CN113529407A - Layer-by-layer self-assembly material, preparation method thereof and flexible strain sensor - Google Patents
Layer-by-layer self-assembly material, preparation method thereof and flexible strain sensor Download PDFInfo
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- 238000001338 self-assembly Methods 0.000 title claims abstract description 30
- 238000002360 preparation method Methods 0.000 title claims abstract description 11
- 239000000758 substrate Substances 0.000 claims abstract description 37
- 239000002041 carbon nanotube Substances 0.000 claims abstract description 31
- 229910021393 carbon nanotube Inorganic materials 0.000 claims abstract description 31
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 claims abstract description 27
- 229920001690 polydopamine Polymers 0.000 claims abstract description 27
- 238000003475 lamination Methods 0.000 claims abstract description 14
- 229920001661 Chitosan Polymers 0.000 claims abstract description 13
- 238000000034 method Methods 0.000 claims description 16
- 229920002334 Spandex Polymers 0.000 claims description 13
- 238000007598 dipping method Methods 0.000 claims description 13
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- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 13
- QTBSBXVTEAMEQO-UHFFFAOYSA-N Acetic acid Chemical compound CC(O)=O QTBSBXVTEAMEQO-UHFFFAOYSA-N 0.000 claims description 12
- 239000008367 deionised water Substances 0.000 claims description 12
- 229910021641 deionized water Inorganic materials 0.000 claims description 12
- VYFYYTLLBUKUHU-UHFFFAOYSA-N dopamine Chemical compound NCCC1=CC=C(O)C(O)=C1 VYFYYTLLBUKUHU-UHFFFAOYSA-N 0.000 claims description 10
- 238000005470 impregnation Methods 0.000 claims description 8
- 238000003756 stirring Methods 0.000 claims description 8
- 238000000498 ball milling Methods 0.000 claims description 7
- 238000001035 drying Methods 0.000 claims description 7
- 239000006185 dispersion Substances 0.000 claims description 6
- 238000002791 soaking Methods 0.000 claims description 6
- 238000004140 cleaning Methods 0.000 claims description 5
- 229960003638 dopamine Drugs 0.000 claims description 5
- 239000007788 liquid Substances 0.000 claims description 5
- 239000003513 alkali Substances 0.000 claims description 4
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- MCHZKGNHFPNZDP-UHFFFAOYSA-N 2-aminoethane-1,1,1-triol;hydrochloride Chemical compound Cl.NCC(O)(O)O MCHZKGNHFPNZDP-UHFFFAOYSA-N 0.000 claims description 2
- 238000007654 immersion Methods 0.000 claims 1
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- QKNYBSVHEMOAJP-UHFFFAOYSA-N 2-amino-2-(hydroxymethyl)propane-1,3-diol;hydron;chloride Chemical compound Cl.OCC(N)(CO)CO QKNYBSVHEMOAJP-UHFFFAOYSA-N 0.000 description 2
- 229920000742 Cotton Polymers 0.000 description 2
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- 239000000203 mixture Substances 0.000 description 2
- CWGFSQJQIHRAAE-UHFFFAOYSA-N 2-amino-2-(hydroxymethyl)propane-1,3-diol tetrahydrochloride Chemical compound Cl.Cl.Cl.Cl.OCC(N)(CO)CO CWGFSQJQIHRAAE-UHFFFAOYSA-N 0.000 description 1
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- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06M—TREATMENT, NOT PROVIDED FOR ELSEWHERE IN CLASS D06, OF FIBRES, THREADS, YARNS, FABRICS, FEATHERS OR FIBROUS GOODS MADE FROM SUCH MATERIALS
- D06M11/00—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising
- D06M11/73—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with carbon or compounds thereof
- D06M11/74—Treating fibres, threads, yarns, fabrics or fibrous goods made from such materials, with inorganic substances or complexes thereof; Such treatment combined with mechanical treatment, e.g. mercerising with carbon or compounds thereof with carbon or graphite; with carbides; with graphitic acids or their salts
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06M—TREATMENT, NOT PROVIDED FOR ELSEWHERE IN CLASS D06, OF FIBRES, THREADS, YARNS, FABRICS, FEATHERS OR FIBROUS GOODS MADE FROM SUCH MATERIALS
