CN113063782B - Quantitative analysis method for cellulose fiber blended product - Google Patents
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Abstract
The invention relates to a quantitative analysis method of a cellulose fiber blended product, wherein the blended product is known to contain two cellulose fibers, firstly, the product to be tested is qualitatively identified, and the types of the two cellulose fibers are known; selecting the two cellulose fibers, and preparing the two cellulose fibers into a series of fiber mixtures with different mass ratios; then respectively measuring the fiber diameters and the fiber numbers of the fiber mixtures with different proportions according to a microscope method to obtain measured values; applying nonlinear regression based on least square method to establish a nonlinear model between the matching value and the measured value to obtain a relative quality correction coefficient; and finally, measuring the diameters and the number of the fibers of different components in the cellulose fiber blended product to be measured by a microscope method, and applying the diameters and the number to a nonlinear model to calculate the mass contents of the different fiber components. The quantitative analysis method for the cellulose fiber blended product solves the problems that the chemical properties are similar, a manual splitting method cannot be applied, and the quantitative analysis of the non-circular fiber blended product is difficult.
Description
Technical Field
The invention belongs to the technical field of textile content analysis, and particularly relates to a quantitative analysis method for a cellulose fiber blended product.
Background
The method for quantitatively analyzing the textile blended product mainly comprises three major methods, namely a chemical dissolution method, a manual splitting method and a microscopic observation method. The chemical dissolution method is characterized in that after the components of the blended product are qualitatively identified, a proper reagent is selected to remove one or more components, the mass percentage of the soluble fiber or the residual fiber is calculated according to the mass of the soluble fiber or the mass of the residue, and the test is generally carried out according to the standard GB/T2910-2009 quantitative chemical analysis for textiles; the manual splitting method is to manually split, dry and weigh fibers which can be distinguished by visual observation so as to calculate the mass content of the fibers, and the fibers are generally tested by the manual splitting method according to the standard FZ/T01101-2008 'determination physical method of textile fiber content'; for blended products which have similar chemical properties and can not be quantitatively analyzed by a manual splitting method, a microscope observation method is generally applied.
The chemical method applied to quantitative analysis of blended products of natural cellulose fibers and regenerated cellulose fibers at present relates to a sodium zincate method, a formic acid/zinc chloride method, a hydrochloric acid method, a sulfuric acid method, a mixed acid method and the like, but in actual test work, the main problems comprise that: the volatility of the test result is large due to the unstable value of the damage degree d of the natural cellulose fibers (cotton and hemp), the incomplete dissolution of the regenerated cellulose fibers, the inconsistent influence degree of the dyeing of the blended product on the dissolution performance and the like, and related research work mainly focuses on optimizing a dissolution scheme (concentration of a reagent, temperature, time and the like), and increasing stripping treatment on a dark color sample and the like.
Aiming at the problems of the quantitative chemical analysis method of the blended product of the natural cellulose fiber and the regenerated cellulose fiber, some detection mechanisms use a microscope method in FZ/T01101-2008 'determination physical method of fiber content', and the microscope observation method is to adopt a microscope to magnify and distinguish various fibers, measure the diameter or the cross section area of the fibers and combine the measured fiber roots of various fibers to respectively calculate the mass content, the volume content and the root content of the fibers as required. Specifically, for a circular cross-section fiber, the fiber diameter was measured; for fibers with non-circular cross sections (such as cotton and hemp in natural cellulose fibers, modal and viscose in regenerated cellulose fibers), a method for measuring the cross section of the fibers is generally adopted, but the measurement process for measuring the cross section of the fibers is complicated and takes a long time. Some sensing mechanisms therefore address the above problem by measuring the fiber diameter to obtain a fiber correction factor. However, in the prior art, for the same fiber, different detection mechanisms give different fiber diameter correction coefficients, and the same fiber diameter correction coefficient has a great difference.
Disclosure of Invention
The invention aims to provide a quantitative analysis method for a cellulose fiber blended product, which solves the problems that the chemical properties are similar, a manual splitting method cannot be applied and the quantitative analysis of a non-circular fiber blended product is difficult.
