CN110018204A - A kind of method of polyaniline carbonizatin method preparation high-performance gas sensor - Google Patents
A kind of method of polyaniline carbonizatin method preparation high-performance gas sensor Download PDFInfo
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- 229920000767 polyaniline Polymers 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 14
- 238000002360 preparation method Methods 0.000 title claims abstract description 14
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Chemical compound O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract description 28
- LFQSCWFLJHTTHZ-UHFFFAOYSA-N EtOH Substances CCO LFQSCWFLJHTTHZ-UHFFFAOYSA-N 0.000 claims abstract description 25
- 238000003763 carbonization Methods 0.000 claims abstract description 20
- 239000011858 nanopowder Substances 0.000 claims abstract description 17
- WSFSSNUMVMOOMR-NJFSPNSNSA-N methanone Chemical compound O=[14CH2] WSFSSNUMVMOOMR-NJFSPNSNSA-N 0.000 claims abstract description 5
- 230000035945 sensitivity Effects 0.000 claims abstract description 5
- 229910052757 nitrogen Inorganic materials 0.000 claims abstract description 4
- 239000007789 gas Substances 0.000 claims description 41
- 239000008367 deionised water Substances 0.000 claims description 21
- 229910021641 deionized water Inorganic materials 0.000 claims description 21
- QGZKDVFQNNGYKY-UHFFFAOYSA-N Ammonia Chemical compound N QGZKDVFQNNGYKY-UHFFFAOYSA-N 0.000 claims description 20
- VEXZGXHMUGYJMC-UHFFFAOYSA-N Hydrochloric acid Chemical compound Cl VEXZGXHMUGYJMC-UHFFFAOYSA-N 0.000 claims description 18
- PAYRUJLWNCNPSJ-UHFFFAOYSA-N Aniline Chemical compound NC1=CC=CC=C1 PAYRUJLWNCNPSJ-UHFFFAOYSA-N 0.000 claims description 12
- ROOXNKNUYICQNP-UHFFFAOYSA-N ammonium persulfate Chemical compound [NH4+].[NH4+].[O-]S(=O)(=O)OOS([O-])(=O)=O ROOXNKNUYICQNP-UHFFFAOYSA-N 0.000 claims description 12
- 229910021529 ammonia Inorganic materials 0.000 claims description 9
- IJGRMHOSHXDMSA-UHFFFAOYSA-N Atomic nitrogen Chemical compound N#N IJGRMHOSHXDMSA-UHFFFAOYSA-N 0.000 claims description 7
- 229910001870 ammonium persulfate Inorganic materials 0.000 claims description 6
- 239000002244 precipitate Substances 0.000 claims description 6
- 238000003756 stirring Methods 0.000 claims description 6
- 238000005229 chemical vapour deposition Methods 0.000 claims description 5
- 239000000463 material Substances 0.000 claims description 4
- 238000010000 carbonizing Methods 0.000 claims description 3
- 238000001035 drying Methods 0.000 claims description 3
- 238000003491 array Methods 0.000 claims description 2
- 230000035484 reaction time Effects 0.000 claims 1
- 238000001514 detection method Methods 0.000 abstract description 19
- VHUUQVKOLVNVRT-UHFFFAOYSA-N Ammonium hydroxide Chemical compound [NH4+].[OH-] VHUUQVKOLVNVRT-UHFFFAOYSA-N 0.000 abstract description 7
- 235000011114 ammonium hydroxide Nutrition 0.000 abstract description 7
- 238000011084 recovery Methods 0.000 abstract description 5
- 239000000919 ceramic Substances 0.000 abstract description 3
- 238000003672 processing method Methods 0.000 abstract description 3
- 239000004065 semiconductor Substances 0.000 abstract description 3
- 239000000758 substrate Substances 0.000 abstract description 3
- WSFSSNUMVMOOMR-UHFFFAOYSA-N Formaldehyde Chemical compound O=C WSFSSNUMVMOOMR-UHFFFAOYSA-N 0.000 description 33
- 230000004044 response Effects 0.000 description 28
- 231100000331 toxic Toxicity 0.000 description 6
- 230000002588 toxic effect Effects 0.000 description 6
- 239000002341 toxic gas Substances 0.000 description 6
- 230000036541 health Effects 0.000 description 5
- 238000012360 testing method Methods 0.000 description 4
- 238000003915 air pollution Methods 0.000 description 3
- 229910001873 dinitrogen Inorganic materials 0.000 description 3
- 230000007613 environmental effect Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
- 206010028980 Neoplasm Diseases 0.000 description 2
- 239000002253 acid Substances 0.000 description 2