- D06M15/00—Treating fibres, threads, yarns, fabrics, or fibrous goods made from such materials, with macromolecular compounds; Such treatment combined with mechanical treatment
- D06M15/01—Treating fibres, threads, yarns, fabrics, or fibrous goods made from such materials, with macromolecular compounds; Such treatment combined with mechanical treatment with natural macromolecular compounds or derivatives thereof
- D06M15/03—Polysaccharides or derivatives thereof
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B7/00—Measuring arrangements characterised by the use of electric or magnetic techniques
- G01B7/16—Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
-
- D—TEXTILES; PAPER
- D06—TREATMENT OF TEXTILES OR THE LIKE; LAUNDERING; FLEXIBLE MATERIALS NOT OTHERWISE PROVIDED FOR
- D06M—TREATMENT, NOT PROVIDED FOR ELSEWHERE IN CLASS D06, OF FIBRES, THREADS, YARNS, FABRICS, FEATHERS OR FIBROUS GOODS MADE FROM SUCH MATERIALS
- D06M2101/00—Chemical constitution of the fibres, threads, yarns, fabrics or fibrous goods made from such materials, to be treated
- D06M2101/16—Synthetic fibres, other than mineral fibres
- D06M2101/30—Synthetic polymers consisting of macromolecular compounds obtained otherwise than by reactions only involving carbon-to-carbon unsaturated bonds
- D06M2101/38—Polyurethanes
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- Engineering & Computer Science (AREA)
- Textile Engineering (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Measurement Of Length, Angles, Or The Like Using Electric Or Magnetic Means (AREA)
Abstract
The invention discloses a layer-by-layer self-assembly material, which comprises a flexible substrate and a self-assembly lamination layer attached to the flexible substrate; the self-assembled lamination comprises a first layer and a second layer which are alternately assembled at intervals; the first layer comprises polydopamine coated carboxylated carbon nanotubes; the second layer comprises chitosan. The self-assembly lamination layer is tightly combined with the flexible substrate, so that the stretching induction range is enlarged, and the device can adapt to stretching in a wide range; the self-assembled stack provides high sensitivity and good stability while increasing the sensing range. The invention also provides a preparation method of the layer-by-layer self-assembly material and a flexible strain sensor.
Description
Technical Field
The invention belongs to the technical field of sensors, and particularly relates to a layer-by-layer self-assembly material, a preparation method thereof and a flexible strain sensor.
Background
The traditional strain sensors are rigid and very hard, and are not easy to deform; the requirements cannot be met when various complex signals are faced.
The flexible strain sensor has the characteristics of light weight, portability, excellent electrical performance, high integration level and the like, and can be widely used for human motion monitoring, expression recognition, pulse detection and the like.
However, the realization of high sensitivity and wide range simultaneously by the current flexible strain sensor is still a great challenge.
Disclosure of Invention
In view of the above disadvantages, it is necessary to provide a new layer-by-layer self-assembled layer.
A layer-by-layer self-assembled material comprising a flexible substrate, and a self-assembled stack attached to the flexible substrate; the self-assembled lamination comprises a first layer and a second layer which are alternately assembled at intervals;
the first layer comprises polydopamine coated carboxylated carbon nanotubes;
the second layer comprises chitosan.
The self-assembly lamination layer is tightly combined with the flexible substrate, so that the stretching induction range is enlarged, and the device can adapt to stretching in a wide range; the self-assembled stack provides high sensitivity and good stability while increasing the sensing range.
Preferably, the material of the flexible substrate is spandex.
Preferably, the number of layers of the self-assembly lamination layer is 8-64.
The invention also provides a preparation method of the layer-by-layer self-assembly material.
