CN115389481B - Method for detecting uniformity of biomass surface coating based on Raman spectrum surface scanning - Google Patents
Method for detecting uniformity of biomass surface coating based on Raman spectrum surface scanning Download PDFInfo
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- 238000001237 Raman spectrum Methods 0.000 title claims abstract description 152
- 239000011248 coating agent Substances 0.000 title claims abstract description 111
- 238000000576 coating method Methods 0.000 title claims abstract description 111
- 239000002028 Biomass Substances 0.000 title claims abstract description 97
- 238000000034 method Methods 0.000 title claims abstract description 29
- 238000001069 Raman spectroscopy Methods 0.000 claims abstract description 140
- 238000009826 distribution Methods 0.000 claims abstract description 23
- 238000010586 diagram Methods 0.000 claims abstract description 19
- 238000012937 correction Methods 0.000 claims abstract description 14
- 238000012360 testing method Methods 0.000 claims description 33
- 238000006073 displacement reaction Methods 0.000 claims description 10
- 230000004048 modification Effects 0.000 claims description 5
- 238000012986 modification Methods 0.000 claims description 5
- 230000003595 spectral effect Effects 0.000 claims description 4
- 238000001228 spectrum Methods 0.000 claims description 4
- 238000004458 analytical method Methods 0.000 abstract description 15
- 238000001514 detection method Methods 0.000 abstract description 10
- 241000208125 Nicotiana Species 0.000 description 8
- 235000002637 Nicotiana tabacum Nutrition 0.000 description 8
- 230000009286 beneficial effect Effects 0.000 description 8
- 239000007788 liquid Substances 0.000 description 5
- 239000003973 paint Substances 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 239000000126 substance Substances 0.000 description 4
- 239000000758 substrate Substances 0.000 description 4
- PEDCQBHIVMGVHV-UHFFFAOYSA-N Glycerine Chemical compound OCC(O)CO PEDCQBHIVMGVHV-UHFFFAOYSA-N 0.000 description 3
- DNIAPMSPPWPWGF-UHFFFAOYSA-N Propylene glycol Chemical compound CC(O)CO DNIAPMSPPWPWGF-UHFFFAOYSA-N 0.000 description 3
- 235000013305 food Nutrition 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000835 fiber Substances 0.000 description 2
- MILWSGRFEGYSGM-UHFFFAOYSA-N propane-1,2-diol;propane-1,2,3-triol Chemical compound CC(O)CO.OCC(O)CO MILWSGRFEGYSGM-UHFFFAOYSA-N 0.000 description 2
- 238000005096 rolling process Methods 0.000 description 2
- 239000002023 wood Substances 0.000 description 2
- -1 but not limited to Substances 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 238000005260 corrosion Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000007407 health benefit Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000009776 industrial production Methods 0.000 description 1
- 239000002029 lignocellulosic biomass Substances 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000008569 process Effects 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/8422—Investigating thin films, e.g. matrix isolation method
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/8422—Investigating thin films, e.g. matrix isolation method
- G01N2021/8427—Coatings
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/8422—Investigating thin films, e.g. matrix isolation method
- G01N2021/8427—Coatings
- G01N2021/8433—Comparing coated/uncoated parts
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Abstract
The invention relates to a method for detecting uniformity of biomass surface coating based on Raman spectrum surface scanning, which belongs to the field of coating detection and comprises the following steps: carrying out surface scanning on a Raman spectrum of the region to be detected; step 2: reference correction of the area scanning data to be detected, and obtaining a Raman peak I R1 set; step 3: calculating Raman characteristic parameters: according to the corrected Raman spectrum diagram of the Raman peak I R1 set obtained in the step 2, searching a Raman characteristic peak M, wherein the peak is I R1 (M), and calculating a Raman characteristic parameter A; step 4: making a Raman parameter distribution heat point diagram: taking the interval of the surface scanning points as X, Y axis step length, taking A as an intensity value Z, and making a Raman parameter distribution thermal point diagram; if the maximum value minus the minimum value of the Raman parameter values of the surface scanning points is smaller than 0.5, the surface scanning points are uniform; otherwise, the uniformity is not uniform. The on-line, rapid and accurate analysis and detection of the uniformity of the biomass surface coating are realized.
