高级搜索

留言板

尊敬的读者、作者、审稿人, 关于本刊的投稿、审稿、编辑和出版的任何问题, 您可以本页添加留言。我们将尽快给您答复。谢谢您的支持!

姓名
邮箱
手机号码
标题
留言内容
验证码

面向液体中金属元素高灵敏快速检测的超声雾化辉光放电探测器设计与性能评估

丁宇 许迦南 庞茂原 王雨行 李锦怡 于伟业 贺义华 李相初 谭强 刘鑫鑫 周旺平

丁宇, 许迦南, 庞茂原, 王雨行, 李锦怡, 于伟业, 贺义华, 李相初, 谭强, 刘鑫鑫, 周旺平. 面向液体中金属元素高灵敏快速检测的超声雾化辉光放电探测器设计与性能评估[J]. 电子与信息学报. doi: 10.11999/JEIT260436
引用本文: 丁宇, 许迦南, 庞茂原, 王雨行, 李锦怡, 于伟业, 贺义华, 李相初, 谭强, 刘鑫鑫, 周旺平. 面向液体中金属元素高灵敏快速检测的超声雾化辉光放电探测器设计与性能评估[J]. 电子与信息学报. doi: 10.11999/JEIT260436
DING Yu, XU Jianan, PANG Maoyuan, WANG Yuhang, LI Jinyi, YU Weiye, HE Yihua, LI Xiangchu, TAN Qiang, LIU Xinxin, ZHOU Wangping. Design and Performance Evaluation of Ultrasonic Nebulization Glow Discharge Detector for High-sensitivity and Rapid Detection of Metal Elements in Liquids[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260436
Citation: DING Yu, XU Jianan, PANG Maoyuan, WANG Yuhang, LI Jinyi, YU Weiye, HE Yihua, LI Xiangchu, TAN Qiang, LIU Xinxin, ZHOU Wangping. Design and Performance Evaluation of Ultrasonic Nebulization Glow Discharge Detector for High-sensitivity and Rapid Detection of Metal Elements in Liquids[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT260436

面向液体中金属元素高灵敏快速检测的超声雾化辉光放电探测器设计与性能评估

doi: 10.11999/JEIT260436 cstr: 32379.14.JEIT260436
基金项目: 国家自然科学基金(62105160,62203225),江苏省自然科学基金(BK20220443),教育部地球物理勘探装备重点实验室(吉林大学,GEIOF 20240402),青蓝工程项目
详细信息
    作者简介:

    丁宇:男,副教授,研究方向为激光光谱、测控系统、物质成分分析以及装备计量,邮箱 dingyu@nuist.edu.cn

    许迦南:男,硕士,研究方向为微等离子体技术及成分分析

    庞茂原:男,硕士生,研究方向为高重频激光诱导击穿光谱

    王雨行:男,博士生,研究方向为自吸收免疫、自由定标激光诱导击穿光谱

    李锦怡:女,硕士生,研究方向为远程激光诱导击穿光谱

    于伟业:男,硕士生,研究方向为激光器及光谱仪上位机设计开发

    贺义华:男,硕士,研究方向为激光诱导击穿光谱、小样本学习

    李相初:男,硕士,研究方向为拉曼光谱

    谭强:男,硕士,研究方向为激光诱导击穿光谱、大气颗粒物检测

    刘鑫鑫:女,副教授,研究方向为网络化系统控制、滑模控制、智能控制及工业应用,邮箱 liuxinxin@nuist.edu.cn

    周旺平:男,教授,研究方向为装备自动化、智能控制技术

    通讯作者:

    刘鑫鑫 liuxinxin@nuist.edu.cn

  • 中图分类号: TN247; TM93

Design and Performance Evaluation of Ultrasonic Nebulization Glow Discharge Detector for High-sensitivity and Rapid Detection of Metal Elements in Liquids