- 239000003513 alkali Substances 0.000 description 2
- 201000011510 cancer Diseases 0.000 description 2
- 230000002354 daily effect Effects 0.000 description 2
- 239000003337 fertilizer Substances 0.000 description 2
- 235000013305 food Nutrition 0.000 description 2
- 238000009776 industrial production Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 238000011160 research Methods 0.000 description 2
- 238000001228 spectrum Methods 0.000 description 2
- 206010006784 Burning sensation Diseases 0.000 description 1
- 206010013975 Dyspnoeas Diseases 0.000 description 1
- 206010014561 Emphysema Diseases 0.000 description 1
- 208000019693 Lung disease Diseases 0.000 description 1
- GRYLNZFGIOXLOG-UHFFFAOYSA-N Nitric acid Chemical compound O[N+]([O-])=O GRYLNZFGIOXLOG-UHFFFAOYSA-N 0.000 description 1
- 238000004458 analytical method Methods 0.000 description 1
- 231100000357 carcinogen Toxicity 0.000 description 1
- 239000003183 carcinogenic agent Substances 0.000 description 1
- 238000005034 decoration Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 210000002249 digestive system Anatomy 0.000 description 1
- 201000010099 disease Diseases 0.000 description 1
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 1
- 239000003814 drug Substances 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000003203 everyday effect Effects 0.000 description 1
- 238000004880 explosion Methods 0.000 description 1
- 239000002360 explosive Substances 0.000 description 1
- -1 formaldehyde, benzene series Chemical class 0.000 description 1
- 229910052500 inorganic mineral Inorganic materials 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 210000004072 lung Anatomy 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000001000 micrograph Methods 0.000 description 1
- 239000011707 mineral Substances 0.000 description 1
- 210000004877 mucosa Anatomy 0.000 description 1
- 229910017604 nitric acid Inorganic materials 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 239000002994 raw material Substances 0.000 description 1
- 210000002345 respiratory system Anatomy 0.000 description 1
- 229920006395 saturated elastomer Polymers 0.000 description 1
- 230000004083 survival effect Effects 0.000 description 1
- 210000003437 trachea Anatomy 0.000 description 1
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Abstract
本发明涉及一种将基于盐酸掺杂聚苯胺纳米粉末碳化后的气体传感器阵列的制备方法。该方法中涉及的装置是由4个传感器、陶瓷基底和8个电极组成,简单的利用碳化不同的时间造成半导体P、N型的变化,并由此引起各传感器间检测性能的差异,并大大提高了气体传感器的灵敏度。采用雷达指纹图谱的数据处理方法,在室温下(25℃)可实现对氨水、甲醛、乙醇和水蒸气的快速(27秒)识别检测,弥补了传统聚苯胺传感器敏感度低和恢复时间长的缺点。本发明所涉及的传感器阵列制备方法简单,具有在室温下进行非接触式识别检测的优点,极大的增强了传感器阵列的实用性。The invention relates to a preparation method of a gas sensor array based on carbonization of hydrochloric acid-doped polyaniline nano-powder. The device involved in this method is composed of 4 sensors, a ceramic substrate and 8 electrodes. The change of the semiconductor P and N types is simply caused by different carbonization times, and the difference in detection performance between the sensors is thus caused, and the difference is greatly reduced. Improved gas sensor sensitivity. Using the data processing method of radar fingerprint, it can realize rapid (27 seconds) identification and detection of ammonia water, formaldehyde, ethanol and water vapor at room temperature (25 ℃), which makes up for the low sensitivity and long recovery time of traditional polyaniline sensors. shortcoming. The preparation method of the sensor array involved in the present invention is simple, has the advantages of non-contact identification and detection at room temperature, and greatly enhances the practicability of the sensor array.
Description
技术领域technical field
本发明涉及有毒气体检测领域,特别是涉及一种可识别性检测有毒气氛的方法,该方法通过将聚苯胺直接碳化来改善其气敏传感特性,实现对多种目标气体的差异性响应。The invention relates to the field of toxic gas detection, in particular to a method for identifiable detection of toxic atmosphere. The method improves its gas-sensing sensing characteristics by directly carbonizing polyaniline and realizes differential responses to various target gases.