Description
Technical Field
The invention relates to the field of paint detection, in particular to a method for detecting uniformity of biomass surface paint based on Raman spectrum surface scanning.
Background
The surface of the product made of biomass can be covered with the coating to play a role in changing the surface chemical property, for example, in the food field, the color and taste of the food can be changed by adding the coating on the surface of the food, and in the household field, the anti-corrosion and attractive functions can be realized by adding the coating on the surface of the wood, so that the method has very important economic benefit, environmental benefit and health benefit for uniformity analysis of the surface coating, and is beneficial to guiding actual production engineering.
The uniformity analysis of the biomass surface coating can adopt a traditional chemical determination method, but has the characteristics of long chemical component determination time and complicated procedures, and the surface uniformity needs to determine a large number of points, so that the method is longer in time consumption and is not suitable for application in the actual industrial production process. Raman spectrum is a scattering spectrum that can be used to study molecular vibrations, has extremely strong raman activity for nonpolar groups such as C-C, C =c, and can provide information about various molecular vibration frequencies inside the molecule and about vibration energy levels, and further analyze the chemical composition and molecular structure of the sample at the molecular level.
In view of the above, a method for detecting uniformity of a biomass surface coating based on Raman spectrum surface scanning is provided.
Disclosure of Invention
The invention aims to provide a method for detecting uniformity of biomass surface coating based on Raman spectrum surface scanning. The purpose is to realize the on-line, rapid and accurate analysis and detection of the uniformity of the biomass surface coating.
The technical scheme for solving the technical problems is as follows: the method for detecting the uniformity of the biomass surface coating based on Raman spectrum surface scanning comprises the following steps:
step 1: testing a Raman spectrum diagram of a region to be tested: carrying out Raman spectrum surface scanning on a region to be detected of the biomass sample with the coating on the surface by adopting a Raman spectrometer with laser wavelength ranges of 785 and 1064nm, wherein the laser power range is 0.05-0.45w, the interval between the Raman spectrum surface scanning points is 50-1000 mu m, the number of the Raman spectrum surface scanning points is more than 20, and the test times of each test point are overlapped for more than 300 times, so as to obtain Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface;
Step 2: correcting Raman spectrum data of a region to be detected: correcting the reference of Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface in the step 1 to obtain a Raman peak I R1 set;
Step 3: calculating Raman characteristic parameters: making a Raman spectrum diagram after the correction of each Raman spectrum surface scanning point of the region to be detected of the biomass sample with the coating on the surface according to the Raman peak I R1 set obtained in the step 2, searching a Raman characteristic peak M of the corrected Raman spectrum diagram, wherein the peak is I R1 (M), and calculating a Raman characteristic parameter A, wherein A=I R1(M)/IR2(N),IR2 (N) is the peak intensity of the Raman characteristic peak N of the biomass sample with the coating on the surface;
step 4: making a Raman parameter distribution heat point diagram: setting the interval of the Raman spectrum surface scanning points in the step 3 as X, Y axis step length, setting the A obtained in the step 3 as an intensity value Z, wherein the intensity value Z represents the coating concentration, and making a Raman parameter distribution thermal point diagram; if the maximum value minus the minimum value of the Raman parameter values of the Raman spectrum surface scanning points is smaller than 0.5, the Raman parameter values are uniform; if the maximum value minus the minimum value of the Raman parameter values of the Raman spectrum surface scanning points is more than or equal to 0.5, the Raman spectrum surface scanning points are uneven.