Funds: The National Natural Science Foundation of China (62105160, 62203225), The Natural Science Foundation of Jiangsu Province (BK20220443), The Key Laboratory of Geophysical Exploration Equipment of Ministry of Education (Jilin University, GEIOF 20240402), The Qing Lan Project
  • 摘要: 水体中的金属元素主要来源于人为活动与自然过程,其组成与含量直接影响着生态环境与生物健康。针对水体中Cu、Na、K等金属元素的现场实时快速检测问题,本研究设计并开发了一种基于超声雾化辉光放电(UNGD)的高灵敏快速探测器。该探测器的超声雾化单元设计带有空间约束转接口的雾化导流腔室与可快速拆卸的雾化片固定结构,采用路径较短的气路,以达到液体样品的快速雾化和高效输送;同时,为了实现激发能量的集中,等离子体激发单元的钨针电极对采用180°对向共轴放置方式,构成点对点式的放电结构,对样品进行激发。本研究系统评估并确定了UNGD探测器的最优参数条件:放电电流38 mA、氩气流速0.5 L/min、电极间距1 mm、采样距离22 mm。在最优参数条件下,Cu I 324.7 nm、Na I 589.0 nm和K I 766.5 nm的检出限分别为141.29 μg/L、9.54 μg/L和12.05 μg/L,相对标准偏差分别为6.8%、6.1%和5.5%。此外,UNGD探测器对样品中共存的高浓度Ca、Mg、Zn、Fe、Co、Ni等离子具有良好的抗干扰能力。上述结果表明,本研究提出的高敏快速微型探测器可在无需额外样品预处理和驱动泵设备的前提下,实现快速进样与定量分析,为水体中Cu、Na、K等金属元素的现场实时快速监测提供了一种可靠且具有应用前景的技术支持,并有望进一步拓展至其他金属元素的检测。
  • 图  1  (a) UNGD探测器示意图;(b) 微孔雾化片;(c) 雾化驱动电路;(d) 不同状态下放电区域的变化照片

    图  2  样品溶液在200~925 nm范围内的发射光谱

    图  3  放电电流对UNGD探测器检测信号的影响

    图  4  氩气流速对UNGD探测器检测信号的影响

    图  5  电极间距对UNGD探测器检测信号的影响

    图  6  采样距离对UNGD探测器检测信号的影响

    图  7  外来共存离子对Cu(a)、Na(b)和K(c)元素回收

    表  1  UNGD探测器测定样品中Cu、Na、K的测定结果

    元素线性范围 (mg/L)回归方程检出限 (3σ,n=11, μg/L)精密度 (n=11,%)
    Cu0.53~95.11y=606.62x+1979.42141.296.8
    Na0.03~6.54y=9370.04x+1646.959.546.1
    K0.02~9.72y=4658.26x+500.9312.055.5
    下载: 导出CSV

    表  2  UNGD探测器对水质标样的测定结果

    元素CRMs标准值 (mg/L)测量值 (mg/L)回收率(%)
    CuGBW(E)08039710.00±0.28.93±0.9389.3
    GBW(E)085689100.00±197.49±1.8797.5
    NaGSB07-3185-20141.09±0.041.01±0.1192.7
    BWB2506-20162.00±0.21.89±0.1794.5
    KGSB07-3185-20140.74±0.030.86±0.07109.2
    BWB2506-20162.00±0.22.13±0.31106.5
    下载: 导出CSV

