Rapid Determination of Protein Contents in Microencapsulated Fish Oil Supplements by ATR-FTIR Spectroscopy and Partial Least Square Regression (PLSR) Analysis

详细信息    查看全文

• 作者：Jitraporn Vongsvivut (1)
  Philip Heraud (2)
  Wei Zhang (3)
  Jaroslav A. Kralovec (3)
  Don McNaughton (2)
  Colin J. Barrow (1)
  
• 关键词：Microencapsulated fish oil (μEFO) ; Protein ; Gelatin ; Attenuated total reflection Fourier transform infrared (ATR ; FTIR) spectroscopy ; Partial least square regression (PLSR)
• 刊名：Food and Bioprocess Technology
• 出版年：2014
• 出版时间：January 2014
• 年：2014
• 卷：7
• 期：1
• 页码：265-277
• 全文大小：582 KB
• 作者单位：Jitraporn Vongsvivut (1)
  Philip Heraud (2)
  Wei Zhang (3)
  Jaroslav A. Kralovec (3)
  Don McNaughton (2)
  Colin J. Barrow (1)
  
  1. Centre for Chemistry and Biotechnology (CCB), School of Life and Environmental Sciences, Deakin University, Pigdons Road, Waurn Ponds, Victoria, 3217, Australia
  2. Centre for Biospectroscopy, School of Chemistry, Monash University, Wellington Road, Clayton, Victoria, 3800, Australia
  3. Ocean Nutrition Canada Ltd, 101 Research Drive, Dartmouth, Nova Scotia, B2Y 4T6, Canada
  
• ISSN：1935-5149

文摘

Following the recent success in quantitative analysis of essential fatty acid compositions in a commercial microencapsulated fish oil (μEFO) 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 μEFO powders. In contrast to the traditional chromatographic methodology used in a routine amino acid analysis (AAA), the ATR-FTIR spectra of the μEFO 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 R 2--.9975, using standard μEFO powders with total protein contents in the range of 140-50?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 (R 2--.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 μEFO powders in the actual manufacturing setting.