The beneficial effects of the invention are as follows: and (3) carrying out Raman spectrum data of a region to be detected of the biomass sample with the coating on the surface by using a Raman spectrometer, calculating Raman characteristic parameters after correction of the Raman spectrum data of the region to be detected, and finally, taking the scanning point interval of the Raman spectrum surface as X, Y axis step length, taking the A obtained in the step (3) as an intensity value Z, and carrying out a Raman parameter distribution heat point diagram to judge whether the region to be detected of the biomass sample with the coating on the surface is uniform, thereby realizing online, rapid and accurate analysis and detection of uniformity of the biomass surface coating.
On the basis of the technical scheme, the invention can be improved as follows.
In step 1, a raman spectrometer with laser wavelength ranges of 785 and 1064nm is adopted, the laser power range is 0.15-0.35w, the raman spectrum surface scanning is carried out on the area to be measured of the biomass sample with the surface coating, the interval between the raman spectrum surface scanning points is 100-950 μm, the number of the raman spectrum surface scanning points is more than 25, and the test times of each test point are overlapped by more than 350.
In step 1, a raman spectrometer with a laser wavelength range of 1064nm is used, the laser power range is 0.2w, the raman spectrum surface scanning is performed on the area to be measured of the biomass sample with the coating on the surface, the interval between the raman spectrum surface scanning points is 400 μm, the number of the raman spectrum surface scanning points is 30, and the test times of each test point are overlapped by 400.
The beneficial effects of adopting the further scheme are as follows: the laser sources with the wavelengths of 785 and 1064nm, more preferably 1064nm, are selected, so that the fluorescence characteristics of the biomass (such as tobacco) to be tested can be effectively reduced, the higher the laser power is, the stronger the obtained slow signal is, but the sample can be damaged by laser due to the fact that the laser power is too high; the laser power is selected to be 0.05-0.45w, preferably 0.15-0.35w, more preferably 0.2w, so that a Raman spectrum with better signal-to-noise ratio can be obtained, and the sample is not damaged; because the signal intensity of the Raman spectrum is weaker, in order to enhance the signal quality, the Raman spectrum needs to be scanned and overlapped for multiple times in the detection process, and the sample signal is overlapped, when the signal overlapping frequency is lower, the spectrum signal to noise ratio is low, so that the overlapping frequency is more than 300 times. The interval of the scanning points of the Raman spectrum surface is 50-1000 mu m, preferably 100-950 mu m, more preferably 400 mu m, and the Raman instrument light spot is 50-500 mu m, so that the surface of a product can be uniformly detected by selecting the range, the detection area cannot be repeated excessively, and the improvement of the detection precision is facilitated.
Further, the surface-uncoated biomass samples include various herbaceous, lignocellulosic biomass including, but not limited to, wood, tobacco, paper, and the like; the coating in the surface-uncoated biomass sample includes various organics such as glycerol, propylene glycol, and the like.
Further, the raman peak I R1 set in step 2 includes a first-order raman peak I R1 (I) set or a second-order raman peak I R1 (ii) set.
The beneficial effects of adopting the further scheme are as follows: by adopting a specific section of Raman spectrum data (a first-order Raman peak I R1 (I) set or a second-order Raman peak I R1 (II) set), the time for data processing can be effectively saved, and the detection efficiency can be further improved.
Further, the modification of the raman spectrum data in the step 2 specifically includes: in the Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface in the step 1, selecting a first-order Raman spectrum with a band range of 800-1800cm -1 as a Raman shift, and correcting a reference of the first-order Raman spectrum to obtain a first-order Raman peak value I R1 (I) set; or selecting a band range with the Raman shift of 2700-3500cm -1 as a second-order Raman spectrum, and correcting the reference of the second-order Raman spectrum to obtain a second-order Raman peak I R1 (II) set.
The beneficial effects of adopting the further scheme are as follows: by selecting the first-order Raman spectrum as the band range of 800-1800cm -1 and the second-order Raman spectrum as the band range of 2700-3500cm -1, the method can save the time of data processing, find out proper characteristic peaks in the corresponding band range, and is beneficial to improving the detection accuracy.