    表  3  UNGD探测器与其他水样检测技术的LOD对比

    技术方法LOD (μg/L)参考文献
    CuNaK
    UNGD探测器141.299.5412.05本研究工作
    LCGD360--[29]
    PN-APGD14010-[27]
    LCGD-20200[28]
    LAGD-7.576.21[30]
    下载: 导出CSV
  • [1] MUKHERJEE S, BHATTACHARYYA S, GHOSH K, et al. Sensory development for heavy metal detection: A review on translation from conventional analysis to field-portable sensor[J]. Trends in Food Science & Technology, 2021, 109: 674–689. doi: 10.1016/j.tifs.2021.01.062.
    [2] FU Zhiyou, WU Fengchang, CHEN Lulu, et al. Copper and zinc, but not other priority toxic metals, pose risks to native aquatic species in a large urban lake in Eastern China[J]. Environmental Pollution, 2016, 219: 1069–1076. doi: 10.1016/j.envpol.2016.09.007.
    [3] BROWN A L, FLUITT M B, and ECELBARGER C M. Mechanistic target of rapamycin: Integrating growth factor and nutrient signaling in the collecting duct[J]. American Journal of Physiology-Renal Physiology, 2018, 315(3): F413–F416. doi: 10.1152/ajprenal.00170.2018.
    [4] 翟杰, 杨树青, 刘月, 等. 微生物菌肥施用下微咸水灌溉对盐碱土理化性质与细菌群落的影响[J]. 中国环境科学, 2025, 45(12): 6749–6761. doi: 10.19674/j.cnki.issn1000-6923.20251013.003.

    ZHAI Jie, YANG Shuqing, LIU Yue, et al. Effects of irrigation with brackish-water on the physicochemical properties and bacterial community of saline-alkali soils under microbial fertilizer application[J]. China Environmental Science, 2025, 45(12): 6749–6761. doi: 10.19674/j.cnki.issn1000-6923.20251013.003.
    [5] ZHANG Yuehong, LI Xianyue, ŠIMŮNEK J, et al. Quantifying water and salt movement in a soil-plant system of a corn field using HYDRUS (2D/3D) and the stable isotope method[J]. Agricultural Water Management, 2023, 288: 108492. doi: 10.1016/j.agwat.2023.108492.
    [6] PEDRERO SALCEDO F, PÉREZ CUTILLAS P, AZIZ F, et al. Soil salinity prediction using remotely piloted aircraft systems under semi-arid environments irrigated with salty non-conventional water resources[J]. Agronomy, 2022, 12(9): 2022. doi: 10.3390/agronomy12092022.
    [7] 邹亮, 任柯龙, 吴浩, 等. 融合G-DPN与近红外光谱的铝矾土品质参数协同检测方法研究[J]. 电子与信息学报, 2025, 47(10): 3904–3916. doi: 10.11999/JEIT250240.

       ZOU Liang, REN Kelong, WU Hao, et al. A collaborative detection method for bauxite quality parameters based on the fusion of G-DPN and near-infrared spectroscopy[J]. Journal of Electronics & Information Technology, 2025, 47(10): 3904–3916. doi: 10.11999/JEIT250240.
    [8] 赵英飞, 王小龙, 李凯, 等. 关于电感耦合等离子体质谱(ICP-MS)法在科学、技术、产品、应用方面的思考[J]. 中国无机分析化学, 2025, 15(3): 382–388. doi: 10.20236/j.CJIAC.2025.03.009.

    ZHAO Yingfei, WANG Xiaolong, LI Kai, et al. Reflections on ICP-MS in science, technology, engineering and applications[J]. Chinese Journal of Inorganic Analytical Chemistry, 2025, 15(3): 382–388. doi: 10.20236/j.CJIAC.2025.03.009.
    [9] KUKUSAMUDE C, KONGSRI S, TAMKLANG R, et al. Feasibility of matrix-matched material for determining elements in rice flour by SN-ICP-MS and LA-ICP-MS[J]. Foods, 2024, 13(11): 1604. doi: 10.3390/foods13111604.
    [10] VOLCHEK V V, SHEVEN D G, and ABRAMOV P A. HPLC with parallel ESI-MS and ICP-AES detection as a tool for the speciation studies of phosphovanadotungstates[J]. Microchemical Journal, 2024, 207: 111985. doi: 10.1016/j.microc.2024.111985.
    [11] 韩亚, 郭伟, 汪洪. 电感耦合等离子体质谱(ICP-MS)法与氢化物发生-原子吸收光谱(HG-AAS)法测定土壤中硒含量的对比研究[J]. 中国无机分析化学, 2020, 10(3): 28–32. doi: 10.3969/j.issn.2095-1035.2020.03.006.

