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Related Concept Videos

UV–Vis Spectrometers01:14

UV–Vis Spectrometers

The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell. Samples for...
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Spectrophotometry: Introduction

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Characterization of Biological Absorption Spectra Spanning the Visible to the Short-Wave Infrared
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Multi-Parameter Wavelength Characterization of Array Spectrometers Under Near-Limit Sampling Conditions.

Du Bo1, Liu Liying2,3, Wu Dongli1

  • 1Meteorological Observation Centre of China Meteorological Administration, Beijing, 100081, China.

Applied Spectroscopy
|July 1, 2026
PubMed
Summary

Accurate wavelength characterization is crucial for spectral measurements. This study reveals sampling conditions significantly impact wavelength definitions and resolution metrics in array spectrometers, necessitating a coupled approach for precise calibration.

Keywords:
Wavelength characterizationarray spectrometernear-limit samplingspectral resolutionwavelength calibration accuracy

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Area of Science:

  • Spectroscopy and Optical Instrumentation
  • Remote Sensing and Earth Observation

Background:

  • Precise wavelength characterization is vital for high-accuracy spectral measurements, especially in applications like solar-induced chlorophyll fluorescence (SIF) retrieval.
  • Array spectrometers utilize various metrics for wavelength definition (peak, center, centroid) and spectral resolution (FWHM, ERW), which can be sensitive to sampling conditions.

Purpose of the Study:

  • To systematically investigate how sampling conditions influence wavelength characterization in array spectrometers.
  • To analyze discrepancies among different wavelength definitions and spectral resolution metrics under near-limit sampling.
  • To propose a multi-parameter approach for robust wavelength calibration and performance assessment.

Main Methods:

  • Employed a crossed Czerny-Turner array spectrometer operating in the 650-800 nm range.
  • Utilized the sampling ratio concept to define near-limit sampling conditions (2-5 pixels per spectral peak).
  • Experimentally evaluated the impact of sampling variations on peak, center, and centroid wavelength definitions and FWHM/ERW resolution metrics.

Main Results:

  • Significant discrepancies were observed among characteristic wavelength definitions due to discrete sampling and spectral peak shape.
  • Peak-based estimations were sensitive to local sampling, while centroid-based definitions responded to energy distribution and asymmetry.
  • A divergence between ERW and FWHM highlighted their dependence on both geometric width and spectral energy distribution.

Conclusions:

  • Wavelength characterization is an interdependent problem involving sampling, peak representation, and resolution metrics, not independent parameters.
  • A proposed multi-parameter approach clarifies relationships between sampling ratio, wavelength definitions, and spectral resolution.
  • This framework offers a physically interpretable basis for calibrating and evaluating array spectrometers under challenging sampling conditions.