Further, in the step 3, the raman feature parameter is calculated: according to the first-order Raman peak value I R1 (I) set obtained in the step 2, making a first-order Raman spectrum graph with each Raman spectrum surface scanning point of a to-be-detected area of the biomass sample with the coating on the surface corrected, searching a Raman characteristic peak M 1 of the corrected first-order Raman spectrum graph, wherein the peak value is I R1(M1), and calculating a Raman characteristic parameter A 1, wherein A 1＝IR1(M1)/IR2(N1),IR2(N1) is the peak intensity of a Raman characteristic peak N 1 of a wave band with the Raman displacement of 800-1800cm -1 of the biomass sample without the coating on the surface; or according to the second-order Raman peak I R1 (II) set obtained in the step 2, making a corrected second-order Raman spectrum graph with each Raman spectrum surface scanning point of the to-be-detected area of the biomass sample with the coating on the surface, searching a Raman characteristic peak M 2 of the corrected second-order Raman spectrum graph, wherein the peak is I R1(M2), and calculating a Raman characteristic parameter A 2, wherein A 2＝IR1(M2)/IR2(N2),IR2(N2) is the peak intensity of a Raman characteristic peak N 2 of a wave band with the Raman displacement of 2700-3500cm -1 of the biomass sample without the coating on the surface.
Further, the method for determining the raman characteristic peak N and the peak intensity I R2 (N) of the biomass sample without the coating in the step 3 comprises the following steps:
Step 3-1: raman spectra of biomass samples with no coating on the test surface: adopting a Raman spectrometer with the laser wavelength range of 785-1064nm, carrying out Raman spectrum surface scanning on a biomass sample with no coating on the surface, respectively selecting more than 3 test points on the biomass sample with no coating on the surface, and overlapping the test times of each test point for more than 300 times to obtain Raman spectrum data of the biomass sample with no coating on the surface;
Step 3-2: correction of raman spectral data for biomass samples with no coating on the surface: correcting the reference of the Raman spectrum data of the biomass sample without the coating on the surface in the step 3-1, and solving the average value of peak values at the same Raman displacement on each test point to obtain a Raman peak value I R2 set;
Step 3-3: searching raman characteristic peaks of the biomass sample without the coating on the surface: and (3) according to the Raman peak I R2 set obtained in the step (3-2), making a corrected Raman spectrum of the biomass sample without the coating on the surface, and searching for a Raman characteristic peak N of the corrected spectrum, wherein the peak intensity is I R2 (N).
The beneficial effects of adopting the further scheme are as follows: by the method, the Raman characteristic peak N and the peak intensity I R2 (N) of the biomass sample without the coating on the surface can be rapidly determined, and the calculation of the Raman characteristic parameter A is facilitated.
Further, the modification of the raman spectrum data of the biomass sample without the coating in the step 3-2 is specifically: in the Raman spectrum data of the region to be detected of the biomass sample with the surface free of the coating in the step 3-1, selecting a band range with the Raman displacement of 800-1800cm -1 as a first-order Raman spectrum, and correcting a reference of the first-order Raman spectrum to obtain a first-order Raman peak value I R2 (I) set; or selecting a band range with the Raman shift of 2700-3500cm -1 as a second-order Raman spectrum, and correcting the reference of the second-order Raman spectrum to obtain a second-order Raman peak I R2 (II) set.
Further, in the reference correction of the first-order Raman spectrum, a connecting line between two end points of the first-order Raman spectrum is selected, a curve value of 800-1800cm -1 is subtracted from a connecting line value between the two end points, and the reference correction of the first-order Raman spectrum is performed; in the reference correction of the second-order Raman spectrum, a connecting line between two end points of the second-order Raman spectrum is selected, and a curve value of 2700-3500cm -1 is subtracted from a connecting line value between the two end points to perform the reference correction of the second-order Raman spectrum.
The beneficial effects of adopting the further scheme are as follows: this eliminates the fluorescent effect of the biomass itself.
