Evidence of fluid evolution of Baoshan Cu−Pb−Zn polymetallic deposit: Constraints from in-situ sulfur isotope and trace element compositions of pyrite

In-situ LA-ICP-MS and S isotopes of pyrite from the Baoshan Cu polymetallic deposit were conducted to investigate the ore-forming process and the enrichment mechanism of elements. Three generations of pyrite (Py I, Py II, and Py III) in the skarn-type ores and pyrite in the carbonate-hosted sulfide ores from central, western, and northern (C_Py, W_Py, and N_Py) mining districts are selected for comparison. Compared with Py I and Py III, the contents of most elements in Py II are apparently higher. The As and Se contents are high within a wide range and are decoupled in the growth band of the C_Py. The highest As, Se, and Pb contents were found in W_Py and N_Py. These results indicate the drastic changes in the temperature and fluid mixing during the mineralization. The occurrence of fluctuation and change in temperature and f(O₂) was triggered by intermittent pulses of magmatic-hydrothermal fluids, mixing with meteoric water, and water−rock interactions. The sulfur isotopes of all species of pyrite indicated the magmatic source. The change in the f(O₂) conditions caused slight differences in the sulfur isotope compositions. Consequently, a metallogenic model was proposed to explain the ore-forming processes.     

A method of constructing an inspiration library driven by user-perceived preference evaluation data for biologically inspired design

Biologically inspired design (BID) is one of the common methods for product design. To solve the problem of inaccurate acquisition of inspirational creatures due to the lack of user perception preference analysis, a data-driven intelligent service model for BID considering user perception needs is proposed based on Kansei engineering. Firstly, by extracting the perceptual features of creatures from the semantic source elements of products through mapping and encodes them, we proposed a data acquisition method based on intuitionistic fuzzy sets considering different customer preference distributions, bridging the gap caused by the asymmetry between designers and users. Secondly, the functional relationship between biometric features and user-perceived attributes is identified and predicted, and a predictive model of biodata considering user preferences is obtained by multiple linear regression analysis. Finally, based on the data clustering and reorganization theory to understand the organization and dynamics of the database, the construction of a BID library was completed, and the design resources in the library were used as analyzed knowledge for designers to plan design activities. Taking the bionic design of a UAV product as an example, a prototype of a computer-aided design service system was developed based on the theory proposed in the article, and the analyzed knowledge was used to improve the efficiency and science of the design, effectively verifying the usefulness of this study for design. To a certain extent, this study addresses the problem of cognitive limitations of designers and cognitive differences between designers and users, promotes the application of bioinspiration in product design, and improves the marketability of design solutions.     

翅果油超临界CO2流体萃取工艺优化及其不同提取方法的比较

对翅果油的超临界CO_2流体萃取工艺条件进行研究。在单因素试验的基础上,以萃取压力、萃取温度、萃取时间和原料粒度为影响因素,以翅果油得率为指标,采用正交试验优化工艺条件。比较了浸出法、超临界CO_2流体萃取法、冷榨法和热榨法4种不同提取方法对翅果油得率和微量活性成分的影响。结果表明:超临界CO_2流体萃取翅果油最优工艺条件为萃取压力30 MPa、萃取温度50℃、萃取时间150 min、原料粒度80目,此条件下翅果油得率为(28. 32±1. 15)%; 4种提取方法中,浸出法的翅果油得率、VE及甾醇含量最高,其次是超临界CO_2流体萃取法,除热榨法的翅果油角鲨烯含量最高外,压榨法的其他指标均最低。     

催化共振光散射法测定空气中痕量甲醛的研究

吖啶橙分子聚集体微粒可在513nm波长处出现最大的共振光散射强度(RLS)。在稀硫酸介质中,甲醛能催化溴酸钾氧化吖啶橙的反应,促使其RLS强度减弱。在最佳实验条件下,甲醛质量浓度ρ在0.020～0.25μg/mL的范围内与△I值呈良好的线性关系,线性回归方程为△I=1113.99ρ+49.23,线性相关系数r为0.9986。本法与国标法进行对照,在置信度等于95%时,用Cochran检验,两种方法间不存在显著性差异,方法操作简单、灵敏度高,用于室内外空气中甲醛测定,结果满意。     

