Analysis of Lard in Lipstick Formulation Using FTIR Spectroscopy and Multivariate Calibration: A Comparison of Three Extraction Methods

Waskitho, Dri; Lukitaningsih, Endang; Sudjadi,; Rohman, Abdul

doi:10.5650/jos.ess15294

Cited by 13 publications

(2 citation statements)

References 19 publications

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“…e lard, pure palm olein oil, and the adulterated olein oil at 20% and 50% were analysed. e samples were agitated with a vortex mixer (VELP Scientifica Model ZX4) for 1 minute to ensure homogeneity [1,17,18].…”

Section: Sample Preparationmentioning

confidence: 99%

Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)

Sim

Chai

Kimura

2018

Journal of Chemistry

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Fourier-transform infrared (FTIR) offers the advantages of rapid analysis with minimal sample preparation. FTIR in combination with multivariate approach, particularly partial least squares regression (PLSR), has been widely used for adulterant analysis. Limited study has been done to compare PLSR with other regression strategies. In this paper, we apply simple linear regression (SLR), multiple linear regression (MLR), and PLSR for prediction of lard in palm olein oil. Pure palm olein oil was adulterated with lard at different concentrations and subjected to analysis with FTIR. The marker bands distinguishing lard and palm olein oil were determined using Fisher’s weights. The marker regions were then subjected to regression analysis with the models verified based on 100 training/test sets. The prediction performance was measured based on the percentage root mean square error (%RMSE). The absorption bands at 3006 cm−1, 2852 cm−1, 1117 cm−1, 1236 cm−1, and 1159 cm−1 were identified as the marker bands. The bands at 3006 and 1117 cm−1 were found with satisfactory predictive ability, with PLSR demonstrating better prediction yielding %RMSE of 16.03 and 13.26%, respectively.

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Section: Sample Preparationmentioning

confidence: 99%

Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)

Sim

Chai

Kimura

2018

Journal of Chemistry

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“…Lot of work has been reported on the analysis of different types of cosmetic products such as lipsticks , eye products (eye shadow, black eye pencil, kajal) , lip glosses , creams , and cosmetic powders using infrared spectroscopic techniques. To the best of author’s knowledge, only one article (Gordon and Coulson, 2004) has been published regarding the identification and differentiation of foundation samples as forensic evidence.…”

mentioning

confidence: 99%

Differentiation of Cosmetic Foundation Creams Using Attenuated Total Reflection Fourier‐Transform Infrared Spectroscopy: A Rapid and NonDestructive Approach in Trace Evidence Analysis

Sharma

Chophi

Kaur

et al. 2019

Journal of Forensic Sciences

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Cosmetic foundation creams are encountered as evidentiary material in criminal investigations, particularly in cases related to sexual and physical assault against women. Analyzing foundation cream exhibit is a challenging task as the exhibit is recovered in trace quantity with similar hue. In the present study, ATR FTIR spectroscopy which is a rapid, nondestructive, sensitive, reliable, and safe alternative to other analytical techniques has been used to differentiate 31 cosmetic foundation creams belonging to 23 different brands supported by chemometric methods such as principal component analysis (PCA) and linear discriminant analysis (LDA). The discriminating power of visual analysis is found to be 98.0%, while PCA and LDA further increased the discriminating power to 99.3% and 100%, respectively. The blind test is conducted with three unknown samples (pretended to be unknown to the analyst), which were correctly linked with their respective source. Further, the effect of substrate such as tissue paper (dry and wet) and white cotton cloth during sample analysis are also examined to simulate the actual forensic casework conditions. The stains on substrates could be identified and linked to its parent product as well. The reported method provides significant results for the differentiation of cosmetic foundation creams.

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Application of Spectroscopic and Chromatographic Methods for the Analysis of Non-halal Meats in Food Products

Rohman

Fadzillah

2021

Multifaceted Protocols in Biotechnology, Volume 2

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Analysis of Lard in Lipstick Formulation Using FTIR Spectroscopy and Multivariate Calibration: A Comparison of Three Extraction Methods

Cited by 13 publications

References 19 publications

Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)

Prediction of Lard in Palm Olein Oil Using Simple Linear Regression (SLR), Multiple Linear Regression (MLR), and Partial Least Squares Regression (PLSR) Based on Fourier-Transform Infrared (FTIR)

Differentiation of Cosmetic Foundation Creams Using Attenuated Total Reflection Fourier‐Transform Infrared Spectroscopy: A Rapid and NonDestructive Approach in Trace Evidence Analysis

Application of Spectroscopic and Chromatographic Methods for the Analysis of Non-halal Meats in Food Products

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