Quantitative determination of fatty acid compositions in micro-encapsulated fish-oil supplements using Fourier transform infrared (FTIR) spectroscopy

Vongsvivut, Jitraporn; Heraud, Philip; Zhang, Wei; Kralovec, Jaroslav A.; McNaughton, Donald; Barrow, Colin J.

doi:10.1016/j.foodchem.2012.05.012

Cited by 94 publications

(68 citation statements)

References 18 publications

(17 reference statements)

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“…Further, thẽ 8-fold difference in carbon productivity rates between cells from the sea-ice and pelagic treatments is almost identical to that measured by Boyd et al (1995), where carbon productivity rates in sea-ice algae were eight times lower than those in the surrounding water column. Together, this evidence (Vongsvivut et al, 2012) 3000-2800 ν(C-H) mainly from methyl groups from proteins and methylene groups from saturated fatty acids (Coates, 2000) 3015 (C = C-H) from unsaturated fatty acids (Coates, 2000) a ν as , asymmetric stretch; ν s , symmetric stretch; δas, asymmetric deformation (bend); δs, symmetric deformation (bend).…”

Section: Discussionmentioning

confidence: 68%

Snapshot prediction of carbon productivity, carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy

et al. 2015

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Diatoms, an important group of phytoplankton, bloom annually in the Southern Ocean, covering thousands of square kilometers and dominating the region's phytoplankton communities. In their role as the major food source to marine grazers, diatoms supply carbon, nutrients and energy to the Southern Ocean food web. Prevailing environmental conditions influence diatom phenotypic traits (for example, photophysiology, macromolecular composition and morphology), which in turn affect the transfer of energy, carbon and nutrients to grazers and higher trophic levels, as well as oceanic biogeochemical cycles. The paucity of phenotypic data on Southern Ocean phytoplankton limits our understanding of the ecosystem and how it may respond to future environmental change. Here we used a novel approach to create a 'snapshot' of cell phenotype. Using mass spectrometry, we measured nitrogen (a proxy for protein), total carbon and carbon-13 enrichment (carbon productivity), then used this data to build spectroscopy-based predictive models. The models were used to provide phenotypic data for samples from a third sample set. Importantly, this approach enabled the first ever rate determination of carbon productivity from a single time point, circumventing the need for timeseries measurements. This study showed that Chaetoceros simplex was less productive and had lower protein and carbon content during short-term periods of high salinity. Applying this new phenomics approach to natural phytoplankton samples could provide valuable insight into understanding phytoplankton productivity and function in the marine system.

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Section: Discussionmentioning

confidence: 68%

Snapshot prediction of carbon productivity, carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy

et al. 2015

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“…Figure 3 shows the comparison of the ATR-FTIR spectral features of the raw unfermented BC, the static fermented 1% BC and glucose fermented cells. In particular, the olefinic C=CH stretching vibration found at ~3014 cm −1 is commonly known as a representative band for unsaturated fatty acids [28,29]. This band is clearly observed in the freeze-dried cells that were grown in 1% concentration of BC under static fermentation and with glucose, suggesting that observable amounts of unsaturated fatty acids were produced in the cells grown by both fermentation methods.…”

Section: Resultsmentioning

confidence: 99%

“…At the low wavenumber region, the strong bands centered at 1650 and 1545 cm −1 , known as amide I and II bands, respectively, occurred due to the protein moieties in the BC and the cells. The sharp band at 1725 cm −1 , on the other hand, represents ν(C=O) stretches of ester functional groups from lipids and fatty acids, and is therefore indicative of total lipids produced by the cells [28,29,30]. According to the intensities of this band, fermentation with glucose led to a substantially higher amount of total lipids produced in the microorganisms.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of Bread Crumbs as a Potential Carbon Source for the Growth of Thraustochytrid Species for Oil and Omega-3 Production

et al. 2014

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The utilization of food waste by microorganisms to produce omega-3 fatty acids or biofuel is a potentially low cost method with positive environmental benefits. In the present study, the marine microorganisms Thraustochytrium sp. AH-2 and Schizochytrium sp. SR21 were used to evaluate the potential of breadcrumbs as an alternate carbon source for the production of lipids under static fermentation conditions. For the Thraustochytrium sp. AH-2, submerged liquid fermentation with 3% glucose produced 4.3 g/L of biomass and 44.16 mg/g of saturated fatty acids after seven days. Static fermentation with 0.5% and 1% breadcrumbs resulted in 2.5 and 4.7 g/L of biomass, and 42.4 and 33.6 mg/g of saturated fatty acids, respectively. Scanning electron microscopic (SEM) studies confirmed the growth of both strains on breadcrumbs. Attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy for both strains were consistent with the utilization of breadcrumbs for the production of unsaturated lipids, albeit at relatively low levels. The total lipid yield for static fermentation with bread crumbs was marginally lower than that of fermentation with glucose media, while the yield of unsaturated fatty acids was considerably lower, indicating that static fermentation may be more appropriate for the production of biodiesel than for the production of omega-3 rich oils in these strains.

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“…Both approaches, applying EMSC on raw data and applying EMSC on derivated data, are regularly employed. [13][14][15][16][17] It is important to demonstrate the effects and differences of these two approaches, since it is not readily apparent in scientific literature which is the right one to use.…”

Section: Introductionmentioning

confidence: 99%

“…18 In the presented study, the particlar attention was given to the optimization of size of the moving window employed in the SG algorithm during the conversion of recorded spectra into derivative form. Moreover, since the SG and the EMSC preprocessing procedures are often used cooperatively, [14][15][16][17] the optimal sequence of the preprocessing procedures was assessed. The preprocessing methodologies were studied using a real data set and a simulated one where all constituent effects are known.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Savitzky–Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy

2013

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Calculating derivatives of spectral data by the Savitzky-Golay (SG) numerical algorithm is often employed as a preliminary preprocessing step in order to resolve overlapping signals, enhance signal properties, and to suppress unwanted spectral features that arise due to nonideal instrument and sample properties. Addressing these issues, the study on the simulated and the measured infrared data by partial least squares regression has been conducted. The simulated data sets were modelled by considering a range of undesired chemical and physical spectral anomalies and variations that can occur in a measured spectrum, such as baseline variations, noise and scattering effects. The study has demonstrated the importance of optimization of the SG parameters during the conversion of spectra into derivative form, specifically window size and polynomial order of the fitting curve. A specific optimal window size is associated with an exact component in the system being estimated, and this window size does not necessarily apply for some other component present in the system. Since the optimization procedure can be time consuming, as a rough guideline spectral noise level can be used for assessment of window size. Moreover, it has been demonstrated that, when the extended multiplicative signal correction (EMSC) is used alongside the SG procedure, the derivative treatment of data by the SG algorithm must precede the EMSC normalization.

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Quantitative determination of fatty acid compositions in micro-encapsulated fish-oil supplements using Fourier transform infrared (FTIR) spectroscopy

Cited by 94 publications

References 18 publications

Snapshot prediction of carbon productivity, carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy

Snapshot prediction of carbon productivity, carbon and protein content in a Southern Ocean diatom using FTIR spectroscopy

Evaluation of Bread Crumbs as a Potential Carbon Source for the Growth of Thraustochytrid Species for Oil and Omega-3 Production

Optimizing Savitzky–Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy

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