A Study of an Ultrasensitive Label Free Silicon Nanowire FET Biosensor for Cardiac Troponin I Detection

Prakash, M. Durga; Krsihna, B. Vamsi; Satyanarayana, B. V. V.; Vignesh, N. Arun; Panigrahy, Asisa Kumar; Ahmadsaidulu, Shaik

doi:10.1007/s12633-021-01352-5

Cited by 31 publications

(7 citation statements)

References 30 publications

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“…A variety of cTnI biosensors based on optical, electrochemical and electrical transduction have been reported, 54 among which nanowire-based FET biosensors have shown LoD values typically ranging from 100 pg mL −1 down to 1 pg mL −1 . [55][56][57][58] Yet, the discussed GFET approach based on the use of optimized pyrene-based functionalization has a comparable high sensitivity to cTnI sensing, with the additional advantage of using considerably simpler fabrication processes, without the need of harsh and complex chemistry methods for the functionalization of the sensing area.…”

Section: Graphene Modification With Pmal For Sensing Of Ctnimentioning

confidence: 99%

The holy grail of pyrene-based surface ligands on the sensitivity of graphene-based field effect transistors

et al. 2022

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Section: Graphene Modification With Pmal For Sensing Of Ctnimentioning

confidence: 99%

The holy grail of pyrene-based surface ligands on the sensitivity of graphene-based field effect transistors

et al. 2022

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“…Energy detectors [16][17][18][19][20], waveform or matched filter-based detectors [16,18,21,22], cyclostationarity-based detectors [23][24][25][26][27], and wavelet and time-frequency based detectors [28][29][30], to name a few, have all been modified for the implementation of spectrum sensing for cognitive radio. Also, many researchers used many device level measurement spectrum sensing [31][32][33][34][35][36][37].…”

Section: Related Workmentioning

confidence: 99%

Truncation Multiplier‐Based Cognitive Radio Spectrum Analyzer for Nanomedical Applications

Kumareshan¹,

Umashankar²,

Verma

et al. 2022

Journal of Nanomaterials

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The electromagnetic spectrum is one of nature’s meagre resources. The requirements of wireless communication cannot be satisfied by the new spectrum allocation plan. A policy of self-driven spectrum allocation results as a result. Cognitive radio (CR) engineering is a brilliant technique to maximise spectrum utilisation in rapidly changing environments by identifying unusable and underutilised bandwidth. One of the information strategies of intellectual radio is range detecting, which uses self-persuaded range allocation techniques to use open range to determine the existence of critical clients in the approved recurrence band. Energy location and cyclostationary highlight recognition are the two main factors that determine range detection. Energy recognition is a key method of range detection, but it becomes discouraging at low signal to noise ratios. With a cost of the highest degree of execution complexity, the critical cyclostationary highlight recognition based on cyclic range assessment may successfully identify weak signs from crucial clients. This project is aimed at implementing a useful range detecting mechanism in a field programmable door show with meticulous precision for CR. The adaptive absolute-self-coherent-restoral algorithm, specifically using the truncation multiplier, is a new spectrum sensing system. The proposed architecture, which makes use of a truncation multiplier, was created using the Xilinx approach. This study suggests an efficient spectrum sensing technique that makes use of the Adaptive Absolute Score (AAS) algorithm and SQRT-based Carry Select Adder (CSLA). The TM-CSLA design includes 228 LUT for the Spartan 6 device, which is fewer than the other architectures.

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“…The issue is whether businesses maintain ICT infrastructure, hardware, software, information system, and people and human resource readiness with their business [17][18][19][20]. Now, even large businesses, such as those in the semiconductor industry, are adopting newer technologies, such as three-dimensional IC integration employing Cu-Cu bonding [21][22][23][24][25][26][27][28], various revolutionary nanometer-level device fabrication techniques, even bio devices, and wearable antennas [29][30][31][32][33][34][35]. The framework model for the relationships among the ICT readiness dimensions, including ICT infrastructure, ICT hardware software, information system, and people and human resource, is shown in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

ICT System for 14.0 Adoption: Comparative Study to Assess the Readiness in Manufacturing MSMEs

Nandhini

Palanivelu

Panigrahy³

et al. 2022

Journal of Nanomaterials

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One of India’s fastest-growing industries is the manufacturing sector centered on exports. Additionally, it has a greater impact on the economic development of India. Technology in the export-oriented manufacturing sector makes a significant contribution to the rise in productivity, which also boosts profits. The study’s major goal is to learn more about the adoption of the 14.0 ICT system by manufacturing enterprises with reference to MSMEs and to evaluate its efficacy. In order to gather information for this goal, a survey approach was used, with the dimensions of ICT infrastructure, ICT hardware, software, and information systems, as well as people and human resource factors, as the instruments. Multiple regression and descriptive statistics were used to evaluate the data on a sample size of 7 businesses from the Pondicherry region. The conclusion is that firms have a significant gap in their ICT preparedness in terms of ICT infrastructure, ICT hardware, software, and information systems, and this must be treated seriously by the businesses if technology advancement is to continue in the future.

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A Study of an Ultrasensitive Label Free Silicon Nanowire FET Biosensor for Cardiac Troponin I Detection

Cited by 31 publications

References 30 publications

The holy grail of pyrene-based surface ligands on the sensitivity of graphene-based field effect transistors

The holy grail of pyrene-based surface ligands on the sensitivity of graphene-based field effect transistors

Truncation Multiplier‐Based Cognitive Radio Spectrum Analyzer for Nanomedical Applications

ICT System for 14.0 Adoption: Comparative Study to Assess the Readiness in Manufacturing MSMEs

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