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Analysis of biodiesel quality based on infrared spectroscopy and multivariate statistics

적외선 분광분석과 다변량 통계에 기반한 바이오디젤 품질분석

  • Kim, Hye-Sil (Department of Chemical Engineering, Pukyong National University) ;
  • Cho, Hyun-Woo (Department of Industrial & Management Engineering, Daegu University) ;
  • Liu, J. Jay (Department of Chemical Engineering, Pukyong National University)
  • 김혜실 (부경대학교 화학공학과) ;
  • 조현우 (대구대학교 산업경영공학과) ;
  • 유준 (부경대학교 화학공학과)
  • Received : 2012.02.20
  • Accepted : 2012.07.09
  • Published : 2012.08.25

Abstract

ASTM (American Society for Testing and Materials) D6751-10 suggests analytical methods as well as specifications for biodiesel quality. However, it is expensive and time-consuming to follow the ASTM testing methods to analyze biodiesel and various impurities. This paper develops a quantitative analysis system for biodiesel and impurities based on Infrared spectroscopy and a multivariate statistical method, PLS (partial least squares). In addition, four different pre-processing techniques were compared for spectrum correction and noise reduction. Savitzky-Golay pre-processing showed the best performance.

Keywords

biodiesel;multivariate calibration;infrared spectroscopy;spectrum pre-processing;Savitzky-Golay method

Acknowledgement

Supported by : 부경대학교

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