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Agilent Cary 7000 universal measurement spectrophotometer

Brochures and specifications | 2022 | Agilent TechnologiesInstrumentation
NIR Spectroscopy, UV–VIS spectrophotometry
Industries
Manufacturer
Agilent Technologies

Summary

Importance of the Topic


Precise optical characterization of solid materials—including coatings, thin films, solar cell components, and glass—is vital for research, quality control, and product development across optics, energy, industrial, and academic sectors. A universal, high-throughput spectrophotometric system enables comprehensive analysis of reflectance, transmission, absorptance, and scattering without sample repositioning, reducing measurement time and improving data consistency.

Objectives and Study Overview


This white paper presents the Agilent Cary 7000 Universal Measurement Spectrophotometer (UMS), designed to consolidate multiple solid-sampling techniques into one automated platform. Key goals include:
  • Measuring absolute reflectance and transmission at variable angles and polarization states without moving the sample
  • Minimizing cost-per-analysis and analysis time through unattended operation
  • Delivering high photometric range and low noise for challenging materials

Methodology and Instrumentation


The Cary 7000 UMS integrates advanced optical and mechanical features:
  • Direct-view UV-Vis-NIR sandwich detector (Si/InGaAs) coupled to PMT and PbSmart technology for ultralow noise and a 10 Abs photometric range
  • Wire-grid polarizer for high energy throughput and polarization control
  • Independent sample rotation and detector positioning with 0.02° resolution enabled by a high-resolution optical encoder
  • Multimodal measurements supporting absolute specular reflectance, direct and scattered transmission/reflection, and absorptance
  • Cary WinUV software with a Method Editor for automated sequences and advanced data processing

Main Results and Discussion


Key findings demonstrate the system’s capabilities:
  • Simultaneous measurement of %R and %T at the same spot and AOI eliminates systematic errors from sample repositioning
  • High-throughput collection of hundreds of spectra overnight, accelerating solid-sample characterization from days to hours or minutes
  • Robust 10 Abs range enables accurate absorbance measurements of high-blocking filters with linearity verified through “addition of filters” tests
  • Angularly resolved scattering profiles (0–360°) captured with 0.04° intervals, revealing detailed diffuse reflection and transmission from substrates like uncoated silicon wafers and CDs
  • Comprehensive glass QA/QC in under 20 minutes for regulatory standards (ISO 9050, EN 410), including s/p-polarized reflectance and transmittance at ±60° AOI

Benefits and Practical Applications


The unified measurement approach of the Cary 7000 UMS delivers:
  • Lower operational costs and faster throughput for QA/QC in optics, coatings, solar, and glass industries
  • Enhanced research insights for academic and industrial labs studying metamaterials, surface plasmons, and nanocomposites
  • Flexible integration with existing Cary 4000/5000/6000i via the Universal Measurement Accessory (UMA)
  • User-friendly software supporting custom glass reports, 3D data visualization, and advanced analysis workflows

Future Trends and Applications


Emerging areas poised to benefit from universal spectrophotometry include:
  • Next-generation solar absorbers and concentrator materials requiring angle-dependent optical diagnostics
  • Metamaterial and plasmonic research exploiting high-resolution angular scattering measurements
  • Advanced filtration and protective eyewear with multilayer coatings beyond 10 Abs absorptance
  • Automated, high-volume sample handling for industrial in-line QA/QC and continuous monitoring

Conclusion


The Agilent Cary 7000 UMS represents a transformative platform for solid-sample spectrophotometry, combining multimodal measurements, rapid automation, and exceptional photometric performance. By eliminating accessory changes and sample disturbance, it significantly enhances data quality, reduces analysis time, and expands experimental possibilities across research and production environments.

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

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