Trachu, Koson

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Trachu, Koson
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koson.tr@kmitl.ac.th

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    Item type:Publication,
    Detection of Zinc Ions Using a Fluorescent Compound Derived from a Cyanoacrylic Acid-based Chemosensor
    (2025-01-01)
    Thanakit, Prawonwan
    ;
    Puengvigrai, Supakorn
    ;
    Khummung, Teeranuch
    ;
    Suramitr, Songwut
    ;
    Trachu, Koson
    This study was initially conducted through the synthesis and characterization of a cyanoacrylic acid based on thiophene-phenylethyl-cyanoacrylic acid (TPC). The receptor cyanoacrylic acid derivative revealed an “off-on” mode with high selectivity and sensitivity to Zn2+ ions, whereas the selectivity of the optical sensor for Zn2+ ions was the consequence of chelation-enhanced fluorescence. The possible interference of other metal ions in solution was examined in the presence of different types of metal ion, whereby the results showed high selectivity and sensitivity with a low detection limit of 7.78 × 10-8 M. Furthermore, the geometry of the TPC molecular structure and electronic properties were examined using density functional theory and time-dependent density functional theory. A comparison between calculation and experimental data yielded results indicating that the compound has potential applications in chemosensors.
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    Item type:Publication,
    Real-time GPS receiver bias estimation
    (2021-09-01)
    Kenpankho, Prasert
    ;
    Chaichana, Amornchai
    ;
    Trachu, Koson
    ;
    Supnithi, Pornchai
    ;
    Hozumi, Kornyanat
    In this paper, we present the new method for real-time GPS receiver bias estimation by using Lagrange interpolation, which is also compared to the two current methods, polynomial and minimization of standard deviation. The estimated method is proposed to reduce the complexity and time of the GPS receiver bias estimation. Lagrange interpolation is the method to find the derivatives and integrals of discrete functions in GPS receiver bias data. The test site is located on Chumphon station, Thailand. The test period of data method is during the year 2004–2019. In the quiet and disturbed days, the polynomial method gives the highest value of the GPS receiver bias at −5.75 ns and −4.25 ns, respectively, but the Lagrange interpolation shows the lowest value of GPS receiver bias at −6.85 ns and −5.25 ns, in order. The results and comparisons among the polynomial GPS receiver bias method, the minimization of standard deviation of GPS receiver bias method, and Lagrange interpolation method show that the calculated time for Lagrange interpolation is shorter compared to other methods and it can be given more time points for finding GPS receiver biases than others.