The technical scheme adopted by the invention for solving the problems is as follows: a method for quantitatively analyzing a cellulose fiber blended product in which two kinds of cellulose fibers are known, comprising the steps of:
(1) And qualitatively identifying the cellulose fiber blended product to be detected to obtain the types of the two cellulose fibers.
(2) And (2) selecting two types of cellulose fibers qualitatively identified in the step (1), and preparing the two types of cellulose fibers into a series of fiber mixtures with different mass ratios for later use.
(3) And (3) respectively measuring the fiber diameters and the number of the fiber mixtures with different proportions in the step (2) according to a microscope method to obtain measured values of mass content.
(4) And obtaining a series of matching values and measured values of the mass contents of the fiber mixture with different matching ratios, and establishing a nonlinear model between the matching values and the measured values by applying nonlinear regression based on a least square method.
(5) And (3) according to a microscopic method test method, measuring the diameters and the number of fibers of different components in the cellulose fiber blended product to be tested in the step (1) to obtain a measured value of the cellulose fiber blended product to be tested, and applying the measured value to the nonlinear model in the step (4) to calculate the mass contents of the different fiber components of the cellulose fiber blended product to be tested.
Preferably, the two cellulose fibers in step (1) are two cellulose fibers with different morphological characteristics and similar chemical properties under a microscope.
More preferably, the two cellulose fibers are two different natural cellulose fibers, two different regenerated cellulose fibers or a natural cellulose/regenerated cellulose blend, the natural cellulose fibers are cotton, flax or ramie, and the regenerated cellulose fibers are lyocell, modal or viscose.
Preferably, the method for quantitatively analyzing the cellulose fiber blended product specifically comprises the following steps:
(1) And qualitatively identifying the cellulose fiber blended product to be detected to obtain the types of the two cellulose fibers.
(2) Selecting two kinds of cellulose fibers qualitatively identified in the step (1), cutting short fibers with the length of 0.4-0.6mm from the two kinds of cellulose fibers by using a Ha cutter, preparing a series of fiber mixtures with different mass proportions according to the interval of 5%, 10% or 20%, and recording the proportion value P 1 is prepared from 。
(3) Respectively slicing the fiber mixtures with different ratios in the step (2) to prepare observation sample pieces, respectively measuring the diameters and the number of fibers in the fiber mixtures by using a microscope method to obtain measured values P 1 fact 。
P 1 fact ＝[(n 1 ×d 1 2 ×ρ 1 )/(n 1 ×d 1 2 ×ρ 1 +n 2 ×d 2 2 ×ρ 2 )]×100
Wherein, P 1 fact Measuring the mass content (%) of the first fiber in the fiber mixture prepared according to a certain ratio by using a microscope;
n 1 measuring the number of the first fibers in the fiber mixture prepared according to a certain proportion;
n 2 measuring the number of the second fibers in the fiber mixture prepared according to a certain proportion;
d 1 2 the average value of the diameter square of the first fiber in the fiber mixture prepared according to a certain proportion;
d 2 2 the average value of the diameter square of the second fiber in the fiber mixture prepared according to a certain proportion;
ρ 1 the density of the first fiber in the fiber mixture prepared according to a certain proportion;
ρ 2 is the density of the second fiber in the fiber mixture prepared according to a certain proportion.
(4) Establishing a ratio value P 1 is prepared from And measured value P 1 fruit A nonlinear model between the two, and a nonlinear regression based on least square method is applied to obtain a model parameter r 21 I.e. component 2/component 1 relative mass correction factor, i.e. second fibre/first fibre relative mass correction factor:
P 1 is prepared from ＝100/[(100/P 1 fact -1)×r 21 +1]
Wherein, P 1 is prepared from The mass content (%) of the first fiber in the fiber mixture prepared according to a certain proportion;
P 1 fruit The mass content (%) of the second fiber is determined by microscopy for the fiber mixture prepared in a certain ratio.
