Artificial neural networks model for estimating growth of polyculture microalgae in an open raceway pond

Supriyanto,; Noguchi, Ryozo; Ahamed, Tofael; Rani, Devitra Saka; Sakurai, Kai; Nasution, Muhammad Ansori; Wibawa, Dhani S.; Demura, Mikihide; Watanabe, Makoto M.

doi:10.1016/j.biosystemseng.2018.10.002

Cited by 58 publications

(17 citation statements)

References 17 publications

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“…Due to the type of applications, N. ellipsosporum requires innocuous culture conditions in order to avoid contamination, and axenic conditions to ensure the dominance of the species. Therefore, large-scale microalgae cultivation systems, such as open raceway ponds, are not suitable for this species, because they often suffer losses in productivity or alterations in the biochemical production as a result of contamination by parasites, predators or competitor microalgae that could inhibit the growth of N. ellipsosporum (Fuentes et al, 2016;McBride et al, 2016;Novoveska et al, 2016;Supriyanto et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Modeling the effects of light wavelength on the growth of Nostoc ellipsosporum

Ortiz-Moreno¹,

Cárdenas-Poblador²,

Agredo³

et al. 2020

Univ. Sci.

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Mathematical models provide information about population dynamics under different conditions. In the study, four models were evaluated and employed to describe the growth kinetics of Nostoc ellipsosporum with different light wavelengths: Baranyi-Roberts, Modiﬁed Gompertz, Modiﬁed Logistic, and Richards. N. ellipsosporum was grown in BG-11 liquid medium for 9 days, using 12 hours of photoperiod and the following treatments: white light (400-800 nm), red light (650-800 nm), yellow light (550-580 nm) and blue light (460-480 nm). Each experiment was performed in triplicate. The optical density (OD) was measured on days 1, 3, 5, 7 and 9, using a spectrophotometer at 650 nm. The maximum cell growth was obtained under white light (OD650 : 0.090 ± 0.008), followed by the yellow light (OD650 :0.057 ± 0.004). Conversely, blue light showed a marked inhibitory effect on the growth of N. ellipsosporum (OD650 : 0.009 ± 0.001). The results revealed that the Baranyi-Roberts model had a better ﬁt with the experimental data from N. ellipsosporum growth in all four treatments. The ﬁndings from this modeling study could be used in several biotechnological applications that require the productionof N. ellipsosporum and its bioproducts.

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Section: Introductionmentioning

confidence: 99%

Modeling the effects of light wavelength on the growth of Nostoc ellipsosporum

Ortiz-Moreno¹,

Cárdenas-Poblador²,

Agredo³

et al. 2020

Univ. Sci.

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“…The species growth was calculated using a simplified Monod model 37 with light intensity and temperature factors based on the previous work. 26,38 The Monod model is commonly used in monoculture or single species modeling. However, this model does not fit in native polyculture microalgae with complex ecosystems.…”

Section: Biological and Environmental Datamentioning

confidence: 99%

“…25 The preliminary work of estimating native polyculture growth was conducted for parameter identification due to the complex systems in native microalgal communities. 26 Additionally, it cannot forecast biomass concentration and productivity, and excludes the specific growth rate. Consequently, a polyculture growth model is built for native microalgae communities based on five parameters: species growth, polyculture factor (k value ), initial concentration, light intensity, and temperature.…”

Section: Introductionmentioning

confidence: 99%

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A Novel Polyculture Growth Model of Native Microalgal Communities to Estimate Biomass Productivity for Biofuel Production

Rani

Supriyanto

Watanabe

et al. 2021

Biotechnol Progress

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Native polyculture microalgae is a promising scheme to produce microalgal biomass as biofuel feedstock in an open raceway pond. However, predicting biomass productivity of native polycultures microalgae is incredibly complicated. Therefore, developing polyculture growth model to forecast biomass yield is indispensable for commercial-scale production. This research aims to develop a polyculture growth model for native microalgal communities in the Minamisoma algae plant and to estimate biomass and biocrude oil productivity in a semicontinuous open raceway pond.The model was built based on monoculture growth of polyculture species and it is later formulated using species growth, polyculture factor (k value ), initial concentration, light intensity, and temperature. In order to calculate species growth, a simplified Monod model was applied. In the simulation, 115 samples of the 2014-2015 field dataset were used for model training, and 70 samples of the 2017 field dataset were used for model validation. The model simulation on biomass concentration showed that the polyculture growth model with k value had a root-mean-square error of 0.12, whereas model validation provided a better result with a root-mean-square error of 0.08. Biomass productivity forecast showed maximum productivity of 18.87 g/m 2 /d in June with an annual average of 13.59 g/m 2 /d. Biocrude oil yield forecast indicated that hydrothermal liquefaction process was more suitable with a maximum productivity of 0.59 g/m 2 /d compared with solvent extraction which was only 0.19 g/m 2 /d.With satisfactory root-mean-square errors less than 0.3, this polyculture growth model can be applied to forecast the productivity of native microalgae.

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“…Biofilm cultivation may be divided into three types: (1) permanently immersed in a liquid medium, (2) biofilms that alternate between gaseous and liquid phases, and (3) permeated biofilms wherein liquid medium is delivered through the substratum [33] (Figure 2). The productivity of two phase systems can greatly exceed that of raceways [34], although they generally require rotation or a rocking motion to expose the biofilm to both gaseous and liquid phases [35,36], although this may be difficult to scale up.…”

Section: Introductionmentioning

confidence: 99%

Immobilising Microalgae and Cyanobacteria as Biocomposites: New Opportunities to Intensify Algae Biotechnology and Bioprocessing

et al. 2021

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There is a groundswell of interest in applying phototrophic microorganisms, specifically microalgae and cyanobacteria, for biotechnology and ecosystem service applications. However, there are inherent challenges associated with conventional routes to their deployment (using ponds, raceways and photobioreactors) which are synonymous with suspension cultivation techniques. Cultivation as biofilms partly ameliorates these issues; however, based on the principles of process intensification, by taking a step beyond biofilms and exploiting nature inspired artificial cell immobilisation, new opportunities become available, particularly for applications requiring extensive deployment periods (e.g., carbon capture and wastewater bioremediation). We explore the rationale for, and approaches to immobilised cultivation, in particular the application of latex-based polymer immobilisation as living biocomposites. We discuss how biocomposites can be optimised at the design stage based on mass transfer limitations. Finally, we predict that biocomposites will have a defining role in realising the deployment of metabolically engineered organisms for real world applications that may tip the balance of risk towards their environmental deployment.

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Artificial neural networks model for estimating growth of polyculture microalgae in an open raceway pond

Cited by 58 publications

References 17 publications

Modeling the effects of light wavelength on the growth of Nostoc ellipsosporum

Modeling the effects of light wavelength on the growth of Nostoc ellipsosporum

A Novel Polyculture Growth Model of Native Microalgal Communities to Estimate Biomass Productivity for Biofuel Production

Immobilising Microalgae and Cyanobacteria as Biocomposites: New Opportunities to Intensify Algae Biotechnology and Bioprocessing

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