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Ayres LB, Pimentel GJC, Costa JNY, Piazzetta MHO, Gobbi AL, Shimizu FM, Garcia CD, Lima RS. Ultradense Array of On-Chip Sensors for High-Throughput Electrochemical Analyses. ACS Sens 2024. [PMID: 38997236 DOI: 10.1021/acssensors.4c01026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/14/2024]
Abstract
High-throughput sensors are valuable tools for enabling massive, fast, and accurate diagnostics. To yield this type of electrochemical device in a simple and low-cost way, high-density arrays of vertical gold thin-film microelectrode-based sensors are demonstrated, leading to the rapid and serial interrogation of dozens of samples (10 μL droplets). Based on 16 working ultramicroelectrodes (UMEs) and 3 quasi-reference electrodes (QREs), a total of 48 sensors were engineered in a 3D crossbar arrangement that devised a low number of conductive lines. By exploiting this design, a compact chip (75 × 35 mm) can enable performing 16 sequential analyses without intersensor interferences by dropping one sample per UME finger. In practice, the electrical connection to the sensors was achieved by simply switching the contact among WE adjacent fingers. Importantly, a short analysis time was ensured by interrogating the UMEs with chronoamperometry or square wave voltammetry using a low-cost and hand-held one-channel potentiostat. As a proof of concept, the detection of Staphylococcus aureus in 15 samples was performed within 14 min (20 min incubation and 225 s reading). Additionally, the implementation of peptide-tethered immunosensors in these chips allowed the screening of COVID-19 from patient serum samples with 100% accuracy. Our experiments also revealed that dispensing additional droplets on the array (in certain patterns) results in the overestimation of the faradaic current signals, a phenomenon referred to as crosstalk. To address this interference, a set of analyses was conducted to design a corrective strategy that boosted the testing capacity by allowing using all on-chip sensors to address subsequent analyses (i.e., 48 samples simultaneously dispensed on the chip). This strategy only required grounding the unused rows of QRE and can be broadly adopted to develop high-throughput UME-based sensors. In practice, we could analyze 48 droplets (with [Fe(CN)6]4-) within ∼8 min using amperometry.
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Affiliation(s)
- Lucas B Ayres
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States
| | - Gabriel J C Pimentel
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
- Institute of Chemistry, University of Campinas, Campinas, São Paulo 13083-970, Brazil
| | - Juliana N Y Costa
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
- Center for Natural and Human Sciences, Federal University of ABC, Santo André, São Paulo 09210-580, Brazil
| | - Maria H O Piazzetta
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
| | - Angelo L Gobbi
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
| | - Flávio M Shimizu
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
| | - Carlos D Garcia
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States
| | - Renato S Lima
- Department of Chemistry, Clemson University, Clemson, South Carolina 29634, United States
- Brazilian Center for Research in Energy and Materials, Brazilian Nanotechnology National Laboratory, Campinas, São Paulo 13083-970, Brazil
- Institute of Chemistry, University of Campinas, Campinas, São Paulo 13083-970, Brazil
- Center for Natural and Human Sciences, Federal University of ABC, Santo André, São Paulo 09210-580, Brazil
- São Carlos Institute of Chemistry, University of São Paulo, São Carlos, São Paulo 13565-590, Brazil
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2
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Buppasirakul K, Suginta W, Schulte A. Rapid and directly interpretable antimicrobial susceptibility profiling by continuous microvolume-electroanalysis of ferricyanide-mediated bacterial respiration. Chem Commun (Camb) 2024; 60:308-311. [PMID: 38059564 DOI: 10.1039/d3cc04683d] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/08/2023]
Abstract
We present a novel method for the electroanalysis of potassium ferricyanide-mediated bacterial electron transport, to rapidly assess viability and construct interpretable antimicrobial susceptibility profiles. Electrochemical minimum inhibitory concentrations (ecMICs) became determinable with a high correlation to the results from conventional assays.
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Affiliation(s)
- Krittamate Buppasirakul
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Wang Chan Valley, Rayong 21210, Thailand.
| | - Wipa Suginta
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Wang Chan Valley, Rayong 21210, Thailand.
| | - Albert Schulte
- School of Biomolecular Science and Engineering, Vidyasirimedhi Institute of Science and Technology (VISTEC), Wang Chan Valley, Rayong 21210, Thailand.
