| Literature DB >> 26512678 |
José A Vázquez1, Lorenzo Pastrana2, Carmen Piñeiro3, José A Teixeira4, Ricardo I Pérez-Martín5, Isabel R Amado6,7.
Abstract
This work investigates the production of hyaluronic acid (H) by Streptococcus equi subsp. zooepidemicus in complex media formulated with peptones obtained from Scyliorhinus canicula viscera by-products. Initially, in batch cultures, the greatest productions were achieved using commercial media (3.03 g/L) followed by peptones from alcalase hydrolyzed viscera (2.32 g/L) and peptones from non-hydrolyzed viscera (2.26 g/L). An increase of between 12% and 15% was found in subsequent fed-batch cultures performed on waste peptones. Such organic nitrogen sources were shown to be an excellent low-cost substrate for microbial H, saving more than 50% of the nutrient costs.Entities:
Keywords: Scyliorhinus canicula by-products; Streptococcus zooepidemicus; hyaluronic acid production; logistic equation; marine peptones; viscera waste valorization
Mesh:
Substances:
Year: 2015 PMID: 26512678 PMCID: PMC4626705 DOI: 10.3390/md13106537
Source DB: PubMed Journal: Mar Drugs ISSN: 1660-3397 Impact factor: 5.118
Figure 1Batch cultivations of S. zooepidemicus on different nutritive media. G: glucose, Pr: total proteins, X: biomass, H: hyaluronic acid, L: lactic acid. ◊: Medium A, ○: Medium B, □: Medium C, ●: CM. In the case of bioproductions (X, L, and H), experimental data were fitted to the logistic Equation (1) (continuous line). Error bars are the confidence intervals (n = 2, α = 0.05).
Parametric estimations corresponding to the logistic Equation (1) applied to S. zooepidemicus batch cultures. Numerical values of the parameters are shown with their confidence intervals. R2 is the determination coefficients for the mathematical fittings to Equation (1) and p-values from Fisher’s F-test verify the robustness of the equation. The different production yields are also calculated.
| Parameters | Medium A | Medium B | Medium C | CM |
|---|---|---|---|---|
| 3.43 ± 0.15 | 3.80 ± 0.20 | 4.61 ± 0.26 | 4.05 ± 0.16 | |
| 0.461 ± 0.009 | 0.587 ± 0.131 | 0.835 ± 0.230 | 1.11 ± 0.33 | |
| 2.03 ± 0.77 | 3.92 ± 0.81 | 4.15 ± 0.86 | 3.99 ± 0.62 | |
| 5.75 ± 0.44 | 7.15 ± 0.47 | 6.91 ± 0.48 | 5.80 ± 0.28 | |
| 0.538 ± 0.109 | 0.618 ± 0.151 | 0.725 ± 0.488 | 1.10 ± 0.32 | |
| 9.46 ± 0.80 | 10.39 ± 0.67 | 9.66 ± 0.71 | 7.62 ± 0.34 | |
| 0.058 | 0.071 | 0.075 | 0.080 | |
| 1.632 | 1.254 | 0.991 | 1.275 | |
| 0.994 | 0.994 | 0.993 | 0.995 | |
| <0.001 | <0.001 | <0.001 | <0.001 | |
| 2.26 ± 0.33 | 1.51 ± 0.06 | 2.32 ± 0.13 | 3.03 ± 0.14 | |
| 0.207 ± 0.053 | 0.225 ± 0.028 | 0.456 ± 0.126 | 0.667 ± 0.169 | |
| 4.23 ± 1.46 | 6.79 ± 0.45 | 5.14 ± 0.79 | 4.81 ± 0.66 | |
| 9.69 ± 1.33 | 10.15 ± 0.29 | 7.68 ± 0.44 | 7.09 ± 0.36 | |
| 0.366 ± 0.128 | 0.596 ± 0.085 | 0.785 ± 0.232 | 0.879 ± 0.235 | |
| 15.15 ± 2.01 | 13.50 ± 0.56 | 10.23 ± 0.89 | 9.36 ± 0.40 | |
