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Optimization of Protein Feed Fermentation Process for Supplementation of Apis Mellifera Honeybees

Open Access
|Jul 2020

Figures & Tables

Fig. 1

Standardized effects (tcalc) of the variables: mean, moisture, curvature, temperature, probiotic and inulin on pH.
Standardized effects (tcalc) of the variables: mean, moisture, curvature, temperature, probiotic and inulin on pH.

Fig. 2

Standardized effects (tcalc) of the variables: mean, moisture, curvature, temperature, probiotic and inulin on lactic acid.
Standardized effects (tcalc) of the variables: mean, moisture, curvature, temperature, probiotic and inulin on lactic acid.

Fig. 3

Standardized effects (tcalc) of the variables: mean, temperature and moisture on pH.
Standardized effects (tcalc) of the variables: mean, temperature and moisture on pH.

Fig. 4

pH behavior with experimental values x predicted by the model.
pH behavior with experimental values x predicted by the model.

Fig. 5

Response surface for the pH response (Y1) as a function of temperature (X1) and moisture (X2).
Response surface for the pH response (Y1) as a function of temperature (X1) and moisture (X2).

Fig. 6

Contour curve for the pH response (Y1) as a function of temperature (X1) and moisture (X2).
Contour curve for the pH response (Y1) as a function of temperature (X1) and moisture (X2).

Fig. 7

Standardized effects (tcalc) of the variables: mean, temperature, moisture on lactic acid production.
Standardized effects (tcalc) of the variables: mean, temperature, moisture on lactic acid production.

Fig. 8

Behavior of the lactic acid production with experimental values x predicted by the model.
Behavior of the lactic acid production with experimental values x predicted by the model.

Fig. 9

Response surface (A) for the response of lactic acid production (Y2) as a function of temperature (X1) and moisture (X2).
Response surface (A) for the response of lactic acid production (Y2) as a function of temperature (X1) and moisture (X2).

Fig. 10

Contour curve for the response of lactic acid production (Y2) as a function of temperature (X1) and moisture (X2).
Contour curve for the response of lactic acid production (Y2) as a function of temperature (X1) and moisture (X2).

Experimental design matrix with the variables temperature (X1), moisture (X2), probiotic (X3) and inulin (X4) for protein supplement fermentation and mean values (standard deviation) of the responses (n = 3) pH (Y1) and lactic acid (Y2) in the first (1st day) and fifth day (5th day) of fermentation

VariablesResponses
TrialTemperature (ºC)Moisture (%)Probiotic (%)Inulin (%)pHpHLactic acid (%)Lactic acid (%)
1ºd5ºd1ºd5ºd
135.0036.007.501.005.48 (0.03)5.35 (0.02)1.33 (0.02)1.40 (0.05)
245.0036.007.503.005.31 (0.03)5.28 (0.05)1.39 (0.02)1.40 (0.05)
335.0076.007.503.005.62 (0.01)3.88 (0.01)0.47 (0.01)1.54 (0.01)
445.0076.007.501.005.67 (0.01)3.58 (0.01)0.43 (0.01)2.00 (0.03)
535.0036.0012.503.005.48 (0.01)5.34 (0.01)1.35 (0.01)1.49 (0.02)
645.0036.0012.501.005.37 (0.02)5.34 (0.01)1.35 (0.01)1.45 (0.01)
735,0076.0012.501.005.38 (0.02)3.98 (0.01)0.63 (0.01)1.48 (0.03)
845.0076.0012.503.005.28 (0.01)3.62 (0.01)0.51 (0.01)1.83 (0.01)
940.0056.0010.002.005.38 (0.05)3.71 (0.02)0.87 (0.02)2.89 (0.12)
1040,0056.0010.002.005.39 (0.10)3.70 (0.03)0.90 (0.04)2.91 (0.05)
1140.0056.0010.002.005.37 (0.07)3.70 (0.01)0.90 (0.03)3.18 (0.03)
1240.0056.0010.002.005.46 (0.06)3.72 (0.01)0.90 (0.02)3.02 (0.01)

Experimental design matrix with the variables temperature (X1), moisture (X2) and mean values (standard deviation) of the responses (n = 3) pH (Y1), lactic acid produced (Y2) and lactic bacteria (Y3) after fermentation of the protein supplement

VariablesResponses
TrialTemperature (ºC)Moisture (%)pHLactic acid (%)Lactic bacteria (CFU g−1)
140.0056.003.83 (0.01)1.47 (0.01)2.4 (0.1) × 109
245.0056.003.92 (0.01)1.33 (0.01)3.3 (0.3) × 108
340.0076.003.49 (0.01)1.56 (0.02)3.5 (0.2) × 109
445.0076.003.69 (0.01)1,08 (0.01)2.8 (0.1) × 108
538.9666.003.64 (0.01)1.66 (0.02)3.8 (0.1) × 109
646.0466.003.82 (0.01)1.36 (0.01)3.5 (0.1) × 108
742.5051.863.96 (0.01)1.38 (0.03)2.1 (0.2) × 109
842.5080.143.66 (0.01)1.06 (0.01)2.8 (0.1) × 108
942.5066.003.76 (0.01)1.34 (0.02)3.2 (0.1) × 108
1042.5066,003.76 (0.01)1.31 (0.03)3.1 (0.2) × 108
1142.5066.003.75 (0.01)1.35 (0.06)3.6 (0.1) × 108
1242.5066.003.75 (0.01)1.36 (0.13)3.7 (0.1) × 108
DOI: https://doi.org/10.2478/jas-2020-0001 | Journal eISSN: 2299-4831 | Journal ISSN: 1643-4439
Language: English
Page range: 15 - 27
Submitted on: Oct 5, 2018
Accepted on: Nov 17, 2019
Published on: Jul 2, 2020
Published by: Research Institute of Horticulture
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2020 Erica G. Lima, Rejane S. Parpinelli, Pedro R. Santos, Alexandre S. B. Azevedo, Maria J. Sereia, Vagner A. Arnaut de Toledo, published by Research Institute of Horticulture
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.