Authentication analysis of milkfish fish oil using the combination of FTIR spectroscopy and chemometrics

乳鱼 化学计量学 偏最小二乘回归 数学 化学 校准 分析化学(期刊) 色谱法 统计 渔业 生物 水产养殖
作者
Mabrurotul Mustafidah,Irnawati Irnawati,Endang Lukitaningsih,Abdul Rohman
出处
期刊:Food Research [Rynnye Lyan Resources]
卷期号:5 (2): 272-278 被引量:1
标识
DOI:10.26656/fr.2017.5(2).607
摘要

Milkfish (Chanos chanos) is one of the highest-produced fish in Indonesia. Milkfish fish oil (MFO), extracted from milkfish, contains essential fatty acids and has a high price in the market, therefore MFO can be a target of adulteration. The objective of this study was to perform an authentication analysis of MFO from palm oil using FTIR spectroscopy and chemometrics. MFO was extracted from the head and flesh of milkfish and the obtained MFO was mixed with palm oil (PO) in binary mixtures to get the adulteration model of MFO with PO. All samples were scanned using ATR-FTIR at wavenumbers of 4000-650 cm-1 . Classification between authentic MFO and adulterated MFO with PO was carried out using discriminant analysis. The quantitative analysis of MFO adulterated with PO was carried out with PLSR (Partial Least Square regression) using first derivative spectra with wavenumbers of 3100-670 cm-1 . The R2 values for the correlation between the actual and predicted values in the calibration and validation of MFO were 0.9999 and 0.9994 (MFO extracted from the head) and 0.9997 and 0.9992 (MFO extracted from flesh), respectively. In addition, RMSE (root mean square errors) values of the calibration and prediction of milkfish head oil were 0.0032% and 0.0106%, while MFO extracted from the flesh was 0.0080% and 0.0123%. It can be concluded that FTIR spectroscopy combined with PLSR could be reliable for the prediction of MFO in a binary mixture with palm oil.
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