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Green Algae01:21

Green Algae

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Green algae, also referred to as chlorophytes, are different from red algae in having the chloroplasts containing chlorophylls a and b, which give them their distinct green hue. However, they lack phycobiliproteins, preventing them from developing the red or blue-green pigmentation seen in red algae. In terms of photosynthetic pigment composition, green algae closely resemble plants and share a close evolutionary relationship with them. Taxonomically Green algae belong to Phylum Chlorophyta in...
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Related Experiment Video

Updated: Aug 16, 2025

Construction and Setup of a Bench-scale Algal Photosynthetic Bioreactor with Temperature, Light, and pH Monitoring for Kinetic Growth Tests
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Kinetics of Biodiesel Production from Microalgae Using Microbubble Interfacial Technology.

Fahed Javed1, Muhammad Waqas Saif-Ul-Allah2, Faisal Ahmed2

  • 1Microfluidics Research Group, Department of Chemical Engineering, COMSATS University Islamabad, Lahore Campus, Lahore 54000, Pakistan.

Bioengineering (Basel, Switzerland)
|December 23, 2022
PubMed
Summary
This summary is machine-generated.

This study demonstrates microbubble technology for efficient biodiesel production from microalgae oil, achieving 99.45% conversion at a pilot scale. The gated recurrent unit (GRU) model proved more accurate for up-scaling than response surface methodology (RSM).

Keywords:
RSMbiodieselesterificationkineticsmicrobubble technology

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Area of Science:

  • Chemical Engineering
  • Renewable Energy
  • Process Intensification

Background:

  • Biodiesel offers a sustainable alternative to fossil fuels but faces challenges with expensive feedstocks and slow acid catalysis.
  • Conventional stirred tank reactors limit the efficiency and scalability of biodiesel production.
  • Microbubble mediated mass transfer technology shows promise for overcoming these limitations at a commercial scale.

Purpose of the Study:

  • To investigate the feasibility of microbubble technology for biodiesel production at an intermediate pilot scale (3 L).
  • To develop a robust kinetic model for up-scaling microbubble-based biodiesel synthesis using commercial feedstock and catalyst.
  • To compare the predictive accuracy of response surface methodology (RSM) and gated recurrent unit (GRU) models for process up-scaling.

Main Methods:

  • Conducted kinetic experiments using 3 L of microalgae oil (MO) and para-toluene sulfonic acid (PTSA) catalyst.
  • Employed microbubble mediated mass transfer technology to enhance reaction rates.
  • Designed experiments using Response Surface Methodology (RSM) and developed a Gated Recurrent Unit (GRU) model for kinetic analysis and up-scaling predictions.

Main Results:

  • Achieved a maximum biodiesel conversion of 99.45 ± 1.3% under optimized conditions (1:23.73 MO:MeOH molar ratio, 60 min, 3.3 wt% catalyst loading).
  • Both RSM and GRU models showed good fits to experimental data.
  • The GRU model demonstrated superior performance with R² = 0.9999 and RMSE = 0.0515, compared to RSM (R² = 0.9844, RMSE = 3.0832).

Conclusions:

  • Microbubble technology is effective for pilot-scale biodiesel production from microalgae oil.
  • The GRU model provides a more accurate and robust prediction for reactor up-scaling compared to RSM.
  • A horizontal up-scaling strategy maintaining constant liquid layer height and tessellated microbubble injection is proposed for industrial application.