Article(id=1236319266983695096, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, articleNumber=null, orderNo=null, doi=10.3969/j.issn.0253-6099.2023.03.038, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1670169600000, receivedDateStr=2022-12-05, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1772691082950, onlineDateStr=2026-03-05, pubDate=1685548800000, pubDateStr=2023-06-01, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772691082950, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772691082950, creator=13701087609, updateTime=1772691082950, updator=13701087609, issue=Issue{id=1236316193171239730, tenantId=1146029695717560320, journalId=1235980550691926019, year='2023', volume='43', issue='3', pageStart='1', pageEnd='179', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772690350096, creator=13701087609, updateTime=1772691872061, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236322576809652696, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236322576809652697, tenantId=1146029695717560320, journalId=1235980550691926019, issueId=1236316193171239730, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=171, endPage=175, ext={EN=ArticleExt(id=1236319267331822352, articleId=1236319266983695096, tenantId=1146029695717560320, journalId=1235980550691926019, language=EN, title=Sensing Performance of Sensor Prepared with ZnO/Activated Carbon Composite Material in Detection of Low-Concentration Ethanol Gas, columnId=1236276108207902848, journalTitle=Mining and Metallurgical Engineering, columnName=MATERIALS, runingTitle=null, highlight=null, articleAbstract=

ZnO narowires were synthesized by adopting hydrothermal synthesis, and ZnO/activated carbon composite material was then prepared by compounding activated carbon powder and nano-ZnO. The research on the sensing performance of such composite to ethanol gas shows that the sensor with ZnO/activated carbon composite presents good response and recovery characteristics to ethanol gas at 150 ℃. Its sensitivity to the ethanol with concentration of 5 × 10-6 can be up to 4.75, and will increase positively with the increase of ethanol concentration, which presents a reproducibility and stability.

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采用水热法合成ZnO一维纳米线材料,以活性炭粉与纳米ZnO复合构筑出ZnO/活性炭复合材料,探究了复合材料对乙醇气体的敏感性能。结果表明,150 ℃时,ZnO/活性炭复合材料传感器对乙醇气体具有良好的响应-恢复特性;对于浓度5 × 10-6的乙醇,传感器灵敏度可达到4.75;传感器灵敏度随着乙醇浓度增加呈正相关提升,且具有很好的重现性。

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陈享享(1990—),男,福建莆田人,博士,副研究员(校聘),主要研究方向为检测技术在矿物加工中的应用。
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陈勇康(2000—),男,福建南平人,研究方向为矿业用半导体气体敏感材料。

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陈勇康(2000—),男,福建南平人,研究方向为矿业用半导体气体敏感材料。

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陈勇康(2000—),男,福建南平人,研究方向为矿业用半导体气体敏感材料。

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ZnO/活性炭复合材料的制备及其传感器对低浓度乙醇的气敏性能
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陈勇康 1, 2 , 宋亚霖 1, 2 , 王运城 1, 2 , 邱榕源 1, 2 , 尚浩然 1, 2 , 林骅 1, 2 , 陈享享 1, 2
矿冶工程杂志 | 材料 2023,43(3): 171-175
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矿冶工程杂志 | 材料 2023, 43(3): 171-175
ZnO/活性炭复合材料的制备及其传感器对低浓度乙醇的气敏性能
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陈勇康1, 2, 宋亚霖1, 2, 王运城1, 2, 邱榕源1, 2, 尚浩然1, 2, 林骅1, 2, 陈享享1, 2
作者信息
  • 1.福州大学 紫金地质与矿业学院,福建 福州 350108
  • 2.福建省新能源金属绿色提取与高值利用重点实验室,福建 福州 350108
  • 陈勇康(2000—),男,福建南平人,研究方向为矿业用半导体气体敏感材料。

通讯作者:

陈享享(1990—),男,福建莆田人,博士,副研究员(校聘),主要研究方向为检测技术在矿物加工中的应用。
Sensing Performance of Sensor Prepared with ZnO/Activated Carbon Composite Material in Detection of Low-Concentration Ethanol Gas
Yongkang CHEN1, 2, Yalin SONG1, 2, Yuncheng WANG1, 2, Rongyuan QIU1, 2, Haoran SHANG1, 2, Hua LIN1, 2, Xiangxiang CHEN1, 2
Affiliations
  • 1.Zijin School of Geology and Mining, Fuzhou University, Fuzhou 350108, Fujian, China
  • 2.Fujian Key Laboratory of Green Extraction and High-Value Utilization of New Energy Metals, Fuzhou 350108, Fujian, China
出版时间: 2023-06-01 doi: 10.3969/j.issn.0253-6099.2023.03.038
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采用水热法合成ZnO一维纳米线材料,以活性炭粉与纳米ZnO复合构筑出ZnO/活性炭复合材料,探究了复合材料对乙醇气体的敏感性能。结果表明,150 ℃时,ZnO/活性炭复合材料传感器对乙醇气体具有良好的响应-恢复特性;对于浓度5 × 10-6的乙醇,传感器灵敏度可达到4.75;传感器灵敏度随着乙醇浓度增加呈正相关提升,且具有很好的重现性。

矿业安全  /  氧化锌  /  活性炭  /  气体传感器  /  敏感材料  /  半导体  /  气敏材料

ZnO narowires were synthesized by adopting hydrothermal synthesis, and ZnO/activated carbon composite material was then prepared by compounding activated carbon powder and nano-ZnO. The research on the sensing performance of such composite to ethanol gas shows that the sensor with ZnO/activated carbon composite presents good response and recovery characteristics to ethanol gas at 150 ℃. Its sensitivity to the ethanol with concentration of 5 × 10-6 can be up to 4.75, and will increase positively with the increase of ethanol concentration, which presents a reproducibility and stability.

mining safety  /  zinc oxide  /  activated carbon  /  gas sensor  /  sensitive material  /  semiconductor  /  gas-sensing material
陈勇康, 宋亚霖, 王运城, 邱榕源, 尚浩然, 林骅, 陈享享. ZnO/活性炭复合材料的制备及其传感器对低浓度乙醇的气敏性能. 矿冶工程杂志, 2023 , 43 (3) : 171 -175 . DOI: 10.3969/j.issn.0253-6099.2023.03.038
Yongkang CHEN, Yalin SONG, Yuncheng WANG, Rongyuan QIU, Haoran SHANG, Hua LIN, Xiangxiang CHEN. Sensing Performance of Sensor Prepared with ZnO/Activated Carbon Composite Material in Detection of Low-Concentration Ethanol Gas[J]. Mining and Metallurgical Engineering, 2023 , 43 (3) : 171 -175 . DOI: 10.3969/j.issn.0253-6099.2023.03.038
  • 国家自然科学基金(52004069)
  • 福州大学人才基金(GXRC-20022)
  • 福州大学贵重仪器设备开放测试基金(2021T039)
2023年第43卷第3期
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doi: 10.3969/j.issn.0253-6099.2023.03.038
  • 接收时间:2022-12-05
  • 首发时间:2026-03-05
  • 出版时间:2023-06-01
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出版历史
  • 收稿日期:2022-12-05
基金
国家自然科学基金(52004069)
福州大学人才基金(GXRC-20022)
福州大学贵重仪器设备开放测试基金(2021T039)
作者信息
    1.福州大学 紫金地质与矿业学院,福建 福州 350108
    2.福建省新能源金属绿色提取与高值利用重点实验室,福建 福州 350108

通讯作者:

陈享享(1990—),男,福建莆田人,博士,副研究员(校聘),主要研究方向为检测技术在矿物加工中的应用。
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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