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Rapid and Accurate Biomass Analysis

Celignis Analytical, launched in July 2014 as a spinout from the University of Limerick, Ireland, offers comprehensive characterisation services for lignocellulosic biomass, focusing on properties crucial for 2nd generation biofuels production. By utilizing standard and unique analytical models, they provide rapid and accurate analysis, including key chemical properties, thermal characteristics, and elemental composition. Celignis' NIR method allows for one-day analysis of lignocellulose, offering quicker results and cost-effective screening of biomass samples, with over 1000 samples analyzed. Their future plans include improving accuracy and expanding services.

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Rapid and Accurate Biomass Analysis

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  1. Companies Forum Venice 2014 Rapid and Accurate Biomass Analysis Dr. Daniel Hayes www.celignis.com

  2. Celignis Analytical • Launched July 2014. • Spinout from University of Limerick, Ireland. • Based on advances in biomass analysis made in PhD and FP7 project (DIBANET). • Provision of characterisation services for biomass (lignocellulosic and thermal properties). • Initial focus on determining properties relevant to production of 2nd Gen. biofuels. • Uses standard methods (chemical and thermal) and unique models for rapid analysis. “One-day analysis of biomass” www.celignis.com

  3. 2nd Gen Biofuels “One-day analysis of biomass” www.celignis.com

  4. Important Chemical Properties • Hydrolysis process (e.g. enzymatic hydrolysis). • C6 Sugars: Glucose, Galactose, Mannose • C5 Sugars: Arabinose, Xylose • Lignin content (acid soluble and insoluble) • Extractives • Ash. • Thermal (e.g. combustion) and thermochemical (e.g. pyrolysis and gasification). • Elemental analysis (C, H, N, O, S) • Heating value • Ash • Anions and cations. “One-day analysis of biomass” www.celignis.com

  5. Time for Conventional Analysis Wet Chopped Sample Sample as Collected Dry Sample Air Drying ~ 3+ days Chop sample ~ 10 mins Milling + sieving ~ 1 hour Extractives-free sample Hydrolysis and hydrolysate analysis ~ 3 days Extractives Removal ~ 3 days Completed Lignocellulosic Analysis ~ 10 days !!!! Dry Sample of Appropriate Particle Size “One-day analysis of biomass” www.celignis.com

  6. Constituents Determined

  7. Chemical Analysis Methods • Advantages: • Established for decades. • Most accurate method. • Accurate for all sample types. • Disadvantages: • Destructive. • Needs careful sample preparation. • Array of equipment required. • Requires high level of analytical competence. • Slow (requires ~2 weeks). • Costly. • Hence, number of samples that can be analysed is limited (time/cost). “One-day analysis of biomass” www.celignis.com

  8. Celignis NIR Method for Lignocellulose Analysis • Has been demonstrated on >1000 samples. • Takes ~2 minutes for prepared samples. • Allows reduced cost, increased throughput (effective sample screening technique). • Allows for provision of data in one day. “One-day analysis of biomass” www.celignis.com

  9. Background to NIR Analysis Specular Reflectance Diffuse Reflectance Absorption Transmittance Refraction Scattering “One-day analysis of biomass” www.celignis.com

  10. “One-day analysis of biomass” www.celignis.com

  11. History of NIR Analysis • In development since 70’s for the analysis of forage crops and grains. • Now the primary method of analysis for these sectors. • To date application of NIR for lignocellulose analysis limited to research papers. • Celignis is the only company to offer NIR analysis as a commercial service for the lignocellulosic constituents of a wide variety of biomass samples “One-day analysis of biomass” www.celignis.com

  12. 13 Constituents Predicted

  13. Types of Samples Included “One-day analysis of biomass” www.celignis.com

  14. Development of NIR Models • Models are built on a set of samples (calibration set) and then tested on an independent set of samples (validation set). • Important statistics: • R2 for the validation set. • RMSEP. • RER (range error ratio) = Range/SEP. • RER > 15 model is good for quantification. • RER 10-15, screening control. • RER 5-10, rough sample screening. “One-day analysis of biomass” www.celignis.com

  15. Results for Prediction Set “One-day analysis of biomass” www.celignis.com

  16. Regression Plot – Total Sugars “One-day analysis of biomass” www.celignis.com

  17. Regression Plot – Klason Lignin “One-day analysis of biomass” www.celignis.com

  18. Results for Prediction Set “One-day analysis of biomass” www.celignis.com

  19. Results for Prediction Set “One-day analysis of biomass” www.celignis.com

  20. Feedstock-Specific Models “One-day analysis of biomass” www.celignis.com

  21. Remove Risk from NIR Analysis… • NIR analysis carried out without payment. • Figures for Deviation in Prediction for the Total Sugars and KL contents provided for free. • Can then decide whether to pay for NIR data, wet-chemical analysis, or nothing! • All operations carried out online with interactive database… “One-day analysis of biomass” www.celignis.com

  22. “One-day analysis of biomass” www.celignis.com

  23. Celignis NIR Method • Advantages: • Results provided in one day (versus ~2 weeks). • Significantly lower price than chemical analysis. • Allows for a large number of samples to be screened for their suitability in a cost-effective manner. • Proven on ~1000 biomass samples covering a wide variety of feedstock types. • Disadvantages: • Less accurate then chemical analysis - however models provide an estimate of the deviation (error) in prediction and this may be low enough for many users. “One-day analysis of biomass” www.celignis.com

  24. Future Plans • Further improve models with more samples. • Develop a local calibration algorithm do develop unique models for each sample to be predicted (only select relevant samples for calibration set). • Develop models for thermochemical properties (C/H/N/S, heating value, volatile matter, fixed carbon etc.) using existing sample database (1,700 samples) and new samples. • Open to collaboration in future Horizon 2020/JTI research projects for models for new feedstocks or analytes. “One-day analysis of biomass” www.celignis.com

  25. Conclusion • Celignis offers standard chemical analysis methods for lignocellulosic biomass feedstocks and these provide data with high accuracy and precision. • Celignis also offers a rapid low-cost NIR method for predicting lignocellulosic constituents. • More technical data on the NIR method to be presented at Session B2 (Theatre Hall), Mon 17th Nov at 14:30. • Much more information available on Celignis website: www.celignis.com “One-day analysis of biomass” www.celignis.com

  26. Thank You! www.celignis.com dan@celignis.com (353) 89 455 5582

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