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Quantitative analysis of uranium in electrorecovery salt of pyroprocessing using laser-induced breakdown spectroscopy 被引量:4
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作者 Seul-Ki HAN Se-Hwan PARK Seong-Kyu AHN 《Plasma Science and Technology》 SCIE EI CAS CSCD 2021年第5期96-103,共8页
The amounts of nuclear materials in the Li Cl-KCl salt in pyroprocessing have to be analyzed to prevent the diversion of the nuclear material.An alternative method to the chemical analysis has been pursued,and laser-i... The amounts of nuclear materials in the Li Cl-KCl salt in pyroprocessing have to be analyzed to prevent the diversion of the nuclear material.An alternative method to the chemical analysis has been pursued,and laser-induced breakdown spectroscopy(LIBS)is one candidate.In the present work,an in situ and quantitative analysis method of electro-recovery(ER)salt was proposed and demonstrated by using LIBS combined with dipstick sampling.Two types of simulated salt samples were prepared:ER salt sample and salt obtained from the dipstick sampling,and pulsed neodymium-doped yttrium aluminum garnet(Nd:YAG)laser with a wavelength of 532 nm was focused on the salt to generate plasma.The plasma emission was measured by using an Echelle spectrometer with a resolution of 0.01 nm in conjunction with an Intensified Charge-Coupled Detector camera.The U and other rare earth peaks in the spectra were identified.The best Limit of Detection and Root Mean Square Error of Calibration of U were 38 ppm and 0.0203 wt%,respectively.Our work shows that the U in the pyroprocessing ER salt can be monitored with LIBS. 展开更多
关键词 LIBS URANIUM LOD rmsec
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Infrared Spectroscopy-Based Chemometric Analysis for Lard Differentiation in Meat Samples
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作者 Muhammad Aadil Siddiqui M.H.Md Khir +3 位作者 Zaka Ullah Muath Al Hasan Abdul Saboor Saeed Ahmed Magsi 《Computers, Materials & Continua》 SCIE EI 2023年第5期2859-2871,共13页
One of the most pressing concerns for the consumer market is the detection of adulteration in meat products due to their preciousness.The rapid and accurate identification mechanism for lard adulteration in meat produ... One of the most pressing concerns for the consumer market is the detection of adulteration in meat products due to their preciousness.The rapid and accurate identification mechanism for lard adulteration in meat products is highly necessary,for developing a mechanism trusted by consumers and that can be used to make a definitive diagnosis.Fourier Transform Infrared Spectroscopy(FTIR)is used in this work to identify lard adulteration in cow,lamb,and chicken samples.A simplified extraction method was implied to obtain the lipids from pure and adulterated meat.Adulterated samples were