Further, in the step 3-3, a corrected first-order raman spectrum of the biomass sample without the coating on the surface is made according to the first-order raman peak value I R2 (I) set obtained in the step 3-2, and a raman characteristic peak N 1 of the corrected first-order raman spectrum is found, wherein the peak value is I R2(N1); or according to the second-order Raman peak I R2 (II) set obtained in the step 3-2, making a corrected second-order Raman spectrum of the biomass sample without the coating on the surface, and searching a Raman characteristic peak N 2 of the corrected second-order Raman spectrum, wherein the peak is I R2(N2.
Drawings
FIG. 1 is a schematic view of a sample surface scanning with a coating liquid according to example 1 of the present invention;
FIG. 2 is a graph showing the distribution of Raman spectrum parameters in example 1 of the present invention;
FIG. 3 is a graph showing the distribution of hot spots of Raman parameters according to embodiment 1 of the present invention;
FIG. 4 is a schematic view of a two-pass sample surface scan of the coating solution of example 2 of the present invention;
FIG. 5 is a graph showing the distribution of Raman spectrum parameters according to the embodiment 2 of the present invention;
FIG. 6 is a distribution chart of the hot spot of the Raman parameter according to embodiment 2 of the present invention.
Detailed Description
The principles and features of the present invention are described below with examples given for the purpose of illustration only and are not intended to limit the scope of the invention.
Example 1: uniformity analysis of tobacco sheet atomizer I distribution
The tobacco sheet prepared by the rolling method is coated with glycerol propylene glycol.
The uniformity analysis of the distribution of the coating liquid I (shown in figure 1) on the surface of the fiber substrate comprises the following steps:
step 1: according to the characteristics of the tested product, a Raman spectrometer with the laser wavelength of 1064nm is selected, the laser power range is 0.20w, the test times are overlapped 300 times, the test points are 5, and Raman spectrum data of a biomass sample with and without paint on the surface are obtained through testing;
Step 2: selecting a band range with the Raman displacement of 800-1800cm -1 as a first-order Raman spectrum, selecting a connecting line between two side endpoints, subtracting a connecting line value between the two endpoints from a curve value of 800-1800cm -1, and defining a first-order Raman peak value with the coating on the surface as an I R1 set and a first-order Raman peak value without the coating on the surface as an I R2 set for the Raman spectrum data of the biomass sample with the coating on the surface and without the coating detected in the step 1;
Step 3: according to the first-order Raman peak value with the coating on the surface and the first-order Raman peak value without the coating on the surface, which are obtained in the step 2, are defined as an I R1 set and an I R2 set, a Raman spectrum diagram of a biomass sample containing the coating is made, raman characteristic peaks M 1118 and N 1605 are found through comparison, and the ratio of the peak intensities I R1118 and I R1605 of the characteristic peaks is taken as a Raman characteristic parameter A:
A＝IR1118/IR1605；
Step 4: carrying out Raman spectrum surface scanning on the biomass sample with the coating on the surface according to the condition of the step 1, wherein the interval between the surface scanning points is 400 mu m, and the surface scanning points are 30 points;
step 5: processing the Raman spectrum data measured in the step 4 according to the step 2 and the step 3 to obtain Raman characteristic parameters A of different scanning points;
Step 6: and (5) making a heat point diagram by using the Raman characteristic parameter A obtained in the step (5), and obtaining the uniformity of the distribution of the biomass surface coating according to the distribution of the heat points. Analysis results figures 2 and 3 show that raman parameter maximum minus minimum is less than 0.5 and is considered uniform.
