GCMS
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike

Vis-NIR spectroscopic analysis of wood pulps for multiparameter prediction

Applications |  | MetrohmInstrumentation
NIR Spectroscopy
Industries
Materials Testing
Manufacturer
Metrohm

Summary

Significance of the topic


Efficient quality control in pulp production is crucial to maintain product consistency, reduce processing costs and limit environmental impact. Traditional laboratory assays for key parameters such as kappa number, freeness and mechanical strength are time-consuming and generate chemical waste. Implementing rapid, non-destructive spectroscopic techniques can streamline operations and support real-time monitoring in the pulp and paper industry.

Objectives and overview


This study aimed to evaluate visible-near-infrared (Vis-NIR) spectroscopy as a single-step method to quantify six critical wood pulp attributes:
  • Kappa number
  • Applied density
  • Pulp freeness
  • Breaking strength (SCT)
  • Buckling strength (RCT)
  • Tensile strength

Instrumentation used


The following equipment was employed for spectral acquisition and data analysis:
  • NIRS DS2500 Analyzer (Metrohm part no. 2.922.0010) operating in reflection mode over 400–2500 nm
  • Vision 4.03 software (Metrohm part no. 6.6069.102) for chemometric modeling

Methodology


A set of 236 standard paper hand sheets with reference values for the target parameters was measured in triplicate. Spectral regions affected by water absorption around 1400 nm and 1900 nm were excluded. Data preprocessing included a second derivative transformation and standard normal variate correction to minimize baseline and scatter variations. Partial least squares (PLS) regression models were developed with internal cross-validation to predict each parameter simultaneously.

Main results and discussion


Strong correlations between Vis-NIR predictions and reference analyses were observed:
  • Kappa number: R² = 0.986; SEC = 2.9 mg; SECV = 3.0 mg
  • Pulp freeness: R ≈ 0.785; SEC = 68 mL; SECV = 71 mL
  • Breaking strength: R² = 0.803; SEC = 2.5 MPa; SECV = 2.6 MPa
  • Buckling strength: R² = 0.768; SEC = 7.2 MPa; SECV = 7.4 MPa
  • Tensile strength: R = 0.874; SEC = 5 MPa; SECV = 5 MPa
  • Applied density: R = 0.903; SEC = 0.0292 g/cm³; SECV = 0.0308 g/cm³
These results demonstrate the feasibility of capturing multiple pulp quality metrics within a 30 s measurement, offering significant time savings over conventional chemical and mechanical tests.

Benefits and practical applications


Vis-NIR spectroscopy delivers:
  • Rapid, simultaneous quantification of multiple parameters
  • Elimination of chemical reagents and associated waste
  • Non-destructive analysis suitable for high-throughput quality control
  • Cost and time efficiency for laboratory and process environments

Future trends and potential applications


Emerging developments may further enhance Vis-NIR utility:
  • Integration of online and inline process monitoring systems
  • Advanced chemometric methods and machine learning algorithms
  • Portable spectrometers for on-site measurements
  • Combination with hyperspectral imaging for spatially resolved analysis

Conclusion


Vis-NIR spectroscopy using a DS2500 analyzer and PLS modeling provides a robust, fast and environmentally friendly alternative to traditional pulp testing. Its ability to predict key quality attributes in a single measurement supports efficient QA/QC workflows and aligns with sustainable manufacturing goals.

References


  • Metrohm, NIR Application Note NIR-39: Vis-NIR spectroscopic analysis of wood pulps for multiparameter prediction

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

Downloadable PDF for viewing
 

Similar PDF

Toggle
Simultaneous determination of xanthan gum, optical density, and glucose in aqueous solutions by Vis-NIRS
NIR Application Note NIR–52 Simultaneous determination of xanthan gum, optical density, and glucose in aqueous solutions by Vis-NIRS Near-infrared spectroscopy (NIRS) was used as an analysis method for quality control of aqueous xanthan gum solutions. Quantitative models for the determination…
Key words
xanthan, xanthangum, gumnirs, nirssecv, secvxds, xdsglucose, glucosevis, vissep, seppls, plsoptical, opticalnir, nirrapidliquid, rapidliquidvalues, valuesmethod, methodmetrohm
Determination of cotton linter to wood ratio in cellulose
NIR Application Note NIR-32 Determination of cotton linter to wood ratio in cellulose This Application Note shows that Vis-NIR spectroscopy can be used to determine the cotton linter to wood ratio in cellulose samples. This ratio is important in pulp…
Key words
linter, linterwood, woodnir, nirvis, vispulp, pulpcotton, cottoncellulose, celluloseviscosity, viscosityvisible, visiblemetrohm, metrohmsev, sevchemometrical, chemometricalratio, ratiospectroscopy, spectroscopywavelength
Quantification of five effective components in pesticides by visible near-infrared spectroscopy
NIR Application Note NIR–056 Quantification of five effective components in pesticides by visible near-infrared spectroscopy This Application Note shows that visible near-infrared spectroscopy (Vis-NIRS) can be used for the quantification of five effective insecticide and herbicide components (Abamectin emulsifiable concentrate…
Key words
abamectin, abamectincypermethrin, cypermethrincyhalothrin, cyhalothringlyphosate, glyphosateemamectin, emamectinsecv, secvregression, regressionsec, secraw, rawtreatment, treatmentwavelength, wavelengthnirs, nirsmodel, modeldescription, descriptioneffective
Quantification of Baicalin content in scutuellaria baicalensis powder (herbal supplements) by Vis-NIRS
NIR Application Note NIR–057 Quantification of Baicalin content in scutuellaria baicalensis powder (herbal supplements) by Vis-NIRS This Application Note shows that visible near-infrared spectroscopy (Vis-NIRS) can be used for the quantification of Baicalin content in herbal supplements. Vis-NIRS is a…
Key words
baicalensis, baicalensisscutellaria, scutellariabaicalin, baicalinnirs, nirsvis, visherbal, herbalmedicine, medicinescutuellaria, scutuellariaregression, regressionquantification, quantificationpowder, powdermethod, methodspectroscopy, spectroscopytreatment, treatmenttraditional
Other projects
LCMS
ICPMS
Follow us
More information
WebinarsAbout usContact usTerms of use
LabRulez s.r.o. All rights reserved. Content available under a CC BY-SA 4.0 Attribution-ShareAlike