A preparation method of a layer-by-layer self-assembly material comprises the following steps:
providing a first solution; the first solution comprises polydopamine-coated carboxylated carbon nanotubes;
providing a second solution; the second solution comprises chitosan;
dipping the flexible substrate in the second solution, and then dipping the flexible substrate in the first solution; the impregnation is circulated for a plurality of times;
and (5) drying after the impregnation is finished.
The preparation method of the layer-by-layer self-assembly material is simple and convenient through electrostatic self-assembly. And electrostatic self-assembly overcomes the defect of poor combination of the conductive material and the flexible substrate.
Preferably, the dipping time in the second solution is 4-6 min each time; the dipping time in the first solution is 4-6 min each time.
Preferably, before the dipping, the method further comprises the steps of pretreating the flexible substrate; the pretreatment comprises the following steps:
and soaking the flexible substrate in an alkali solution to remove oil, and performing ultrasonic oscillation after cleaning.
Preferably, the first solution is prepared by the following method:
dispersing the carboxyl carbon nano tubes coated with polydopamine in deionized water, and then carrying out ball milling for 6-8 hours; and carrying out ultrasonic dispersion on the dispersion liquid obtained after ball milling for 20-40 minutes.
Preferably, the polydopamine-coated carboxylated carbon nanotube is prepared by the following method:
dispersing dopamine in deionized water, then adjusting the pH value to 7.5-9.5 by using trihydroxymethyl aminomethane hydrochloride, then adding a carboxylated carbon nanotube, stirring and reacting for 22-26 hours, and separating and drying to obtain the polydopamine-coated carboxylated carbon nanotube.
Preferably, the second solution is prepared by the following method:
adding chitosan and 2 wt% acetic acid solution into deionized water, and uniformly stirring to obtain a second solution.
The invention also provides a flexible strain sensor.
A flexible strain sensor comprises the layer-by-layer self-assembly material provided by the invention.
The self-assembly lamination layer is tightly combined with the flexible substrate, so that the stretching induction range is enlarged, and the flexible strain sensor can adapt to stretching in a wide range; the self-assembled stack provides high sensitivity and good stability while increasing the sensing range.
Drawings
FIG. 1 is a graph showing the strain and resistance change of the layer-by-layer self-assembled material of examples 1-5 in the stretching process.
Fig. 2 is a graph of the maximum sensing range and the sensing sensitivity of the layer-by-layer self-assembled materials of embodiments 1-5 of the present invention.
FIG. 3 is a graph of the resistance change of the layer-by-layer self-assembled material of example 3 of the present invention under different stretching speeds.
Fig. 4 is a graph of the resistance change of the layer-by-layer self-assembled material of example 3 under different strain tensions.
FIG. 5 is a graph showing the change in the cyclic tensile resistance of the layer-by-layer self-assembled material in example 3 of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to specific embodiments. It should be understood that the detailed description and specific examples, while indicating the invention, are intended for purposes of illustration only and are not intended to limit the scope of the invention.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used herein in the description of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
A layer-by-layer self-assembled material comprising a flexible substrate, and a self-assembled stack attached to the flexible substrate; the self-assembled lamination comprises a first layer and a second layer which are alternately assembled at intervals; the first layer comprises polydopamine coated carboxylated carbon nanotubes; the second layer comprises chitosan.
Wherein, the flexible substrate is the basis of the whole layer-by-layer self-assembly material and provides support for the self-assembly lamination.
Preferably, the material of the flexible substrate is spandex. The spandex has excellent elasticity and good elasticity recovery, the strength of the spandex is 2-3 times higher than that of latex yarn, and the spandex is more resistant to chemical degradation. The spandex has better acid and alkali resistance, sweat resistance, seawater resistance, dry cleaning resistance and wear resistance.
Of course, it is understood that other flexible materials such as cotton yarn, polyester, etc. may be used as the flexible substrate in addition to spandex. Compared with spandex, the cotton yarn has poor elasticity and small stretching range, and the prepared sensor has small sensing range; compared with spandex, the elasticity of terylene is not as good as that of spandex, and a flexible sensor with excellent performance cannot be prepared.
