Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism

Masud, Usman; Amirzada, Muhammad Rizwan; Elahi, Hassan; Akram, Faraz; Zeeshan, A.; Khan, Yousuf; Ehsan, Muhammad Khurram; Qureshi, Muhammad Aasim; Ali, Aasim; Nawaz, Sajid; Ghafoor, Usman

doi:10.3390/app12041856

Cited by 5 publications

(3 citation statements)

References 56 publications

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“…This work could be carried out in a variety of applications that require sensor control and data transmission. For example, relocating FPGA and USB 3.0 into Masud Usman’s work for sensors might result in better detection efficiency, which would be a good direction for research 21 , 22 .…”

Section: Discussionmentioning

confidence: 99%

FPGA-based CCD signal acquisition and transmission system design

Peng,

Tang,

et al. 2024

Sci Rep

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In order to facilitate the analysis and processing of optical signals, an FPGA-based CCD signal acquisition and data transmission system is designed in this work. The system uses an FPGA as the main control device, the TCD1304DG/AP chip as the optical signal detector, and the CYUSB3KIT-003 development board product by Cypress for data transmission. Verilog and Python languages are employed for modular design and on-board verification. Through the coordination of each module, the system successfully achieves CCD signal data acquisition and transmission.

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Section: Discussionmentioning

confidence: 99%

FPGA-based CCD signal acquisition and transmission system design

Peng,

Tang,

et al. 2024

Sci Rep

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“…Therefore, it is anticipated that the biosensor market would continue to expand due to the high demand for the biomedical diagnosis and detection of various biomolecules that are either indicators of a disease or targets of a drug. There are different types of biosensors based on transducers like optical [1,2], electrochemical [3], mass-based [4], etc.…”

Section: Introductionmentioning

confidence: 99%

Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

Pandey,

Dwivedi

et al. 2024

Phys. Scr.

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The detailed analytical model of biosensing parameters are proposed for a double-cavity graded MgZnO/ZnO metal oxide semiconductor high electron mobility transistor (MOSHEMT) with cap layer-based biosensor including transfer characteristic, output characteristic, change in cut-off voltage (ΔVoff), transconductance (gm), sensitivity, and selectivity. A thorough investigation of dielectric modulation in a double nanogap cavity under the gate was conducted with a focus on improving the sensing characteristics of a MOSHEMT to indicate the presence of biomolecules like Uricase, Streptavidin, Protein, and ChOx. The dielectric modulation and the Poisson equation were used to determine the effective capacitance and cut-off voltage in the cavity region. Consequently, the changes in the cut-off voltage and the drain current of the device were used as the sensing metrics for the detection of biomolecules in the cavity regions. It was found that the proposed graded MgZnO/ZnO MOSHEMT-based biosensor demonstrates a higher change in cut-off voltage and drain current in comparison to the previous works, suggesting higher sensitivity for biomolecules.

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“…Due to their limited computational capabilities, these devices are unable to handle large amounts of data [29]. As a result, their quality of service (QoS) is highly compromised [30,31]. Because of this, the need for a lot of computing power shows that users are moving away from traditional ways of communicating and toward computers [32,33].…”

Section: Introductionmentioning

confidence: 99%

On Computational Offloading in Massive MIMO-Enabled Next-Generation Mobile Edge Computing

AlJubayrin

Khan

et al. 2022

Wireless Communications and Mobile Computing

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Next-generation wireless communication networks are expected to support massive connectivity with high data rate, low power consumption, and computational latency. However, it can significantly enhance the existing network complexity, which results in high latency. To ease this situation, mobile edge cloud and massive multiple input and multiple output (MIMO) have recently emerged as the effective solutions. Mobile edge cloud has the ability to overcome the constraints of low power and finite computational resources in next-generation communication systems by allowing devices to offload their extensive computation to maximize the computation rate. On the other hand, MIMO can enhance network spectral efficiency by using large number of antenna elements. The integration of mobile edge cloud with massive MIMO also helps to increase the energy efficiency of the devices; as a result, more bits are computed with minimal energy consumption. In this work, a mathematical model is formulated by considering the devices’ energy constraint, which is nonconvex in nature. Following that, to overcome this, we transformed the original optimization problem using the first approximation method and solved the partial offloading schemes. Results reveal that the proposed scheme outperforms the others by considering computational rate as a performance matrix.

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Design of Two-Mode Spectroscopic Sensor for Biomedical Applications: Analysis and Measurement of Relative Intensity Noise through Control Mechanism

Cited by 5 publications

References 56 publications

FPGA-based CCD signal acquisition and transmission system design

FPGA-based CCD signal acquisition and transmission system design

Device optimization and sensitivity analysis of a double-cavity graded MgZnO/ZnO MOSHEMT for biomolecule detection

On Computational Offloading in Massive MIMO-Enabled Next-Generation Mobile Edge Computing

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