A Simple Low Power Electronic Readout for Rapid Bacteria Detection With Impedance Biosensor

Samanta, N.; Kundu, Olyvia; Chaudhuri, Chirasree Roy

doi:10.1109/jsen.2013.2272522

Cited by 10 publications

(2 citation statements)

References 17 publications

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“…In terms of the comparison to other PSi-based bacteria sensors, the current detection platform shows a similar LoD and response time to the devices that rely on RIFTS as the detection method. − Other methods, such as surface-enhanced Raman spectroscopy, are faster and more sensitive but require more bulky equipment if a high precision is required . Electrochemical methods are also faster and more sensitive, but they are easily impacted by the nature of the analyte matrix . However, when considering a similar detection protocol, relying on lytic agents, the use of PSi membranes instead of PSi layers tremendously improved the LoD, which was estimated at 10 7 CFU/mL for PSi layers …”

Section: Discussionmentioning

confidence: 93%

Indirect Detection of Bacteria on Optically Enhanced Porous Silicon Membrane-Based Biosensors Using Selective Lytic Enzymes

et al. 2023

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In this work, we developed a biosensor for the indirect detection of bacteria via their lysate. The developed sensor is based on porous silicon membranes, which are known for their many attractive optical and physical properties. Unlike traditional porous silicon biosensors, the selectivity of the bioassay presented in this work does not rely on bio-probes attached to the sensor surface; the selectivity is added to the analyte itself, by the addition of lytic enzymes that target only the desired bacteria. The resulting bacterial lysate is then able to penetrate into the porous silicon membrane and affects its optical properties, while intact bacteria accumulate on top of the sensor. The porous silicon sensors, fabricated using standard microfabrication techniques, are coated with TiO 2 layers using atomic layer deposition. These layers serve as passivation but also enhance the optical properties. The performance of the TiO 2 -coated biosensor is tested for the detection of Bacillus cereus, using the bacteriophage-encoded PlyB221 endolysin as the lytic agent. The sensitivity of the biosensor is much improved compared to previous works, reaching 10 3 CFU/mL, with a total assay time of 1 h 30 min. The selectivity and versatility of the detection platform are also demonstrated, as is the detection of B. cereus in a complex analyte.

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Section: Discussionmentioning

confidence: 93%

Indirect Detection of Bacteria on Optically Enhanced Porous Silicon Membrane-Based Biosensors Using Selective Lytic Enzymes

et al. 2023

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“…The signal generator can generate sinusoidal wave of frequencies 100Hz, 2 KHz, 5 KHz, 15 KHz, 50 KHz and 80 KHz. The details of the signal generator are provided in [8]. The generated wave is provided as input to the sensor drive circuit.…”

Section: Methodsmentioning

confidence: 99%

High Performance Nanostructured Silicon Oxide Impedance Biosensor System with Online Noise Spectroscopy Analysis

Samanta

Ghosh

2014

AMR

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In this paper, noise spectroscopy has been reported earlier as an efficient tool for enhancing the selectivity of biosensors and the analysis was carried out by desktop spectrum analyzer. There were no reports, however, on the efficacy of this method in complex mixture. We have performed here for the first time, noise spectroscopy analysis on complex mixture of food toxin samples and observed that the first cut-off frequencies are indicative of the fact whether the solution has only specific antigen, mixture of specific and nonspecific antigen or no specific antigen at all. To realize a portable immunosensor, we have developed an electronic interface using digital signal processor (DSP) chip of Microchip Technology which has the embedded Fast Fourier Transform (FFT) algorithm for computation of noise spectrum. The entire system has been successfully demonstrated to detect 0.1 fg/ml aflatoxin B1 (AfB1) from a complex mixture with as high as 1000ng/ml non-specific toxins.

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Application of Porous Silicon in MEMS and Sensors Technology

Sujatha¹,

Chaudhuri

Bhattacharya

2015

Materials and Failures in MEMS and NEMS

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A Simple Low Power Electronic Readout for Rapid Bacteria Detection With Impedance Biosensor

Cited by 10 publications

References 17 publications

Indirect Detection of Bacteria on Optically Enhanced Porous Silicon Membrane-Based Biosensors Using Selective Lytic Enzymes

Indirect Detection of Bacteria on Optically Enhanced Porous Silicon Membrane-Based Biosensors Using Selective Lytic Enzymes

High Performance Nanostructured Silicon Oxide Impedance Biosensor System with Online Noise Spectroscopy Analysis

Application of Porous Silicon in MEMS and Sensors Technology

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