CN111257352A - Method for predicting blind deposit by using chemical composition data of single nano particles - Google Patents
Method for predicting blind deposit by using chemical composition data of single nano particles Download PDFInfo
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- CN111257352A CN111257352A CN202010100162.8A CN202010100162A CN111257352A CN 111257352 A CN111257352 A CN 111257352A CN 202010100162 A CN202010100162 A CN 202010100162A CN 111257352 A CN111257352 A CN 111257352A
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Abstract
The invention belongs to the technical field of geological exploration, and particularly relates to a method for predicting a blind deposit by using chemical composition data of single nanoparticles. The method comprises the following steps: collecting a sample to be detected, preparing the sample to be detected into a test sample, analyzing single nanoparticles in the test sample by adopting a probe technology, carrying out qualitative and quantitative analysis on elements in the single nanoparticles, and predicting the blind deposit according to chemical composition data obtained by analysis. By qualitatively and quantitatively analyzing the elements in the test sample and predicting the blind deposit according to the obtained chemical composition data, the qualitative leap of the ore finding data from semi-quantitative to quantitative can be realized, more accurate and richer information about the blind ore body can be obtained, and the ore finding cost is reduced.
Description
Technical Field
The invention belongs to the technical field of geological exploration, and particularly relates to a method for predicting a blind deposit by using chemical composition data of single nanoparticles.
Background
With the rapid development of social economy, the existing earth surface resources cannot meet the development requirements of national economy, the exploration of deep blind ore bodies is urgent for meeting the requirements of rapidly-developed economy on mineral resources, and the hidden ore deposit brings many difficulties to the ore finding work due to the characteristics of large burying depth and less exposure, especially in areas with thicker covering layers.
Geophysical prospecting and geochemistry are commonly used methods for prospecting, the geophysical prospecting method cannot directly obtain mineralization abnormity information, element abnormity based on the geochemistry prospecting method can have various background reasons, and data results of the two prospecting methods have ambiguity. Once the method for finding the ore with the nanometer or near-nanometer particle characteristics is provided, the method has attracted the attention of related researchers in the field of geology.
The prior patent 201010154422.6 discloses a method for finding ores by using geogas particles, 201310000879.5 discloses a method for finding blind ore deposits by using carbon-containing particles, 201410347067.2 discloses a method for finding ores by using water particles geochemistry and application thereof, and 201410763148.0 discloses a method for finding blind ore deposits by using biological internal nanoparticles, wherein chemical components of the nanoparticles in the disclosed patent are obtained by an energy spectrum configured on a transmission electron microscope, and are semi-quantitative data, which are not favorable for more accurate prediction of blind ore bodies.
Disclosure of Invention
In view of the above problems, the present invention provides a method for predicting blind deposits by using chemical composition data of single nanoparticles, which can realize a leap from semi-quantitative to quantitative quality of the chemical composition data of single nanoparticles for prospecting.
The technical content of the invention is as follows:
a method for predicting an blind deposit using chemical composition data of a single nanoparticle, the method comprising the steps of: collecting a sample to be detected, preparing the sample to be detected into a test sample, analyzing single nanoparticles in the test sample by using a probe technology, carrying out qualitative and quantitative analysis on elements in the single nanoparticles, and predicting the blind deposit according to chemical composition data obtained by analysis;
the probe technologies include, but are not limited to, field emission electron probes, nano-ion probes, and atom probes;
the sample to be tested includes but is not limited to underground water, soil solid gas, animals, plants and fault mud;
the single nanoparticle comprises a nanoparticle and/or a near-nanoparticle in the form of a single particle;
the element further includes an isotope;
the chemical components comprise major elements, trace elements and rare earth elements;
the chemical composition data comprises element combination data, isotope content data and isotope ratio data;
the chemical composition data comprises spatial distribution of elements and isotopes in a single nanoparticle;
the basis for predicting the blind deposit also includes the shape, size, aggregation relation and ultrastructural structure of single nanoparticles.