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3
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Fande S, Amreen K, Sriram D, Mateev V, Goel S. Electromicrofluidic Device for Interference-Free Rapid Antibiotic Susceptibility Testing of Escherichia coli from Real Samples. SENSORS (BASEL, SWITZERLAND) 2023; 23:9314. [PMID: 38067687 PMCID: PMC10708865 DOI: 10.3390/s23239314] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Revised: 10/26/2023] [Accepted: 11/10/2023] [Indexed: 12/18/2023]
Abstract
Antimicrobial resistance (AMR) is a global health threat, progressively emerging as a significant public health issue. Therefore, an antibiotic susceptibility study is a powerful method for combating antimicrobial resistance. Antibiotic susceptibility study collectively helps in evaluating both genotypic and phenotypic resistance. However, current traditional antibiotic susceptibility study methods are time-consuming, laborious, and expensive. Hence, there is a pressing need to develop simple, rapid, miniature, and affordable devices to prevent antimicrobial resistance. Herein, a miniaturized, user-friendly device for the electrochemical antibiotic susceptibility study of Escherichia coli (E. coli) has been developed. In contrast to the traditional methods, the designed device has the rapid sensing ability to screen different antibiotics simultaneously, reducing the overall time of diagnosis. Screen-printed electrodes with integrated miniaturized reservoirs with a thermostat were developed. The designed device proffers simultaneous incubator-free culturing and detects antibiotic susceptibility within 6 h, seven times faster than the conventional method. Four antibiotics, namely amoxicillin-clavulanic acid, ciprofloxacin, ofloxacin, and cefpodoxime, were tested against E. coli. Tap water and synthetic urine samples were also tested for antibiotic susceptibility. The results show that the device could be used for antibiotic resistance susceptibility testing against E. coli with four antibiotics within six hours. The developed rapid, low-cost, user-friendly device will aid in antibiotic screening applications, enable the patient to receive the appropriate treatment, and help to lower the risk of anti-microbial resistance.
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Affiliation(s)
- Sonal Fande
- MEMS, Microfluidic and Nanoelectronics Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Hyderabad 50078, India
- Department of Pharmacy, Birla Institute of Technology and Science, Hyderabad 500078, India
| | - Khairunnisa Amreen
- MEMS, Microfluidic and Nanoelectronics Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Hyderabad 50078, India
- Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Hyderabad 500078, India
| | - D. Sriram
- Department of Pharmacy, Birla Institute of Technology and Science, Hyderabad 500078, India
| | - Valentin Mateev
- Department of Electrical Apparatus, Technical University of Sofia, 1156 Sofia, Bulgaria
| | - Sanket Goel
- MEMS, Microfluidic and Nanoelectronics Lab, Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Hyderabad 50078, India
- Department of Electrical and Electronics Engineering, Birla Institute of Technology and Science, Hyderabad 500078, India
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4
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Jiang X, Borkum T, Shprits S, Boen J, Arshavsky-Graham S, Rofman B, Strauss M, Colodner R, Sulam J, Halachmi S, Leonard H, Segal E. Accurate Prediction of Antimicrobial Susceptibility for Point-of-Care Testing of Urine in Less than 90 Minutes via iPRISM Cassettes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303285. [PMID: 37587020 PMCID: PMC10625094 DOI: 10.1002/advs.202303285] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Revised: 08/04/2023] [Indexed: 08/18/2023]
Abstract
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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Affiliation(s)
- Xin Jiang
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Talya Borkum
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Sagi Shprits
- Department of Urology, Bnai Zion Medical Center, Haifa, 3104800, Israel
| | - Joseph Boen
- Department of Biomedical Engineering, Johns Hopkins University, Clark 320B, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Sofia Arshavsky-Graham
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Baruch Rofman
- Department of Mechanical Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Merav Strauss
- Laboratory of Clinical Microbiology, Emek Medical Center, Afula, 1834111, Israel
| | - Raul Colodner
- Laboratory of Clinical Microbiology, Emek Medical Center, Afula, 1834111, Israel
| | - Jeremias Sulam
- Department of Biomedical Engineering, Johns Hopkins University, Clark 320B, 3400 N Charles St, Baltimore, MD, 21218, USA
