๐Ÿ“‹ Case Study

Bioethanol Fermentation Tank Cascade Control (POET LLC, Iowa)

Yeast viability drop after 36 h due to ethanol toxicity and COโ‚‚-induced pH shift

๐Ÿ—๏ธ Project Overview

Improving ethanol yield and reducing diacetyl off-flavor in 2M-gal SSF fermenters

๐ŸŽฏ Challenge

Yeast viability drop after 36 h due to ethanol toxicity and COโ‚‚-induced pH shift

๐Ÿ”ง Design Approach

pH-triggered nutrient feed cascade with real-time glucose/ethanol Raman probes and variable agitation setpoint scheduling

๐Ÿ“ Design Diagram

Tank 1 Tank 2 Tank 3 Raman Raman Raman pH Agit. SP Sched. pH-Triggered Nutrient Cascade Yeast viability โ†“ after 36 h ฮผ = 0.18 hโปยน Kแตข = 82 g/L [EtOH] toxicity

AI-generated project design illustration

๐Ÿ“ Key Calculations

Specific Growth Rate (ฮผ)

ฮผ = d(lnX)/dt
Result: 0.18 hโปยน
Indicates optimal feeding window

Ethanol Inhibition Constant (K_i)

ฮผ = ฮผ_max / (1 + [EtOH]/K_i)
Result: 82 g/L
Defines maximum tolerable titer before lysis

๐Ÿ“Š Results

Yield increased from 92% to 97.4% theoretical; diacetyl reduced to <0.1 ppm; 11% shorter batch time

๐Ÿ’ก Lessons Learned

  • โ€ขBioreactor control must integrate metabolic kinetics with transport limits
  • โ€ขOnline spectroscopy enables true first-principles feedback

โœ… Key Takeaways

  • 1Bioreactor control must integrate metabolic kinetics with transport limits
  • 2Online spectroscopy enables true first-principles feedback