背景技术Background technique
近年来我国社会经济持续发展,农业矿物资源消耗持续增加,与此同时也产生了大量的有毒有害气体,但我国的环境保护起步较晚,环境保护意识水平不高,因此人们日常生活和生产工作的环境也越发恶劣,大气污染越发严重。洁净的大气环境是人们生存的最重要条件之一,是保证人们正常生活和健康的必要条件。有毒气体会通过各种途径侵入人体,引发各种疾病,危害身体健康。例如通过与皮肤等的直接接触,通过呼吸系统侵入人体以及污染的食物通过消化系统侵入人体等。空气污染形势的日益严峻,引起了公众及国家的高度关注,因此国家也发布了一系列的法律法规来预防和治理空气污染。日常生活中家庭装修及家具和汽车内饰等释放的甲醛、苯系物等有害气体的检测,以及工业生产过程中各种有害气体泄漏的检测和爆炸事故现场有毒有害气体的实时监测等成为很重要的研究课题。比如对氨水,甲醛和乙醇等实现各种现场的污染气体的高效预警和实时监测,也是环境保护的基础工作。因此,我们致力于找到一种低成本,高响应,环保的气体检测传感器去检测各种有毒有害气体。氨水和甲醛对人身体健康危害较大。甲醛是一种有毒性气体,它无色,易溶于水,具有刺激性气味。甲醛在日常生活中无处不在,它经常存在于家具,衣服和工业生产中。吸入甲醛气体会使眼睛,喉咙有灼热感甚至呼吸困难。当甲醛浓度过高并且长时间吸入时,会导致更严重的肺部疾病,甚至患癌症。早在2017年10月27日,甲醛就出现在世界卫生组织国际癌症研究机构公布的致癌物清单中。氨对地球上的生物相当重要,它是许多食物和肥料的重要成分,也是所有药物直接或间接的组成。氨有很广泛的用途,但同时也具有很多危险性质,氨气是一种有毒气体,氨气气体的吸入也会危害身体健康,当吸入高浓度氨气时会引起气管、支气管粘膜损伤甚至肺气肿。氨也是制造硝酸、化肥、炸药的重要原料,因其具有很强的爆炸性,有很大可能被用于恐怖袭击。因此氨气这种高毒性气体的检测与实时监控在工业,农业,医疗领域,甚至是社会安全隐患排查领域都是非常重要的,所以我们急切的需要制造出更符合实际情况,更经济有效的气体传感器来检测这些气体。In recent years, my country's social economy has continued to develop, and the consumption of agricultural mineral resources has continued to increase. At the same time, a large amount of toxic and harmful gases has also been produced. However, my country's environmental protection started late, and the level of environmental protection awareness is not high. Therefore, people's daily life and production work The environment is getting worse and the air pollution is getting worse. A clean atmosphere is one of the most important conditions for people's survival and a necessary condition to ensure people's normal life and health. Toxic gases will invade the human body through various ways, causing various diseases and endangering health. For example, through direct contact with the skin, etc., intrusion into the human body through the respiratory system, and intrusion of contaminated food into the human body through the digestive system. The increasingly severe situation of air pollution has aroused the high attention of the public and the country, so the country has also issued a series of laws and regulations to prevent and control air pollution. The detection of formaldehyde, benzene series and other harmful gases released from home decoration and furniture and car interiors in daily life, as well as the detection of various harmful gas leaks in the industrial production process and the real-time monitoring of toxic and harmful gases at the scene of explosion accidents have become very important. important research topic. For example, the efficient early warning and real-time monitoring of various on-site polluting gases such as ammonia, formaldehyde and ethanol are also the basic work of environmental protection. Therefore, we are committed to finding a low-cost, high-response, and environmentally friendly gas detection sensor to detect various toxic and harmful gases. Ammonia and formaldehyde are harmful to human health. Formaldehyde is a toxic gas, it is colorless, soluble in water, and has a pungent odor. Formaldehyde is ubiquitous in everyday life, and it is often found in furniture, clothing and industrial production. Inhaling formaldehyde gas can cause burning sensations in the eyes, throat and even difficulty breathing. When the formaldehyde concentration is too high and inhaled for a long time, it can lead to more serious lung disease and even cancer. As early as October 27, 2017, formaldehyde appeared in the list of carcinogens published by the World Health Organization's International Agency for Research on Cancer. Ammonia is very important to life on earth, it is an important component of many foods and fertilizers, and it is also a direct or indirect component of all medicines. Ammonia has a wide range of uses, but it also has many dangerous properties. Ammonia is a toxic gas. The inhalation of ammonia gas will also endanger health. When inhaling high concentrations of ammonia gas, it will cause damage to the trachea, bronchial mucosa and even lungs. emphysema. Ammonia is also an important raw material for the manufacture of nitric acid, fertilizers, and explosives. Because of its strong explosiveness, it is likely to be used in terrorist attacks. Therefore, the detection and real-time monitoring of ammonia, a highly toxic gas, is very important in industry, agriculture, medical fields, and even in the field of social security hidden danger investigation. Therefore, we urgently need to create a more practical, more cost-effective and effective Gas sensors to detect these gases.