    HAN Ya, GUO Wei, and WANG Hong. Method comparison for determination of selenium in soil by ICP-MS and HG-AAS[J]. Chinese Journal of Inorganic Analytical Chemistry, 2020, 10(3): 28–32. doi: 10.3969/j.issn.2095-1035.2020.03.006.
    [12] FERREIRA S L C, BEZERRA M A, SANTOS A S, et al. Atomic absorption spectrometry - A multi element technique[J]. TrAC Trends in Analytical Chemistry, 2018, 100: 1–6. doi: 10.1016/j.trac.2017.12.012.
    [13] 李鸿, 蒋越华, 秦玉燕, 等. 原子荧光光谱(AFS)和石墨炉原子吸收光谱(GFAAS)法测定富硒粮食中硒含量[J]. 中国无机分析化学, 2021, 11(3): 89–93. doi: 10.3969/j.issn.2095-1035.2021.03.018.

    LI Hong, JIANG Yuehua, QIN Yuyan, et al. Determination of selenium in selenium-rich grain by AFS and GFAAS[J]. Chinese Journal of Inorganic Analytical Chemistry, 2021, 11(3): 89–93. doi: 10.3969/j.issn.2095-1035.2021.03.018.
    [14] ZOU Zhirong, DENG Yujia, HU Jing, et al. Recent trends in atomic fluorescence spectrometry towards miniaturized instrumentation-A review[J]. Analytica Chimica Acta, 2018, 1019: 25–37. doi: 10.1016/j.aca.2018.01.061.
    [15] 李欣芯, 王义程, 赵王昱斐, 等. 液体样本重金属离子检测微流控传感器与系统[J]. 仪器仪表学报, 2023, 44(6): 86–98. doi: 10.19650/j.cnki.cjsi.J2311295.

    LI Xinxin, WANG Yicheng, ZHAO Wangyufei, et al. Microfluidic sensors and systems for detecting heavy metal ions in liquid samples[J]. Chinese Journal of Scientific Instrument, 2023, 44(6): 86–98. doi: 10.19650/j.cnki.cjsi.J2311295.
    [16] 黄雯静, 汪正. 大气压辉光放电原子发射光谱技术及其在环境检测中的应用[J]. 环境化学, 2025, 44(10): 3748–3760. doi: 10.7524/j.issn.0254-6108.2025071504.

    HUANG Wenjing and WANG Zheng. Atmospheric pressure glow discharge atomic emission spectroscopy and its applications in environmental monitoring[J]. Environmental Chemistry, 2025, 44(10): 3748–3760. doi: 10.7524/j.issn.0254-6108.2025071504.
    [17] MARCUS R K, MANARD B T, and QUARLES C D JR. Liquid sampling-atmospheric pressure glow discharge (LS-APGD) microplasmas for diverse spectrochemical analysis applications[J]. Journal of Analytical Atomic Spectrometry, 2017, 32(4): 704–716. doi: 10.1039/c7ja00008a.
    [18] XU Jianan, DING Yu, TAN Qiang, et al. Development of open-flow atmospheric pressure glow discharge optical emission spectrometry coupled with pneumatic nebulization for direct determination of Cu and Zn[J]. Atomic Spectroscopy, 2025, 46(3): 305–313. doi: 10.46770/as.2025.090.
    [19] 张东阳, 陆子轩, 刘军民, 等. 深度模型的持续学习综述: 理论、方法和应用[J]. 电子与信息学报, 2024, 46(10): 3849–3878. doi: 10.11999/JEIT240095.

       ZHANG Dongyang, LU Zixuan, LIU Junmin, et al. A survey of continual learning with deep networks: Theory, method and application[J]. Journal of Electronics & Information Technology, 2024, 46(10): 3849–3878. doi: 10.11999/JEIT240095.
    [20] 刘壮, 宋祥瑞, 赵斯桓, 等. 进化网络模型: 无先验知识的自适应自监督持续学习[J]. 电子与信息学报, 2024, 46(8): 3256–3266. doi: 10.11999/JEIT240142.

