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Microfluidic Paper-Based Analytical Devices for Glucose Detection
Published in Raju Khan, Chetna Dhand, S. K. Sanghi, Shabi Thankaraj Salammal, A. B. P. Mishra, Advanced Microfluidics-Based Point-of-Care Diagnostics, 2022
Shristi Handa, Vibhav Katoch, Bhanu Prakash
A combination of chemical luminescence and electrochemical techniques forms an electro-chemiluminescence (ECL) detection system. This technique results in the generation of light and has been integrated with paper-based microfluidic devices. ECL has numerous advantages, such as better sensitivity and an increased dynamic concentration-response range. It also has some prominent features, such as the requirement of smaller sample volumes, lack of a light source, and simple instrumentation. ECL is most widely used in clinical diagnosis. More than 150 different immunoassays are available on the market for detecting tumor markers and treating thyroid disease and various infectious diseases.
Electronic Components
Published in Michael Pecht, Handbook of Electronic Package Design, 2018
Denise Burkus Harris, Michael Pecht, Pradeep Lall
ECL is used for instrumentation, high-speed counters, military systems, aerospace and communications satellite systems, ground support systems, digital communication systems, data transmission frequency synthesizers, phase array radars, and high-speed memories.
Hardware Technologies
Published in Sajjan G. Shiva, Introduction to Logic Design, 2018
ECL circuits have a typical fan-out of 20. Because of their high operating speed, care must be taken to reduce the line reflections in external connections when two or more ECL ICs are used in a circuit, especially when the line length exceeds a few centimeters. Special packaging and housing of ECL circuits is needed because of their high power dissipation.
Entropy-based adaptive design for contour finding and estimating reliability
Published in Journal of Quality Technology, 2023
D. Austin Cole, Robert B. Gramacy, James E. Warner, Geoffrey F. Bomarito, Patrick E. Leser, William P. Leser
Table 2 summarizes average computation time to build one full sequential design for each method. The timings include acquisition efforts and subsequent GP updating. Scripts for ECL, ECL.b, and CLoVER are in Python and the rest are in R. Note the speed at which ECL and ECL.b adaptive designs are built, especially compared to methods using numerical quadrature (CLoVER, SUR, and tIMSE). ECL provides between one and two orders of magnitude speedup. Using a batch size of 10 cuts the average computation time of ECL by five for the Hartmann-6 experiment, while still providing designs with similar sensitivity and volume error.