(5) Arranging the cellulose fiber blended product to be detected in the step (1) into a bundle shape in parallel, cutting short fibers with the length of 0.4-0.6mm by using a Haugh slicer to prepare an observation sample piece, and measuring the fiber diameter and the number of the sample to be detected by using a microscope method to obtain the measured value P of the cellulose fiber blended product to be detected 1 waiting for consolidation And (5) applying the method to the nonlinear model in the step (4) and calculating the final mass contents of different fiber components in the cellulose fiber blended product to be detected.
Wherein, the measured value of the sample to be measured is calculated according to the following formula:
P 1 waiting for consolidation ＝[(n′ 1 ×d′ 1 2 ×ρ′ 1 )/(n′ 1 ×d′ 1 2 ×ρ′ 1 +n′ 2 ×d′ 2 2 ×ρ′ 2 )]×100
Wherein, P 1 waiting for consolidation The mass content (%) of the first fiber measured by a microscope method in the cellulose fiber blended product to be measured;
n′ 1 measuring the number of the first fibers in the cellulose fiber blended product to be measured;
n′ 2 measuring the number of the second fibers in the cellulose fiber blended product to be measured;
d′ 1 2 the average value of the diameter square of the first fiber in the cellulose fiber blended product to be detected is obtained;
d′ 2 2 the average value of the diameter square of the second fiber in the cellulose fiber blended product to be detected is obtained;
ρ′ 1 the density of the first fiber in the cellulose fiber blended product to be detected;
ρ′ 2 the density of the second fiber in the cellulosic fiber blend product to be tested.
The final mass content of each fiber component of the cellulose fiber blended product to be detected is calculated according to the following formula:
P 1 ＝100/[(100/P 1 waiting for consolidation -1)×r 21 +1]
P 2 ＝100-P 1
Wherein, P 1 wait for to be filled Determining the mass content (%) of the first fiber for the cellulose fiber blended product to be detected according to a microscope method;
P 1 the final mass content (%) of the first fiber in the cellulose fiber blended product to be detected;
P 2 is the final mass content (%) of the second fiber in the cellulose fiber blended product to be tested.
More preferably, the final test result of the sample to be tested in step (5) is the arithmetic mean of the two parallel test results, if the difference of the two parallel test results is more than 3%, the third observation sample piece is determined, and the average of the three test results is finally taken.
Compared with the prior art, the invention has the advantages that:
the quantitative analysis method for the cellulose fiber blended product solves the problems that the chemical properties are similar, a manual splitting method cannot be applied, and the quantitative analysis of the non-circular fiber blended product is difficult.
Detailed Description
The present invention is described in further detail below with reference to examples.
Example 1
A quantitative analysis method for a cellulose fiber blended product specifically comprises the following steps:
(1) Applying FZ/T01057.3-2007 textile fiber identification test method part 3 to a sample to be tested of the blended product: and (4) performing qualitative identification by using a microscope method to obtain a sample to be detected, wherein the fiber component is a modal/lyocell blended product.