       LIU Zhuang, SONG Xiangrui, ZHAO Sihuan, et al. EvolveNet: Adaptive self-supervised continual learning without prior knowledge[J]. Journal of Electronics & Information Technology, 2024, 46(8): 3256–3266. doi: 10.11999/JEIT240142.
    [21] 刘双, 于永亮, 王建华. 基于微等离子体激发源的小型化原子发射光谱系统研究进展[J]. 分析化学, 2024, 52(10): 1424–1434. doi: 10.19756/j.issn.0253-3820.241141.

    LIU Shuang, YU Yongliang, and WANG Jianhua. Advances in miniaturized optical emission spectrometry system with microplasma as excitation source[J]. Chinese Journal of Analytical Chemistry, 2024, 52(10): 1424–1434. doi: 10.19756/j.issn.0253-3820.241141.
    [22] SWIDERSKI K, WELNA M, GREDA K, et al. Hanging drop cathode-atmospheric pressure glow discharge as a new method of sample introduction for inductively coupled plasma-optical emission spectrometry[J]. Analytical and Bioanalytical Chemistry, 2020, 412(18): 4211–4219. doi: 10.1007/s00216-020-02685-7.
    [23] DONG Junhang, YANG Chun, HE Dong, et al. Performance evaluation of atmospheric pressure glow discharge-optical emission spectrometry for the determination of sodium, lithium, calcium and magnesium using membrane desolvation[J]. Atomic Spectroscopy, 2020, 41(2): 57–63. doi: 10.46770/as.2020.02.002.
    [24] ZHENG Peichao, XIANG Junhao, WANG Jinmei, et al. Baseline correction for solution cathode glow discharge (SCGD) atomic emission spectroscopy (AES) using an iterative shift difference algorithm based on fitting-accuracy[J]. Spectrochimica Acta Part B: Atomic Spectroscopy, 2025, 233: 107291. doi: 10.1016/j.sab.2025.107291.
    [25] ZHANG Yinchenxi, OREJAS J, PISONERO J, et al. Concomitant ion matrix effects in SCGD-OES enhanced with formic acid[J]. Journal of Analytical Atomic Spectrometry, 2024, 39(3): 808–819. doi: 10.1039/d3ja00372h.
    [26] ZHANG Yinchenxi, OREJAS J, FANDIÑO J, et al. Critical evaluation of SCGD-OES analytical performance in the presence of NaCl[J]. Journal of Analytical Atomic Spectrometry, 2022, 37(5): 1150–1160. doi: 10.1039/d1ja00439e.
    [27] MOß K K, REINSBERG K G, and BROEKAERT J A C. Study of a direct current atmospheric pressure glow discharge in helium with wet aerosol sample introduction systems[J]. Journal of Analytical Atomic Spectrometry, 2014, 29(4): 674–680. doi: 10.1039/c3ja50190f.
    [28] YU Jie, ZHANG Xiaomin, LU Quanfang, et al. Liquid cathode glow discharge as an excitation source for the analysis of complex water samples with atomic emission spectrometry[J]. ACS Omega, 2020, 5(31): 19541–19547. doi: 10.1021/acsomega.0c01906.
    [29] YU Jie, YANG Shuxiu, LU Quanfang, et al. Evaluation of liquid cathode glow discharge-atomic emission spectrometry for determination of copper and lead in ores samples[J]. Talanta, 2017, 164: 216–221. doi: 10.1016/j.talanta.2016.11.015.
    [30] YU Jie, WANG Kai, FENG Yan, et al. Sensitive determination of alkali metals by liquid anode glow discharge-atomic emission spectrometry (LAGD-AES)[J]. Analytical Letters, 2025, 58(9): 1549–1563. doi: 10.1080/00032719.2024.2380426.
  • 加载中
图(7) / 表(3)
计量
  • 文章访问数:  11
  • HTML全文浏览量:  2
  • PDF下载量:  0
  • 被引次数: 0
出版历程
  • 收稿日期:  2026-04-09
  • 修回日期:  2026-08-26
  • 录用日期:  2026-08-26
  • 网络出版日期:  2026-09-01

目录

    /

    返回文章
    返回