| | - Sarel Halachmi
- Department of Urology, Bnai Zion Medical Center, Haifa, 3104800, Israel
- The Rappaport Faculty of Medicine, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Heidi Leonard
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
| | - Ester Segal
- Department of Biotechnology and Food Engineering, Technion - Israel Institute of Technology, Haifa, 3200003, Israel
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Liao X, Deng R, Warriner K, Ding T. Antibiotic resistance mechanism and diagnosis of common foodborne pathogens based on genotypic and phenotypic biomarkers. Compr Rev Food Sci Food Saf 2023; 22:3212-3253. [PMID: 37222539 DOI: 10.1111/1541-4337.13181] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Revised: 04/22/2023] [Accepted: 05/06/2023] [Indexed: 05/25/2023]
Abstract
The emergence of antibiotic-resistant bacteria due to the overuse or inappropriate use of antibiotics has become a significant public health concern. The agri-food chain, which serves as a vital link between the environment, food, and human, contributes to the large-scale dissemination of antibiotic resistance, posing a concern to both food safety and human health. Identification and evaluation of antibiotic resistance of foodborne bacteria is a crucial priority to avoid antibiotic abuse and ensure food safety. However, the conventional approach for detecting antibiotic resistance heavily relies on culture-based methods, which are laborious and time-consuming. Therefore, there is an urgent need to develop accurate and rapid tools for diagnosing antibiotic resistance in foodborne pathogens. This review aims to provide an overview of the mechanisms of antibiotic resistance at both phenotypic and genetic levels, with a focus on identifying potential biomarkers for diagnosing antibiotic resistance in foodborne pathogens. Furthermore, an overview of advances in the strategies based on the potential biomarkers (antibiotic resistance genes, antibiotic resistance-associated mutations, antibiotic resistance phenotypes) for antibiotic resistance analysis of foodborne pathogens is systematically exhibited. This work aims to provide guidance for the advancement of efficient and accurate diagnostic techniques for antibiotic resistance analysis in the food industry.
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Affiliation(s)
- Xinyu Liao
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang, China
- School of Mechanical and Energy Engineering, NingboTech University, Ningbo, Zhejiang, China
- Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, Zhejiang, China
| | - Ruijie Deng
- College of Biomass Science and Engineering, Healthy Food Evaluation Research Center, Sichuan University, Chengdu, Sichuan, China
| | - Keith Warriner
- Department of Food Science, University of Guelph, Guelph, Ontario, Canada
| | - Tian Ding
- Department of Food Science and Nutrition, Zhejiang University, Hangzhou, Zhejiang, China
- Future Food Laboratory, Innovation Center of Yangtze River Delta, Zhejiang University, Jiashan, Zhejiang, China
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6
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Madhu S, Ramasamy S, Choi J. Recent Developments in Electrochemical Sensors for the Detection of Antibiotic-Resistant Bacteria. Pharmaceuticals (Basel) 2022; 15:ph15121488. [PMID: 36558939 PMCID: PMC9786047 DOI: 10.3390/ph15121488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 12/05/2022] Open
Abstract
The development of efficient point-of-care (POC) diagnostic tools for detecting infectious diseases caused by destructive pathogens plays an important role in clinical and environmental monitoring. Nevertheless, evolving complex and inconsistent antibiotic-resistant species mire their drug efficacy. In this regard, substantial effort has been expended to develop electrochemical sensors, which have gained significant interest for advancing POC testing with rapid and accurate detection of resistant bacteria at a low cost compared to conventional phenotype methods. This review concentrates on the recent developments in electrochemical sensing techniques that have been applied to assess the diverse latent antibiotic resistances of pathogenic bacteria. It deliberates the prominence of biorecognition probes and tailor-made nanomaterials used in electrochemical antibiotic susceptibility testing (AST). In addition, the bimodal functional efficacy of nanomaterials that can serve as potential transducer electrodes and the antimicrobial agent was investigated to meet the current requirements in designing sensor module development. In the final section, we discuss the challenges with contemporary AST sensor techniques and extend the key ideas to meet the demands of the next POC electrochemical sensors and antibiotic design modules in the healthcare sector.