(2) Selecting Modal and Lyocell fibers, and slicing the Modal and Lyocell fibers by a Ha cutter,All the lyocell fibers are cut into short fibers with the length of 0.4mm, a series of mixtures of the lyocell fibers with different mass ratios are prepared according to the proportion of 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% and 90%, and the blending ratio P is recorded Lyocell formulation 。
(3) Respectively slicing the fiber mixtures with different mass ratios in the step (2) to prepare observation sample pieces, wherein the observation sample pieces specifically comprise: putting the fiber mixture into a watch glass, adding liquid paraffin, fully stirring and uniformly mixing to obtain a suspension, uniformly spreading short fibers, sucking the suspension by using a suction pipe, transferring the suspension to a glass slide, and preparing an observation sample piece; placing the observation sample pieces on a microscope objective table, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope method, measuring 300 fibers in each fiber, counting the total number of the fibers to be 1500, repeatedly measuring the two observation sample pieces, and respectively calculating the P of lyocell in the fiber mixture with different mass proportions according to the following formula Lyocell fruit The specific results are shown in table 1:
P lyocell fruit ＝[(n Lyocell ×d 2 Lyocell ×ρ Lyocell )/(n Lyocell ×d 2 Lyocell ×ρ Lyocell +n Modal ×d 2 Modal ×ρ Modal )] ×100
Wherein, P Lyocell The mass content (%) of the lyocell fiber is measured according to a microscope method for a Modal/lyocell fiber mixture prepared according to a certain proportion;
n lyocell Counting and measuring the number of the lyocell fibers in a Modal/lyocell fiber mixture prepared according to a certain proportion;
n modal Counting and measuring the number of modal fibers in a modal/lyocell fiber mixture prepared according to a certain proportion;
d 2 lyocell The average value of the diameter square of the lyocell fibers in the Modal/lyocell fiber mixture prepared according to a certain proportion;
d 2 modal Is prepared according to a certain proportionAverage of the square of the diameter of the modal fibers in the modal/lyocell fiber mixture;
ρ lyocell The density of the lyocell fibers in the Modal/lyocell fiber mixture prepared according to a certain proportion;
ρ modal Is the density of modal fiber in a modal/lyocell fiber mixture prepared according to a certain proportion.
(4) Establishing a matching ratio P Lyocell formulation And measured value P Lyocell fruit Applying a nonlinear regression based on least square method to obtain a model parameter Modal/Lessel relative mass correction coefficient r Modal/lyocell ，r Modal/lyocell ＝0.672。
(5) Arranging the sample to be detected in the step (1) into parallel bundles, cutting short fibers with the length of 0.4mm by using a Haugh slicer, putting the sample to be detected into a watch glass, adding liquid paraffin, fully and uniformly stirring to obtain suspension, uniformly spreading the short fibers, sucking the suspension by using a suction pipe, transferring the suspension to a glass slide, and preparing an observation sample sheet; placing the observation sample pieces on a microscope stage, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope, measuring 300 fibers in each fiber, counting the total number of the fibers to be 1500, repeatedly measuring the two observation sample pieces, and respectively calculating the measured value P of the sample to be measured according to the following formula Fruit of Leiseili ：
P Fruit of Lyocell ＝[(n′ Lyocell ×d′ 2 Lyocell ×ρ′ Lyocell )/(n′ Lyocell ×d′ 2 Lyocell ×ρ′ Lyocell +n′ Modal ×d′ 2 Modal ×ρ′ Modal )]×100
Wherein, P Fruit of Lyocell The mass content (%) of the lyocell fiber measured in a sample to be measured according to a microscope method;
n′ lyocell Measuring the number of the lyocell fibers in the sample to be measured;
n′ modal For modal fibres in the test sampleThe number of counts measured;
d′ 2 lyocell The average value of the diameter square of the lyocell fibers in the sample to be detected is obtained;
d′ 2 modal The average value of the diameter square of modal fibers in the sample to be measured;
ρ′ lyocell The density of the lyocell fiber in the sample to be detected is obtained;
ρ′ modal Is the density of modal fibers in the sample to be tested.
(6) According to the fiber components of the sample to be detected, applying the nonlinear model in the step (4) to calculate the final mass content of the lyocell and the modal in the sample to be detected:
P lyocell ＝100/[(100/P Fruit of Lyocell -1)×r Modal/lyocell +1]
P Modal ＝100-P Lyocell
Wherein, P Fruit of Lyocell The mass content (%) of the lyocell measured for a sample to be tested according to a microscope method;
P lyocell The content (%) is the mass content of lyocell in the sample to be tested;
P modal The mass content (%) of the modal in the sample to be tested.
TABLE 1 Modal/Lyocell blend product quantitative analysis
Wherein the nonlinear model lyocell is an application ratio value P Lyocell formulation And measured value P Lyocell The lyocell mass content obtained by the nonlinear model is the lyocell mass content obtained by applying the quantitative analysis method of the invention.