近年来,基于电阻型气敏传感器的衡量检测技术快速发展,为气体检测提供了新的思路和方法。掺杂过的聚苯胺一般常用于检测强酸强碱气体,且碳化前聚苯胺导电性能比较差,而高选择性和低功耗是衡量电阻型气敏传感器性能的两项重要指标,碳化后的聚苯胺有更高的选择性和灵敏度,从而实现室温下对除强酸强碱类气体的识别性检测。In recent years, measurement and detection technology based on resistive gas sensors has developed rapidly, providing new ideas and methods for gas detection. Doped polyaniline is generally used to detect strong acid and strong alkali gases, and the conductivity of polyaniline before carbonization is relatively poor, while high selectivity and low power consumption are two important indicators to measure the performance of resistance gas sensors. Polyaniline has higher selectivity and sensitivity, so as to realize the identification and detection of strong acid and alkali gases at room temperature.
发明内容SUMMARY OF THE INVENTION
本发明的目的在于提供一种基于盐酸掺杂聚苯胺碳化后纳米粉末的气体传感器阵列的制备方法。该方法中涉及的装置是由4个传感器、陶瓷基底和8个电极组成,简单的利用碳化不同的时间造成表面态和电子耗尽层的变化,并由此引起各传感器间检测性能的差异,采用雷达指纹图谱的数据处理方法,在室温下(25 ℃)可实现对氨水,甲醛,乙醇和水蒸气的识别检测。The purpose of the present invention is to provide a preparation method of a gas sensor array based on hydrochloric acid-doped polyaniline carbonized nano-powder. The device involved in this method is composed of 4 sensors, a ceramic substrate and 8 electrodes. The surface state and electron depletion layer are changed by simply using different time of carbonization, and the difference in detection performance between the sensors is caused. Using the data processing method of radar fingerprint, the identification and detection of ammonia water, formaldehyde, ethanol and water vapor can be realized at room temperature (25 ℃).
本发明所述是一种将基于盐酸掺杂聚苯胺碳化后纳米粉末的气体传感器阵列的制备方法,具体操作按下列步骤进行:Described in the present invention is a method for preparing a gas sensor array based on hydrochloric acid-doped polyaniline carbonized nano-powder, and the specific operation is carried out according to the following steps:
气敏材料的制备:Preparation of gas sensitive materials:
a、按摩尔比5:16将过硫酸铵和盐酸溶解于25 mL去离子水中;a. Dissolve ammonium persulfate and hydrochloric acid in 25 mL of deionized water in a molar ratio of 5:16;
b、将5mL的苯胺溶解于400mL的去离子水中,进而将步骤a得到的溶液缓慢滴入其中,在25℃,避光条件下搅拌19h;得到的溶液使用去离子水超声,离心分离6次;b. Dissolve 5 mL of aniline in 400 mL of deionized water, and then slowly drop the solution obtained in step a into it, and stir for 19 hours at 25° C. in the dark; the obtained solution is ultrasonicated with deionized water and centrifuged for 6 times ;
c、将步骤b得到的沉淀物在温度25℃条件下干燥约24h,得到盐酸掺杂的聚苯胺纳米粉末;c, drying the precipitate obtained in step b at a temperature of 25°C for about 24 hours to obtain a hydrochloric acid-doped polyaniline nano-powder;
d、将步骤c中得到的盐酸掺杂的聚苯胺纳米粉末分成分别四份,取出其中三份分别放入化学气相沉积炉,在通入氮气保护下碳化1h,3h和5h。d. Divide the hydrochloric acid-doped polyaniline nano-powder obtained in step c into four parts, take out three parts and put them into a chemical vapor deposition furnace respectively, and carbonize them for 1h, 3h and 5h under the protection of nitrogen gas.
