As we all know, spectral analysis is based on the constant movement of atoms and molecules in matter. The internal movement of this substance can be reflected in the form of energy radiation and absorption on the outside. This form is electromagnetic radiation. The spectrum is electromagnetic radiation arranged in the order of wavelengths. Since the motion of atoms and molecules is diverse, the types of spectroscopic and spectral analysis instruments are also varied. Generally according to the wavelength and measurement methods can be divided into:
R-ray 0.005~1.4 into
  X-ray 0.1~100 into
  Optical Spectrum 100 into ~300μm
  Microwave spectrum 0.3mm~lm
  The optical spectrum can be divided into:
  Vacuum ultraviolet spectrum 100-200. Into
  Near-ultraviolet spectroscopy 2000 into ~ 3800 into
  Visible light spectrum 3500 into a 7800 into
  Near-infrared spectroscopy 7800 into ~3μm
  Far infrared spectrum 3~30. Μm
  Spectrometer advantages:
  1. The sampling method is flexible. The detection and analysis of rare and precious metals can save the loss caused by sampling.
  2. The test rate is high, multi-channel instantaneous multi-point acquisition can be set, and real-time output through the calculator.
  3. Non-destructive testing can be done for some mechanical parts without damaging the sample for nondestructive testing.
  4. Faster analysis, more suitable for pre-fire analysis or field analysis, so as to achieve rapid detection.
  5. The accuracy of the analysis results is based on the chemical analysis standards.
  Disadvantages of spectrum analyzers:
  1. It is difficult to accurately detect non-metals and elements between metals and non-metals.
  2. It is not the original method and cannot be used as an arbitration analysis method. The test results cannot be used as the basis for national certification.
  3. Due to the relative monopoly of products of various companies, the cost of purchase and maintenance is relatively high, and the cost performance is relatively low.
  4. A large number of representative samples are required for chemical analysis modeling, which is obviously impractical for small batch sample testing.
  5. The model needs to be constantly updated. The model also changes when the instrument changes or the standard sample changes.
  6. The cost of modeling is very high, and the cost of testing is relatively large. Of course, when testing a large number of samples, the test cost will decrease.
  7. It is susceptible to external or internal factors such as the parameters of the optical system. Curve nonlinearity often occurs, which has a great influence on the accuracy of the detection results.
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