Example 2
A quantitative analysis method for a cellulose fiber blended product specifically comprises the following steps:
(1) Applying FZ/T01057.3-2007 textile fiber identification test method part 3 to a sample to be tested of the blended product: and (4) performing qualitative identification by using a microscope method to obtain a sample to be detected, wherein the fiber component is a viscose/lyocell blended product.
(2) Selecting Modal and viscose, cutting into short fiber with length of 0.4mm by Ha's slicer, preparing a series of Modal and viscose mixtures with different mass ratios according to 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80% and 90%, and recording the mass content P of Lyocell Lyocell formulation As shown in table 2.
(3) Respectively slicing the fiber mixtures with different mass ratios in the step (2) to prepare observation sample pieces, wherein the observation sample pieces specifically comprise: putting the fiber mixture into a watch glass, adding liquid paraffin, fully stirring and uniformly mixing to obtain a suspension, uniformly spreading short fibers, sucking the suspension by using a suction pipe, transferring the suspension to a glass slide, and preparing an observation sample piece; placing the observation sample slices on a microscope objective table, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope method, measuring 300 fibers in each fiber, counting the total number of the fibers to be 1500, and repeatedly measuring two observation sample slices to obtain the mass content P of the lyocell fibers in the fiber mixture with different mass proportions Fruit of Leiseier As shown in table 2.
(4) Establishing a ratio value P Leisel's formula And measured value P Fruit of Lyocell Applying a nonlinear regression based on least square method to obtain a model parameter viscose/Lessel relative mass correction coefficient r Viscose/lyocell ，r Viscose/lyocell ＝0.763。
(5) Arranging the sample to be detected in the step (1) into parallel bundles, cutting short fibers with the length of 0.4mm by using a Haugh slicer, putting the sample to be detected into a watch glass, adding liquid paraffin, fully and uniformly stirring to obtain suspension, uniformly spreading the short fibers, sucking the suspension by using a suction pipe, transferring the suspension to a glass slide, and preparing an observation sample piece; and placing the observation sample pieces on a microscope objective table, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope, wherein each fiber is 300, the total number of counted fibers is 1500, repeatedly measuring the two observation sample pieces, and respectively calculating the mass content of the lyocell fibers in the sample to be measured.
(6) And (4) according to the fiber components of the sample to be detected, applying the nonlinear model in the step (4) to calculate the final mass percentage of the lyocell fibers and the viscose fibers in the sample to be detected.
TABLE 2 quantitative analysis of viscose/lyocell blended products
| Serial number | The mixture ratio is Lyocell% | Actually measured Lyocell% | Nonlinear model lyocell% | Difference% |
| 1 | 10 | 7.5 | 9.6 | 0.4 |
| 2 | 20 | 16.3 | 20.3 | -0.3 |
| 3 | 30 | 25.9 | 31.4 | -1.4 |
| 4 | 40 | 32.5 | 38.7 | 1.3 |
| 5 | 50 | 45.8 | 52.6 | -2.6 |
| 6 | 60 | 52.3 | 59.0 | 1.0 |
| 7 | 70 | 63.2 | 69.2 | 0.8 |
| 8 | 80 | 75.4 | 80.1 | -0.1 |
| 9 | 90 | 84.5 | 87.7 | 2.3 |
| Mean value of | / | / | / | 0.2 |
Wherein the nonlinear model lyocell is an application ratio value P Lyocell formulation And measured value P Lyocell fruit The lyocell mass content obtained by the nonlinear model is the lyocell mass content obtained by applying the quantitative analysis method of the invention.
Example 3
A quantitative analysis method for a cellulose fiber blended product specifically comprises the following steps:
(1) Applying FZ/T01057.3-2007 textile fiber identification test method part 3 to a sample to be tested of the blended product: and (4) carrying out qualitative identification by using a microscope method, and obtaining a sample to be detected, wherein the fiber component is a cotton/flax blended product.
