Collection: 10500nm Bandpass Filter

Operating in the mid-infrared (MIR) spectrum, 10500nm light exhibits distinct absorption characteristics for specific molecules like CO₂ and H₂O, combined with relatively low water vapor interference and moderate atmospheric penetration, enabling effective material identification and spectroscopic analysis.

  • Application 1: (Industrial Gas Analysis) This filter precisely isolates 10500nm light to facilitate real-time monitoring of CO₂ concentrations in high-temperature industrial furnaces, leveraging the wavelength's unique absorption signature to optimize combustion efficiency and ensure compliance with emission control standards.
  • Application 2: (Environmental Remote Sensing) By rejecting extraneous wavelengths, the 10500nm bandpass filter enhances sensor sensitivity for vegetation water content mapping. It capitalizes on plant leaf spectral responses in this band to non-invasively infer moisture distribution patterns across large geographic areas.
  • Application 3: (Infrared Thermal Imaging) Designed to block interference from adjacent spectral bands, this filter enables high-contrast thermal imaging of high-temperature targets, such as industrial pipeline leaks or overheating electrical components, by focusing exclusively on the 10500nm radiation emitted from thermal anomalies.

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10.5μm Filter Selection Guide for Specific Applications

I. SF6 Gas Leak Detection Systems

Application Context

In the power industry, SF6 gas is widely used as an insulating medium in high-voltage equipment. However, leaks can lead to equipment failure and environmental risks. Detection systems based on Non-Dispersive Infrared (NDIR) technology require precise capture of SF6's characteristic absorption peak at 10.56μm.

Filter Configuration Requirements

  1. Central Wavelength (CWL): 10.56μm ± 0.05μm
  • Must strictly match the absorption peak of SF6 molecules in the mid-infrared band (10.56μm) to ensure signal specificity. Wavelength deviations exceeding ±0.1μm may cause misdetection of other gases (e.g., CO₂ absorption at 10.6μm).
  1. Bandwidth (FWHM): 150–200nm
  • Narrow-band design eliminates interference from adjacent wavelength bands (e.g., water vapor absorption in 9–11μm) while maintaining sufficient light flux for improved signal-to-noise ratio. Excessively narrow bandwidth reduces signal strength, while overly wide bandwidth decreases detection accuracy.
  1. Peak Transmittance (Tavg): ≥80%
  • High transmittance ensures the detector receives adequate infrared energy, especially for long-distance detection (e.g., leaks 5 meters away), reducing reliance on high-power light sources. Transmittance below 70% may require increased light intensity or extended integration time, leading to response delays.
  1. Cutoff Range: 2–18μm (outside passband)
  • Full-band cutoff design suppresses interference from visible light (0.4–0.76μm) and other infrared bands (e.g., 3–5μm thermal radiation), preventing background noise from masking weak SF6 absorption signals. For example, high-temperature industrial equipment emitting strong 3–5μm radiation must be completely blocked by the filter's cutoff coating.
  1. Substrate Material: Single-Crystal Silicon (Si)
  • Silicon offers high transmittance (>90%) in 8–14μm and excellent mechanical strength, suitable for industrial environments with vibrations and temperature fluctuations. Compared to germanium (Ge) substrates, silicon is more cost-effective and requires no additional anti-reflective coatings (uncoated Ge has ~36% reflectance at 10.5μm, needing ZnS/MgF₂ composite coatings for improvement).

Key Advantages

  • Precision Identification: Narrow-band filters achieve specific SF6 detection through spectral matching, solving the problem of humidity and cross-gas interference plaguing traditional electrochemical sensors. In mixed-gas environments (e.g., containing CO₂ and H₂O), this filter reduces false alarm rates to below 0.1%.
  • Environmental Durability: Silicon substrates with hard coatings (e.g., diamond-like carbon) withstand temperature fluctuations from -40°C to 85°C and high humidity (RH>95%), making them suitable for harsh outdoor substation environments.

