Silicon photonics is poised to revolutionize bio-sensing applications, specifically in medical diagnostics. The need for cost effective and reliable bio-sensors in medical applications is an ever growing and everlasting one. In this synopsis we have designed a 2-D hexagonal photonic crystal ring resonator based bio-sensor that is able to detect lung cancer from blood. Simulation and analysis has been done for normal DNA and the cancer affected DNA in blood. The intensity level of transmission spectrum has been observed. Finite Difference Time Domain (FDTD) method is used for analysis. MEEP (MIT Electromagnetic Equation Propagation) tool and RSOFT Photonic Suite CAD tool are used designing the photonic crystal sensor. The results show that for small changes in the refractive index of the input samples there is a significant shift in wavelength and amplitude. Thus the sensor is highly sensitive for change in refractive index and hence differentiating normal and cancer affected DNA.
The recent trends in the semiconductor and microwave industries has enabled the development of scalable microfabrication technology which produces a superior set of performance as against its counterparts. Surface Plasmon Resonance (SPR) based biosensors are a special class of optical sensors that become affected by electromagnetic waves. It is found that bio-molecular recognition element immobilized on the SPR sensor surface layer reveals a characteristic interaction with various sample solutions during the passage of light. The present work revolves around developing painless glucose monitoring systems using fluids containing glucose like saliva, urine, sweat or tears instead of blood samples. Non–invasive glucose monitoring has long been simulated using label free detection mechanisms and the same concept is adapted. In label-free detection, target molecules are not labeled or altered, and are detected in their natural forms. Label-free detection mechanisms involves the measurement of refractive index (RI) change induced by molecular interactions. These interactions relates the sample concentration or surface density, instead of total sample mass. After simulation it has been observed that the result obtained is highly accurate and sensitive. The structure used here is SPR sensor based on channel waveguide. The tools used for simulation are RSOFT FULLWAVE, MEEP and MATLAB etc.