Wherein, the self-assembly lamination is formed by combining and laminating together in a self-assembly mode. In the self-assembled stack, the first layers and the second layers alternate in spacing, that is, the second layer is arranged between two adjacent first layers, and the first layer is arranged between two adjacent second layers; that is, the first layer (represented by A) and the second layer (represented by B) are laminated in an A/B/A/B/A/B … … manner.
Preferably, the number of layers of the self-assembly lamination layer is 8-64. When the number of the self-assembled laminate layers is 8 to 64, the self-assembled laminate layer has good conductivity, and particularly 52 to 64 layers have balanced conductivity. In the present application, the number of layers of the self-assembled stack refers to how many layers are contained in the whole self-assembled stack, i.e. the sum of the number of layers of the first layer and the second layer.
Wherein the first layer comprises a polydopamine-coated carboxylated carbon nanotube; the second layer comprises chitosan. The first layer is rich in negative charges because it contains polydopamine-coated carboxylated carbon nanotubes. Since the second layer contains chitosan, the second layer is rich in positive charges. The first and second layers are of opposite charge, and self-assemble together electrostatically.
The self-assembly lamination layer is tightly combined with the flexible substrate, so that the stretching induction range is enlarged, and the device can adapt to stretching in a wide range; the self-assembled stack provides high sensitivity and good stability while increasing the sensing range.
The invention also provides a preparation method of the layer-by-layer self-assembly material.
A preparation method of a layer-by-layer self-assembly material comprises the following steps:
providing a first solution; the first solution comprises polydopamine-coated carboxylated carbon nanotubes;
providing a second solution; the second solution comprises chitosan;
dipping the flexible substrate in the second solution, and then dipping the flexible substrate in the first solution; the impregnation is circulated for a plurality of times;
and (5) drying after the impregnation is finished.
In the application, the carboxylated carbon nanotube coated with the polydopamine has good dispersibility in water because the polydopamine contains abundant hydrophilic groups.
Preferably, the first solution is prepared by the following method:
dispersing the carboxyl carbon nano tubes coated with polydopamine in deionized water, and then carrying out ball milling for 6-8 hours; and carrying out ultrasonic dispersion on the dispersion liquid obtained after ball milling for 20-40 minutes.
More preferably, wherein the weight of the pickaxel beads is 300g more than the weight of the dispersion. Therefore, the pickaxe bead and the dispersion liquid are balanced, and the collision shearing of the pickaxe bead on the conductive material in the dispersion liquid is facilitated.
Preferably, the polydopamine-coated carboxylated carbon nanotube is prepared by the following method:
dispersing dopamine in deionized water, then adjusting the pH value to 7.5-9.5 by using Tris (hydroxymethyl) aminomethane hydrochloride (Tris-HCl), then adding a carboxylated carbon nanotube, stirring for reacting for 22-26 hours, and separating and drying to obtain the polydopamine-coated carboxylated carbon nanotube.
More preferably, the Tris-HCl concentration is 10mM, adjusted to pH 8.5.
More preferably, the mass ratio of dopamine to carboxylated carbon nanotubes is 1: 1.
Preferably, the second solution is prepared by the following method:
adding chitosan and 2 wt% acetic acid solution into deionized water, and uniformly stirring to obtain a second solution.
Preferably, the dipping time in the second solution is 4-6 min each time; the dipping time in the first solution is 4-6 min each time. Ensuring adequate contact of the conductive material with the substrate.
In order to further improve the performance of the layer-by-layer self-assembly material, the method preferably further comprises the step of pretreating the flexible substrate before the impregnation; the pretreatment comprises the following steps:
and soaking the flexible substrate in an alkali solution to remove oil, and performing ultrasonic oscillation after cleaning.