(2) Alternatively, cotton fiber and flax fiber are taken, short fiber with the length of 0.4mm is cut from the cotton fiber and the flax fiber by a Ha cutter, a series of cotton and flax fiber mixtures with different mass ratios are prepared according to the weight percentages of 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50%, 55%, 60%, 65%, 70%, 90% and 95%, and the mass content P of the flax is recorded Flax product As shown in table 3.
(3) Respectively slicing the fiber mixtures with different mass ratios in the step (2) to prepare observation sample pieces, wherein the observation sample pieces are specifically as follows: placing the fiber mixture in a watch glass, adding liquid paraffin, stirring to obtain suspension, spreading short fibers uniformly, sucking the suspension with a suction tube, transferring to glass slide, and making into the final productObserving a sample piece; placing the observation sample pieces on a microscope objective table, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope, measuring 300 fibers in each fiber, counting the total number of the fibers to be 1500, and repeatedly measuring two observation sample piece samples to obtain the mass content P of the flax fibers in the fiber mixture with different mass proportions Flax seed As shown in table 3.
(4) Establishing a matching ratio P Flax product And measured value P Flax seed Applying a nonlinear regression based on a least square method to obtain a model parameter cotton/flax relative mass correction coefficient r Cotton/flax ，r Cotton/flax ＝0.752。
(5) Arranging the sample to be detected in the step (1) into parallel bundles, cutting short fibers with the length of 0.4mm by using a Haugh slicer, putting the sample to be detected into a watch glass, adding liquid paraffin, fully and uniformly stirring to obtain suspension, uniformly spreading the short fibers, sucking the suspension by using a suction pipe, transferring the suspension to a glass slide, and preparing an observation sample sheet; and placing the observation sample pieces on a microscope objective table, respectively measuring the diameter and the number of fibers in the fiber mixture by using a microscope, measuring 300 fibers in each fiber, counting the total number of the fibers to be 1500, repeatedly measuring the two observation sample pieces, and respectively calculating the mass content of the flax in the sample to be measured.
(6) And calculating the final mass percentage of the cotton fibers and the linen fibers in the sample to be detected by applying a corresponding nonlinear model according to the fiber components of the sample to be detected.
TABLE 3 quantitative analysis of cotton/flax blend products
| Serial number | The mixture ratio is flax% | Actually measured flax content | Nonlinear model flax% | Difference% |
| 1 | 5.0 | 5.0 | 6.5 | 1.5 |
| 2 | 10.0 | 8.3 | 10.7 | 0.7 |
| 3 | 15.0 | 14.2 | 18.0 | 3.0 |
| 4 | 20.0 | 18.2 | 22.8 | 2.8 |
| 5 | 25.0 | 20.8 | 25.9 | 0.9 |
| 6 | 30.0 | 25.7 | 31.5 | 1.5 |
| 7 | 35.0 | 29.4 | 35.6 | 0.6 |
| 8 | 40.0 | 32.1 | 38.6 | -1.4 |
| 9 | 45.0 | 36.2 | 43.0 | -2.0 |
| 10 | 50.0 | 43.4 | 50.5 | 0.5 |
| 11 | 55.0 | 46.8 | 53.9 | -1.1 |
| 12 | 60.0 | 52.8 | 59.8 | -0.2 |
| 13 | 65.0 | 56.4 | 63.2 | -1.8 |
| 14 | 70.0 | 61.6 | 68.1 | -1.9 |
| 15 | 90.0 | 88.5 | 91.1 | 1.1 |
| 16 | 95.0 | 93.9 | 95.3 | 0.3 |
| Mean value of | / | / | / | 0.3 |
Wherein, the nonlinear model flax is an application proportion value P Flax product And measured value P Flax fruit The flax mass content obtained by the nonlinear model is the flax mass content obtained by applying the quantitative analysis method of the invention.
The test result shows that the quantitative analysis method for the cellulose fiber blended product, which is established by the invention, solves the problems that the chemical properties are similar, the manual splitting method cannot be applied, and the quantitative analysis of the non-circular cellulose fiber blended product is difficult, and the test precision is +/-3%.
