NanoRam® -1064 Fast Facts: Raw Material Verification of Cellulose and its Derivatives
Applications | 2020 | MetrohmInstrumentation
Cellulose and its derivatives serve as fundamental components across various pharmaceutical formulations, ranging from tablets and creams to gauze and sunscreens. Reliable raw material verification is crucial to ensure product quality and regulatory compliance. Traditional handheld Raman spectroscopy at 785 nm often suffers from overwhelming fluorescence when analyzing cellulose, which masks characteristic Raman signals and impedes accurate identification. The NanoRam-1064, utilizing a 1064 nm laser, significantly reduces fluorescence interference, enabling precise and rapid cellulose analysis in pharmaceutical environments.
This study aimed to demonstrate the capability of the NanoRam-1064 handheld Raman spectrometer to distinguish five cellulose-based materials using multivariate identification models. The focus was on establishing method specificity, robustness, and compliance with major pharmacopeial Raman chapters and FDA 21 CFR Part 11 requirements.
Five types of cellulose materials (cellulose powder, methyl cellulose, sodium carboxymethyl cellulose, cellulose acetate, ethyl cellulose) were analyzed under controlled conditions:
Each material was scanned at five distinct spots to build individual multivariate identification models. Identification mode employed a statistical threshold (p = 0.05) to determine pass/fail outcomes.
Specificity testing confirmed that each identification model correctly passed its target material and failed all others, illustrating high discrimination capability. Key observations include:
These findings validate the NanoRam-1064 as a reliable tool for distinguishing closely related cellulose derivatives in a pharmaceutical quality control setting.
The described approach offers several advantages for pharmaceutical raw material verification:
Emerging directions and opportunities include:
The NanoRam-1064 handheld Raman spectrometer effectively overcomes fluorescence challenges inherent to cellulose materials, enabling fast, accurate, and compliant raw material identification in pharmaceutical settings. Its robust multivariate models and regulatory readiness position it as a valuable asset for quality assurance and control laboratories.
RAMAN Spectroscopy
IndustriesPharma & Biopharma
ManufacturerMetrohm
Summary
Importance of the Topic
Cellulose and its derivatives serve as fundamental components across various pharmaceutical formulations, ranging from tablets and creams to gauze and sunscreens. Reliable raw material verification is crucial to ensure product quality and regulatory compliance. Traditional handheld Raman spectroscopy at 785 nm often suffers from overwhelming fluorescence when analyzing cellulose, which masks characteristic Raman signals and impedes accurate identification. The NanoRam-1064, utilizing a 1064 nm laser, significantly reduces fluorescence interference, enabling precise and rapid cellulose analysis in pharmaceutical environments.
Study Objectives and Overview
This study aimed to demonstrate the capability of the NanoRam-1064 handheld Raman spectrometer to distinguish five cellulose-based materials using multivariate identification models. The focus was on establishing method specificity, robustness, and compliance with major pharmacopeial Raman chapters and FDA 21 CFR Part 11 requirements.
Methodology and Instrumentation
Five types of cellulose materials (cellulose powder, methyl cellulose, sodium carboxymethyl cellulose, cellulose acetate, ethyl cellulose) were analyzed under controlled conditions:
- Instrument: B&W Tek NanoRam-1064 with point-and-shoot adaptor
- Laser power: ~380 mW (90 % of maximum)
- Sample containment: sealed in Whirl-Pak® bags to avoid contamination
- Software: FDA 21 CFR Part 11 compliant records management with full audit trail
Each material was scanned at five distinct spots to build individual multivariate identification models. Identification mode employed a statistical threshold (p = 0.05) to determine pass/fail outcomes.
Main Results and Discussion
Specificity testing confirmed that each identification model correctly passed its target material and failed all others, illustrating high discrimination capability. Key observations include:
- 1064 nm excitation markedly suppressed fluorescence, revealing clear Raman features for all cellulosic samples.
- All methods exhibited perfect specificity: p-value >0.05 for correct matches and <0.05 for non-matches.
These findings validate the NanoRam-1064 as a reliable tool for distinguishing closely related cellulose derivatives in a pharmaceutical quality control setting.
Benefits and Practical Applications
The described approach offers several advantages for pharmaceutical raw material verification:
- Rapid, non-destructive on-site analysis without sample preparation.
- High specificity and ease of use through pre-built multivariate methods.
- Full compliance with pharmacopeial Raman guidelines and FDA 21 CFR Part 11.
- Reduction of false positives/negatives due to minimized fluorescence.
Future Trends and Potential Applications
Emerging directions and opportunities include:
- Extending 1064 nm Raman methods to other fluorescent pharmaceutical raw materials.
- Development of advanced chemometric algorithms for multicomponent mixtures.
- Integration of handheld Raman data into automated digital quality systems and AI-driven workflows.
- Real-time monitoring of manufacturing processes and supply chain verification.
Conclusion
The NanoRam-1064 handheld Raman spectrometer effectively overcomes fluorescence challenges inherent to cellulose materials, enabling fast, accurate, and compliant raw material identification in pharmaceutical settings. Its robust multivariate models and regulatory readiness position it as a valuable asset for quality assurance and control laboratories.
References
- Mayle V., Frano K. Raw Material Verification of Cellulose and its Derivatives, B&W Tek LLC Application Note 410000047-A, 2020.
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, gelatinspectrum, spectrumstearate, stearatebaby, 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, carbonatepotassium, potassiumaspartic, asparticcysteine, cysteinesesquihydrate, sesquihydratefail, failhcl, hclhclhcl, hclhclhqi, hqiacid, acidhandheld, handheldhydrochloride, hydrochlorideraman, ramanlibrary
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, hpmccellulose, cellulosenanoram, nanorammaltodextrin, 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