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7
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Toyos-Rodríguez C, Valero-Calvo D, de la Escosura-Muñiz A. Advances in the screening of antimicrobial compounds using electrochemical biosensors: is there room for nanomaterials? Anal Bioanal Chem 2022; 415:1107-1121. [PMID: 36445455 PMCID: PMC9707421 DOI: 10.1007/s00216-022-04449-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Revised: 11/11/2022] [Accepted: 11/17/2022] [Indexed: 11/30/2022]
Abstract
The abusive use of antimicrobial compounds and the associated appearance of antimicrobial resistant strains are a major threat to human health. An improved antimicrobial administration involves a faster diagnosis and detection of resistances. Antimicrobial susceptibility testing (AST) are the reference techniques for this purpose, relying mainly in the use of culture techniques. The long time required for analysis and the lack of reproducibility of these techniques have fostered the development of high-throughput AST methods, including electrochemical biosensors. In this review, recent electrochemical methods used in AST have been revised, with particular attention on those used for the evaluation of new drug candidates. The role of nanomaterials in these biosensing platforms has also been questioned, inferring that it is of minor importance compared to other applications.
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Affiliation(s)
- Celia Toyos-Rodríguez
- grid.10863.3c0000 0001 2164 6351NanoBioAnalysis Group, Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain ,grid.10863.3c0000 0001 2164 6351Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain
| | - David Valero-Calvo
- grid.10863.3c0000 0001 2164 6351NanoBioAnalysis Group, Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain ,grid.10863.3c0000 0001 2164 6351Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain
| | - Alfredo de la Escosura-Muñiz
- grid.10863.3c0000 0001 2164 6351NanoBioAnalysis Group, Department of Physical and Analytical Chemistry, University of Oviedo, Julián Clavería 8, 33006 Oviedo, Spain ,grid.10863.3c0000 0001 2164 6351Biotechnology Institute of Asturias, University of Oviedo, Santiago Gascon Building, 33006 Oviedo, Spain
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8
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de Brito Ayres L, Brooks J, Whitehead K, Garcia CD. Rapid Detection of Staphylococcus aureus Using Paper-Derived Electrochemical Biosensors. Anal Chem 2022; 94:16847-16854. [DOI: 10.1021/acs.analchem.2c03970] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Affiliation(s)
- Lucas de Brito Ayres
- Department of Chemistry, Clemson University, Clemson 29634, South Carolina, United States
| | - Jordan Brooks
- Department of Chemistry, Clemson University, Clemson 29634, South Carolina, United States
| | - Kristi Whitehead
- Department of Biological Sciences, Clemson University, Clemson 29634, South Carolina, United States
| | - Carlos D. Garcia
- Department of Chemistry, Clemson University, Clemson 29634, South Carolina, United States
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9
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Zhang W, Sun H, He S, Chen X, Yao L, Zhou L, Wang Y, Wang P, Hong W. Compound Raman microscopy for rapid diagnosis and antimicrobial susceptibility testing of pathogenic bacteria in urine. Front Microbiol 2022; 13:874966. [PMID: 36090077 PMCID: PMC9449455 DOI: 10.3389/fmicb.2022.874966] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Accepted: 08/05/2022] [Indexed: 11/23/2022] Open
Abstract
Rapid identification and antimicrobial susceptibility testing (AST) of bacteria are key interventions to curb the spread and emergence of antimicrobial resistance. The current gold standard identification and AST methods provide comprehensive diagnostic information but often take 3 to 5 days. Here, a compound Raman microscopy (CRM), which integrates Raman spectroscopy and stimulated Raman scattering microscopy in one system, is presented and demonstrated for rapid identification and AST of pathogens in urine. We generated an extensive bacterial Raman spectral dataset and applied deep learning to identify common clinical bacterial pathogens. In addition, we employed stimulated Raman scattering microscopy to quantify bacterial metabolic activity to determine their antimicrobial susceptibility. For proof-of-concept, we demonstrated an integrated assay to diagnose urinary tract infection pathogens, S. aureus and E. coli. Notably, the CRM system has the unique ability to provide Gram-staining classification and AST results within ~3 h directly from urine samples and shows great potential for clinical applications.