Example 2: uniformity analysis of tobacco sheet atomizer II distribution
Wherein, the tobacco sheet prepared by the rolling method is glycerol propylene glycol as the surface coating. The uniformity analysis of the distribution of the coating liquid II (shown in fig. 4) on the surface of the fiber substrate comprises the following steps:
Step 1: according to the characteristics of the tested product, a Raman spectrometer with the laser wavelength of 1064nm is selected, the laser power range is 0.20w, the test times are overlapped 300 times, the test points are 5, and the Raman spectrum of a biomass sample with the coating on the surface and the Raman spectrum of a biomass sample without the coating on the surface are tested;
Step 2: selecting a band range with the Raman displacement of 800-1800cm -1 as a first-order Raman spectrum, selecting a connecting line between two side endpoints, subtracting a connecting line value between the two endpoints from a curve value of 800-1800cm -1, and defining a first-order Raman peak value with paint as I R1 and I R2 without paint;
Step 3: from the first order raman peaks with coating obtained in step 2, defined as I R1 and I R2 without coating, raman spectra were taken for biomass samples with coating and for biomass samples without coating, by comparison, raman characteristic peaks M 1118 and N 1605 were found. Taking the ratio of the peak intensities I R1118 and I R1605 of the characteristic peaks as a Raman characteristic parameter A:
A＝IR1118/IR1605；
Step 4: carrying out Raman spectrum surface scanning on the biomass sample with the coating on the surface according to the condition of the step 1, wherein the interval between the surface scanning points is 400 mu m, and the surface scanning points are 30 points;
step 5: processing the Raman spectrum data measured in the step 4 according to the step 2 and the step 3 to obtain Raman characteristic parameters A of different scanning points;
Step 6: and (5) making a heat point diagram by using the Raman characteristic parameters obtained in the step (5), and obtaining the uniformity of the distribution of the biomass surface coating according to the distribution of the heat points. Analysis results figures 5 and 6 show that raman parameter maximum minus minimum values are greater than 0.5 and are considered non-uniform.
Example 3: uniformity analysis of tobacco sheet atomizer I distribution
Uniformity analysis was performed on the distribution of the coating liquid I (FIG. 1) on the surface of the fibrous substrate, and compared with example 1, step 1: according to the characteristics of the product, a Raman spectrometer with the laser wavelength of 785nm is selected, the laser power range is 0.25w, the test times are overlapped for 400 times, the number of test points is 10, and the Raman spectrum data of the biomass sample with and without the coating on the surface are obtained. Step 4: and (3) carrying out Raman spectrum surface scanning on the biomass sample with the coating on the surface according to the condition of the step (1), wherein the surface scanning point interval is 450 mu m, and the surface scanning points are 25 points. The rest of the same procedure as in example 1.
The result was also that the raman parameter maximum minus minimum was less than 0.5, uniform and the same as in example 1.
Example 4: uniformity analysis of tobacco sheet atomizer II distribution
Uniformity analysis was performed on the distribution of the coating liquid ii (see fig. 4) on the surface of the fibrous substrate, step 1 compared with example 3: according to the characteristics of the tested products, a Raman spectrometer with the laser wavelength of 785nm is selected, the laser power range is 0.30w, the test times are overlapped for 500 times, the number of test points is 8, and the Raman spectrum of a biomass sample with the coating on the surface and the Raman spectrum of a biomass sample without the coating on the surface are tested. Step 4: and (3) carrying out Raman spectrum surface scanning on the biomass sample with the coating on the surface according to the condition of the step (1), wherein the interval between the surface scanning points is 350 mu m, and the surface scanning points are 36 points. The remaining processing steps were the same as in example 3.
As a result raman parameter maximum minus minimum is greater than 0.5, which is considered non-uniform. Consistent with the results of example 3.
While embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the invention, and that variations, modifications, alternatives and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the invention.