The preparation method of the layer-by-layer self-assembly material is simple and convenient through electrostatic self-assembly. And electrostatic self-assembly overcomes the defect of poor combination of the conductive material and the flexible substrate.
The invention also provides a flexible strain sensor.
A flexible strain sensor comprises the layer-by-layer self-assembly material provided by the invention.
The self-assembly lamination layer is tightly combined with the flexible substrate, so that the stretching induction range is enlarged, and the flexible strain sensor can adapt to stretching in a wide range; the self-assembled stack provides high sensitivity and good stability while increasing the sensing range.
The invention is further illustrated with reference to the following specific examples.
Example 1
Adding a certain amount of dopamine into deionized water according to the concentration of 2g/L, uniformly stirring, adjusting the pH value to 8.5 by using Tris-HCl (10mmol/L), then adding the carboxylated carbon nanotube, stirring and reacting for 24 hours at room temperature, centrifugally separating after the reaction is finished (rotating speed is 11000r/min), cleaning and drying. And obtaining the carboxyl carbon nano tube coated by the polydopamine.
0.2g of polydopamine-coated carboxylated carbon nanotubes are dispersed in 200mL of deionized water, 502g of pickaxel beads are then added, and the mixture is ground for 7 hours by a mechanical stirrer at a rotating speed of 3200 r/min. And filtering after the ball milling is finished to remove the pickaxe beads. Finally, ultrasonic dispersion was performed for 30 minutes to obtain a first solution.
0.08g of chitosan and 2 wt% acetic acid solution were added to 100mL of deionized water and stirred uniformly to obtain a second solution.
Soaking spandex in NaOH (40g/L) solution for 40 minutes, cleaning, and placing the spandex in ethanol solution (200mL/L) for ultrasonic oscillation for 15 minutes. And then the substrate is placed into an oven to be dried for 1 hour, so that a pretreated substrate is obtained.
And soaking the pretreated substrate in the second solution for 5 minutes, taking out and airing for 2 minutes, soaking the pretreated substrate in the first solution for 5 minutes, taking out and airing for 2 minutes. The impregnation is repeated for 32 times, and finally the mixture is put into an oven to be dried for 2 hours.
The resulting layer-by-layer self-assembled material was designated A1.
Example 2
Unlike example 1, polydopamine-coated carboxylated carbon nanotubes were 0.4g and pickaxel beads 506 g. The other portions are the same as in example 1.
The resulting layer-by-layer self-assembled material was designated A2.
Example 3
Unlike example 1, polydopamine-coated carboxylated carbon nanotubes were 0.5g and pickaxe beads 507 g. The other portions are the same as in example 1.
The resulting layer-by-layer self-assembled material was designated A3.
Example 4
Unlike example 1, polydopamine-coated carboxylated carbon nanotubes were 0.6g and pickaxel beads 508 g. The other portions are the same as in example 1.
The resulting layer-by-layer self-assembled material was designated A4.
Example 5
Unlike example 1, polydopamine-coated carboxylated carbon nanotubes were 0.8g and pickaxel beads 510 g. The other portions are the same as in example 1.
The resulting layer-by-layer self-assembled material was designated A5.
And (3) performance testing:
the resistance change of the layer-by-layer self-assembly material A1-A5 is measured under different strain stretching processes. The test results are shown in FIG. 1.
As can be seen from FIG. 1, the resistance of the layer-by-layer self-assembly material A1-A5 changes relatively greatly under different strain tensions, and both have relatively good sensitivity. As can be seen from fig. 1, the resistance change of the layer-by-layer self-assembly material a1-a5 gradually increases with the increase of strain, and the sensitivity also increases.
The magnitude of the induced maximum tensile range and sensitivity in the range of 0-40% for the layer-by-layer self-assembled material A1-A5 was measured. The test results are shown in FIG. 2.
