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Implementation of flexible models to bioethanol production from carob extract–based media in a biofilm reactor

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Abstract

In the present study, eleven flexible models were employed to describe the effect of different medium compositions (DMC) on ethanol fermentation in repeated-batch biofilm reactors with carob extract. Residual-sum of square, root-mean-square-error, mean-absolute-error, determination coefficient, bias factor, accuracy factor, F test, and objective function were used to compare the models. Findings indicated that corresponding with the prediction of the experimental data of substrate concentration (S), the best-selected models were the Baranyi model (media A and C), Weibull model (medium B), and re-modified Gompertz model (R-MGM) (medium D). It was also found that in the estimation of the observed biomass concentration (X) data, Baranyi model (medium A), Weibull model (medium B), and Stannard model (media C and D) gave well-directed results according to the model comparison, validation, and fitting results. As related to ethanol concentration (P), the predicted data with the re-modified Richards model (R-MRM) (media A and B), re-modified logistic model (R-MLM) (medium C), and Baranyi model (medium D) were showed good agreement with the experimental p values. To validate the best-selected models, an independent set of the experimental data for each medium was used and it was found that the independent experimental values were highly compatible with the selected models. Consequently, the best-selected models can serve as universal equations to fit satisfactorily the experimental S, X, and P curves. These models can also be used for further improvement of the carob extract–based bioethanol production process.

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Abbreviations

μ :

1/h; Specific growth rate

°Bx:

-; Brix

AF:

-; Accuracy factor

A m :

g/L; Upper asymptote

A o :

g/L; Lower asymptote

A t :

g/L; The predicted biomass, ethanol, and sugar concentration at time t

BF:

-; Bias factor

DF:

-; Degree of freedom

d :

-; Dimensionless design parameter

DMC:

-; Different medium compositions

e :

-; Euler number, 2.718

h o :

g/LA; parameter calculating the initial physiology state of the cells

k :

-; A parameter governing the rate at which the response variable approaches its potential maximum

MAE:

g/L; Mean-absolute-error

MMF:

-; Morgan-Mercer-Flodin model

n :

-; Number of observations

P :

g/L; Ethanol concentration

ΔP :

g/L; Ethanol produced

PCS:

-; Plastic composite support

P max :

g/L; Maximum ethanol concentration

Q :

g/L/h; Maximum ethanol production, sugar consumption, and biomass production rate

Q P :

g/L/h; Maximum ethanol production rate

Q S :

g/L/h; Maximum sugar consumption rate

Q X :

g/L/h; Maximum biomass production rate

R 2 :

-; Determination coefficient

R-MGM:

-; Re-modified Gompertz model

R-MLM:

-; Re-modified logistic model

R-MRM:

-; Re-modified Richards model

RMSE:

g/L; Root-mean-square-error

RSS:

g/L; Residual sum of squares

S :

g/L; Substrate concentration

ΔS :

g/L; Sugar consumed

S max :

g/L; Maximum sugar concentration

SUY:

%; Sugar utilization yield

t :

h; Sampling time

t d :

h; Doubling time

T L :

h; The point where At is equal to Am/2

v :

-; Dimensionless shape parameter

X :

g/L; Biomass concentration

ΔX :

g/L; Biomass produced

X max :

g/L; Maximum biomass production

x i :

g/L; Experimental value at timet

Y P/S :

%; Ethanol yield

y i :

g/L; Predicted value at time t

a :

-; Lag phase transition coefficient

β :

-; Growth displacement

δ :

-; Allometric constant

λ :

h; Lag time

Φ value:

-; Objective function

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Funding

This work was supported by the Akdeniz University Research Foundation (Grant number 2014.02.0121.020).

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Correspondence to Irfan Turhan.

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Germec, M., Karhan, M., Demirci, A. et al. Implementation of flexible models to bioethanol production from carob extract–based media in a biofilm reactor. Biomass Conv. Bioref. 11, 2983–2999 (2021). https://doi.org/10.1007/s13399-020-00612-5

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