ABSTRACT
Human sperm functioning is crucial for maintaining natural reproduction, but its sterility is enhanced by variations in environmental conditions. Because of these agitating properties, powerful computer-aided devices are required, but their precision is inadequate, particularly when it comes to samples with low sperm concentrations. Therefore, for the first time, this article introduces the sulfide material-based structure for the detection of human sperm samples using the prism-based surface plasmon resonance sensor (SPR) Nano-biosensor. The proposed structure is designed on the basis of a prism-based Kretschmann configuration and includes silver, silicon, a sulfide layer, black phosphorus, and a sensing medium. This work takes advantage of the excitement of surface plasmons and evanescent waves in the metal dielectric region. For the detection process, seven sperm samples are taken, with their concentration, mobility, and refractive index measured by the refractometer. The proposed structure provides a maximum sensitivity of 409.17°/RIU, QF of 97.45RIU-1 and a DA of 1.37. The results provide a substantial improvement in comparison to the reported work in the literature.
ABSTRACT
Nowadays, Food additives and preservatives have become a hot topic especially formalin, which is a chemical substance used to preserve food. Chronic cancer is caused by swallowing the formalin-contaminated food on a regular basis. As a result, detection of the formalin in food ingredients is a critical need, and this requirement is becoming increasingly important in new terrains. Therefore, a new approach, planar waveguide-based surface plasmon resonance (SPR) sensor is presented in this paper employing silver-chloride materials-black phosphorus structure to detect the formalin. In this study, the optimization of metal thickness and optimal performance of chloride material are analyzed by observing the transmittance power and resonance shift for conventional and chloride-based sensors, respectively. Moreover, the performance parameters, such as sensitivity of 344°/ RIU, quality-factor of [Formula: see text], detection-accuracy of 3.34 and figure-of-merit of 164.74, are observed for the proposed sensor. Furthermore, the performance comparative study is conducted and found that the proposed sensor highlighted the enhanced the SPR sensor and highlighted the performance of FOM. Finally, the electromagnetic filed distributions of the proposed WG-based SPR sensor are shown using the Opti-FDTD software.
Subject(s)
Chlorides , Formaldehyde , Surface Plasmon Resonance , Software , VibrationABSTRACT
A novel, to the best of our knowledge, surface plasmon resonance (SPR) sensor, employing a silicon-barium titanate structure for Pseudomonas bacterial detection, is designed. Three bacterial attachments operate as a protective layer for the detection process with refractive indices (RI) of 1.437, 1.49368, and 1.5265. Performance analysis shows a sensitivity (S) of 155, 168, and 370°/RIU at RI of 1.5265 for Structures 1, 2, and 3, respectively. Additionally, the proposed sensor (Structure 3) accomplishes a magnified figure of merit (FOM) of 86.43 and quality factor of 86.65 at the RI of 1.5265. Finally, the proposed sensor's performance is compared with that of the existing sensors, thus demonstrating a heightened S and FOM.
Subject(s)
Barium Compounds/chemistry , Biosensing Techniques/methods , Pseudomonas Infections/diagnosis , Pseudomonas/cytology , Silicon/chemistry , Surface Plasmon Resonance/instrumentation , Titanium/chemistry , Sensitivity and SpecificityABSTRACT
We present the performance enhancement of the surface plasmon resonance (SPR) sensor for deoxyribonucleic acid (DNA) hybridization employing black phosphorus (BP), silver (Ag), and silicon (Si) configurations and numerical analysis. The combination of Ag and BP demonstrates the sensitivity of 91.54°/RIU with degradation of detection accuracy (DA), quality factor (QF), and figure of merit (FOM). To enhance the DA, QF, and FOM, a novel SPR is proposed with Si, which demonstrates a DA and QF of 69 and 1061.6RIU-1, which are 8.53 and 11.04 times, and an FOM of 554.58, which is 4.47 and 5.77 times higher than both the conventional and graphene-based SPR sensors, respectively.