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Affiliation(s)
- Weifeng Zhang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Hongyi Sun
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Shipei He
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
| | - Xun Chen
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- School of Engineering Medicine, Beihang University, Beijing, China
| | - Lin Yao
- Department of Urology, Peking University First Hospital, Beijing, China
- Lin Yao,
| | - Liqun Zhou
- Department of Urology, Peking University First Hospital, Beijing, China
| | - Yi Wang
- Department of Clinical Laboratory, China Rehabilitation Research Center, Capital Medical University, Beijing, China
| | - Pu Wang
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- *Correspondence: Pu Wang,
| | - Weili Hong
- Institute of Medical Photonics, Beijing Advanced Innovation Center for Biomedical Engineering, School of Biological Science and Medical Engineering, Beihang University, Beijing, China
- Weili Hong,
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10
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Feng L, Wu H, Yue H, Chu Y, Zhang J, Huang X, Pang S, Zhang L, Li Y, Wang W, Zou B, Zhou G. Multiplexed and Rapid AST for Escherichia coli Infection by Simultaneously Pyrosequencing Multiple Barcodes Each Specific to an Antibiotic Exposed to a Sample. Anal Chem 2022; 94:8633-8641. [PMID: 35675678 DOI: 10.1021/acs.analchem.2c00312] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Antimicrobial susceptibility testing (AST) is an effective way to guide antibiotic selection. However, conventional culture-based phenotypic AST is time-consuming. The key point to shorten the test is to quantify the small change in the bacterial number after the antibiotic exposure. To achieve rapid AST, we proposed a combination of multiplexed PCR with barcoded pyrosequencing to significantly shorten the time for antibiotic exposure. First, bacteria exposed to each antibiotic were labeled with a unique barcode. Then, the pool of the barcoded products was amplified by PCR with a universal primer pair. Finally, barcodes in the amplicons were individually and quantitatively decoded by pyrosequencing. As pyrosequencing is able to discriminate as low as 5% variation in target concentrations, as short as 7.5 min was enough for cultivation to detect the susceptibility of Escherichia coli to an antibiotic. The barcodes enable more than six kinds of drugs or six kinds of concentrations of a drug to be tested at a time. The susceptibility of 6 antibiotics to 43 E. coli-positive samples from 482 clinical urine samples showed a consistency of 99.3% for drug-resistant samples and of 95.7% for drug-sensitive samples in comparison with the conventional method. In addition, the minimum inhibitory concentration (MIC) of 29 E. coli samples was successfully measured. The proposed AST is dye free (pyrosequencing), multiplexed (six antibiotics), fast (a half-working day for reporting the results), and able to detect the MIC, thus having a great potential for clinical use in quick antibiotic selection.
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Affiliation(s)
- Liying Feng
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Haiping Wu
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China.,School of Pharmaceutical Science, Southern Medical University, Guangzhou 510515, China
| | - Huijie Yue
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Yanan Chu
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Jieyu Zhang
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Xiaohui Huang
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Shuyun Pang
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Likun Zhang
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Yujiao Li
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China
| | - Weiping Wang
- Department of Clinical Laboratory, Jinling Hospital, Medical School of Nanjing University, Nanjing 210002, China
| | - Bingjie Zou
- Key Laboratory of Drug Quality Control and Pharmacovigilance of Ministry of Education, School of Pharmacy, China Pharmaceutical University, Nanjing 210009, China
| | - Guohua Zhou
- Department of Clinical Pharmacy, Jinling Hospital, State Key Laboratory of Analytical Chemistry for Life Science & Jiangsu Key Laboratory of Molecular Medicine, Medical School of Nanjing University, Nanjing 210002, China.,School of Pharmaceutical Science, Southern Medical University, Guangzhou 510515, China
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11
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Electrochemical Sensors for Antibiotic Susceptibility Testing: Strategies and Applications. CHEMOSENSORS 2022. [DOI: 10.3390/chemosensors10020053] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Increasing awareness of the impacts of infectious diseases has driven the development of advanced techniques for detecting pathogens in clinical and environmental settings. However, this process is hindered by the complexity and variability inherent in antibiotic-resistant species. A great deal of effort has been put into the development of antibiotic-resistance/susceptibility testing (AST) sensors and systems to administer proper drugs for patient-tailored therapy. Electrochemical sensors have garnered increasing attention due to their powerful potential to allow rapid, sensitive, and real-time monitoring, alongside the low-cost production, feasibility of minimization, and easy integration with other techniques. This review focuses on the recent advances in electrochemical sensing strategies that have been used to determine the level of antibiotic resistance/susceptibility of pathogenic bacteria. The recent examples of the current electrochemical AST sensors discussed here are classified into four categories according to what is detected and quantitated: the presence of antibiotic-resistant genes, changes in impedance caused by cell lysis, current response caused by changes in cellular membrane properties, and changes in the redox state of redox molecules. It also discusses potential strategies for the development of electrochemical AST sensors, with the goal of broadening their practical applications across various scientific and technological fields.
