Detection of Adulteration in Edible Oil Using FT-IR Spectroscopy and Machine Learning
S. A. Antora, M. N. Hossain, M. M. Rahman, M. A. Alim, M. Kamruzzaman
International Journal of Biochemistry Research & Review · pp. 1–14 · Published 22 May 2019
10.9734/ijbcrr/2019/v26i130085Abstract
Aims: To detect the adulterant in edible oil rapidly. Study Design: Authenticity and adulteration detection in edible oils are the increasing challenges for researchers, consumers, industries and regulatory agencies. Traditional approaches may not be the most effective option to combat against adulteration in edible oils as that’s are complex, laborious, expensive, require a high degree of technical knowledge when interpreting data and produce hazardous chemical. Consequently, a cost effective, rapid and reliable method is required. Place and Duration of the Study: The experiment was conducted jointly in the laboratory of the Department of Food Technology and Rural Industries, Bangladesh Agricultural University, Mymensingh and the Institute of Food Science and Technology, BCSIR, Dhaka. Methods: In this study, Fourier Transform Infrared spectroscopy coupled with multivariate analysis was used for adulteration detection in sunflower and rice bran oil. Sunflower oil was adulterated with soybean oil in the range of 10-50% (v/v) and rice bran oil was adulterated with palm oil in the range of 4-40% (v/v) at approximately 10% and 5% increments respectively. FTIR spectra were recorded in the wavenumber range of 4000-650cm-1. Results: FTIR spectra data in the whole spectral range and reduced spectral range were used to develop a partial least square regression (PLSR) model to predict the level of adulteration in sunflower and palm oils. Good prediction model was obtained for all PLSR models with a coefficient of determination (R2) of >= 0.985 and root mean square errors of calibration (RMSEC) in the range of 0-1.7325%. Conclusion: The result suggested that FTIR spectroscopy associated with multivariate analysis has the great potential for a rapid and non-destructive detection of adulteration in edible oils laborious conventional analytical techniques.
References (25)
- 1 PLS-regression: a basic tool of chemometrics [DOI]
- 2 Partial least-squares regression: a tutorial [DOI]
- 3 Fourier transform infrared (FTIR) spectroscopy for analysis of extra virgin olive oil adulterated with palm oil [DOI]
- 4 Fingerprinting food: current technologies for the detection of food adulteration and contamination [DOI]
- 5 The Detection and Quantification of Adulteration in Olive Oil by Near-Infrared Spectroscopy and Chemometrics [DOI]
- 6 Rapid and non-destructive detection of chicken adulteration in minced beef using visible near-infrared hyperspectral imaging and machine learning [DOI]
- 7 Authentication of Olive Oil Adulterated with Vegetable Oils Using Fourier Transform Infrared Spectroscopy [DOI]
- 8 Detecting Sirex noctilio grey-attacked and lightning-struck pine trees using airborne hyperspectral data, random forest and support vector machines classifiers [DOI]
- 9 Detection of the Presence of Hazelnut Oil in Olive Oil by FT-Raman and FT-MIR Spectroscopy [DOI]
- 10 Authentication of edible vegetable oils adulterated with used frying oil by Fourier Transform Infrared Spectroscopy [DOI]
- 11 A novel chemometric strategy for the estimation of extra virgin olive oil adulteration with edible oils [DOI]
- 12 Assessment of Visible Near-Infrared Hyperspectral Imaging as a Tool for Detection of Horsemeat Adulteration in Minced Beef [DOI]
- 13 Quantification of Carboxylic and Carbonyl Functional Groups in Organic Aerosol Infrared Absorbance Spectra [DOI]
- 14 The use of Fourier transform mid infrared (FT-MIR) spectroscopy for detection and quantification of adulteration in virgin coconut oil [DOI]
- 15 Identification of cattle, llama and horse meat by near infrared reflectance or transflectance spectroscopy [DOI]
- 16 Detection of Olive Oil Adulteration Using FT‐IR Spectroscopy and PLS with Variable Importance of Projection (VIP) Scores [DOI]
- 17 Detection of adulterants in avocado oil by Mid-FTIR spectroscopy and multivariate analysis [DOI]
- 18 Comparison and joint use of near infrared spectroscopy and Fourier transform mid infrared spectroscopy for the determination of wine parameters [DOI]
- 19 Organic aerosol characterization by complementary measurements of chemical bonds and molecular fragments [DOI]
- 20 Detection of adulteration in fresh and frozen beefburger products by beef offal using mid-infrared ATR spectroscopy and multivariate data analysis [DOI]
- 21 Fatty acid profiles based adulteration detection for flaxseed oil by gas chromatography mass spectrometry [DOI]
- 22 Multivariate data analysis as a tool in advanced quality monitoring in the food production chain [DOI]
- 23 Species authentication of octopus, cuttlefish, bobtail and bottle squids (families Octopodidae, Sepiidae and Sepiolidae) by FINS methodology in seafoods [DOI]
- 24 Classification of Edible Oils and Uncovering Adulteration of Virgin Olive Oil Using FTIR with the Aid of Chemometrics
- 25 A History of Food Adulteration and Analysis
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