Rapid determination of protein contents in microencapsulated fish oil supplements by ATR-FTIR spectroscopy and partial least square regression (PLSR) analysis

Vongsvivut, Jitraporn, Heraud, Philip, Zhang, Wei, Kralovec, Jaroslav A., McNaughton, Don and Barrow, Colin J. 2014, Rapid determination of protein contents in microencapsulated fish oil supplements by ATR-FTIR spectroscopy and partial least square regression (PLSR) analysis, Food and bioprocess technology, vol. 7, pp. 265-277.

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Title Rapid determination of protein contents in microencapsulated fish oil supplements by ATR-FTIR spectroscopy and partial least square regression (PLSR) analysis
Author(s) Vongsvivut, Jitraporn
Heraud, Philip
Zhang, Wei
Kralovec, Jaroslav A.
McNaughton, Don
Barrow, Colin J.
Journal name Food and bioprocess technology
Volume number 7
Start page 265
End page 277
Total pages 13
Publisher Springer
Place of publication Berlin, Germany
Publication date 2014
ISSN 1935-5149
1935-5130
Keyword(s) attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy
gelatin
microencapsulated fish oil (?EFO)
partial least square regression (PLSR)
protein
Summary Following the recent success in quantitative analysis of essential fatty acid compositions in a commercial microencapsulated fish oil (?EFO) supplement, we extended the application of portable attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopic technique and partial least square regression (PLSR) analysis for rapid determination of total protein contents-the other major component in most commercial ?EFO powders. In contrast to the traditional chromatographic methodology used in a routine amino acid analysis (AAA), the ATR-FTIR spectra of the ?EFO powder can be acquired directly from its original powder form with no requirement of any sample preparation, making the technique exceptionally fast, noninvasive, and environmentally friendly as well as being cost effective and hence eminently suitable for routine use by industry. By optimizing the spectral region of interest and number of latent factors through the developed PLSR strategy, a good linear calibration model was produced as indicated by an excellent value of coefficient of determination R2 = 0.9975, using standard ?EFO powders with total protein contents in the range of 140-450 mg/g. The prediction of the protein contents acquired from an independent validation set through the optimized PLSR model was highly accurate as evidenced through (1) a good linear fitting (R2 = 0.9759) in the plot of predicted versus reference values, which were obtained from a standard AAA method, (2) lowest root mean square error of prediction (11.64 mg/g), and (3) high residual predictive deviation (6.83) ranked in very good level of predictive quality indicating high robustness and good predictive performance of the achieved PLSR calibration model. The study therefore demonstrated the potential application of the portable ATR-FTIR technique when used together with PLSR analysis for rapid online monitoring of the two major components (i.e., oil and protein contents) in finished ?EFO powders in the actual manufacturing setting.
Language eng
Field of Research 100304 Industrial Biotechnology Diagnostics (incl Biosensors)
Socio Economic Objective 970110 Expanding Knowledge in Technology
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2013, Springer
Persistent URL http://hdl.handle.net/10536/DRO/DU:30055370

Document type: Journal Article
Collection: School of Life and Environmental Sciences
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