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12
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Fitzpatrick KJ, Rohlf HJ, Sutherland TD, Koo KM, Beckett S, Okelo WO, Keyburn AL, Morgan BS, Drigo B, Trau M, Donner E, Djordjevic SP, De Barro PJ. Progressing Antimicrobial Resistance Sensing Technologies across Human, Animal, and Environmental Health Domains. ACS Sens 2021; 6:4283-4296. [PMID: 34874700 DOI: 10.1021/acssensors.1c01973] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The spread of antimicrobial resistance (AMR) is a rapidly growing threat to humankind on both regional and global scales. As countries worldwide prepare to embrace a One Health approach to AMR management, which is one that recognizes the interconnectivity between human, animal, and environmental health, increasing attention is being paid to identifying and monitoring key contributing factors and critical control points. Presently, AMR sensing technologies have significantly progressed phenotypic antimicrobial susceptibility testing (AST) and genotypic antimicrobial resistance gene (ARG) detection in human healthcare. For effective AMR management, an evolution of innovative sensing technologies is needed for tackling the unique challenges of interconnected AMR across various and different health domains. This review comprehensively discusses the modern state-of-play for innovative commercial and emerging AMR sensing technologies, including sequencing, microfluidic, and miniaturized point-of-need platforms. With a unique view toward the future of One Health, we also provide our perspectives and outlook on the constantly changing landscape of AMR sensing technologies beyond the human health domain.
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Affiliation(s)
- Kira J. Fitzpatrick
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
| | - Hayden J. Rohlf
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
| | - Tara D. Sutherland
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Kevin M. Koo
- XING Applied Research & Assay Development (XARAD) Division, XING Technologies Pty. Ltd., Brisbane, Queensland 4073, Australia
- The University of Queensland Centre for Clinical Research (UQCCR), Brisbane, Queensland 4029, Australia
| | - Sam Beckett
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Walter O. Okelo
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Anthony L. Keyburn
- Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australian Centre for Disease Preparedness (ACDP), Geelong, Victoria 3220, Australia
| | - Branwen S. Morgan
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Black Mountain, Canberra, Australian Capital Territory 2601, Australia
| | - Barbara Drigo
- Future Industries Institute, University of South Australia, Adelaide, South Australia 5095, Australia
| | - Matt Trau
- Centre for Personalised Nanomedicine, Australian Institute for Bioengineering and Nanotechnology, The University of Queensland, Brisbane, Queensland 4072, Australia
- School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Adelaide, South Australia 5095, Australia
| | - Steven P. Djordjevic
- Ithree Institute, University of Technology Sydney, Sydney, New South Wales 2007, Australia
| | - Paul J. De Barro
- Commonwealth Scientific and Industrial Research Organisation (CSIRO) Health & Biosecurity, EcoSciences Precinct, Brisbane, Queensland 4001, Australia
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13
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Olaifa K, Nikodinovic-Runic J, Glišić B, Boschetto F, Marin E, Segreto F, Marsili E. Electroanalysis of Candida albicans biofilms: A suitable real-time tool for antifungal testing. Electrochim Acta 2021. [DOI: 10.1016/j.electacta.2021.138757] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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14
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Rapid antimicrobial susceptibility testing by stimulated Raman scattering metabolic imaging and morphological deformation of bacteria. Anal Chim Acta 2021; 1168:338622. [PMID: 34051990 DOI: 10.1016/j.aca.2021.338622] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2021] [Revised: 04/16/2021] [Accepted: 05/03/2021] [Indexed: 12/19/2022]
Abstract
Methods for rapid antimicrobial susceptibility testing (AST) are urgently needed to address the emergence and spread of antimicrobial resistance. Here, we report a new method based on stimulated Raman scattering (SRS) microscopy, which measures both the metabolic activity and the morphological deformation of bacteria to determine the antimicrobial susceptibility of β-lactam antibiotics rapidly. In this approach, we quantify single bacteria's metabolic activity by the carbon-deuterium (C-D) bond concentrations in bacteria after D2O incubation. In the meantime, bacterial morphological deformation caused by β-lactam antibiotics is also measured. With these two quantifiable markers, we develop an evaluation method to perform AST of cefotaxime on 103 E. coli strains. Our method achieved a 93.2% categorical agreement and a 93.2% essential agreement with the standard reference method.
