Chlorite mineral species identification method based on near infrared reflectance spectroscopy

Abstract

The invention belongs to the technical field of chlorite mineral identification and discloses a chlorite mineral species identification method based on near infrared reflectance spectroscopy. The method comprises the following steps: acquiring a near infrared reflection spectrum of a field chlorite mineral species through nondestructive surface measurement; performing smooth denoising processing on spectrum data, and determining a characteristic absorption peak by adopting Gaussian-Lorentzian function fitting; performing spectral curve smoothing data preprocessing on the near infrared reflection spectrum data in a data processing terminal, and performing peak-differentiating and imitating on the characteristic absorption peak of the curve subjected to a spectrum data smoothing link; and according to a linear statistical relationship between a position of the characteristic absorption peak and content of iron in chlorite, rapidly identifying the subspecies type of a chlorite mineral according to the position of the characteristic absorption peak. The method disclosed by the invention can enable field staff to obtain subspecies information of the chlorite mineral in an alteration zone in real time, shortens time required by laboratory rock and mineral identification, eliminates a sample preparation step, is time-saving and labor-saving and also saves fund.

Description

technical field [0001] The invention belongs to the technical field of chlorite mineral identification, in particular to a method for identifying chlorite mineral types based on near-infrared reflection spectrum. Background technique [0002] At present, the identification of iron-rich and magnesium-poor and magnesium-rich and iron-poor subspecies of chlorite minerals mainly relies on electron probe microanalysis: the electron probe instrument irradiates the surface of the sample with the help of a finely focused electron beam, thereby making the sample elements The X-rays are excited, and then use the wavelength dispersive spectrum detection equipment and counting system to detect the wavelength and intensity of the rays, so that the element types and proportions of the corresponding samples can be obtained. By analyzing the wavelength or characteristic energy of the ray, the specific elements of the sample can be obtained, which is a typical qualitative analysis, and combi...

AI Technical Summary

Problems solved by technology

[0005] (1) The existing electronic probe equipment is a large laboratory instrument with high accuracy, but it cannot be tested in the field, and the electronic probe equipment cannot be miniaturized.

[0006] (2) The samples tested by the existing electronic probe need to grind the probe sheet, so the original sample cannot be directly tested

[0007] (3) In the prior art, there is no method for subdividing mineral subcategories by using near-infrared reflectance spectroscopy; field workers cannot obtain real-time subspecies information of chlorite minerals in the alteration zone, and laboratory rock ore identification is time-consuming Labor-intensive, can not save the steps of sample preparation, resulting in high cost

[0008] (4) Mineral subtypes cannot be identified in the existing field field

[0009] Difficulty in solving the above technical problems: The electronic probe instrument has a precise and complex structure, including electron guns, focusing and accelerating components, X-ray detection devices, vacuum sample chambers, etc.

Therefore, direct attempts to miniaturize electron probe instruments are not feasible

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