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Fluorescence-free 785 nm material identification with MIRA XTR DS

Technical notes | 2021 | MetrohmInstrumentation
RAMAN Spectroscopy
Industries
Homeland Security
Manufacturer
Metrohm

Summary

Significance of the Topic


Raman spectroscopy is a key analytical tool in chemistry and materials science but is often hampered by fluorescence interference when laser light excites the sample. This background emission reduces signal to noise and obscures characteristic Raman peaks, limiting on-site identification of hazardous, illicit or complex mixtures. Effective fluorescence suppression in a compact, handheld instrument expands the practical reach of Raman analysis for first responders, security personnel, food quality assessment and industrial applications.

Objectives and Overview of the Study


This white paper introduces the MIRA XTR DS handheld Raman system and evaluates its ability to extract pure Raman spectra from highly fluorescent samples. The study compares its performance against traditional 785 nm and 1064 nm handheld devices, demonstrating improvements in sensitivity, resolution and sample safety. Key goals include assessing spectral extraction quality, library matching reliability and operational benefits for field use.

Methodology and Instrumentation


The MIRA XTR DS employs a low cost 785 nm diode laser, silicon detector array and patent pending XTR spectral extraction algorithm. Automatic SmartAcquire routines optimize laser power, integration time and spectral averaging. Custom attachments support vial interrogation, contact sampling and standoff measurements. An orbital raster scanning feature spreads laser energy to prevent sample damage.

Used Instrumentation


  • MIRA XTR DS handheld Raman analyzer
  • 785 nm low power diode laser
  • Silicon based detector
  • Intelligent Universal Attachment and vial holder
  • Orbital Raster Scanning capability
  • HazMasterG3 software and mobile MIRA Cal M app

Main Results and Discussion


MIRA XTR DS successfully extracted Raman signatures from highly fluorescent hydrocarbons, excipients and colored materials. Mixture studies resolved individual components in diesel fuel and methamphetamine blends that were obscured by fluorescence in standard spectra. Testing of common excipients such as gum Arabic and microcrystalline cellulose showed clear peak resolution absent in traditional 785 or 1064 nm spectra. Dark plastic and cardboard samples avoided burning under 785 nm low power XTR interrogation, whereas high energy lasers in competing devices caused immediate damage. Authentication tests distinguished real from imitation honey and discriminated acetyl fentanyl versus butyryl fentanyl by revealing unique Raman features in the 600 to 800 cm-1 region.

Benefits and Practical Applications


  • Fluorescence free detection with low power laser ensures minimal sample damage
  • Compact rugged design ideal for field operations
  • Automated acquisition and extraction streamline workflows
  • Extensive spectral library supports over 21000 substances
  • Mixture matching and trace detection capabilities enhance forensic, security and QAQC tasks

Future Trends and Applications


Advances may include integration of machine learning for automated substance classification, expansion of spectral libraries for emerging threats and adaptation to deeper standoff detection. Development of miniaturized optical components and battery improvements will further extend deployment in remote or hostile environments. Integration with networked decision support systems can accelerate intelligence sharing.

Conclusion


The MIRA XTR DS represents a significant evolution in handheld Raman spectroscopy by resolving the long standing challenge of fluorescence interference. Its combination of low cost laser, silicon detector and advanced spectral extraction enables reliable, on-site identification across diverse sample types with minimal user intervention and enhanced safety.

References


  1. Cadusch PJ Hlaing MM Wade SA et al Fluorescence Background Subtraction from Raman Spectra J Raman Spectrosc 2013 44 1587–1595
  2. Wei D Chen S Liu Q Review of Fluorescence Suppression Techniques in Raman Spectroscopy Appl Spectrosc Rev 2015 50 387–406
  3. Rojalin T Kurki L Laaksonen T et al Time Resolved Raman Spectroscopy of Pharmaceuticals Using CMOS SPAD Detector Anal Bioanal Chem 2016 408 761–774
  4. Sequentially Shifted Excitation Raman Spectroscopy Spectroscopy Online 2021
  5. Conti C Botteon A Bertasa M et al Portable Sequentially Shifted Excitation Raman Spectroscopy for Painted Surfaces Analyst 2016 141 4599–4607
  6. Albrecht AC On the Theory of Raman Intensities J Chem Phys 1961 34 1476–1484
  7. Wilson EB Decius JC Cross PC Molecular Vibrations J Electrochem Soc 1955 102 235Ca
  8. Li Vigni M Durante C Michelini S et al Assessment of Parmigiano Reggiano Authenticity by Handheld Raman Foods 2020 9 1563
  9. Metrohm AG Identification of Structurally Similar Sugars by Portable Raman Spectrometer Metrohm AG Herisau 2015 AN-RS-002
  10. Logan BG Hopkins DL Schmidtke LM Authenticating Australian Beef Production by Raman Spectroscopy Food Control 2021 121 107652
  11. Armenian P Vo KT Barr Walker J Comprehensive Review of Fentanyl Analogs Neuropharmacology 2018 134 121–132

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