Radioisotope Science and Technology Division, 6146Oak Ridge National Laboratory, Oak Ridge, TN, USA.
Appl Spectrosc. 2022 Aug;76(8):877-886. doi: 10.1177/00037028211070323. Epub 2022 Mar 24.
To enable the deployment of molten salt reactor technology, the development of off-gas treatment systems and advanced monitoring tools capable of operating with high temperatures and radiation fields while delivering near real-time information is necessary. This study aims to fulfill this requirement and proposes laser-induced breakdown spectroscopy (LIBS) for monitoring molten salt aerosol streams. A sheath gas measuring method was developed to protect optical elements from aerosol particles and to ensure a relatively constant aerosol stream for measurement. An aqueous system was studied to demonstrate the utility of LIBS for monitoring possible fission products in an aerosol stream: Gd, Nd, and Sm up to 2000 parts per million (ppm). A calibration model was built using partial least squares (PLS) regression with five, six, and nine latent variables for Gd, Nd, and Sm, respectively. This calibration model successfully estimated the concentrations of three test samples, which were validated with inductively charged plasma optical emission spectroscopy measurements at a 99.9% confidence interval. To enhance these models, a genetic algorithm was used to filter the spectra before entering the PLS model, thereby limiting the spectral features being regressed to those with greater correlations to concentration. This allowed for the number of latent variables used in the PLS models to be reduced to four, three, and three for Gd, Nd, and Sm, respectively. Lastly, the genetic algorithm-filtered PLS models were used to predict the concentrations of the aerosol stream on a real-time dataset and resulted in a 73%, 18%, and 25% improvement in root mean squared error of prediction compared to the original PLS models developed.
为了能够部署熔盐反应堆技术,有必要开发能够在高温和辐射场下运行并提供近乎实时信息的废气处理系统和先进的监测工具。本研究旨在满足这一需求,并提出了用于监测熔盐气溶胶流的激光诱导击穿光谱(LIBS)。开发了一种护套气体测量方法,以保护光学元件免受气溶胶颗粒的影响,并确保相对稳定的气溶胶流进行测量。研究了一种水基系统,以证明 LIBS 用于监测气溶胶流中可能的裂变产物的实用性:Gd、Nd 和 Sm 高达 2000 ppm。使用偏最小二乘(PLS)回归分别建立了五个、六个和九个潜在变量的校准模型来拟合 Gd、Nd 和 Sm。该校准模型成功估计了三个测试样品的浓度,并用电感耦合等离子体发射光谱测量在 99.9%置信区间进行了验证。为了增强这些模型,使用遗传算法对光谱进行滤波,然后再进入 PLS 模型,从而将回归的光谱特征限制为与浓度相关性更大的特征。这使得 PLS 模型中使用的潜在变量的数量分别减少到 4、3 和 3,用于拟合 Gd、Nd 和 Sm。最后,使用遗传算法过滤的 PLS 模型对实时数据集上的气溶胶流浓度进行预测,与原始 PLS 模型相比,预测均方根误差分别提高了 73%、18%和 25%。