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微波等离子体炬分子同位素光谱法用于溶液中硼同位素定量分析

贾晨阳1,2, 林根仙3,4, 金 伟1,2, 于丙文1,2   

  1. 1. 浙江大学控制科学与工程学院 2. 浙江大学湖州研究院分析仪器与智能系统研究中心 3. 苏州热工研究院有限公司  4. 国家核电厂安全及可靠性工程技术研究中心
  • 收稿日期:2026-05-17 修回日期:2026-06-01 出版日期:2026-09-09 发布日期:2026-09-09
  • 通讯作者: 于丙文 E-mail:yubingwen007@126.com
  • 基金资助:
    湖州市科技计划项目(批准号: 2025GY018)资助.

Quantitative Analysis of Boron Isotopes in Solution by Microwave Plasma Torch Molecular Isotopic Spectroscopy

JIA Chenyang1,2, LIN Genxian3,4, JIN Wei1,2*, YU Bingwen1,2*   

  1. 1. College of Control Science and Engineering 2. Research Center for Analytical Instruments and Intelligent Systems, Huzhou Institute of Zhejiang University 3. Suzhou Thermal Power Research Institute Co., Ltd. 4. National Engineering Research Center for Nuclear Power Plant Safety and Reliability
  • Received:2026-05-17 Revised:2026-06-01 Online:2026-09-09 Published:2026-09-09
  • Contact: BINGWEN YU E-mail:yubingwen007@126.com
  • Supported by:
    Supported by the Science and Technology Program of Huzhou, China(No.2025GY018)

摘要: 针对溶液体系中硼同位素比例的快速分析需求,本研究建立了一种微波等离子体炬分子同位素光谱法(Microwave Plasma Torch Molecular Isotopic Spectrometry,MPT-MIS),用于溶液中硼同位素比例的定量分析。该方法利用微波等离子体炬(MPT)激发BO2分子发射光谱,并结合偏最小二乘回归(PLSR)从全谱形状信息中提取硼同位素丰度信息,实现了硼同位素比例的快速测定。通过使用石英内管有效降低了硼的记忆效应,并基于“留一法”交互验证(Leave-one-out Cross Validation,LOOCV)系统优化了光谱预处理方式和波长区间。在最优预处理组合(一阶导数 + 面积归一化 + 25点平滑)和最优波长区间(464–589 nm)下,仅需2个潜变量(latent variables, LVs)即可充分提取与同位素丰度相关的光谱信息。在验证集的三个样品上模型预测11B/10B的相对偏差(Relative bias)最大为2.04%,预测精密度为1-2%(2σ)。此外,实验还发现BO2分子光谱强度与总硼浓度在5–3000 μg·mL-1范围内呈良好线性关系(R2> 0.999),表明该方法具备同步测定总硼浓度的潜力,为核工业等场景中硼同位素比和总硼浓度的在线同步分析提供了一种操作简便、成本较低的新方案。

关键词: 硼同位素, BO2 分子光谱, 微波等离子体炬, 偏最小二乘回归

Abstract: To meet the demand for rapid analysis of boron isotope ratios in solution systems, this study established a Microwave Plasma Torch Molecular Isotopic Spectrometry (MPT-MIS) method for the quantitative determination of boron isotope ratios in solutions. The method employs a microwave plasma torch (MPT) to excite the emission spectrum of BO2 molecules and combines partial least squares regression (PLSR) to extract boron isotopic abundance information from full-spectral shape information, enabling rapid measurement of boron isotope ratios. The memory effect of boron was effectively reduced by using a quartz inner tube, and the spectral preprocessing methods as well as the wavelength range were systematically optimized based on leave-one-out cross validation (LOOCV). Under the optimal preprocessing combination (first derivative + area normalization + 25-point smoothing) and the optimal wavelength range (464–589 nm), only two latent variables (LVs) were needed to sufficiently extract the spectral information related to isotope abundance. On the three samples in the validation set, the maximum relative bias of the model-predicted 11B/10B ratio was 2.04%, and the prediction precision was 1–2% (2σ). Furthermore, it was found experimentally that the BO2 molecular spectral intensity exhibited a good linear relationship with total boron concentration in the range of 5–3000 μg·mL?1 (R2 > 0.999), indicating the potential of this method for simultaneous determination of total boron concentration. This provides a simple and low-cost new approach for the online simultaneous analysis of boron isotope ratios and total boron concentration in scenarios such as the nuclear industry.

Key words: Boron isotope, BO2 molecular spectroscopy, Microwave plasma torch, Partial least squares regression

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