Infrastructure of Synchrotronic Biosensor Based on Semiconductor Device Fabrication for Tracking, Monitoring, Imaging, Measuring, Diagnosing and Detecting Cancer Cells
Source: By:Alireza Heidari
DOI: https://doi.org/10.30564/ssid.v1i2.1827
Abstract:Copper Zinc Antimony Sulfide (CZAS) is derived from Copper Antimony
Sulfide (CAS), a famatinite class of compound. In the current paper, the
first step for using Copper, Zinc, Antimony and Sulfide as materials in
manufacturing synchrotronic biosensor-namely increasing the sensitivi
ty of biosensor through creating Copper Zinc Antimony Sulfide, CZAS
(Cu1.18Zn0.40Sb1.90S7.2) semiconductor and using it instead of Copper
Tin Sulfide, CTS (Cu2SnS3) for tracking, monitoring, imaging, measuring,
diagnosing and detecting cancer cells, is evaluated. Further, optimization of
tris(2,2'-bipyridyl)ruthenium(II)(Ru(bpy)32+) concentrations and Copper
Zinc Antimony Sulfide, CZAS (Cu1.18Zn0.40Sb1.90S7.2) semiconduc
tor as two main and effective materials in the intensity of synchrotron for
tracking, monitoring, imaging, measuring, diagnosing and detecting cancer
cells are considered so that the highest sensitivity obtains. In this regard,
various concentrations of two materials were prepared and photon emission
was investigated in the absence of cancer cells. On the other hand, ccancer
diagnosis requires the analysis of images and attributes as well as collecting
many clinical and mammography variables. In diagnosis of cancer, it is
important to determine whether a tumor is benign or malignant. The infor
mation about cancer risk prediction along with the type of tumor are crucial
for patients and effective medical decision making. An ideal diagnostic
system could effectively distinguish between benign and malignant cells;
however, such a system has not been created yet. In this study, a model is
developed to improve the prediction probability of cancer. It is necessary to
have such a prediction model as the survival probability of cancer is high
when patients are diagnosed at early stages.
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