast Techniques Based on Cutting-Edge Electrochemistry

R¹

2023

Preprint

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“…With the visible development of society and the gradual improvement of living standards, people not only pursue economic growth, but also increasingly pay attention to their health, sanitation and environmental condition [ 1 ]. It is worth noting that in the survival environment people get inevitably exposed to various pathogenic microorganisms such as bacteria, molds and viruses, which can proliferate and spread rapidly under appropriate environmental conditions and in turn clearly threaten human health [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Formation of cinnamon essential oil/xanthan gum/chitosan composite microcapsules basing on Pickering emulsions

Gao

et al. 2022

Colloid Polym Sci

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Cinnamon essential oil (CNO) is a natural and renewable antibacterial agent. However, CNO is highly volatile and unstable, which limits its practical application as a long-term and wide antibacterial agent. In order to improve the CNO stability, we have microencapsulated CNO into composite microcapsules basing on Pickering emulsion stabilized by silica (SiO 2 ) nanoparticles. The CNO-loaded composite microcapsules possess the hybrid microcapsule shell including SiO 2 , xanthan gum and chitosan. Moreover, the results show that the microcapsules have spherical appearance. Microencapsulation technique effectively promotes the CNO stability, and the loaded CNO is slowly released from microcapsules. The antibacterial test indicates that the minimal inhibitory concentration of microcapsules was 2 mg mL −1 against Escherichia coli and Staphylococcus aureus , and the microcapsules can play an effective long-term antibacterial effect. Thus, Pickering emulsion templates is a convenient and effective technique to construct antibacterial essential oil-contained microcapsules, which can be used as long-term antibacterial agents.

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“…Therefore, a long-term dose–time comprehensive effect is needed [ 1 ]. Common and emerging antibiotic susceptibility testing methods were described in recent reviews [ 2 , 3 ]. To speed up the detection, many studies have developed detection methods based on flow cytometry, DNA, Raman spectroscopy, polymerase chain reaction, etc.…”

Section: Introductionmentioning

confidence: 99%

YOLO Algorithm for Long-Term Tracking and Detection of Escherichia Coli at Different Depths of Microchannels Based on Microsphere Positioning Assistance

Sun

Rao

et al. 2022

Sensors

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The effect evaluation of the antibiotic susceptibility test based on bacterial solution is of great significance for clinical diagnosis and prevention of antibiotic abuse. Applying a microfluidic chip as the detection platform, the detection method of using microscopic images to observe bacteria under antibiotic can greatly speed up the detection time, which is more suitable for high-throughput detection. However, due to the influence of the depth of the microchannel, there are multiple layers of bacteria under the focal depth of the microscope, which greatly affects the counting and recognition accuracy and increases the difficulty of relocation of the target bacteria, as well as extracting the characteristics of bacterial liquid changes under the action of antibiotics. After the focal depth of the target bacteria is determined, although the z-axis can be controlled with the help of a three-dimensional micro-operator, the equipment is difficult to operate and the long-term changes of the target bacteria cannot be tracked quickly and accurately. In this paper, the YOLOv5 algorithm is adopted to accurately identify bacteria with different focusing states of multi-layer bacteria at the z-axis with any focal depth. In the meantime, a certain amount of microspheres were mixed into bacteria to assist in locating bacteria, which was convenient for tracking the growth state of bacteria over a long period, and the recognition rates of both bacteria and microspheres were high. The recognition accuracy and counting accuracy of bacteria are 0.734 and 0.714, and the two recognition rates of microspheres are 0.910 and 0.927, respectively, which are much higher than the counting accuracy of 0.142 for bacteria and 0.781 for microspheres with the method of enhanced depth of field (EDF method). Moreover, during long-term bacterial tracking and detection, target bacteria at multiple z-axis focal depth positions can be recorded by the aid of microspheres as a positioning aid for 3D reconstruction, and the focal depth positions can be repositioned within 3–10 h. The structural similarity (SSIM) of microscopic image structure differences at the same focal depth fluctuates between 0.960 and 0.975 at different times, and the root-mean-square error (RMSE) fluctuates between 8 and 12, which indicates that the method also has good relocation accuracy. Thus, this method provides the basis for rapid, high-throughput, and long-term analysis of microscopic changes (e.g., morphology, size) of bacteria detection under the addition of antibiotics with different concentrations based on microfluidic channels in the future.

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Progressing Antimicrobial Resistance Sensing Technologies across Human, Animal, and Environmental Health Domains

Cited by 7 publications

References 98 publications

Revolutionizing Phenotypic Antimicrobial Susceptibility Testing: Lightning-Fast Techniques Based on Cutting-Edge Electrochemistry

Revolutionizing Phenotypic Antimicrobial Susceptibility Testing: Lightning-Fast Techniques Based on Cutting-Edge Electrochemistry

Formation of cinnamon essential oil/xanthan gum/chitosan composite microcapsules basing on Pickering emulsions

YOLO Algorithm for Long-Term Tracking and Detection of Escherichia Coli at Different Depths of Microchannels Based on Microsphere Positioning Assistance

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