Claims (10)
1. The method for detecting the uniformity of the biomass surface coating based on Raman spectrum surface scanning is characterized by comprising the following steps of:
step 1: testing a Raman spectrum diagram of a region to be tested: carrying out Raman spectrum surface scanning on a region to be detected of the biomass sample with the coating on the surface by adopting a Raman spectrometer with laser wavelength ranges of 785 and 1064nm, wherein the laser power range is 0.05-0.45w, the interval between the Raman spectrum surface scanning points is 50-1000 mu m, the number of the Raman spectrum surface scanning points is more than 20, and the test times of each test point are overlapped for more than 300 times, so as to obtain Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface;
Step 2: correcting Raman spectrum data of a region to be detected: correcting the reference of Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface in the step 1 to obtain a Raman peak I R1 set;
Step 3: calculating Raman characteristic parameters: making a Raman spectrum diagram after the correction of each Raman spectrum surface scanning point of the region to be detected of the biomass sample with the coating on the surface according to the Raman peak I R1 set obtained in the step 2, searching a Raman characteristic peak M of the corrected Raman spectrum diagram, wherein the peak is I R1 (N), and calculating a Raman characteristic parameter A, wherein A=I R1(M)/IR2(N),IR2 (N) is the peak of the Raman characteristic peak N of the biomass sample with the coating on the surface;
Step 4: making a Raman parameter distribution heat point diagram: setting the interval of the Raman spectrum surface scanning points in the step 3 as X, Y axis step length, setting the A obtained in the step 3 as the intensity value Z, and making a Raman parameter distribution heat point diagram; if the maximum value minus the minimum value of the Raman parameter values of the Raman spectrum surface scanning points is smaller than 0.5, the biomass surface coating is uniform; if the maximum value minus the minimum value of the Raman parameter values of the Raman spectrum surface scanning points is larger than or equal to 0.5, the biomass surface coating is uneven.
2. The method for detecting uniformity of a biomass surface coating based on raman spectrum surface scanning according to claim 1, wherein in the step 1, a raman spectrometer with a laser wavelength range of 785 and 1064nm is adopted, the laser power range is 0.15-0.35w, raman spectrum surface scanning is carried out on a region to be detected of a biomass sample with the coating on the surface, the interval between raman spectrum surface scanning points is 100-950 μm, the number of raman spectrum surface scanning points is more than 25, and the test times of each test point are overlapped by more than 350.
3. The method for detecting uniformity of a biomass surface coating based on raman spectrum surface scanning according to claim 1, wherein in the step 1, a raman spectrometer with a laser wavelength range of 1064nm is adopted, a laser power range of 0.2w is adopted to perform raman spectrum surface scanning on a region to be detected of a biomass sample with the coating on the surface, a distance between raman spectrum surface scanning points is 400 μm, the number of raman spectrum surface scanning points is 30, and the number of times of testing each test point is 400.
4. The method for detecting uniformity of a biomass surface coating based on raman spectral surface scanning according to claim 1, wherein the set of raman peaks I R1 in step 2 comprises a set of first-order raman peaks I R1 (I) or a set of second-order raman peaks I R1 (ii).
5. The method for detecting uniformity of a biomass surface coating based on raman spectrum surface scanning according to claim 4, wherein the modification of raman spectrum data in step 2 is specifically: in the Raman spectrum data of the region to be detected of the biomass sample with the coating on the surface in the step 1, selecting a first-order Raman spectrum with a band range of 800-1800cm -1 as a Raman shift, and correcting a reference of the first-order Raman spectrum to obtain a first-order Raman peak value I R1 (I) set; or selecting a band range with the Raman shift of 2700-3500cm -1 as a second-order Raman spectrum, and correcting the reference of the second-order Raman spectrum to obtain a second-order Raman peak I R1 (II) set.
6. The method for detecting uniformity of biomass surface coating based on raman spectrum surface scanning according to claim 4, wherein the calculating raman characteristic parameters in the step 3 is specifically: according to the first-order Raman peak value I R1 (I) set obtained in the step 2, making a first-order Raman spectrum graph with each Raman spectrum surface scanning point of a to-be-detected area of the biomass sample with the coating on the surface corrected, searching a Raman characteristic peak M 1 of the corrected first-order Raman spectrum graph, wherein the peak value is I R1(M1), and calculating a Raman characteristic parameter A 1, wherein A 1＝IR1(M1)/IR2(N1),IR2(N1) is the peak intensity of a Raman characteristic peak N 1 of a wave band with the Raman displacement of 800-1800cm -1 of the biomass sample without the coating on the surface; or according to the second-order Raman peak I R1 (II) set obtained in the step 2, making a second-order Raman spectrum graph with each Raman spectrum surface scanning point of the region to be detected of the biomass sample with the coating on the surface corrected, searching a Raman characteristic peak M 2 of the corrected second-order Raman spectrum graph, wherein the peak is I R1(M2), and calculating a Raman characteristic parameter A 2, wherein A 2＝IR1(M2)/IR2(N2),IR2(N2) is the peak intensity of a Raman characteristic peak N 2 of a wave band with the Raman displacement of 2700-3500cm -1 of the biomass sample without the coating on the surface.