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15
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Azizi M, Nguyen AV, Dogan B, Zhang S, Simpson KW, Abbaspourrad A. Antimicrobial Susceptibility Testing in a Rapid Single Test via an Egg-like Multivolume Microchamber-Based Microfluidic Platform. ACS APPLIED MATERIALS & INTERFACES 2021; 13:19581-19592. [PMID: 33884865 DOI: 10.1021/acsami.0c23096] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Fast determination of antimicrobial agents' effectiveness (susceptibility/resistance pattern) is an essential diagnostic step for treating bacterial infections and stopping world-wide outbreaks. Here, we report an egg-like multivolume microchamber-based microfluidic (EL-MVM2) platform, which is used to produce a wide range of gradient-based antibiotic concentrations quickly (∼10 min). The EL-MVM2 platform works based upon testing a bacterial suspension in multivolume microchambers (microchamber sizes that range from a volume of 12.56 to 153.86 nL). Antibiotic molecules from a stock solution diffuse into the microchambers of various volumes at the same loading rate, leading to different concentrations among the microchambers. Therefore, we can quickly and easily produce a robust antibiotic gradient-based concentration profile. The EL-MVM2 platform's diffusion (loading) pattern was investigated for different antibiotic drugs using both computational fluid dynamics simulations and experimental approaches. With an easy-to-follow protocol for sample loading and operation, the EL-MVM2 platform was also found to be of high precision with respect to predicting the susceptibility/resistance outcome (>97%; surpassing the FDA-approval criterion for technology-based antimicrobial susceptibility testing instruments). These features indicate that the EL-MVM2 is an effective, time-saving, and precise alternative to conventional antibiotic susceptibility testing platforms currently being used in clinical diagnostics and point-of-care settings.
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Affiliation(s)
- Morteza Azizi
- Department of Food Science, College of Agricultural and Life Sciences, Cornell University, Stocking Hall, Ithaca, New York 14853, United States
| | - Ann V Nguyen
- Department of Food Science, College of Agricultural and Life Sciences, Cornell University, Stocking Hall, Ithaca, New York 14853, United States
| | - Belgin Dogan
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, 602 Tower Rd., Ithaca, New York 14853, United States
| | - Shiying Zhang
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, 602 Tower Rd., Ithaca, New York 14853, United States
| | - Kenneth W Simpson
- Department of Clinical Sciences, College of Veterinary Medicine, Cornell University, 602 Tower Rd., Ithaca, New York 14853, United States
| | - Alireza Abbaspourrad
- Department of Food Science, College of Agricultural and Life Sciences, Cornell University, Stocking Hall, Ithaca, New York 14853, United States
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16
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Wu S, Hulme JP. Recent Advances in the Detection of Antibiotic and Multi-Drug Resistant Salmonella: An Update. Int J Mol Sci 2021; 22:3499. [PMID: 33800682 PMCID: PMC8037659 DOI: 10.3390/ijms22073499] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/19/2021] [Accepted: 03/20/2021] [Indexed: 12/26/2022] Open
Abstract
Antibiotic and multi-drug resistant (MDR) Salmonella poses a significant threat to public health due to its ability to colonize animals (cold and warm-blooded) and contaminate freshwater supplies. Monitoring antibiotic resistant Salmonella is traditionally costly, involving the application of phenotypic and genotypic tests over several days. However, with the introduction of cheaper semi-automated devices in the last decade, strain detection and identification times have significantly fallen. This, in turn, has led to efficiently regulated food production systems and further reductions in food safety hazards. This review highlights current and emerging technologies used in the detection of antibiotic resistant and MDR Salmonella.