电阻式气体传感器阵列的制备:Preparation of Resistive Gas Sensor Arrays:
e、将步骤c、d中得到的盐酸掺杂的聚苯胺纳米粉末分散在去离子水中并研磨10分钟,得到4份盐酸掺杂的聚苯胺纳米糊状物,再将其分别均匀地涂覆在第一传感器、第二传感器、第三传感器和第四传感器上,在室温下干燥24h,组成气体传感器阵列。e. Disperse the hydrochloric acid-doped polyaniline nano-powder obtained in steps c and d in deionized water and grind for 10 minutes to obtain 4 parts of hydrochloric acid-doped polyaniline nano-paste, which are then uniformly coated respectively. The first sensor, the second sensor, the third sensor and the fourth sensor were dried at room temperature for 24 hours to form a gas sensor array.
所述方法获得的将盐酸掺杂聚苯胺碳化后纳米结构的气体传感器阵列具有检测含有氨水、甲醛、乙醇和水蒸有毒气氛的用途,而且碳化后会将聚苯胺P型半导体变成N型半导体。The nanostructured gas sensor array obtained by carbonizing hydrochloric acid-doped polyaniline has the purpose of detecting toxic atmospheres containing ammonia, formaldehyde, ethanol and steam, and after carbonization, the polyaniline P-type semiconductor will be changed into an N-type semiconductor. .
本发明的目的在于,提供一种基于将盐酸掺杂聚苯胺碳化后纳米粉末的气体传感器阵列的制备方法。该方法中涉及的装置是由第一传感器、第二传感器、第三传感器和第四传感器上、陶瓷基底和8个电极组成,简单的利用碳化不同的时间造成表面态和电子耗尽层的变化,并由此引起各传感器间检测性能的差异,增强气体传感器的灵敏度。采用雷达指纹图谱的数据处理方法,在室温下(25 ℃)可实现对氨水,甲醛,乙醇和水蒸气的识别检测。The purpose of the present invention is to provide a method for preparing a gas sensor array based on carbonized nano-powders of hydrochloric acid-doped polyaniline. The device involved in the method is composed of a first sensor, a second sensor, a third sensor and a fourth sensor, a ceramic substrate and 8 electrodes, and the surface state and electron depletion layer are changed simply by carbonization at different times. , and thus cause the difference of detection performance among the sensors, and enhance the sensitivity of the gas sensor. Using the data processing method of radar fingerprint, the identification and detection of ammonia water, formaldehyde, ethanol and water vapor can be realized at room temperature (25 ℃).
附图说明Description of drawings
图1为本发明中扫描电子显微镜图(a)至(d)分别对应盐酸掺杂聚苯胺未碳化以及碳化1, 3, 5h后;1 is the scanning electron microscope images (a) to (d) of the present invention respectively corresponding to the hydrochloric acid-doped polyaniline without carbonization and after carbonization for 1, 3, and 5 hours;
图2为本发明中传感器阵列对室温下的氨水和空气的响应曲线图,其中由(a)至(d)所对应的响应曲线分别对应着第一传感器、第二传感器、第三传感器、第四传感器;2 is a graph showing the response curves of the sensor array to ammonia water and air at room temperature in the present invention, wherein the response curves corresponding to (a) to (d) correspond to the first sensor, the second sensor, the third sensor, the Four sensors;
图3为本发明中传感器阵列对室温下的甲醛和空气的响应曲线图,其中由(a)至(d)所对应的响应曲线分别对应着第一传感器、第二传感器、第三传感器、第四传感器;3 is a graph showing the response curves of the sensor array to formaldehyde and air at room temperature in the present invention, wherein the response curves corresponding to (a) to (d) correspond to the first sensor, the second sensor, the third sensor, the Four sensors;
图4为本发明中传感器阵列对室温下的乙醇和空气的响应曲线图,其中由(a)至(d)所对应的响应曲线分别对应着第一传感器、第二传感器、第三传感器、第四传感器;4 is a graph showing the response curves of the sensor array to ethanol and air at room temperature in the present invention, wherein the response curves corresponding to (a) to (d) correspond to the first sensor, the second sensor, the third sensor, the Four sensors;
图5为本发明中传感器阵列对室温下的饱和蒸汽的响应曲线图,其中由(a)至(d)所对应的响应曲线分别对应着第一传感器、第二传感器、第三传感器、第四传感器;5 is a response curve diagram of the sensor array in the present invention to saturated steam at room temperature, wherein the response curves corresponding to (a) to (d) correspond to the first sensor, the second sensor, the third sensor, the fourth sensor, respectively. sensor;
图6为本发明中氨水(a)、甲醛(b)、水蒸气(c)和乙醇(d)的雷达指纹谱图;Fig. 6 is the radar fingerprint spectrum of ammonia water (a), formaldehyde (b), water vapor (c) and ethanol (d) in the present invention;
具体实施方式Detailed ways
以下结合附图和实施例对本发明进行详细说明:The present invention will be described in detail below in conjunction with the accompanying drawings and embodiments:
实施例1 一种聚苯胺碳化法制备高性能气敏传感器的方法Example 1 A method for preparing high-performance gas sensor by polyaniline carbonization
聚苯胺碳化法气敏材料的制备方法包括气敏材料的制备、气体传感器阵列的制备、气体传感器阵列对目标气氛的检测和有毒气体的识别区分四个阶段。The preparation method of polyaniline carbonization gas sensor material includes four stages: preparation of gas sensor material, preparation of gas sensor array, detection of target atmosphere by gas sensor array and identification and distinction of toxic gas.
