Agilent Biomass Solutions
Brochures and specifications | 2014 | Agilent TechnologiesInstrumentation
Biomass is increasingly recognized as a clean, renewable alternative to dwindling fossil resources. Its conversion into fuels and chemicals addresses global challenges such as climate change, energy security, and environmental sustainability. Analyses across the biomass-to-biofuel chain ensure consistent quality, drive process improvements, and support regulatory compliance, ultimately fostering adoption of bio-based energy and materials.
This Agilent application overview surveys analytical solutions tailored to biomass research and production. It outlines methods for feedstock characterization, process monitoring, final product certification, and field blending verification. The goal is to demonstrate integrated workflows that deliver speed, accuracy, robustness, and simplicity for both laboratory scientists and routine operators.
A comprehensive suite of Agilent instruments supports biomass analytics:
HPLC separations on Hi-Plex Ca columns achieved baseline resolution of mono- and disaccharides at 85 °C using water eluent. The GC analyzers conform to ASTM D6584, D5501, and EN 14103 for FAME, glycerin, and methanol assays, reducing method development time by up to 90 %. FTIR calibration models on the 5500t instrument accurately quantified biodiesel down to 0.025 % with R² > 0.9999 and SECV < 0.0016 %. MP-AES demonstrated detection limits of 0.3–40 μg/L for V to Pb, and ICP-MS achieved ppt-level precision with minimal interference. Automated sample prep cut analyst time and improved reproducibility across replicates.
Agilent’s portfolio provides end-to-end analytical solutions for the biomass value chain. By combining advanced instrumentation, preconfigured methods, and automated workflows, laboratories can meet stringent quality standards, improve process efficiency, and accelerate adoption of biofuels and biochemicals. Ongoing innovations promise deeper insights, higher throughput, and wider accessibility in biomass analytics.
GC, Sample Preparation, GC columns, Consumables, HPLC, LC columns
IndustriesFood & Agriculture, Energy & Chemicals
ManufacturerAgilent Technologies
Summary
Significance of the Topic
Biomass is increasingly recognized as a clean, renewable alternative to dwindling fossil resources. Its conversion into fuels and chemicals addresses global challenges such as climate change, energy security, and environmental sustainability. Analyses across the biomass-to-biofuel chain ensure consistent quality, drive process improvements, and support regulatory compliance, ultimately fostering adoption of bio-based energy and materials.
Objectives and Study Overview
This Agilent application overview surveys analytical solutions tailored to biomass research and production. It outlines methods for feedstock characterization, process monitoring, final product certification, and field blending verification. The goal is to demonstrate integrated workflows that deliver speed, accuracy, robustness, and simplicity for both laboratory scientists and routine operators.
Methodology and Instrumentation
A comprehensive suite of Agilent instruments supports biomass analytics:
- HPLC: 1260 Infinity LC with Hi-Plex columns for sugar, sugar-alcohol, protein, and fat assays under isocratic water or dilute acid conditions.
- GC: 7890B systems preconfigured for ASTM/CEN biodiesel and ethanol methods; optional Deans Switch for two-dimensional separations.
- FTIR: Portable 4500/5500 series and lab-based Cary 630 for rapid quantification of ethanol in gasoline (E85) and trace biodiesel in diesel via transmission Mid-IR.
- MP-AES: 4200 Microwave Plasma-Atomic Emission Spectrometer for multi-element screening (Na, K, Si, Cr, Ni, Pb, V) without flammable gases.
- ICP-MS: 7900 provides ppt-level detection and ORS4 collision/reaction cell to remove carbon interferences in complex matrices.
- Automated Sample Prep: 7696A WorkBench reduces manual handling, carryover, and costs for GC/LC sample preparation.
- Columns & Supplies: ZORBAX and Poroshell 120 UHPLC columns, J&W GC columns with PLOT PT and DB-Sulfur phases, inert liners, vials, ferrules, and gas purification accessories.
Key Results and Discussion
HPLC separations on Hi-Plex Ca columns achieved baseline resolution of mono- and disaccharides at 85 °C using water eluent. The GC analyzers conform to ASTM D6584, D5501, and EN 14103 for FAME, glycerin, and methanol assays, reducing method development time by up to 90 %. FTIR calibration models on the 5500t instrument accurately quantified biodiesel down to 0.025 % with R² > 0.9999 and SECV < 0.0016 %. MP-AES demonstrated detection limits of 0.3–40 μg/L for V to Pb, and ICP-MS achieved ppt-level precision with minimal interference. Automated sample prep cut analyst time and improved reproducibility across replicates.
Benefits and Practical Applications
- Streamlined workflows from feedstock screening to final product certification.
- High throughput and minimal training requirements for routine operators.
- Accurate, interference-free quantitation in complex biofuel matrices.
- Reduced operating costs via gas-free MP-AES and automated sample prep.
- Enhanced instrument uptime through robust column designs and service guarantees.
Future Trends and Opportunities
- Integration of real-time process analytics (PAT) in biorefineries to optimize yield and quality.
- Expansion of multi-dimensional GC and high-resolution MS for detailed compositional profiling.
- Adoption of machine learning on spectral and chromatographic data for predictive quality control.
- Development of miniaturized, field-deployable sensors for on-site biomass monitoring.
- Greater emphasis on life-cycle assessment to support sustainable feedstock decisions.
Conclusion
Agilent’s portfolio provides end-to-end analytical solutions for the biomass value chain. By combining advanced instrumentation, preconfigured methods, and automated workflows, laboratories can meet stringent quality standards, improve process efficiency, and accelerate adoption of biofuels and biochemicals. Ongoing innovations promise deeper insights, higher throughput, and wider accessibility in biomass analytics.
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