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Affiliation(s)
- Siying Wu
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong;
| | - John P. Hulme
- Department of Bionano Technology, Gachon Bionano Research Institute, Gachon University, Seongnam-si, Gyeonggi-do 461-701, Korea
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17
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Bolotsky A, Muralidharan R, Butler D, Root K, Murray W, Liu Z, Ebrahimi A. Organic redox-active crystalline layers for reagent-free electrochemical antibiotic susceptibility testing (ORACLE-AST). Biosens Bioelectron 2020; 172:112615. [PMID: 33166804 DOI: 10.1016/j.bios.2020.112615] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2020] [Revised: 08/11/2020] [Accepted: 09/13/2020] [Indexed: 12/21/2022]
Abstract
Rapid antibiotic susceptibility testing (AST) is critical in determining bacterial resistance or susceptibility to a particular antibiotic. Simple-to-use phenotype-based AST platforms can assist care-givers in timely prescription of the right antibiotic. Monitoring the change of bacterial viability by measuring electrochemical Faradaic current is a promising approach for rapid AST. However, the existing works require mixing redox-active reagents in the solution which can interfere with the antibiotics. In this paper, we developed a facile electrodeposition process for creating a redox-active crystalline layer (denoted as RZx) on pyrolytic graphite sheets (PGS), which was then utilized as the sensing layer for reagent-free electrochemical AST. To demonstrate the proof-of-principle, we tested the sensors with Escherichia coli (E. coli) K-12 treated with two antibiotics, ampicillin and kanamycin. While the sensors enable detection of bacterial metabolism mainly due to pH-sensitivity of RZx (∼ 53 mV/pH), secreted redox-active metabolites/compounds from whole cells are likely contributing to the signal as well. By monitoring the differential voltammetric signals, the sensors enable accurate prediction of the minimum inhibitory concentration (MIC) in 60 min (p < 0.03). The sensors are stable after 60 days storage in ambient conditions and enable analysis of microbial viability in complex solutions, as demonstrated in spiked milk and human whole blood.
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Affiliation(s)
- Adam Bolotsky
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA; Materials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Ritvik Muralidharan
- School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Derrick Butler
- Materials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Kayla Root
- Department of Biochemistry and Molecular Biology, The Pennsylvania State University, University Park, PA, 16802, USA
| | - William Murray
- Materials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Zhiwen Liu
- Materials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Aida Ebrahimi
- Department of Materials Science and Engineering, The Pennsylvania State University, University Park, PA, 16802, USA; Materials Research Institute, The Pennsylvania State University, University Park, PA, 16802, USA; School of Electrical Engineering and Computer Science, The Pennsylvania State University, University Park, PA, 16802, USA.
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18
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Gao Y, Ryu J, Liu L, Choi S. A simple, inexpensive, and rapid method to assess antibiotic effectiveness against exoelectrogenic bacteria. Biosens Bioelectron 2020; 168:112518. [PMID: 32862095 DOI: 10.1016/j.bios.2020.112518] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Revised: 08/07/2020] [Accepted: 08/13/2020] [Indexed: 01/05/2023]
Abstract
A sufficiently fast and simple antimicrobial susceptibility testing (AST) is urgently required to guide effective antibiotic usages and to surveil the antimicrobial resistance rate. Here, we establish a rapid, quantitative, and high-throughput phenotypic AST by measuring electrons transferred from the interiors of microbial cells to external electrodes. Because the transferred electrons are based on microbial metabolic activities and are inversely proportional to the concentration of potential antibiotics, the changes in electrical outputs can be readily used as a transducing signal to efficiently monitor bacterial growth and antibiotic susceptibility. The sensing is performed by directly measuring the total energy, or all the accumulated microbial electricity, generated by microbial fuel cells (MFCs) arranged in a large-capacity disposable, paper-based testbed. A common Gram-negative pathogenic bacterium Pseudomonas aeruginosa wild-type PAO1 and first-line antibiotic gentamicin (GEN) are used in our experiments. The minimum inhibitory concentration (MIC) values generated from our technique are validated by the gold standard broth microdilution (BMD). Our new approach provides quantitative, actionable MIC results within just 5 h because it measures electricity produced by bacterial metabolism instead of the days needed for growth-observation methods. Moreover, as the equipment needed is simple, common, and inexpensive, our test has immense potential to be adopted in the field or resource-limited hospitals and labs to provide insightful assessments for research and clinical practices.
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Affiliation(s)
- Yang Gao
- Bioelectronics & Microsystems Laboratory, Department of Electrical & Computer Engineering, State University of New York at Binghamton, 4400, Vestal Pkwy East, Binghamton, NY, USA
| | - Jihyun Ryu
- Bioelectronics & Microsystems Laboratory, Department of Electrical & Computer Engineering, State University of New York at Binghamton, 4400, Vestal Pkwy East, Binghamton, NY, USA
| | - Lin Liu
- Bioelectronics & Microsystems Laboratory, Department of Electrical & Computer Engineering, State University of New York at Binghamton, 4400, Vestal Pkwy East, Binghamton, NY, USA
| | - Seokheun Choi
- Bioelectronics & Microsystems Laboratory, Department of Electrical & Computer Engineering, State University of New York at Binghamton, 4400, Vestal Pkwy East, Binghamton, NY, USA.
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