• DocumentCode
    1704207
  • Title

    Discrimination of vegetable oils using monochromatic light

  • Author

    Sadat, Anwar

  • Author_Institution
    Electron. Eng. Dept., Aligarh Muslim Univ., Aligarh, India
  • fYear
    2013
  • Firstpage
    290
  • Lastpage
    292
  • Abstract
    This paper describes a simple and inexpensive method to characterize and differentiate edible oils including castor, olive, sunflower, mustard and groundnut oil. In this method monochromatic light at wavelength 635nm, 565nm, 470nm and 430nm is passed through the oil sample. Some of the incoming light is absorbed by the oil sample as a result, light of lower intensity pass through the oil. The amount of light pass through the oil is measured using electronic circuit. The result shows that at wavelength 635nm, 565nm, and 470nm the output are quite close to each other however, at 430nm wavelength the separation of all oil classes is good. This technique is very useful to rapidly classify vegetable oil sample also the avoidance of consumable reagents and of extensive sample pre-treatment make the possibility of performing the measurement in situ with a portable instrument.
  • Keywords
    spectrochemical analysis; vegetable oils; visible spectra; castor oil; edible oils; groundnut oil; monochromatic light; mustard oil; olive oil; sunflower oil; vegetable oil discrimination; wavelength 430 nm to 635 nm; Frequency control; Frequency measurement; Photoconducting materials; Resistance; Vegetable oils; Voltage control; Wavelength measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multimedia, Signal Processing and Communication Technologies (IMPACT), 2013 International Conference on
  • Conference_Location
    Aligarh
  • Print_ISBN
    978-1-4799-1202-5
  • Type

    conf

  • DOI
    10.1109/MSPCT.2013.6782138
  • Filename
    6782138