NanoRam® -1064 Fast Facts: Raw Material Verification of Cellulose and its Derivatives
Applications | 2020 | MetrohmInstrumentation
Cellulose and its derivatives serve as critical excipients and raw materials across pharmaceutical formulations, medical dressings and personal care products. Rapid and accurate identification of these substances ensures quality control, regulatory compliance and prevents costly misidentifications. Traditional handheld Raman instruments using 785 nm excitation often struggle with fluorescence interference in cellulose, limiting their effectiveness in real-world pharmaceutical settings.
This study evaluates the performance of the NanoRam-1064 handheld Raman spectrometer to verify raw materials of cellulose and four common derivatives. Key goals include:
A NanoRam-1064 system equipped with a point-and-shoot adaptor was used. Samples were contained in Whirl-Pak® bags and scanned at five distinct spots to build multivariate models. Key parameters:
Comparison of Raman spectra confirmed that the 1064 nm laser substantially reduces fluorescence background compared to 785 nm excitation, revealing sharper cellulose features. Each derivative model demonstrated high specificity: true materials produced p-values above the 0.05 threshold (Pass), while non-matching samples yielded p-values below 0.05 (Fail). Example results:
This specificity matrix validates that the NanoRam-1064 can unambiguously distinguish among closely related cellulose materials in seconds.
The NanoRam-1064 offers:
These advantages streamline incoming material checks, reduce laboratory bottlenecks and enhance supply chain integrity.
Advancements may include:
Such developments will further decrease time-to-result and broaden handheld Raman adoption across industries.
The NanoRam-1064 handheld Raman spectrometer effectively suppresses cellulose fluorescence and delivers robust, multivariate identification of cellulose and derivatives. Its compliance with pharmacopeial standards and FDA 21 CFR Part 11 makes it an ideal tool for rapid, reliable raw material verification in pharmaceutical and related applications.
RAMAN Spectroscopy
IndustriesPharma & Biopharma
ManufacturerMetrohm
Summary
Significance of the Topic
Cellulose and its derivatives serve as critical excipients and raw materials across pharmaceutical formulations, medical dressings and personal care products. Rapid and accurate identification of these substances ensures quality control, regulatory compliance and prevents costly misidentifications. Traditional handheld Raman instruments using 785 nm excitation often struggle with fluorescence interference in cellulose, limiting their effectiveness in real-world pharmaceutical settings.
Objectives and Study Overview
This study evaluates the performance of the NanoRam-1064 handheld Raman spectrometer to verify raw materials of cellulose and four common derivatives. Key goals include:
- Demonstrate fluorescence suppression using 1064 nm excitation versus 785 nm.
- Develop and validate multivariate identification methods for cellulose, methyl cellulose, sodium carboxy-methyl cellulose, cellulose acetate and ethyl cellulose.
- Assess specificity of each method by statistical analysis of pass/fail criteria.
Methodology and Instrumentation
A NanoRam-1064 system equipped with a point-and-shoot adaptor was used. Samples were contained in Whirl-Pak® bags and scanned at five distinct spots to build multivariate models. Key parameters:
- Laser wavelength: 1064 nm; power set to 90% (~380 mW).
- Identification mode: multivariate statistical analysis.
- Software compliance: FDA 21 CFR Part 11 with full audit trail.
Main Results and Discussion
Comparison of Raman spectra confirmed that the 1064 nm laser substantially reduces fluorescence background compared to 785 nm excitation, revealing sharper cellulose features. Each derivative model demonstrated high specificity: true materials produced p-values above the 0.05 threshold (Pass), while non-matching samples yielded p-values below 0.05 (Fail). Example results:
- Cellulose vs. cellulose method: p = 1 (Pass).
- Methyl cellulose vs. cellulose method: p = 0 (Fail).
This specificity matrix validates that the NanoRam-1064 can unambiguously distinguish among closely related cellulose materials in seconds.
Benefits and Practical Applications
The NanoRam-1064 offers:
- Fluorescence mitigation for natural polymers.
- Rapid, non-destructive raw material verification without sample preparation.
- Regulatory-grade data handling for pharmaceutical QA/QC.
These advantages streamline incoming material checks, reduce laboratory bottlenecks and enhance supply chain integrity.
Future Trends and Opportunities
Advancements may include:
- Expanded libraries for other excipients and complex formulations.
- Integration of AI-driven spectral interpretation for autonomous verification.
- Cloud-based data sharing to support distributed manufacturing and global regulatory submissions.
Such developments will further decrease time-to-result and broaden handheld Raman adoption across industries.
Conclusion
The NanoRam-1064 handheld Raman spectrometer effectively suppresses cellulose fluorescence and delivers robust, multivariate identification of cellulose and derivatives. Its compliance with pharmacopeial standards and FDA 21 CFR Part 11 makes it an ideal tool for rapid, reliable raw material verification in pharmaceutical and related applications.
Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.
Similar PDF
Reduced Variable Multivariate Analysis for Material Identification with the NanoRam®-1064
2019|Metrohm|Applications
For more information, please contact: [email protected] or +1 (855) 297-2626 Reduced Variable Multivariate Analysis for Material Identification with the NanoRam®-1064 Raman spectroscopy is a widely used technique for rapid material identification and verification based on the chemical signature that is…
Key words
opadry, opadryraman, ramancellulose, cellulosetalc, talcmultivariate, multivariatepca, pcapolysorbate, polysorbategelatin, gelatinstearate, stearatespectrum, spectrumbaby, babycorn, corndiesel, dieselidentification, identificationrvm
Pros and Cons of Using Correlation versus Multivariate Algorithms for Material Identification via Handheld Spectroscopy
2019|Metrohm|Technical notes
For more information, please contact: [email protected] or +1 (302) 368-7824 Pros and Cons of Using Correlation versus Multivariate Algorithms for Material Identification via Handheld Spectroscopy Introduction The development of portable and handheld spectroscopic instruments in the past decade has introduced…
Key words
alanine, alaninecarbonate, carbonateaspartic, asparticpotassium, potassiumcysteine, cysteinesesquihydrate, sesquihydratefail, failhcl, hclhclhcl, hclhclhqi, hqiacid, acidhandheld, handheldhydrochloride, hydrochloridelibrary, libraryraman
Identification of Additives used in the Pharmaceutical and Food Industries with the NanoRam Handheld Raman Spectrometer
2012|Metrohm|Applications
Identification of Additives used in the Pharmaceutical and Food Industries with the NanoRam Handheld Raman Spectrometer Today’s Raman instrumentation is faster, more rugged, and less expensive than previous instrumentation. Now, with the advances in component miniaturization, the design of high…
Key words
fail, failhpmc, hpmcnanoram, nanoramcellulose, cellulosemaltodextrin, maltodextrinraman, ramanlactose, lactosehandheld, handheldpass, passvalue, valueadditives, additivessweetening, sweeteningthermoelectric, thermoelectricmaterials, materialsfillers
Rapid Raw Material Identification for Formulation Compounds Using Handheld Raman Technology
|Metrohm|Applications
Rapid Raw Material Identification for Formulation Compounds Using Handheld Raman Technology Dawn Yang, Chris Ye Ever since the European Medicines Agency (EMA) recommended that all pharmaceutical companies test every raw material that passes through their manufacturing facilities, this practice has…
Key words
fail, failnanoram, nanorampass, passdihydrate, dihydratewhey, wheydibasic, dibasicsorbitol, sorbitolstearic, stearicraw, rawhandheld, handheldraman, ramancalcium, calciummaterial, materialphosphate, phosphatefirstly