2010
DOI: 10.1039/c0an00261e
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Detection and quantification of adulteration in sandalwood oil through near infrared spectroscopy

Abstract: The confirmation of authenticity of essential oils and the detection of adulteration are problems of increasing importance in the perfumes, pharmaceutical, flavor and fragrance industries. This is especially true for 'value added' products like sandalwood oil. A methodical study is conducted here to demonstrate the potential use of Near Infrared (NIR) spectroscopy along with multivariate calibration models like principal component regression (PCR) and partial least square regression (PLSR) as rapid analytical … Show more

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Cited by 28 publications
(13 citation statements)
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“…The digital images were obtained from a commercial table scanner, and two examples were illustrated using liquid cow milk: (1) water addition for volume gain and (2) NaOH addition in sour milk. Regression models were established for water concentration determination, and the results were compared with near-infrared (NIR) spectroscopy, which was used as a reference technique due to the fact that it has been successfully applied for adulteration determination in several contributions reported in the literature (Gayo et al 2006;Gayo and Hale 2007;Kuriakose et al 2010;Xie et al 2008), and one of them was related to milk adulteration with water (Kasemsumran et al 2007) and with other adulterants such as NaOH (Jha and Matsuoka 2004).…”
Section: Introductionmentioning
confidence: 99%
“…The digital images were obtained from a commercial table scanner, and two examples were illustrated using liquid cow milk: (1) water addition for volume gain and (2) NaOH addition in sour milk. Regression models were established for water concentration determination, and the results were compared with near-infrared (NIR) spectroscopy, which was used as a reference technique due to the fact that it has been successfully applied for adulteration determination in several contributions reported in the literature (Gayo et al 2006;Gayo and Hale 2007;Kuriakose et al 2010;Xie et al 2008), and one of them was related to milk adulteration with water (Kasemsumran et al 2007) and with other adulterants such as NaOH (Jha and Matsuoka 2004).…”
Section: Introductionmentioning
confidence: 99%
“…However, because the RMSECV is determined from the cross-validation experiment, in which the test samples were not used to build the model that was used to test them, this value can actually increase as too many latent variables are added to the model. The optimal number of latent variables is typically the number at which the addition of another latent variable does not greatly improve the performance of the model and where there is less than a 10% difference between the RMSEC and RMSECV values [11,[24][25][26]. Based on this plot, a total of five LVs may be used without overfitting.…”
Section: Resultsmentioning
confidence: 98%
“…These proposed researches were based on the classification of samples with various chemical constituents. In our previous study, we have developed two reliable, accurate and non-destructive models -principal component regression (PCR) and partial least square regression (PLSR) models -to detect and quantify caster oil adulteration in pure sandalwood oil through near infrared spectral data collected from blended sandal oil samples (Kuriakose, Thankappan, Joe, & Venkataraman, 2010).…”
Section: Introductionmentioning
confidence: 99%