TY - JOUR
T1 - Quantitative determination of fatty acid compositions in micro-encapsulated fish-oil supplements using Fourier transform infrared (FTIR) spectroscopy
AU - Vongsvivut, Jitraporn
AU - Heraud, Philip Robert
AU - Zhang, Wei
AU - Kralovec, Jaroslav A
AU - McNaughton, Donald
AU - Barrow, Colin J
PY - 2012
Y1 - 2012
N2 - The research describes a rapid method for the determination of fatty acid (FA) contents in a micro-encapsulated fish-oil (mu EFO) supplement by using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopic technique and partial least square regression (PLSR) analysis. Using the ATR-FTIR technique, the mu EFO powder samples can be directly analysed without any pre-treatment required, and our developed PLSR strategic approach based on the acquired spectral data led to production of a good linear calibration with R-2 = 0.99. In addition, the subsequent predictions acquired from an independent validation set for the target FA compositions (i.e., total oil, total omega-3 fatty acids, EPA and DHA) were highly accurate when compared to the actual values obtained from standard GC-based technique, with plots between predicted versus actual values resulting in excellent linear fitting (R-2 >= 0.96) in all cases. The study therefore demonstrated not only the substantial advantage of the ATR-FTIR technique in terms of rapidness and cost effectiveness, but also its potential application as a rapid, potentially automated, online monitoring technique for the routine analysis of FA composition in industrial processes when used together with the multivariate data analysis modelling.
AB - The research describes a rapid method for the determination of fatty acid (FA) contents in a micro-encapsulated fish-oil (mu EFO) supplement by using attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopic technique and partial least square regression (PLSR) analysis. Using the ATR-FTIR technique, the mu EFO powder samples can be directly analysed without any pre-treatment required, and our developed PLSR strategic approach based on the acquired spectral data led to production of a good linear calibration with R-2 = 0.99. In addition, the subsequent predictions acquired from an independent validation set for the target FA compositions (i.e., total oil, total omega-3 fatty acids, EPA and DHA) were highly accurate when compared to the actual values obtained from standard GC-based technique, with plots between predicted versus actual values resulting in excellent linear fitting (R-2 >= 0.96) in all cases. The study therefore demonstrated not only the substantial advantage of the ATR-FTIR technique in terms of rapidness and cost effectiveness, but also its potential application as a rapid, potentially automated, online monitoring technique for the routine analysis of FA composition in industrial processes when used together with the multivariate data analysis modelling.
UR - http://www.sciencedirect.com/science/article/pii/S0308814612008333
U2 - 10.1016/j.foodchem.2012.05.012
DO - 10.1016/j.foodchem.2012.05.012
M3 - Article
SN - 0308-8146
VL - 135
SP - 603
EP - 609
JO - Food Chemistry
JF - Food Chemistry
IS - 2
ER -