| 0.040 | 0.029 | 0.044 | 0.061 | |
| 1.143 | 0.512 | 0.584 | 0.967 | |
| 0.700 | 0.408 | 0.589 | 0.759 | |
| 0.986 | 0.998 | 0.993 | 0.995 | |
| <0.001 | <0.001 | <0.001 | <0.001 | |
| 35.78 ± 2.28 | 34.60 ± 1.14 | 40.74 ± 1.82 | 30.25 ± 0.77 | |
| 3.46 ± 0.54 | 3.90 ± 0.29 | 5.73 ± 0.89 | 7.81 ± 1.39 | |
| 4.31 ± 0.84 | 5.61 ± 0.35 | 5.09 ± 0.61 | 4.34 ± 0.38 | |
| 9.48 ± 0.71 | 10.05 ± 0.27 | 8.65 ± 0.38 | 6.28 ± 0.20 | |
| 0.387 ± 0.079 | 0.451 ± 0.042 | 0.562 ± 0.099 | 1.03 ± 0.19 | |
| 14.65 ± 1.34 | 14.48 ± 0.59 | 12.21 ± 0.70 | 8.21 ± 0.25 | |
| 0.651 | 0.643 | 0.713 | 0.622 | |
| 18.44 | 11.29 | 9.42 | 9.87 | |
| 0.995 | 0.999 | 0.997 | 0.998 | |
| <0.001 | <0.001 | <0.001 | <0.001 |
Figure 2Fed-batch cultivation of S. zooepidemicus on medium formulated with peptones obtained from S. canicula viscera without hydrolysis (Medium A). Concentrated glucose solutions were employed for fed-batch operatory. Experimental data of bioproductions were fitted to the logistic Equation (1) (continuous line). Error bars are the confidence intervals (n = 2, α = 0.05).
Parametric estimations corresponding to the logistic Equation (1) applied to S. zooepidemicus fed-batch cultures. Numerical values of the parameters are shown with their confidence intervals. R2 is the determination coefficient for the mathematical fittings to Equation (1) and p-values from Fisher’s F-test verify the robustness of the equation. The different production yields are also calculated.
| Parameters | Medium A | Medium C | CM |
|---|---|---|---|
| 3.34 ± 0.16 | 3.27 ± 0.17 | 4.56 ± 0.29 | |
| 0.467 ± 0.098 | 0.464 ± 0.103 | 0.930 ± 0.350 | |
| 2.47 ± 0.83 | 2.69 ± 0.87 | 3.46 ± 1.03 | |
| 6.05 ± 0.48 | 6.22 ± 0.50 | 8.34 ± 0.77 | |
| 0.559 ± 0.128 | 0.567 ± 0.138 | 0.820 ± 0.321 | |
| 9.63 ± 0.60 | 9.74 ± 0.87 | 7.62 ± 0.34 | |
| 0.047 | 0.049 | 0.052 | |
| 1.201 | 0.976 | 1.027 | |
| 0.994 | 0.994 | 0.988 | |
| <0.001 | <0.001 | <0.001 | |
| 2.53 ± 0.09 | 2.66 ± 0.17 | 3.23 ± 0.25 | |
| 0.332 ± 0.035 | 0.321 ± 0.054 | 0.589 ± 0.234 | |
| 5.19 ± 0.44 | 5.42 ± 0.75 | 3.76 ± 1.22 | |
| 9.00 ± 0.27 | 9.56 ± 0.52 | 6.50 ± 0.65 | |
| 0.526 ± 0.061 | 0.483 ± 0.095 | 0.730 ± 0.299 | |
| 12.80 ± 0.99 | 13.70 ± 0.61 | 9.24 ± 0.81 | |
| 0.035 | 0.039 | 0.039 | |
| 0.896 | 0.772 | 0.767 | |
| 0.746 | 0.791 | 0.747 | |
| 0.999 | 0.996 | 0.986 | |
| <0.001 | <0.001 | <0.001 | |
| 50.50 ± 5.44 | 51.13 ± 4.16 | 81.88 ± 19.65 | |
| 4.68 ± 0.83 | 5.08 ± 0.76 | 6.53 ± 1.92 | |
| 5.01 ± 0.99 | 5.11 ± 0.78 | 4.49 ± 1.89 | |
| 10.42 ± 0.94 | 10.14 ± 0.69 | 10.76 ± 2.22 | |
| 0.370 ± 0.090 | 0.398 ± 0.079 | 0.319 ± 0.143 | |
| 15.82 ± 2.79 | 15.16 ± 2.19 | 17.03 ± 4.01 | |
| 0.700 | 0.762 | 0.895 | |
| 17.99 | 15.04 | 17.77 | |
| 0.994 | 0.996 | 0.978 | |
| <0.001 | <0.001 | <0.001 |
Figure 3Hyaluronic production costs in each medium tested for batch culture conditions. Error bars are the confidence intervals (n = 2, α = 0.05).