• DocumentCode
    189862
  • Title

    Using the Taguchi method to optimize the inspection equipment for human chorionic gonadotropin detection

  • Author

    Chia-Hsien Yeh ; Zi-Qi Zhao ; Yu-Cheng Lin ; Pi-Lan Shen

  • Author_Institution
    Eng. Sci., Nat. Cheng Kung Univ., Tainan, Taiwan
  • fYear
    2014
  • fDate
    2-5 Nov. 2014
  • Firstpage
    1125
  • Lastpage
    1127
  • Abstract
    This study successfully fabricated the optical inspection system for detecting the commercial human chorionic gonadotropin (hCG) strips (cut-off value of the hCG commercial product is 25 mIU/mL) and developed the detection model from qualitative to quantitative analysis. In order to achieve the better linearity and decrease the standard deviation (increase the signal to noise ratio, S/N), the Taguchi method was used to find the optimal parameters in the optical inspection system. The hCG strip was based on the lateral flow immunoassay, and the color of the test and control line was caused by the colloid-gold. Because of the sandwich model, the color of the colloid-gold in the test line was darkened by increased the hCG concentration. In the results, the S/N was increased from 43.48 to 53.38 dB, and the hCG concentration detection was from 6.25 to 50 mIU/mL (the standard deviation less than 10%). The optical inspection system had the optimal parameters to decrease the detection limit and increase the linearity by using the Taguchi method and could apply to detect various commercial products (e.g. KET, Troponin I, FABP, etc.).
  • Keywords
    Taguchi methods; bio-optics; obstetrics; optimisation; Taguchi method; colloid-gold; commercial hCG strips; commercial human chorionic gonadotropin strips; human chorionic gonadotropin detection; inspection equipment optimization; lateral flow immunoassay; optical inspection system; sandwich model; Adaptive optics; Inspection; Optical fiber sensors; Optical saturation; Standards; Strips;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SENSORS, 2014 IEEE
  • Conference_Location
    Valencia
  • Type

    conf

  • DOI
    10.1109/ICSENS.2014.6985204
  • Filename
    6985204