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IJSTR >> Volume 9 - Issue 8, August 2020 Edition



International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616



Near Infrared Technology And Multivariate Analysis Approach For A Rapid Authentication Of Patchouli Oil

[Full Text]

 

AUTHOR(S)

Zulfahrizal, Syaifullah Muhammad, Agus Arip Munawar, Tari Tarigan

 

KEYWORDS

NIR technology, patchouli oil, authentication, patchouli plant, detection, rapid.

 

ABSTRACT

The main objective of this present study is investigate the ability of near infrared technology combined with multivariate analysis for patchouli oil authentication. Crude patchouli oil was mixed with palm oil in different proportions: 75% crude patchouli oil: 25% palm oil, also 50%:50% of crude patchouli and palm oil respectively. Near infrared spectra data in form of absorbance spectrum were acquired in wavelength range from 1000 to 2500 nm with intervals of 2 nm. Classification models used to distinguish pure patchouli oil and its adulterations were established using principal component analysis (PCA) and linear discriminant analysis (LDA) with maximum 7 latent variables. The results showed that pure crude patchouli oil can distinguish pure patchouli oil and its adulterated ones. The maximum total variance for classification model is 94% with 2 principal components of PCA and 2 latent variables of LDA. The primary chemical properties of oil samples correspond to authentication are patchouli alcohol and fat content in wavelength range around 1378-1926 nm. Based on obtained results, it may conclude that near infrared technology in tandem with proper multivariate analysis is able to be used as a rapid and non-invasive method for patchouli oil authentications and adulterant detections.

 

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