II. High-Temperature Object Surface Temperature Monitoring Systems

Application Context

Industrial heating equipment (e.g., furnaces, heat treatment ovens) requires real-time surface temperature monitoring to optimize process parameters. High-temperature objects (>200°C) emit most of their radiation in the 8–14μm band, with a typical peak around 10.5μm.

Filter Configuration Requirements

  1. Spectral Range: 8–14μm Long-Pass (LP)
  • Covers the primary energy range of blackbody radiation (8–14μm accounts for over 60% of total radiation from high-temperature objects) while excluding mid-wave infrared (3–5μm) interference. For example, furnace flames emitting strong 3–5μm radiation are filtered out by the long-pass design.
  1. Cutoff Steepness: Transition region <5% (7.5–8μm)
  • A sharp cutoff edge prevents mid-wave infrared signals from mixing in, improving temperature measurement accuracy. Wide transition regions (>10%) may cause overestimated temperature readings due to mixed 3–5μm radiation.
  1. Peak Transmittance: ≥85% (8–14μm)
  • High transmittance ensures the detector captures sufficient radiation energy, especially at lower temperatures (e.g., 10.5μm radiation intensity is only 30% of the peak at 200°C). Transmittance below 80% may lead to missed detection in low-temperature ranges.
  1. Substrate Material: Germanium (Ge) or Zinc Sulfide (ZnS)
  • Germanium: Offers >90% transmittance in 8–14μm but requires anti-reflective coatings (e.g., ZnS/MgF₂) to reduce surface reflectance (36% for uncoated Ge). Suitable for high-precision measurements but higher cost.
  • Zinc Sulfide: Provides ~85% transmittance with better temperature resistance (up to 400°C) and no need for coatings. Ideal for high-temperature environments (e.g., furnace surfaces), though slight chromatic aberration may occur due to its refractive index (2.2) at 10.5μm.

Key Advantages

  • Wide Dynamic Response: Long-pass filters cover 200–1000°C temperature ranges. According to Wien's displacement law (λmax=2898/T), 10.5μm corresponds to a peak temperature of ~276°C, ensuring high sensitivity across the full 量程. For example, 10.5μm radiation intensity increases ~12x as temperature rises from 300°C to 800°C, requiring linear response from the filter.
  • Interference Resistance: By blocking mid-wave infrared, these filters effectively exclude environmental light (e.g., workshop lighting) and self-luminescence from high-temperature metals, solving the failure problem of traditional visible-light thermometers under strong light.

III. Key Configuration Comparisons and Selection Logic

Core Objectives

  • SF6 Gas Detection: Precise capture of specific gas absorption peaks
  • Temperature Monitoring: Broad-band coverage of blackbody radiation energy

Spectral Design

  • SF6 Detection: Narrow-band (10.56μm ±0.05μm, 150–200nm bandwidth)
  • Temperature Monitoring: Long-pass (8–14μm, transition region <5%)

Material Selection

  • SF6 Detection: Silicon substrates (cost-effective + high mechanical strength)
  • Temperature Monitoring: Germanium or zinc sulfide (high transmittance + high-temperature resistance)

Performance Priorities

  • SF6 Detection: Specificity > Light Flux > Environmental Tolerance
  • Temperature Monitoring: Light Flux > Thermal Stability > Interference Resistance

Typical Challenges

  • SF6 Detection: Excluding adjacent gas absorption interference
  • Temperature Monitoring: Suppressing mid-wave infrared and visible light background noise

Selection Decision

  1. For molecular-specific detection (e.g., gas composition analysis), prioritize narrow-band filters with central wavelengths strictly matching the target gas absorption peak (e.g., 10.56μm for SF6).
  2. For wide-range temperature monitoring, choose long-pass filters. Select materials based on environmental temperature (ZnS for >300°C, Ge for <300°C) and cost requirements.
  3. In mixed scenarios (e.g., gas leak detection in high-temperature environments), use dual-band filter designs: a 10.56μm narrow band for gas detection and an 8–14μm long-pass for temperature compensation. Algorithm fusion eliminates temperature effects on gas absorption.

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