Analysis for Confinement Loss in Advance V-Shaped PCF Based Au-SPR Biosensor
Analysis of Physico-Chemical Parameters of River Thamirabarani at Thoothukudi District, Tamil Nadu
Recent Advances, Mechanisms and Multidisciplinary Engineering Applications of Shape Memory Alloys: A Review
A Review on the Thermal Behavior and Dehydroxylation Characteristics of Kaolin
Eco-Friendly Smart Materials for Sustainable Development
Investigation of Temperature Sensitive Electrical Properties of Manganese-Zinc Ferrites
Effect of TiO2 Modifier Oxide on a B2O3 Glass System
Synthesis, Structural Characterization and DC Conductivity Study of (PMMA+PEG) Polymer Blend Films
Erbium Rare-Earth Metal Schottky Contact to P-Type Si and its Temperature-Dependent Current-Voltage Characteristics
Study of Moderate Temperature Plasma Nitriding of Inconel 601 Alloy
Study of Moderate Temperature Plasma Nitriding of Inconel 601 Alloy
Exact Solution of an Unsteady Buoyancy Force Effects on MHD Free Convective Boundary Layer Flow of Non-Newtonian Jeffrey Fluid
Analysis for Confinement Loss in Advance V-Shaped PCF Based Au-SPR Biosensor
Analysis of Physico-Chemical Parameters of River Thamirabarani at Thoothukudi District, Tamil Nadu
Mapping and Forecasting the Land Surface Temperature in Response to the Land Use and Land Cover Changes using Machine Learning Over the Southernmost Municipal Corporation of Tamilnadu, India
This paper introduces an advanced V-shaped photonic crystal fiber (PCF)-based surface plasmon resonance (SPR) biosensor. Numerical analysis of the sensor is carried out using the finite element method (FEM) in COMSOL Multiphysics 6.2. This incorporation of a V-shaped geometry improves the coupling between the core-guided mode and the surface plasmon mode, leading to optimized wavelength sensitivity and minimized confinement loss. The proposed sensor design is capable of detecting the analytes within a refractive index range of 1.38 to 1.42, making it suitable for applications in biochemical and biological detection, including drug analysis, antigen-antibody interactions, and gas sensing.
In South India, the river 'Thamirabarani' serves as the principle source of water for drinking and agriculture purposes. With an increasing number of industries and pollution, especially in the lower reaches, concern over the water quality of the river began to be strongly felt. Thamirabarani originates from the Pothigai hills on the eastern slopes of the Western Ghats and drains its water into the Bay of Bengal at Punnakayal in the Gulf of Mannar. The present study has been carried out with a view to analyze the water quality of the river Thamirabarani. The water quality parameter of the river water was done by evaluating the physical and chemical characteristics of water samples taken at two locations from Nov 2024 to Feb 2025. The parameters such as pH, temperature, electrical conductivity, total dissolved solids, total alkalinity, total hardness, dissolved oxygen, carbon dioxide, calcium, magnesium, nitrite, phosphate, iron, chloride, sulfate, transparency, and productivity were determined. Mostly all parameters showed higher concentrations in station II than in station I.
Shape Memory Alloys (SMAs) are memory-enabled materials capable of remembering their original shape upon heating owing to the shape retention phenomenon. The shape memory effect originates from the reversible transformation between austenite and martensite phases. These alloys are biocompatible, meaning they cause no harmful reactions in the human body, and they are also lightweight, corrosion-resistant, and characterized by an excellent strength-to-weight ratio. SMAs have revolutionized applications in civil engineering, biomedical, industrial, aerospace, automotive, and robotics. This study critically examines the properties, history, recent advancements, material behavior, and frontier research areas, emphasizing their capability to address complex engineering problems and foster future technological advancements.
This review provides a complete overview of the thermogravimetric analysis (TGA) of kaolin, a naturally occurring aluminosilicate clay believed to have a million industrial applications, such as ceramics, cement, catalysts, and nanocomposites. These days, TGA is frequently employed in tandem with a number of other analytical modalities, such as DTA, FTIR, XRD, and TG-MS, to explore the thermally induced changes and transformations encountered in kaolin, among which thermally induced dehydroxylation is the most obvious. The TGA literature identifies four distinct thermal events, notably the Type B events described by Sergey Kuznetsov, which correspond to mass loss during the desorption of adsorbed water (generally below 200°C), major dehydroxylation (400–600°C), and the formation of mullite and other possible crystalline minerals (above 900°C). Regarding these thermal mass-loss events, the review examines whether the heating protocol supports non-isothermal methods such as Kissinger, Ozawa, and Coats-Redfern to determine activation energy and reaction mechanisms. In addition to and beyond structural or chemical changes, such as particle size reduction and acid and/or alkaline modification that can cause an altered response to thermal exposure, there are regional or mineralogical limitations of kaolinite samples, and similarly there will be variability in thermal decomposition. This review highlights only the findings from the most relevant ongoing and past studies to explore a broad perspective on the thermogravimetric behavior of kaolin and takes a significant step forward in recognizing TGA as an important tool for characterizing kaolin in both the academic and industrial contexts. Finally, this review identifies directions for future research, including the coupling of high-resolution TGA with evolved gas analysis and the implementation of kaolin- based engineering materials to improve resource sustainability.
A revolutionary class of materials, smart materials are naturally able to react dynamically to external stimuli like light, stress, temperature, pH, magnetic fields, and electric fields. These materials have the ability to control and reversibly alter their physical characteristics, such as shape, stiffness, viscosity, or conductivity. This makes them perfect for a wide range of cutting-edge applications in a number of industries, including wearable electronics, biomedical engineering, robotics, automotive, aerospace, and civil infrastructure. Rapid developments in nanotechnology and materials science have led to a major expansion in the design, synthesis, and integration of smart materials. An extensive review of the various types of smart materials, such as self-healing polymers, electrochromic and thermochromic materials, shape memory alloys, piezoelectric materials, and magnetorheological fluids, is given in this study. The discussion also covers their mechanics, recent advancements, and potential applications in emerging technologies. This study also addresses future trends and research approaches targeted at promoting intelligent and sustainable systems, as well as the difficulties related to smart materials, such as their scalability, durability, and cost-effectiveness.