The method for preparing the test sample from the detected sample comprises the following steps: preparing (or collecting and solidifying) solid samples from underground water, soil solid gas, fault mud, animal and plant samples, cutting the solid samples into specifications suitable for instrument testing, polishing and plating a conductive film, and analyzing by using a field emission electron probe and a nano ion probe, or loading nano particles on a carrier and analyzing by using the field emission electron probe and the nano ion probe. Making a solid sample into a needle point shape for analysis by an atom probe;
for example, a groundwater sample is made into a field emission electron probe test sample: loading resin on a glass sheet, spraying the underground water sample on the resin by using a spraying method, continuously spraying after moisture is naturally dried, repeating the steps for more than ten times to ensure that the nano particles in the underground water sample are uniformly adsorbed on the resin, and plating a carbon film on the resin for collecting the sample according to the requirements of experimental instruments;
the transmission electron microscope sample can also be prepared according to the method of the application patent 201810715754.3 "preparation method of liquid nanoparticle sample for transmission electron microscope analysis", namely, 80ml of water sample is put into a 100ml beaker washed by high-purity water, a transmission electron microscope carrier net coated with a carbon supporting film is clamped by clean tweezers and put into the water sample, the state of the carrier net in the water sample is kept and the carrier net slowly moves back and forth for about 30 minutes, nanoparticles in the water sample are adhered to the carrier net by utilizing the adsorption capacity of the carrier net, and then the transmission electron microscope carrier net for collecting the sample is coated with a carbon film to increase the conductivity of the sample and then is analyzed by a field emission electron probe.
The invention has the following beneficial effects:
the method for predicting the blind deposit by using the chemical composition data of the single nano particles can realize the qualitative and quantitative leap of the ore finding data from semi-quantitative to quantitative by qualitatively and quantitatively analyzing the elements in the single nano particles contained in the sample to be tested and predicting the blind deposit according to the obtained chemical composition data, thereby obtaining more accurate and richer information about blind ore bodies and reducing the ore finding cost.
Drawings
FIG. 1 is a graph of particle morphology in an example of a Kangjiawan lead zinc sulfide polymetallic ore bed groundwater sample;
FIG. 2 is an energy spectrum of particulates in an example Kangjiawan lead zinc sulfide polymetallic ore bed groundwater sample.
Detailed Description
The present invention is further described in the following detailed description and the accompanying drawings, which are included to illustrate the invention and not to limit the scope of the invention, and it is understood that modifications of various equivalent forms of the invention, which would occur to those skilled in the art after reading the present invention, are intended to be limited by the claims appended hereto.
All the raw materials and reagents of the invention are conventional market raw materials and reagents unless otherwise specified.
Example a method for predicting blind deposits using chemical composition data of single nanoparticles:
1) collecting a sample to be detected: selecting a mine area, and selecting proper sampling time and sampling position to collect the best natural sample, wherein the detected sample comprises but is not limited to underground water, soil solid gas, animals, plants and fault mud;
2) preparing a natural sample collected in the field into a sample to be tested which can be directly used for testing;
3) analyzing single nanometer particles in a test sample by using a field emission electron probe technology, and quantitatively analyzing elements in the nanometer particles;
4) firstly, carrying out qualitative analysis on the single nano-particles by using EDS (energy spectrum), determining contained elements, and then carrying out quantitative analysis on the single nano-particles by using WDS (wave spectrum);
5) the method can predict the blind deposit by using chemical composition data obtained by qualitative and quantitative analysis, and can also predict according to the shape, size, polymerization relation and ultrastructure of a single nanoparticle.
The specific operation is as follows:
a) selecting a mining area: under the subsidies of national natural funds 41873044 and 41473040, the Kangjiawan lead-zinc-sulfur multi-metal ore deposit in northeast of the watershed mountain ore field of Changning city, Hunan province is taken as a research object, and at present, the ore deposit is mainly mined underground. The Kangjiawan lead-zinc-sulfur multi-metal ore deposit belongs to a large-scale lead-zinc ore deposit, and the main minerals comprise galena, sphalerite, pyrite, chalcopyrite, natural gold, natural silver and the like, wherein Pb, Zn, S and Fe are main mineral forming elements, and a region which is proved but not exploited and has no artificial pollution in a No. 100-108 exploration line is selected as a working region in the embodiment;
b) selecting a proper sampling time and sampling position: 7-8 months in summer in Hunan province, high temperature and rainy days, broken ore deposits and good replenishment between underground water and surface water, in the embodiment, underground water samples are collected by a polyethylene bottle along No. 100-108 exploration lines in the period of 7-8 months;
c) selecting an optimal natural sample: water is used as a carrier with excellent geochemical information and generally exists in the nature, the working area selected by the embodiment has abundant rainfall and sufficient water source, and multiple broken mineral deposits develop and provide an excellent natural channel for underground water, so that the embodiment selects the underground water of the mineral deposits as a target sample;