a、按摩尔比5:16将过硫酸铵和盐酸溶解于25 mL去离子水中;a. Dissolve ammonium persulfate and hydrochloric acid in 25 mL of deionized water in a molar ratio of 5:16;
b、将5 mL的苯胺溶解于400 mL的去离子水中,进而将步骤a得到的溶液缓慢滴入其中,在25 ℃,避光条件下搅拌19 h;得到的溶液使用去离子水超声,离心分离6次;b. Dissolve 5 mL of aniline in 400 mL of deionized water, and then slowly drop the solution obtained in step a into it, and stir at 25 °C for 19 h under dark conditions; the obtained solution is ultrasonicated with deionized water and centrifuged Separate 6 times;
c、将步骤b得到的沉淀物在温度25℃条件下干燥约24h,得到盐酸掺杂的聚苯胺纳米粉末;c, drying the precipitate obtained in step b at a temperature of 25°C for about 24 hours to obtain a hydrochloric acid-doped polyaniline nano-powder;
a、按摩尔比5:16将过硫酸铵和盐酸溶解于25 mL去离子水中;a. Dissolve ammonium persulfate and hydrochloric acid in 25 mL of deionized water in a molar ratio of 5:16;
b、将5mL的苯胺溶解于400 mL的去离子水中,进而将步骤a得到的溶液缓慢滴入其中,在25℃,避光条件下搅拌19 h;得到的溶液使用去离子水超声,离心分离6次;b. Dissolve 5 mL of aniline in 400 mL of deionized water, and then slowly drop the solution obtained in step a into it, and stir at 25°C for 19 h under dark conditions; the obtained solution is ultrasonicated with deionized water and centrifuged. 6 times;
c、将步骤b得到的沉淀物在温度25 ℃条件下干燥约24h,得到盐酸掺杂的聚苯胺纳米粉末,取出其中一份放入化学气相沉积炉,在通入氮气保护下碳化1 h碳化温度设置为600℃;c. Dry the precipitate obtained in step b at a temperature of 25 °C for about 24 hours to obtain polyaniline nano-powder doped with hydrochloric acid, take out a portion of it and put it in a chemical vapor deposition furnace, and carbonize it for 1 h under the protection of nitrogen gas. The temperature is set to 600℃;
a、按摩尔比5:16将过硫酸铵和盐酸溶解于25 mL去离子水中;a. Dissolve ammonium persulfate and hydrochloric acid in 25 mL of deionized water in a molar ratio of 5:16;
b、将5 mL的苯胺溶解于400 mL的去离子水中,进而将步骤a得到的溶液缓慢滴入其中,在25 ℃,避光条件下搅拌19 h;得到的溶液使用去离子水超声,离心分离6次;b. Dissolve 5 mL of aniline in 400 mL of deionized water, and then slowly drop the solution obtained in step a into it, and stir at 25 °C for 19 h under dark conditions; the obtained solution is ultrasonicated with deionized water and centrifuged Separate 6 times;
c、将步骤b得到的沉淀物在温度25 ℃条件下干燥约24h,得到盐酸掺杂的聚苯胺纳米粉末,取出其中一份放入化学气相沉积炉,在通入氮气保护下碳化3h碳化温度设置为600 ℃;c. Dry the precipitate obtained in step b at a temperature of 25 °C for about 24 hours to obtain a polyaniline nano-powder doped with hydrochloric acid, take out a portion of it and put it into a chemical vapor deposition furnace, and carbonize it for 3 hours under the protection of nitrogen. Set to 600 ℃;
