Improving the corn to ethanol fermentation process with near-infrared spectroscopy (NIRS)

Significance of the Topic

The fermentation of corn starch into ethanol is critical for renewable fuel production and emission reduction. Monitoring multiple quality parameters in real time ensures process control and cost efficiency.

Objectives and Study Overview

• Demonstrate near-infrared spectroscopy (NIRS) capabilities for in-process fermentation monitoring.
• Compare NIRS with traditional lab analysis in terms of speed, cost, and capacity enhancement.
• Illustrate cloud-based model optimization for continuous improvements.

Methodology and Instruments Used

• Traditional methods: refractometry, HPLC, ion chromatography, Karl Fischer titration (30–45 min per analysis).
• NIR approach: DS2500 Solid Analyzer with Vision Air software, analysis in under 5 minutes.
• Cloud integration: Vision Air Server for remote model updates and site-specific calibration.

Main Results and Discussion

• NIR reduced analysis time by approximately 90%, from one hour to five minutes per sample.
• Increased sampling frequency enabled early detection of process deviations (e.g., lactic acid, glycerol spikes).
• Fermentation cycle shortened from ~62 hours to 56 hours, allowing 10% more annual batches.

Benefits and Practical Applications

• Lower operating costs and labor requirements.
• Enhanced plant throughput and revenue by enabling timely interventions.
• Broad applicability to other process steps (DDGS, corn oil, water control).

Future Trends and Potential Uses

Remote NIR model management will support ongoing calibration refinements and rapid deployment across facilities. Expansion into comprehensive plant-wide process optimization through scalable cloud-based NIRS solutions is expected.

Conclusion

NIRS offers a rapid, non-destructive alternative to traditional lab analyses for corn-to-ethanol fermentation, enabling substantial time savings, improved process control, and increased production capacity. Cloud-enabled model updates further streamline implementation and continuous improvement.

Reference

• Essential Energy: 2021 Ethanol Industry Outlook. Renewable Fuels Association, 2021.
• Determining the Cost of Producing Ethanol from Corn Starch and Lignocellulosic Feedstocks. NREL, 2000.
• Metrohm AG. Simplifying quality control using Near-Infrared Spectroscopy, 2018.
• Ingledew, W.M. The biochemistry of alcohol production. In The Alcohol Textbook, 1995.