In fig. 2, the circle-dot curve represents the sensing range and the square-dot curve represents the magnitude of sensitivity of the band. As can be seen from FIG. 2, as the concentration of the polydopamine coated carboxylated carbon nanotubes increases, the sensing range and sensitivity both gradually increase and gradually decrease after reaching a maximum at 2.5g/L, indicating that the concentration is the optimal concentration in the sensor. The sensitivity of the sensor with the optimal concentration can reach 160%, and the maximum sensing range can reach 110%.
The layer-by-layer self-assembled material of example 3 was tested for resistance change under multiple cycles of stretching at different rates (0.5-6 mm/s). The test results are shown in FIG. 3.
As can be seen from FIG. 3, the resistance changes tend to be consistent when the layers are stretched at different rates, which indicates that the layer-by-layer self-assembled material can maintain stable induction when the layers are stretched at different rates.
The layer-by-layer self-assembled material of example 3 was subjected to resistance change testing under multiple stretches at different strains (20-100%). The test results are shown in FIG. 4.
As can be seen from fig. 4, under different tensile strains, the resistance changes generated by multiple times of stretching tend to be consistent, which indicates that the layer-by-layer self-assembled material can stably sense under different stretching ranges.
The layer-by-layer self-assembled material of example 3 was subjected to a resistance change test of 3500 cycles, and the test results are shown in fig. 5.
As can be seen from fig. 5, the resistance changes tend to be significant in both the early cycle and the late cycle, and the resistance changes can be displayed in 3500 cycles, which indicates that the sensor is stable in sensing, can be used for many times, and has excellent durability.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A layer-by-layer self-assembled material comprising a flexible substrate, and a self-assembled laminate attached to the flexible substrate; the self-assembled lamination comprises a first layer and a second layer which are alternately assembled at intervals;
the first layer comprises polydopamine coated carboxylated carbon nanotubes;
the second layer comprises chitosan.
2. The layer-by-layer self-assembled layer of claim 1, wherein the material of the flexible substrate is spandex.
3. The layer-by-layer self-assembled layer of claim 1, wherein the number of layers of the self-assembled stack is 8 to 64.
4. A preparation method of a layer-by-layer self-assembly material is characterized by comprising the following steps:
providing a first solution; the first solution comprises polydopamine-coated carboxylated carbon nanotubes;
providing a second solution; the second solution comprises chitosan;
dipping the flexible substrate in the second solution, and then dipping the flexible substrate in the first solution; the impregnation is circulated for a plurality of times;
and (5) drying after the impregnation is finished.
5. The method for preparing a layer-by-layer self-assembled material according to claim 4, wherein the time for each immersion in the second solution is 4-6 min; the dipping time in the first solution is 4-6 min each time.
6. The method of preparing a layer-by-layer self-assembled material of claim 4, further comprising pre-treating the flexible substrate prior to dipping; the pretreatment comprises the following steps:
and soaking the flexible substrate in an alkali solution to remove oil, and performing ultrasonic oscillation after cleaning.
7. The method of preparing a layer-by-layer self-assembled material of claim 4, wherein the first solution is prepared by:
dispersing the carboxyl carbon nano tubes coated with polydopamine in deionized water, and then carrying out ball milling for 6-8 hours; and carrying out ultrasonic dispersion on the dispersion liquid obtained after ball milling for 20-40 minutes.
8. The method for preparing a layer-by-layer self-assembled material according to claim 4, wherein the polydopamine-coated carboxylated carbon nanotube is prepared by the following method:
dispersing dopamine in deionized water, then adjusting the pH value to 7.5-9.5 by using trihydroxymethyl aminomethane hydrochloride, then adding a carboxylated carbon nanotube, stirring and reacting for 22-26 hours, and separating and drying to obtain the polydopamine-coated carboxylated carbon nanotube.
9. The method of preparing a layer-by-layer self-assembled material of claim 4, wherein the second solution is prepared by:
adding chitosan and 2 wt% acetic acid solution into deionized water, and uniformly stirring to obtain a second solution.
10. A flexible strain sensor comprising the layer-by-layer self-assembled material of any of claims 1-3.
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