a、按摩尔比5:16将过硫酸铵和盐酸溶解于25 mL去离子水中;a. Dissolve ammonium persulfate and hydrochloric acid in 25 mL of deionized water in a molar ratio of 5:16;
b、将5 mL的苯胺溶解于400 mL的去离子水中,进而将步骤a得到的溶液缓慢滴入其中,在25 ℃,避光条件下搅拌19 h;得到的溶液使用去离子水超声,离心分离6次;b. Dissolve 5 mL of aniline in 400 mL of deionized water, and then slowly drop the solution obtained in step a into it, and stir at 25 °C for 19 h under dark conditions; the obtained solution is ultrasonicated with deionized water and centrifuged Separate 6 times;
c、将步骤b得到的沉淀物在温度25 ℃条件下干燥约24h,得到盐酸掺杂的聚苯胺纳米粉末,取出其中一份放入化学气相沉积炉,在通入氮气保护下碳化5 h碳化温度设置为600 ℃;c. Dry the precipitate obtained in step b at a temperature of 25 °C for about 24 hours to obtain polyaniline nano-powder doped with hydrochloric acid, take out a portion of it and put it in a chemical vapor deposition furnace, and carbonize it for 5 hours under the protection of nitrogen gas. The temperature is set to 600 ℃;
气体传感器阵列的制备:Preparation of gas sensor array:
将实施例1-4中步骤c得到的盐酸掺杂的聚苯胺纳米粉末分别分散在去离子水中并研磨10分钟,得到4份盐酸掺杂的聚苯胺纳米粉末糊状物,再将其分别均匀地涂覆在第一传感器、第二传感器、第三传感器和第四传感器上,在室温下干燥,组成气体传感器阵列。The hydrochloric acid-doped polyaniline nano-powders obtained in step c in Examples 1-4 were dispersed in deionized water and ground for 10 minutes to obtain 4 parts of hydrochloric acid-doped polyaniline nano-powder pastes, which were then homogeneously The gas is coated on the first sensor, the second sensor, the third sensor and the fourth sensor, and dried at room temperature to form a gas sensor array.
气体传感器阵列对目标气氛的检测:Detection of target atmosphere by gas sensor array:
气体传感器阵列对目标气氛的检测:Detection of target atmosphere by gas sensor array:
接通凯瑟琳电表电源,在4 V的偏压下,室温下(温度25 ℃,相对湿度25%)测试步骤d得到的传感器阵列在氨水气氛和空气中的电阻,响应曲线从(a)到(d)分别是碳化0h、1h、3h和5h。从响应曲线可以看出,在室温下,盐酸掺杂聚苯胺电阻型传感器阵列对1000ppm氨水气氛的响应大小分别达到-69.7%、34831.5%、81918.9%和60609.4%;响应时间分别为1.4、24.0、25.9和22.9;恢复时间分别为7.2、1.6、0.9和1.8(如图 3)。Turn on the power of the Catherine meter, and test the resistance of the sensor array obtained in step d in ammonia water atmosphere and air under the bias voltage of 4 V at room temperature (temperature 25 ℃, relative humidity 25%). The response curve is from (a) to ( d) are carbonization 0h, 1h, 3h and 5h, respectively. It can be seen from the response curve that at room temperature, the response sizes of the hydrochloric acid-doped polyaniline resistive sensor array to 1000ppm ammonia water atmosphere reach -69.7%, 34831.5%, 81918.9% and 60609.4%, respectively; the response times are 1.4, 24.0, 25.9 and 22.9; recovery times were 7.2, 1.6, 0.9, and 1.8, respectively (Figure 3).
