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Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy

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Abstract

We try to develop a new measurement method for cleanliness evaluation of inner surface of narrow tubule.In this measurement method, we use the infrared spectroscopy and the partial least squares regression (PLSR).The absorption spectrum is measured by using fiber probe and cone mirror.We measure the spectra of the known amount of dirt.We build a calibration curve using these spectra and the PLSR.Next, we measured spectrum of inner surface of narrow tubule, and calculates the amount of remaining this dirt by the calibration curve.This method can be measured in a non-contact and non-destructive.This method can identify the remaining position and the type and amount of dirt.In this paper, we propose this measurement method as new cleanliness evaluation method has overcome the problems that exist in the cleanliness evaluation.

DOI 10.11648/j.optics.20130201.14
Published in Optics (Volume 2, Issue 1, February 2013)
Page(s) 25-31
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Cleanness Evaluation, IR Spectroscopy, Optical Fiber Probe And Cone Mirror, Inner Surface Of Narrow Tubule, Remaining Dirt

References
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[5] B. M. Andersen, K.Hochlin and J. P.Daling, Cleaning and Decontamination of Reusable Medical Equipments,Including the use of Hydrogen peroxide Gas Decontamination, J Mi-crobial BiochemTechnol, vol. 4(2), 2012, pp. 057-062.
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[9] M. Shimizu, S. Nakata, R. Fushimi, A. Mizutani, S. Noguchi, M. Monden, Y. Isaka and S. Uraoka, Development of the High Sensitivity Measurement Method for Checking Cleanliness of Medical Instruments, Japanese society of Medical Instrumentation, vol.75, No.1, 2005, pp.28-33.
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[13] D. M. Haaland and E. V. Thomas, Partial LeastSquares Me-thods for Spectral Analyses. 1, Relation to Other Quantitative Calibration Methods and the Extraction of Qualitative Information, Analytical Chemistry, vol. 60, No. 11, 1988.
[14] S. Wold, A. Ruhe, H. Wold, and W. J. Dunn, The Collinearity Problem in Linear Regression, The Partial Least Squares (PLS) Approach to Generalized Inverses, SIAM J Sci Stat Comput, 5, 1984, pp. 735–743.
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Author Information
  • Dept. of Faculty of Textile Science and Technology, Shinshu University, Nagano, Japan

  • Dept. of Faculty of Textile Science and Technology, Shinshu University, Nagano, Japan

  • Dept. of Faculty of Textile Science and Technology, Shinshu University, Nagano, Japan

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  • APA Style

    Shouhei Koyama, Yuki Miyauchi, Hiroaki Ishizawa. (2013). Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy. Optics, 2(1), 25-31. https://doi.org/10.11648/j.optics.20130201.14

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    ACS Style

    Shouhei Koyama; Yuki Miyauchi; Hiroaki Ishizawa. Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy. Optics. 2013, 2(1), 25-31. doi: 10.11648/j.optics.20130201.14

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    AMA Style

    Shouhei Koyama, Yuki Miyauchi, Hiroaki Ishizawa. Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy. Optics. 2013;2(1):25-31. doi: 10.11648/j.optics.20130201.14

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  • @article{10.11648/j.optics.20130201.14,
      author = {Shouhei Koyama and Yuki Miyauchi and Hiroaki Ishizawa},
      title = {Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy},
      journal = {Optics},
      volume = {2},
      number = {1},
      pages = {25-31},
      doi = {10.11648/j.optics.20130201.14},
      url = {https://doi.org/10.11648/j.optics.20130201.14},
      eprint = {https://download.sciencepg.com/pdf/10.11648.j.optics.20130201.14},
      abstract = {We try to develop a new measurement method for cleanliness evaluation of inner surface of narrow tubule.In this measurement method, we use the infrared spectroscopy and the partial least squares regression (PLSR).The absorption spectrum is measured by using fiber probe and cone mirror.We measure the spectra of the known amount of dirt.We build a calibration curve using these spectra and the PLSR.Next, we measured spectrum of inner surface of narrow tubule, and calculates the amount of remaining this dirt by the calibration curve.This method can be measured in a non-contact and non-destructive.This method can identify the remaining position and the type and amount of dirt.In this paper, we propose this measurement method as new cleanliness evaluation method has overcome the problems that exist in the cleanliness evaluation.},
     year = {2013}
    }
    

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  • TY  - JOUR
    T1  - Cleanness Evaluation Method of Remaining Dirt on Inner Surface of Narrow Tubule by IR Spectroscopy
    AU  - Shouhei Koyama
    AU  - Yuki Miyauchi
    AU  - Hiroaki Ishizawa
    Y1  - 2013/02/20
    PY  - 2013
    N1  - https://doi.org/10.11648/j.optics.20130201.14
    DO  - 10.11648/j.optics.20130201.14
    T2  - Optics
    JF  - Optics
    JO  - Optics
    SP  - 25
    EP  - 31
    PB  - Science Publishing Group
    SN  - 2328-7810
    UR  - https://doi.org/10.11648/j.optics.20130201.14
    AB  - We try to develop a new measurement method for cleanliness evaluation of inner surface of narrow tubule.In this measurement method, we use the infrared spectroscopy and the partial least squares regression (PLSR).The absorption spectrum is measured by using fiber probe and cone mirror.We measure the spectra of the known amount of dirt.We build a calibration curve using these spectra and the PLSR.Next, we measured spectrum of inner surface of narrow tubule, and calculates the amount of remaining this dirt by the calibration curve.This method can be measured in a non-contact and non-destructive.This method can identify the remaining position and the type and amount of dirt.In this paper, we propose this measurement method as new cleanliness evaluation method has overcome the problems that exist in the cleanliness evaluation.
    VL  - 2
    IS  - 1
    ER  - 

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