7. The method for detecting uniformity of a biomass surface coating based on raman spectrum surface scanning according to claim 1, wherein the method for determining raman characteristic peak N and peak intensity I R2 (N) of the biomass sample without the coating in step 3 comprises the steps of:
Step 3-1: raman spectra of biomass samples with no coating on the test surface: carrying out Raman spectrum surface scanning on a biomass sample with no coating on the surface by adopting a Raman spectrometer with laser wavelength ranges of 785 and 1064nm and laser power ranges of 0.05-0.45w, respectively selecting more than 3 test points on the biomass sample with no coating on the surface, and overlapping the test times of each test point for more than 300 times to obtain Raman spectrum data of the biomass sample with no coating on the surface;
Step 3-2: correction of raman spectral data for biomass samples with no coating on the surface: correcting the reference of the Raman spectrum data of the biomass sample without the coating on the surface in the step 3-1, and solving the average value of peak values at the same Raman displacement on each test point to obtain a Raman peak value I R2 set;
Step 3-3: searching raman characteristic peaks of the biomass sample without the coating on the surface: and (3) according to the Raman peak I R2 set obtained in the step (3-2), making a corrected Raman spectrum of the biomass sample without the coating on the surface, and searching for a Raman characteristic peak N of the corrected spectrum, wherein the peak intensity is I R2 (N).
8. The method for detecting uniformity of a biomass surface coating based on raman spectrum surface scanning according to claim 7, wherein the modification of raman spectrum data of the biomass sample without the coating in step 3-2 is specifically: in the Raman spectrum data of the region to be detected of the biomass sample with the surface free of the coating in the step 3-1, selecting a band range with the Raman displacement of 800-1800cm -1 as a first-order Raman spectrum, and correcting a reference of the first-order Raman spectrum to obtain a first-order Raman peak value I R2 (I) set; or selecting a band range with the Raman shift of 2700-3500cm -1 as a second-order Raman spectrum, and correcting the reference of the second-order Raman spectrum to obtain a second-order Raman peak I R2 (II) set.
9. The method for detecting the uniformity of the biomass surface coating based on the surface scanning of the Raman spectrum according to claim 5 or 8, wherein in the reference correction of the first-order Raman spectrum, a connecting line between two end points of the first-order Raman spectrum is selected, and a curve value of 800-1800cm -1 is subtracted from a connecting line value between the two end points to perform the reference correction of the first-order Raman spectrum; in the reference correction of the second-order Raman spectrum, a connecting line between two end points of the second-order Raman spectrum is selected, and a curve value of 2700-3500cm -1 is subtracted from a connecting line value between the two end points to perform the reference correction of the second-order Raman spectrum.
10. The method for detecting uniformity of a biomass surface coating based on raman spectral surface scanning according to claim 8, wherein in the step 3-3, a corrected first-order raman spectrum diagram of the biomass sample without the coating on the surface is made according to the first-order raman peak I R2 (I) set obtained in the step 3-2, and a raman characteristic peak N 1 of the corrected first-order raman spectrum diagram is found, wherein the peak is I R2(N1); or according to the second-order Raman peak I R2 (II) set obtained in the step 3-2, making a corrected second-order Raman spectrum of the biomass sample without the coating on the surface, and searching a Raman characteristic peak N 2 of the corrected second-order Raman spectrum, wherein the peak is I R2(N2.
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