Optimizing blocking of nonspecific bacterial attachment to impedimetric biosensors

Riquelme, Maria V.; Zhao, Huaning; Srinivasaraghavan, Vaishnavi; Pruden, Amy; Vikesland, Peter J.; Agah, Masoud

doi:10.1016/j.sbsr.2016.04.003

Cited by 39 publications

(31 citation statements)

References 51 publications

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“…The R 2 of the linear calibration curve was equal to 0.984 (p-value = 0.00001), and the LOD was found to be 0.24 ng mL −1 (0.70 nM). Nevertheless, to reduce the error bars and enhance the sensor reproducibility, the nanoMIPs sensor was optimized by changing the working solution and optimizing the blocking agents [32][33][34] Therefore, MOPS at pH 7.4 was selected as the working buffer diluent. Then, several blocking reagents were investigated (BSA, milk proteins, Tween 20 and PVA), alone or in combination, as explained above.…”

Section: Sensor Sensitivity and Specificitymentioning

confidence: 99%

Molecularly Imprinted Nanoparticles Based Sensor for Cocaine Detection

et al. 2020

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The development of a sensor based on molecularly imprinted polymer nanoparticles (nanoMIPs) and electrochemical impedance spectroscopy (EIS) for the detection of trace levels of cocaine is described in this paper. NanoMIPs for cocaine detection, synthesized using a solid phase, were applied as the sensing element. The nanoMIPs were first characterized by Transmission Electron Microscopy (TEM) and Dynamic Light Scattering and found to be ~148.35 ± 24.69 nm in size, using TEM. The nanoMIPs were then covalently attached to gold screen-printed electrodes and a cocaine direct binding assay was developed and optimized, using EIS as the sensing principle. EIS was recorded at a potential of 0.12 V over the frequency range from 0.1 Hz to 50 kHz, with a modulation voltage of 10 mV. The nanoMIPs sensor was able to detect cocaine in a linear range between 100 pg mL−1 and 50 ng mL−1 (R2 = 0.984; p-value = 0.00001) and with a limit of detection of 0.24 ng mL−1 (0.70 nM). The sensor showed no cross-reactivity toward morphine and a negligible response toward levamisole after optimizing the sensor surface blocking and assay conditions. The developed sensor has the potential to offer a highly sensitive, portable and cost-effective method for cocaine detection.

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Section: Sensor Sensitivity and Specificitymentioning

confidence: 99%

Molecularly Imprinted Nanoparticles Based Sensor for Cocaine Detection

et al. 2020

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“…The clinical sample may have complex biological environments containing various unknown cells and biomolecules such as proteins, which could nonspecifically be attached on the sensor surface resulting in false‐positive responses. Therefore, a suitable blocking agent such as mercaptohexanol, mercaptoethanol, poly(ethylene glycol), or bovine serum albumin can be used to prevent nonspecific bindings …”

Section: Detection Of Rnas: the Challengesmentioning

confidence: 99%

RNA Biomarkers: Diagnostic and Prognostic Potentials and Recent Developments of Electrochemical Biosensors

et al. 2017

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Ribonucleic acids (RNAs) are considered as effective and minimally invasive biomarkers for disease diagnosis and prognosis due to their critical role in the regulation of different cellular processes. Over the past several years, the rapid progress in RNA biomarker research has resulted in the development of a large number of high‐performance RNA‐detection methods. Most of these methods are based on molecular‐biology techniques such as quantitative reverse transcription polymerase chain reaction (RT‐qPCR), microarrays, and RNA sequencing. In recent years, considerable attention has also been dedicated to developing RNA biosensors, exploiting micro‐ and nanofabrication technologies, and various readout strategies, including electrochemical and optical transducers. Here, the recent developments of RNA biosensors are concisely reviewed with a special emphasis on electrochemical‐detection approaches. The following points are also highlighted: i) all the types of clinically relevant RNAs (mRNAs, miRNAs, lncRNAs) and their diagnostic and prognostic potential in cancer are outlined, ii) major challenges associated with current techniques are identified, followed by a critical analysis of how these challenges have been addressed by different biosensing approaches, and iii) the current requirements that still need to be met for effective screening of RNA biomarkers in both research and clinical settings.

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“…5). The sizes of BSA, PEG, and casein were reported as approximately 65,000, 2,000, and 22,000 Da, respectively [23,24]. It was concluded that the smaller the size of PEG used, the more thoroughly covered the spaces between the E2 phage were.…”

Section: Selection Of Blocking Reagentmentioning

confidence: 99%

“…The selection of the best extraction procedures solved the nonspecific binding on the sensor in a certain range; however, the extraction did not solve all possible nonspecific binding problems. The best blocking reagent needs to satisfy certain requirements, including blocking the space between the E2 phages and not interfering with the capacity of the E2 phage to interact with its target [23,24]. Since BSA, casein, and PEG have been popularly used as blocking reagents on plastic or gold surfaces [11,16,29], these reagents were selected for this study.…”

Section: Selection Of Blocking Reagentmentioning

confidence: 99%

Novel Approach of a Phage-Based Magnetoelastic Biosensor for the Detection of Salmonella enterica serovar Typhimurium in Soil

Park

Chin

2016

Journal of Microbiology and Biotechnology

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To date, there has been no employment of a magnetoelastic (ME) biosensor method to detect serovar Typhimurium in soil. The ME biosensor method needs to be investigated and modified for its successful performance. The filtration method, cation-exchange resin method, and combinations of both methods were employed for the extraction of. Typhimurium from soil. The number of . Typhimurium and the resonant frequency shift of the ME sensor were then compared using a brilliant green sulfa agar plate and an HP 8751A network analyzer. A blocking study was performed using bovine serum albumin (BSA), polyethylene glycol (PEG), and casein powder suspension. Finally, the modified ME biosensor method was performed to detect. Typhimurium in soil. The number of . Typhimurium was significantly decreased from 7.10 log CFU/soil to 4.45-4.72 log CFU/soil after introduction of the cation-exchange resin method. The greatest resonant frequency shift of the measurement sensor was found when employing centrifugation and filtration procedures. The resonant frequency shift of the PEG-blocked measurement sensor was 3,219 ± 755 Hz, which was significantly greater than those of the BSA- and casein-blocked ME sensor. The optimum concentration of PEG was determined to be 1.0 mg/ml after considering the resonant shift and economic issue. Finally, the modified ME biosensor method was able to detect. Typhimurium in soil in a dose-response manner. Although these modifications of the ME biosensor method sacrificed some advantages, such as cost, time effectiveness, and operator friendliness, this study demonstrated a novel approach of the ME biosensor method to detect . Typhimurium in soil.

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Optimizing blocking of nonspecific bacterial attachment to impedimetric biosensors

Cited by 39 publications

References 51 publications

Molecularly Imprinted Nanoparticles Based Sensor for Cocaine Detection

Molecularly Imprinted Nanoparticles Based Sensor for Cocaine Detection

RNA Biomarkers: Diagnostic and Prognostic Potentials and Recent Developments of Electrochemical Biosensors

Novel Approach of a Phage-Based Magnetoelastic Biosensor for the Detection of Salmonella enterica serovar Typhimurium in Soil

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