obtained by mixing lard with chicken,lamb,and beef with different concentrations(10%–50%v/v).Principal component analysis(PCA)and partial least square(PLS)were used to develop a calibration model at 800–3500 cm^(−1).Three-dimension PCA was successfully used by dividing the spectrum in three regions to classify lard meat adulteration in chicken,lamb,and beef samples.The corresponding FTIR peaks for the lard have been observed at 1159.6,1743.4,2853.1,and 2922.5 cm−1,which differentiate chicken,lamb,and beef samples.The wavenumbers offer the highest determination coefficient R2 value of 0.846 and lowest root mean square error of calibration(RMSEC)and root mean square error prediction(RMSEP)with an accuracy of 84.6%.Even the tiniest fat adulteration up to 10%can be reliably discovered using this methodology. 展开更多
关键词 Fourier transform infrared spectroscopy LARD HALAL PCA PLS rmsec RMSEP
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近红外光谱法量化检测辣椒成熟度 被引量:1
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作者 黄正午 秦丹 +3 位作者 张竹青 赵绚花 欧立军 张志旭 《实验室研究与探索》 CAS 北大核心 2023年第9期40-42,共3页
为了快速准确地判断辣椒成熟度,用近红外光谱仪研究量化检测辣椒的成熟度。该研究利用近红外技术对34个辣椒品种的成熟度进行光谱分析,并将所得的数据与辣椒组分测定值进行关联。结果表明:所得辣椒素、蛋白质、维生素C、纤维素、总酸5... 为了快速准确地判断辣椒成熟度,用近红外光谱仪研究量化检测辣椒的成熟度。该研究利用近红外技术对34个辣椒品种的成熟度进行光谱分析,并将所得的数据与辣椒组分测定值进行关联。结果表明:所得辣椒素、蛋白质、维生素C、纤维素、总酸5种辣椒组分近红外模型的相关系数r依次为0.7760、0.9028、0.2745、0.8056、0.8481,校正标准偏差(校正集的预测均方差)RMSEC依次为0.116、0.137、38.5、5.16、0.469;辣椒的蛋白质含量近红外模型的相关性最高,其RMSEC为0.137,比其余4种组分模型更准确。该模型可以高效检测辣椒成熟度,为合理安排辣椒采收期提供依据。 展开更多
关键词 近红外 辣椒 成熟度 品种 校正标准偏差
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近红外光谱在聚氨酯原料检测中的应用 被引量:4
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作者 李淑杰 周青 +2 位作者 张丽丽 刘海蓉 喻建明 《聚氨酯工业》 北大核心 2016年第2期42-46,共5页
利用偏最小二乘法(PLS)建立了定量分析预测模型,通过标准值与预测值之间的相关系数和校正均方差评价模型,开发了近红外技术测试聚氨酯原料中NCO含量、羟值、酸值、水分以及EO含量相关指标的方法。通过实验表明,采用近红外光谱检测节省... 利用偏最小二乘法(PLS)建立了定量分析预测模型,通过标准值与预测值之间的相关系数和校正均方差评价模型,开发了近红外技术测试聚氨酯原料中NCO含量、羟值、酸值、水分以及EO含量相关指标的方法。通过实验表明,采用近红外光谱检测节省了测试时间,提高了测试效率,而且还证明了控制测试温度及建模用样品分类的重要性。对聚氨酯的生产和研究具有重要意义。 展开更多
关键词 近红外 聚氨酯 相关系数 校正均方差 分析预测模型
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青蒿浓缩过程在线近红外快速检测模型的建立 被引量:12
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作者 徐芳芳 冯双双 +4 位作者 李雪珂 吴建雄 毕宇安 王振中 萧伟 《中草药》 CAS CSCD 北大核心 2016年第10期1690-1695,共6页
目的建立青蒿单效浓缩过程中近红外在线快速检测模型,并讨论吸光度的变化对其模型建立的影响。方法在线收集9批浓缩液样本,偏最小二乘(PLS)法建立定量校正模型,并用此模型对1批样品进行预测。结果总酸和固含量PLS模型参数如下:决定... 目的建立青蒿单效浓缩过程中近红外在线快速检测模型,并讨论吸光度的变化对其模型建立的影响。方法在线收集9批浓缩液样本,偏最小二乘(PLS)法建立定量校正模型,并用此模型对1批样品进行预测。结果总酸和固含量PLS模型参数如下:决定系数(R2)分别为0.9679和0.9623,校正集均方根误差(RMSEC)分别为0.7835和0.9488,交叉验证集均方根误差(RMSECV)分别为0.8258和0.9780。结论青蒿浓缩液样品吸光度范围为0-2.0,该光谱建立的总酸和固含量的PLS模型的预测相对偏差(RSEP)值均在10%以内,能够满足青蒿生产过程中质量要求,说明当吸光度范围为0-2.0时,通过增加样品数和运用化学计量学方法可消除吸光度太高(即透过率太低)对青蒿近红外模型建立的影响。 展开更多
关键词 青蒿 单效浓缩过程 近红外 在线快速检测 吸光度 偏最小二乘法 定量校正模型 总酸 固含量 决定系数 校正集均方根误差 交叉验证集均方根误差 预测相对偏差 化学计量学 透过率
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