23 research outputs found

    Strategies for Multiplexed Electrochemical Sensor Development

    Get PDF
    Detection of multiple biomarkers for disease diagnosis or treatment monitoring has received a lot of attention due to their potential impact on clinical decision making. Electrochemical biosensors have become one of the preferred detection approaches, due to the simplicity of the accompanying instrumentation. This chapter will explore how electrochemical sensors can be utilized for detection of multiple analytes by integration of sensors into microfluidic microsystems. Some key fabrication technologies for such devices will be presented utilizing polymer microfabrication, paper-based approaches, and the use of printed circuit boards. Next, the use of electrode arrays will be presented along with some commercial platforms, outlining plausible paths towards a successful electrochemical multiplexed sensor. Novel approaches based on microbeads and various labels will then be introduced along with various strategies and technologies utilized to achieve ultrasensitive multiplexed detection

    Study of surface roughness in squeeze casting LM6 aluminium alloy using Taguchi method

    No full text
    7-11Squeeze casting combines the strength and integrity of forging with the economy and design flexibility of casting to produce components with better surface finish. The primary aim of this study was to analyze the influence of the process parameters on surface roughness in squeeze casting of LM6 aluminium alloy using Taguchi method. A three level orthogonal array L₉ (3⁴) was used to determine the S/N ratio (dB), and analysis of variance (ANOVA). The most significant process parameters affecting the surface roughness were identified using F test. The results indicated that squeeze pressure and die pre-heating temperature were the parameters responsible for causing appreciable improvement in the surface finish of the squeeze cast components

    Optimization of the Investment Casting Process Using Genetic Algorithm

    No full text
    corecore