Fast measurement of bio- chemical methane potential (BMP) by NIRS
Applications | | MetrohmInstrumentation
Biochemical methane potential (BMP) is a critical metric for evaluating the degradability of organic substrates in anaerobic digestion. Conventional BMP assays require 30–40 days of incubation, limiting their utility for process control and substrate screening. Rapid determination of BMP using near-infrared spectroscopy (NIRS) enables timely decisions to optimize biogas production and increase methane yield without long delays or chemical reagents.
This application note presents a fast BMP measurement approach that combines the Metrohm NIRS DS2500 analyzer with Ondalys Flash BMP calibration model. The goal is to assess the accuracy and robustness of the NIR-based method across diverse substrates commonly used in biogas plants, demonstrating an alternative to time-intensive fermentation assays.
Sample Preparation:
Calibration Development:
Validation Procedure:
Validation results for ten substrates showed:
These metrics confirm that the NIR-based method achieves accuracy comparable to the conventional BMP assay while delivering results within one minute per sample. The broad substrate range and calibration validity demonstrate the model’s applicability to various waste streams.
This rapid NIRS-based BMP approach offers:
Emerging opportunities include:
The combination of Metrohm NIRS DS2500 and the Ondalys Flash BMP calibration model provides a rapid, reliable and reagent-free method for determining biochemical methane potential. Its high accuracy and speed support effective biogas plant management and substrate screening, offering a practical alternative to traditional BMP assays.
Angelidaki, I. et al. (2009) Standard Method for Biochemical Methane Potential (BMP) Assay. International Journal of Biogas Research.
NIR Spectroscopy
IndustriesEnergy & Chemicals
ManufacturerMetrohm
Summary
Significance of the Topic
Biochemical methane potential (BMP) is a critical metric for evaluating the degradability of organic substrates in anaerobic digestion. Conventional BMP assays require 30–40 days of incubation, limiting their utility for process control and substrate screening. Rapid determination of BMP using near-infrared spectroscopy (NIRS) enables timely decisions to optimize biogas production and increase methane yield without long delays or chemical reagents.
Objectives and Study Overview
This application note presents a fast BMP measurement approach that combines the Metrohm NIRS DS2500 analyzer with Ondalys Flash BMP calibration model. The goal is to assess the accuracy and robustness of the NIR-based method across diverse substrates commonly used in biogas plants, demonstrating an alternative to time-intensive fermentation assays.
Methodology and Instrumentation
Sample Preparation:
- A set of approximately 500 reference samples covering agro-industrial waste, biowaste, energy crops, agricultural residues, fats, sludge and digestate was used to build the calibration model.
- For validation, ten substrates with reference BMP values between 209 and 443 mL CH4 per g volatile solids (VS) were frozen, freeze-dried and ground to ensure homogeneity.
Calibration Development:
- NIR spectra were recorded on Metrohm NIRS DS2500 across the relevant spectral range.
- Partial least squares (PLS) regression was applied to relate spectral features to reference BMP values obtained by standard fermentation (Angelidaki et al., 2009).
Validation Procedure:
- The Flash BMP model was imported into Vision Air software for prediction of unknown samples.
- Predicted BMP values were compared against reference measurements to evaluate prediction error and model reliability.
Main Results and Discussion
Validation results for ten substrates showed:
- Standard error of prediction (SEP): 14.3 mL CH4 per g VS
- Root mean square error of prediction (RMSEP): 14.8 mL CH4 per g VS
- Individual deviations ranged from 0.5 % to 8.8 % relative to reference values
These metrics confirm that the NIR-based method achieves accuracy comparable to the conventional BMP assay while delivering results within one minute per sample. The broad substrate range and calibration validity demonstrate the model’s applicability to various waste streams.
Benefits and Practical Applications
This rapid NIRS-based BMP approach offers:
- Significant time savings: results in minutes versus weeks
- Chemical-free analysis: no reagents required
- High throughput: enables screening of multiple substrates in routine operations
- Process optimization: real-time data supports feedstock selection and digester management
Future Trends and Potential Applications
Emerging opportunities include:
- Expansion of calibration libraries to cover novel feedstocks and co-substrates
- Integration with digital monitoring platforms and predictive process control
- On-line or in-line NIR probes for continuous BMP monitoring
- Application of machine learning to refine model accuracy and adaptability
Conclusion
The combination of Metrohm NIRS DS2500 and the Ondalys Flash BMP calibration model provides a rapid, reliable and reagent-free method for determining biochemical methane potential. Its high accuracy and speed support effective biogas plant management and substrate screening, offering a practical alternative to traditional BMP assays.
References
Angelidaki, I. et al. (2009) Standard Method for Biochemical Methane Potential (BMP) Assay. International Journal of Biogas Research.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Flash BMP® : Calibration for the Biochemical Methane Potential of solid organic waste using Near Infrared Spectroscopy (NIRS)
|Metrohm|Posters
® Flash BMP : Calibration for the Biochemical Methane Potential of solid organic waste using Near Infrared Spectroscopy (NIRS) 1 1 2 2 2 S. Preys , S. Roussel , N. Schafroth , N. Schnell , B. Stefanovic ® Why…
Key words
bmp, bmpmethane, methanewaste, wasteanaerobic, anaerobicnirs, nirsproduction, productiondigesters, digestersinfrared, infraredpotential, potentialwhy, whynear, nearspectroscopy, spectroscopybiogas, biogassolid, solidfreeze
Quality control of fuels (gasoline, diesel, kerosene)
2020|Metrohm|Brochures and specifications
Quality control of fuels (gasoline, diesel, kerosene) Fast results with NIR pre-calibrations HIGHLIGHTS − Chemical and physical parameters − Based on real product spectra − Can be used by non-specialists Pre-calibrations expedite and simplify quality control of fuels Metrohm offers…
Key words
pre, precalibrations, calibrationscetane, cetanecalibration, calibrationmodels, modelspoint, pointdensity, densityindex, indexvision, visionchemical, chemicaldiesel, dieselflash, flasharomatics, aromaticsgasoline, gasolineexpertise
Determination of water content in moisturizing skin creams using near-infrared spectroscopy
2017|Metrohm|Applications
NIR Application Note NIR–055 Determination of water content in moisturizing skin creams using near-infrared spectroscopy water content Near-infrared spectroscopy (NIRS) was used as an analysis method for quality control of skin creams. A model for the quantification of the water…
Key words
creams, creamsnirs, nirsmoisturizing, moisturizingcontent, contentmethod, methodspectroscopy, spectroscopyregression, regressionwater, waterslurry, slurrykarl, karlfischer, fischerskin, skincup, cupwere, werenir
Purity, degree of substitution (DS), and moisture content of carboxymethyl cellulose (CMC)
|Metrohm|Applications
NIR Application Note NIR-31 Purity, degree of substitution (DS), and moisture content of carboxymethyl cellulose (CMC) NIR values / % Moisture content Reference values / % This Application Note shows that Vis-NIR spectroscopy can be used to quantify three important…
Key words
carboxymethyl, carboxymethylcellulose, cellulosesev, sevcmc, cmcnir, nirmoisture, moisturesep, seppress, presswavelength, wavelengthregression, regressionvalue, valuecentered, centeredcontent, contentsec, secpurity