d) the collected samples were prepared as test samples: the method comprises the following steps: loading resin on a glass sheet, spraying the underground water sample on the resin by using a spraying method, continuously spraying after moisture is naturally dried, repeating the steps for more than ten times to ensure that the nano particles in the underground water sample are uniformly adsorbed on the resin, and plating a carbon film on the resin for collecting the sample according to the requirements of experimental instruments;
the method 2 comprises the following steps: the transmission electron microscope sample can also be prepared according to the method of the application patent 201810715754.3 "preparation method of liquid nanoparticle sample for transmission electron microscope analysis", namely, 80ml of water sample (underground water sample) is filled in a 100ml beaker cleaned by high-purity water, a transmission electron microscope carrier net coated with a carbon supporting film is clamped by clean tweezers and put in the water sample, the state of the carrier net in the water sample is kept and the carrier net slowly moves back and forth for about 30 minutes, the nanoparticles in the water sample are adhered to the carrier net by utilizing the adsorption capacity of the carrier net, and then the transmission electron microscope carrier net for collecting the sample is plated with a carbon film to increase the conductivity of the sample and then is analyzed by a field emission electron probe;
e) the single nanoparticles were qualitatively analyzed by EDS to determine the elements contained: experiments were conducted on a field emission electron probe of model EPMA-8050G, which had backscattered electrons, EDS and WDS simultaneously, with the following relevant parameters: the resolution of a backscattered electron phase is less than or equal to 20nm, the amplification factor is 40-40 ten thousand times, the acceleration voltage is 0.5-30 kV, the range of analysis components is 4 Be-92U, in the embodiment, a backscattered electron mode is used for searching single nanoparticles in an underground water sample, as shown in figure 1, the positions of the selected particles of the nanoparticles are analyzed by EDS, related data are obtained as shown in figure 2, as can Be seen from figure 2, the characteristic peaks of elements Ni, C, Cu, Zn and O are obvious, and except the chemical composition background value of a grid (C-Ni net), the detected elements only comprise Cu, Zn and O;
f) single particles were quantified with WDS: quantifying the determined elements in the single particles, and quantitatively analyzing the particles by taking CuO and ZnO as standard samples according to component data obtained by energy spectrum test to obtain the chemical components of the single particles with accurate quantification;
the element quantification data were corrected with an electronic probe ZAF, the results of which are shown in table 1:
TABLE 1 Kanjiawan lead-zinc-sulfur polymetallic deposit groundwater single particle chemical composition
g) Predicting the blind deposit by qualitative and quantitative analysis of the chemical composition data: the information of the shape, size and the like of the nanoparticles can be clearly seen from the data of the backscattered electron image, and the results obtained from table 1 show that the Cu and Zn in the single particle component in the groundwater sample of the embodiment have higher contents in the blind ore body, so that the embodiment effectively collects the data of the particles directly related to the existence of the deposit. In addition, two metal components related to the blind ore body are simultaneously detected in the particles, the accompanying relation in the space of ore minerals containing the two elements in the deep ore body can be reflected to a certain extent, and the particles can be applied to prediction of blind ore deposits.
Claims (9)
1. A method for predicting an blind deposit using chemical composition data of a single nanoparticle, the method comprising the steps of: collecting a sample to be detected, preparing the sample to be detected into a test sample, analyzing single nanoparticles in the test sample by using a probe technology, carrying out qualitative and quantitative analysis on elements in the single nanoparticles, and predicting the blind deposit according to chemical composition data obtained by analysis.
2. The method of predicting a blind deposit of claim 1 wherein said probe technology comprises field emission electron probes, nano-ion probes and atom probes.
3. The method of predicting blind deposits according to claim 1, wherein said test samples comprise groundwater, soil gas, animals, plants, and fault mud.
4. The method of predicting an lateritic deposit of claim 1, wherein said single nanoparticle is a nanoparticle and/or near-nanoscale nanoparticle in the form of a single particle.
5. The method of predicting a blind deposit of claim 1 wherein said element further comprises an isotope.
6. The method of predicting blind deposits according to claim 1 wherein said chemical constituents include major elements, trace elements and rare earth elements.
7. The method of predicting blind deposits according to claim 1 wherein said chemical composition data includes elemental composition data, isotope content data, and isotope ratio data.
8. The method of predicting blind deposits according to claim 1 or 7 wherein said chemical composition data further comprises the spatial distribution of elements and isotopes within a single nanoparticle.
9. The method of predicting an lateritic deposit of claim 1, wherein said basis for predicting lateritic deposits further includes single nanoparticle morphology, size, aggregation relationships, and ultrastructural architecture.
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