接通凯瑟琳电表电源,在4 V的偏压下,室温下(温度25 ℃,相对湿度25%)测试步骤d得到的传感器阵列在甲醛气氛和空气中的电阻,响应曲线从(a)到(d)分别是碳化0h、1h、3h和5h。从响应曲线可以看出,在室温下,盐酸掺杂聚苯胺电阻型传感器阵列对1000ppm甲醛气氛的响应大小分别达到-16%、260.9%、761.0%和8191.9%;响应时间分别为11.0、22.7、24.8和14.8;恢复时间分别为10.3、2.1、2.7和1.2(如图4)。Turn on the power of the Catherine meter, and test the resistance of the sensor array obtained in step d in formaldehyde atmosphere and air under the bias voltage of 4 V at room temperature (temperature 25 °C, relative humidity 25%). The response curve is from (a) to ( d) are carbonization 0h, 1h, 3h and 5h, respectively. It can be seen from the response curve that at room temperature, the response sizes of the hydrochloric acid-doped polyaniline resistive sensor array to 1000ppm formaldehyde atmosphere reach -16%, 260.9%, 761.0% and 8191.9%, respectively; the response times are 11.0, 22.7, 24.8 and 14.8; recovery times were 10.3, 2.1, 2.7 and 1.2, respectively (Fig. 4).
接通凯瑟琳电表电源,在4 V的偏压下,室温下(温度25 ℃,相对湿度25%)测试步骤d得到的传感器阵列在中水蒸气和空气中的电阻,响应曲线从(a)到(d)分别是碳化0h、1h、3h和5h。从响应曲线可以看出,在室温下,盐酸掺杂聚苯胺电阻型传感器阵列对1000ppm乙醇的响应大小分别达到-27.9%、9887.5%、6813.6%和18876.4%;响应时间分别为9.5、20.5、24.9和23.5;恢复时间分别为10.3、1.0、1.4和1.7(如图 6)。Turn on the power of the Catherine meter, and test the resistance of the sensor array obtained in step d in water vapor and air at room temperature (temperature 25 °C, relative humidity 25%) under a bias voltage of 4 V. The response curve is from (a) to (d) are carbonization 0h, 1h, 3h and 5h, respectively. It can be seen from the response curve that at room temperature, the response sizes of the hydrochloric acid-doped polyaniline resistive sensor array to 1000ppm ethanol reach -27.9%, 9887.5%, 6813.6% and 18876.4%, respectively; the response times are 9.5, 20.5, and 24.9, respectively. and 23.5; recovery times were 10.3, 1.0, 1.4, and 1.7, respectively (Fig. 6).
接通凯瑟琳电表电源,在4 V的偏压下,室温下(温度25 ℃,相对湿度25%)测试步骤d得到的传感器阵列在乙醇气氛和空气中的电阻,响应曲线从(a)到(d)分别是碳化0h、1h、3h和5h。从响应曲线可以看出,在室温下,盐酸掺杂聚苯胺电阻型传感器阵列对1000ppm乙醇气氛的响应大小分别达到-42.6%、949.0%、7409.6%和3132.2%;响应时间分别为9.5、22.9、16.5和17.7;恢复时间分别为8.8、0.8、1.1和1.0(如图 5)。Turn on the power of the Catherine meter, and test the resistance of the sensor array obtained in step d in ethanol atmosphere and air at room temperature (temperature 25 °C, relative humidity 25%) under a bias voltage of 4 V. The response curve is from (a) to ( d) are carbonization 0h, 1h, 3h and 5h, respectively. It can be seen from the response curve that at room temperature, the response sizes of the hydrochloric acid-doped polyaniline resistive sensor array to 1000ppm ethanol atmosphere reached -42.6%, 949.0%, 7409.6% and 3132.2%, respectively; the response times were 9.5, 22.9, 16.5 and 17.7; recovery times were 8.8, 0.8, 1.1 and 1.0, respectively (Figure 5).
有毒气氛的识别区分:Identification and distinction of toxic atmospheres:
利用雷达指纹图谱分析方法对传感器阵列中的第一传感器、第二传感器、第三传感器和第四传感器对4种气氛的响应大小和响应时间进行处理,得到4种气氛的雷达指纹图谱,根据指纹图谱能够实现对4种气氛的区分,如图6所示;The response size and response time of the first sensor, the second sensor, the third sensor and the fourth sensor in the sensor array to the four atmospheres are processed by the radar fingerprint analysis method, and the radar fingerprints of the four atmospheres are obtained. The spectrum can realize the distinction of four atmospheres, as shown in Figure 6;
通过上述具体的实施例,更容易理解本发明。上述实施例只是举例性的描述,而不应当被理解为用来限制本发明的范围。The present invention can be more easily understood through the above-mentioned specific embodiments. The above-described embodiments are merely illustrative, and should not be construed as limiting the scope of the present invention.
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