Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria

Guntupalli, Rajesh; Sorokulova, Iryna; Olsen, Eric; Globa, Ludmila; Pustovyy, Oleg; Vodyanoy, Vitaly

doi:10.3791/50474

Cited by 12 publications

(17 citation statements)

References 32 publications

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“…QCMs have been proven to be reliable in the field of electrochemistry (Paulo Tde et al, 2013; Sun et al, 2013a, 2013b), in petroleum characterization (Pejcic et al, 2011; Ueyama et al, 2002), in environmental chemistry (Nicolini et al, 2012), material science (Pei et al, 2010) and more interestingly in the development of biosensors (Bouchet-Spinelli et al, 2013; Eom et al, 2013; Guntupalli et al, 2013; Wangchareansak et al, 2013) which are valuable for disease diagnosis. QCMs also found a great interest in the monitoring of the affinity constants defining a given substrate-ligand interaction (Lebed et al, 2006; Li et al, 2013; Mori et al, 2009; Tan et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

Concanavalin A–Polysaccharides binding affinity analysis using a quartz crystal microbalance

Coulibaly

Youan

2014

Biosensors and Bioelectronics

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There is no comparative data available on the binding constants of Concanavalin A (Con A) and glycogen and Con A-mannan using Quartz Crystal Microbalance (QCM), cost and time efficient system for biosensor analysis. It is hypothesized that a QCM can be used in its flow injection mode to monitor the binding affinity of polysaccharides to an immobilized lectin, Con A. The biosensor is prepared by immobilizing Con A on a 5 MHz gold crystal by carbodiimide crosslinking chemistry. The attachment efficiency was monitored by Fourier Transform Infrared Spectroscopy. Equilibrium association and dissociation constants describing Con A-polysaccharides interaction are determined in a saturation binding experiment, where increasing concentrations of polysaccharides are run on a Con A-immobilized gold crystal surface, and the frequency shifts recorded on the frequency counter. The molecular weights (MW) of glycogen from Oyster and mannan from Saccharomyces cerevisiae were determined by size exclusion chromatography. The MW for glycogen and mannan are 604±0.002 kDa and 54±0.002 kDa, respectively. The equilibrium association and dissociation constants for ConA-glycogen and Con A-mannan interactions are KA = 3.93 ± 0.7 × 106 M−1 / KD = 0.25 ± 0.06 μM and KA = 3.46 ± 0.22 × 105 M−1 / KD = 2.89 μM ± 0.20 (n = 3), respectively. Their respective frequency and motional resistance shifts relationship (ΔF/ΔR) are 37.29±1.55 and 34.86±0.85 Hz.Ω−1 (n=3), which support the validity of Sauerbrey’s rigidity approximation. This work suggests that Con A-mannan complex could be potentially utilized delivery and the targeting of glucose-rich substances and glycoproteins when fast drug release is desired.

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Section: Introductionmentioning

confidence: 99%

Concanavalin A–Polysaccharides binding affinity analysis using a quartz crystal microbalance

Coulibaly

Youan

2014

Biosensors and Bioelectronics

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“…Biosensors based on bacteriophages have demonstrated remarkable potential to surmount these restrictions and to offer rapid, efficient and sensitive detection technique for antibiotic resistant bacteria (14).…”

Section: Resultsmentioning

confidence: 99%

Lytic Phage in Biosensing

et al. 2014

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A structurally transformed lytic bacteriophage having a broad host range of Staphylococcus aureus strains and a penicillin-binding protein (PBP 2a) antibody conjugated latex beads have been used to produce a biosensor for discrimination of methicillin resistant (MRSA) and sensitive (MSSA) S. aureus strains. The lytic phages have been converted into phage spheroids and moved onto a biosensor surface by Langmuir-Blodgett technique. The produced biosensors have been tested by a quartz crystal microbalance with dissipation tracking to examine bacteria-phage interactions. Bacteria-spheroid interactions caused reduction of resonance frequency and rise in dissipation energy for both MRSA and MSSA strains. Following the bacterial binding, these sensors have been further exposed to the penicillin-binding protein antibody latex beads. Sensors analyzed with MRSA responded to PBP 2a antibody beads; although sensors tested with MSSA gave no response. This experimental distinction determines an unambiguous discrimination between methicillin resistant and sensitive S. aureus strains.

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“…In another study conducted by Sharma and Mutharasan [48] using a piezoelectric biosensor, the number of L. monocytogenes in milk was found to be 10 2 CFU/mL. S. aureus was detected in a culture using Quartz Crystal Microbalance with dissipation tracking (QCM-D) by Guntupalli et al [30] and the presence of S. aureus by using phage (Phage 12600) was found to be 10 4 CFU/mL. Wang et al [66] also studied a QCM-based aptasensor that was developed to detect S. typhimurium.…”

Section: Mass-sensitive Biosensorsmentioning

confidence: 99%

Biosensors: A Novel Approach to Detect Food-borne Pathogens.

Sentürk¹,

Aktop²,

Şanlibaba³

et al. 2018

Appli Microbiol Open Access

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Foodborne pathogens affect human health negatively and are known to cause economic losses. Therefore, quick detection of foodborne pathogens and the implementation of measures to ensure their inactivation are of immense significance. Immunological, molecular, and cultural methods are frequently used in the detection of foodborne pathogens. High cost, prolonged analysis times, and the necessity of specialized personnel are some of the disadvantages of these methods. Biosensors are known as analytical devices. The use of biosensors is considered a new approach to quickly detect foodborne pathogens and their toxins. Biosensors, which are capable of converting biological, chemical, or biochemical signals into measurable electrical signals, are systems containing a biological detection material combined with a chemical or physical transducer. Different types of biosensor are being employed for detection of pathogenic bacteria. Biosensors are sensitive, fast, economical, reliable, and portable devices, and are used in many fields such as food safety, medicine, pharmacy, measurement of environmental pollution, and the military defense. Electrochemical and optical biosensors and piezoelectric immunosensors are among the most frequently used biosensors in the detection of foodborne pathogens. In this article, the principle components and requirements for an ideal biosensor, types, and their applications in food industry are summarized.

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Biosensor for Detection of Antibiotic Resistant Staphylococcus Bacteria

Cited by 12 publications

References 32 publications

Concanavalin A–Polysaccharides binding affinity analysis using a quartz crystal microbalance

Concanavalin A–Polysaccharides binding affinity analysis using a quartz crystal microbalance

Lytic Phage in Biosensing

Biosensors: A Novel Approach to Detect Food-borne Pathogens.

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