Design and FEM model Analysis of MEMS cantilever structure for detection of Colon Cancer using Mass sensing

Shameem, Syed; Prasad, G. R. K.; Muzamilparvez., M; Reshmi, U.; Harshitha, G.; Haritha, K.

doi:10.5958/0974-360x.2019.00730.3

Cited by 11 publications

(3 citation statements)

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“…PROPOSED MODEL'S WORKING PRINCIPLE Figure 1 illustrates an overview of the setup [5,24]. For analyzing single-cell's bioelectrical properties we have proposed a "non-invasive bio-sensor" [25][26][27][28]. To measure its electrical properties, the prepared cell is placed in a restricted zone.…”

Section: Bio Electical Characterizationmentioning

confidence: 99%

Development of a MEMS-Based Biosensor for Analyzing the Bio-Electrical Characteristics of Colon Cancer Cells

shameem

2024

Preprint

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Investigating the bioelectrical characteristics of individual cells can provide important information about many aspects of cellular processes and their roles in general health and disease conditions. Comprehending these attributes at the cellular level facilitates a more intricate comprehension of physiological mechanisms and creates novel opportunities for disease detection, management, and even averting. It's fascinating to observe how new methods and technological developments are allowing us to learn more about the intricacies of cellular biology and how they relate to human health. Since cancer cells have slightly lower capacitance and resistance values, the bioelectrical properties could be used as biomarkers for early cancer identification. Measurements were conducted on the capacitance and resistance of individual normal cell lines (IEC-6), and highly-invasive malignant (SW480) colon cancer cells using MEMS sensors during simulations. Normal cell resistance is 318kΩ, while normal cell capacitance is 8.12nF. These values differ from those of cancer cells, which have variable resistance and capacitance values (246kΩ and 3.91nF for SW480). At a frequency range of 200 Hz to 2 MHz significant difference is observed in impedance magnitude response values between normal cells (7.7 MΩ to 62kΩ) and cancer cells (7.1 MΩ to 54.9kΩ).

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Section: Bio Electical Characterizationmentioning

confidence: 99%

Development of a MEMS-Based Biosensor for Analyzing the Bio-Electrical Characteristics of Colon Cancer Cells

shameem

2024

Preprint

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“…This new proposed model will increase the security to certain level that is greater than the RSA and this new model will reduce the time take to encrypt the data in compared to the existing model [14]. In this methodology, a multi-level encryption strategy (Merkle-Hellman Knapsack cryptosystem with Elliptic Curve Cryptography), [2], is utilized.…”

Section: Existing Modelmentioning

confidence: 99%

Network Security using Notable Cryptographic Algorithm for IoT Data

M¹

2020

IJETER

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Internet of Things (IoT) performs an imperative job within the field of Information Technology, Industries as well as Healthcare etc. As information within IoT application would be identified with the physical domain, guaranteeing information safety is an essential requirement for some cases. Since in the IoT setting clients, yet in addition approved articles may get to data. Security speaks to a basic part for empowering the across the board reception of IoT innovations, and applications. In this way this paper proposes a staggered encryption procedure to upgrade the security of the IoT information. In this methodology the information detected from the IoT gadgets are scrambled in the entryway utilizing Merkle-Hellman encryption and Elliptic Curve Cryptography (ECC), to guarantee the security of the information.

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“…Because of the poor diagnosis only many people are losing their lives. The person who got affected from cancer seems like a normal person in the initial stages [12][13][14][15]. But when the cancer starts growing gradually day by day then life will be a disaster and it is really difficult to survive until and unless you have good will power.…”

Section: Classificationmentioning

confidence: 99%

Design of Efficient Trap Structure for the Analysis of Single Carcinoma Cell

2020

jcr

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In medical field analysis of single cell's properties is of great use. To analyze the properties of the single cell, a trapping structure is necessary. In This paper we propose different structures for trapping of cancer cells. The structure designed will be applicable to trap only cancer cells which have large size and also very hard unlike normal cells. So the normal cells passes through the region and cancer cells got struck there as more pressure will be there. Also we will find with which range velocity the blood should flow and what happens if the velocity exceeds the range.

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Design and FEM model Analysis of MEMS cantilever structure for detection of Colon Cancer using Mass sensing

Cited by 11 publications

References 0 publications

Development of a MEMS-Based Biosensor for Analyzing the Bio-Electrical Characteristics of Colon Cancer Cells

Development of a MEMS-Based Biosensor for Analyzing the Bio-Electrical Characteristics of Colon Cancer Cells

Network Security using Notable Cryptographic Algorithm for IoT Data

Design of Efficient Trap Structure for the Analysis of Single Carcinoma Cell

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