In addition to the above embodiments, the present invention also includes other embodiments, and any technical solutions formed by equivalent transformation or equivalent replacement should fall within the scope of the claims of the present invention.
Claims (4)
1. A method for quantitatively analyzing a cellulose fiber blended product, which contains two kinds of cellulose fibers already known, is characterized in that: the method specifically comprises the following steps:
(1) Qualitatively identifying the cellulose fiber blended product to be detected to obtain the types of two cellulose fibers;
(2) Selecting two kinds of cellulose fibers qualitatively identified in the step (1), cutting the two kinds of different cellulose fibers into short fibers with the length of 0.4-0.6mm by using a Ha cutter, preparing a series of fiber mixtures with different mass proportions according to the interval of 5%, 10% or 20%, and recording the proportion value P 1 is prepared from ；
(3) Respectively slicing the fiber mixtures with different proportions in the step (2) to prepare observation sample slices, and respectively measuring the diameters and the number of fibers in the fiber mixtures by utilizing a microscope method to obtain measured values P 1 fact ；
(4) Establishing a matching ratio P by applying nonlinear regression based on least square method 1 is prepared from And measured value P 1 fact Obtaining a model parameter r by a nonlinear model 21 ；
(5) Arranging the cellulose fiber blended product to be detected in the step (1) into a bundle shape in parallel, cutting short fibers with the length of 0.4-0.6mm by using a Haugh slicer to prepare an observation sample piece, and measuring the fiber diameter and the number of the sample to be detected by using a microscope method to obtain the measured value P of the cellulose fiber blended product to be detected 1 wait for to be filled Applying it to the non-linearity in step (4)In the model, calculating the final mass contents of different fiber components in the cellulose fiber blended product to be measured;
the final mass percentage of each fiber component of the sample to be detected is calculated according to the following formula:
P 1 =100/[(100/P 1 waiting for consolidation -1)×r 21 ＋1]
P 2 =100- P 1
Wherein, P 1 waiting for consolidation Determining the mass content (%) of the first fiber for the cellulose fiber blended product to be detected according to a microscope method;
r 21 correcting the coefficient for the relative mass of the second fiber/first fiber;
P 1 the mass content (%) of the first fiber in the cellulose fiber blended product to be detected;
P 2 the mass content (%) of the second fiber in the cellulose fiber blended product to be detected;
the two cellulose fibers in the step (1) are two non-circular cross-section cellulose fibers with different morphological characteristics and similar chemical properties under a microscope.
2. The method for quantitatively analyzing a cellulose fiber blended product according to claim 1, characterized in that: the two different cellulose fibers are two different natural cellulose fibers, two different regenerated cellulose fibers or a natural cellulose/regenerated cellulose fiber blend.
3. The method for quantitatively analyzing a cellulose fiber blended product according to claim 2, characterized in that: the natural cellulose fiber is cotton, flax or ramie, and the regenerated cellulose fiber is lyocell, modal or viscose.
4. The method for quantitatively analyzing a cellulose fiber blended product according to claim 1, characterized in that: and (5) the final test result of the sample to be tested in the step (5) is the arithmetic mean value of the two parallel test results, if the difference of the two parallel test results is more than 3%, a third observation sample piece is determined, and the mean value of the three test results is finally obtained.
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Address after: No. 188, East Outer Ring Road, Jiangyin high tech Zone, Wuxi City, Jiangsu Province Patentee after: JIANGSU JIANGYIN FIBRES TESTING INSTITUTE Patentee after: Jiangsu Chengxin Inspection, Testing and Certification Co.,Ltd. Address before: No. 188, East Outer Ring Road, Jiangyin high tech Zone, Wuxi City, Jiangsu Province Patentee before: JIANGSU JIANGYIN FIBRES TESTING INSTITUTE Patentee before: Jiangsu Chengxin Inspection Certification Co.,Ltd. |
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