From Microorganism-Based Amperometric Biosensors towards Microbial Fuel Cells

Andriukonis, Eivydas; Celiešiūtė-Germanienė, Raimonda; Ramanavičius, Simonas; Viter, Roman; Ramanavičius, Arūnas

doi:10.3390/s21072442

Cited by 49 publications

(22 citation statements)

References 152 publications

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“…It is associated with high ROS levels with an aim of the activation of SARS-CoV 3a-induced NLRP3 inflammasome [ 174 ]. This is due to the viral infection which activates the generation of ROS [ 175 ].…”

Section: Covid-19 Diagnosismentioning

confidence: 99%

Biosensors for the Determination of SARS-CoV-2 Virus and Diagnosis of COVID-19 Infection

Drobysh

Ramanavičienė

Viter

et al. 2022

IJMS

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Monitoring and tracking infection is required in order to reduce the spread of the coronavirus disease 2019 (COVID-19), induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To achieve this goal, the development and deployment of quick, accurate, and sensitive diagnostic methods are necessary. The determination of the SARS-CoV-2 virus is performed by biosensing devices, which vary according to detection methods and the biomarkers which are inducing/providing an analytical signal. RNA hybridisation, antigen-antibody affinity interaction, and a variety of other biological reactions are commonly used to generate analytical signals that can be precisely detected using electrochemical, electrochemiluminescence, optical, and other methodologies and transducers. Electrochemical biosensors, in particular, correspond to the current trend of bioanalytical process acceleration and simplification. Immunosensors are based on the determination of antigen-antibody interaction, which on some occasions can be determined in a label-free mode with sufficient sensitivity.

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Section: Covid-19 Diagnosismentioning

confidence: 99%

Biosensors for the Determination of SARS-CoV-2 Virus and Diagnosis of COVID-19 Infection

Drobysh

Ramanavičienė

Viter

et al. 2022

IJMS

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“…There is a very close link between electrochemical sensor technologies and those used to develop biofuel cells [ 1 , 2 , 3 ]. Microbial fuel cells (MFCs) convert chemical energy into electric power via microorganism-catalysed reactions [ 4 , 5 ].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Yeast–Polypyrrole Biocomposite Used in Microbial Fuel Cells

Zinovicius

Rožėnė

Merkelis

et al. 2022

Sensors

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Electrically conductive polymers are promising materials for charge transfer from living cells to the anodes of electrochemical biosensors and biofuel cells. The modification of living cells by polypyrrole (PPy) causes shortened cell lifespan, burdens the replication process, and diminishes renewability in the long term. In this paper, the viability and morphology non-modified, inactivated, and PPy-modified yeasts were evaluated. The results displayed a reduction in cell size, an incremental increase in roughness parameters, and the formation of small structural clusters of polymers on the yeast cells with the increase in the pyrrole concentration used for modification. Yeast modified with the lowest pyrrole concentration showed minimal change; thus, a microbial fuel cell (MFC) was designed using yeast modified by a solution containing 0.05 M pyrrole and compared with the characteristics of an MFC based on non-modified yeast. The maximal generated power of the modified system was 47.12 mW/m2, which is 8.32 mW/m2 higher than that of the system based on non-modified yeast. The open-circuit potentials of the non-modified and PPy-modified yeast-based cells were 335 mV and 390 mV, respectively. Even though applying a PPy layer to yeast increases the charge-transfer efficiency towards the electrode, the damage done to the cells due to modification with a higher concentration of PPy diminishes the amount of charge transferred, as the current density drops by 846 μA/cm2. This decrease suggests that modification by PPy may have a cytotoxic effect that greatly hinders the metabolic activity of yeast.

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“…Additionally, the biocompatibility issues of the sensors could be resolved by modifying electrodes with polymers such as chitosan or hydrogels [ 17 ]. In addition, various features of the electrodes could easily be altered by selecting the optimal chemical and electrochemical parameters during the effective electrode modifications [ 18 , 19 ].…”

Section: Introductionmentioning

confidence: 99%

Laser-Induced Graphene-Based Enzymatic Biosensor for Glucose Detection

2021

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Laser-induced graphene (LIG) has recently been receiving increasing attention due to its simple fabrication and low cost. This study reports a flexible laser-induced graphene-based electrochemical biosensor fabricated on a polymer substrate by the laser direct engraving process. For this purpose, a 450 nm UV laser was employed to produce a laser-induced graphene electrode (LIGE) on a polyimide substrate. After the laser engraving of LIGE, the chitosan–glucose oxidase (GOx) composite was immobilized on the LIGE surface to develop the biosensor for glucose detection. It was observed that the developed LIGE biosensor exhibited good amperometric responses toward glucose detection over a wide linear range up to 8 mM. The GOx/chitosan-modified LIGE biosensor showed high sensitivity of 43.15 µA mM−1 cm−2 with a detection limit of 0.431 mM. The interference studies performed with some possible interfering compounds such as ascorbic acid, uric acid, and urea exhibited no interference as there was no difference observed in the amperometric glucose detection. It was suggested that the LIGE-based biosensor proposed herein was easy to prepare and could be used for low-cost, rapid, and sensitive/selective glucose detection.

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From Microorganism-Based Amperometric Biosensors towards Microbial Fuel Cells

Cited by 49 publications

References 152 publications

Biosensors for the Determination of SARS-CoV-2 Virus and Diagnosis of COVID-19 Infection

Biosensors for the Determination of SARS-CoV-2 Virus and Diagnosis of COVID-19 Infection

Evaluation of a Yeast–Polypyrrole Biocomposite Used in Microbial Fuel Cells

Laser-Induced Graphene-Based Enzymatic Biosensor for Glucose Detection

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