基于三维纳米阵列结构的表面增强拉曼技术研究及其在痕量铀酰离子探测中的应用

表面增强拉曼散射(SERS)是一种新型痕量表征技术，其灵敏度高、样品用量少、特征谱易辨识，尤其适用于铀酰离子等危化品的探测。在过去十几年里, 纳米材料和纳米技术在新兴技术和SERS的应用方面获得了长足发展，将先进的纳米制造技术引入了SERS领域。本文总结了利用光刻、原子层沉积等技术，开发了一系列高质量的三维阵列纳米材料作为SERS基底，并应用于痕量铀酰离子的检测。其中，以Al₂O₃、HfO₂等惰性氧化物包裹修饰的银纳米棒三维阵列作为基底，灵敏度高，稳定性好，根据不同特征的拉曼振动频谱，可识别多个不同种态的铀酰离子，检出限低至nmol/L，具有潜在的实际应用价值。     

针对多种处理痕迹的数字语音取证算法

现有的数字语音取证研究主要集中于对单一的某种操作进行检测，无法对不相关的操作进行判断。针对该问题，提出了一种能够同时检测经过变调、低通滤波、高通滤波和加噪这四种操作的数字语音取证方法。首先，计算语音的归一化梅尔频率倒谱系数（MFCC）统计矩特征；然后通过多个二分类器对特征进行训练，并组合投票得到多分类器；最后使用该多分类器对待测语音进行分类。在TIMIT以及UME语音库上的实验结果表明，归一化MFCC统计矩特征在库内实验中均达到了97%以上的检测率，且在对MP3压缩鲁棒性测试的实验中，检测率仍能保持在96%以上。     

基于桥连接的词典学习方法的语义解析

现阶段的语义解析方法大部分都基于组合语义,这类方法的核心就是词典。词典是词汇的集合,词汇定义了自然语言句子中词语到知识库本体中谓词的映射。语义解析一直面临着词典中词汇覆盖度不够的问题。针对此问题,该文在现有工作的基础上,提出了基于桥连接的词典学习方法,该方法能够在训练中自动引入新的词汇并加以学习,为了进一步提高新学习到的词汇的准确度,该文设计了新的词语—二元谓词的特征模板,并使用基于投票机制的核心词典获取方法。该文在两个公开数据集(WebQuestions和Free917)上进行了对比实验,实验结果表明,该文方法能够学习到新的词汇,提高词汇的覆盖度,进而提升语义解析系统的性能,特别是召回率。     

不同产地菜籽油中微量元素的ICP-MS/MS法测定及统计比较

研究菜籽油中微量元素含量的分布规律及其与菜籽油产地之间的关系。采用电感耦合等离子体串联质谱(ICP-MS/MS)法测定了15种菜籽油中Be、Ti、Cr、Mn、Fe、Co、Ni、Cu、Zn、As、Se、Sr、Cd、Ba、Hg、Pb 16种微量元素的含量,将测定数据进行标准化处理后利用SPSS主成分分析与聚类分析对微量元素的分布进行评价。结果表明:菜籽油经煤油稀释后直接进样分析,在MS/MS模式下,分别选择O_2和NH_3/He为反应气,利用CRC技术消除了质谱干扰; Fe、Mn、Cu、Zn、Sr、Ba在0～500μg/kg范围内相关系数大于等于0. 999 8,其余10种分析元素在0～50. 0μg/kg范围内相关系数大于等于0. 999 6,16种元素的检出限为1. 05～20. 30 ng/kg;主成分分析结果显示累积方差的84. 487%来自前6个主成分,菜籽油的特征元素为Mn、Fe、Cu、Sr,聚类分析将15种菜籽油聚为3类,实现了不同产地菜籽油的初步判别。通过微量元素的主成分分析与聚类分析,可对菜籽油进行有效的产地溯源。     

黔西南某中高硫煤脱硫过程中微量元素的分配特性研究

为探究黔西南某中高硫煤中微量元素的富集程度,以及在脱硫降灰提质利用过程中微量元素的分配特性,通过摇床对其脱硫降灰进行了试验研究,并在合适的分选工艺条件下,考察了原煤、精煤和尾煤产品中微量元素的分配特征。通过“一粗一精一扫”重选,可获得产率32.83%、硫分0.96%、灰分11.16%的合格精煤产品。分选产品微量元素分析结果表明,该分选工艺对Cu、Sb、As、Co、Mo、TI、Ni等有害元素具有较好的脱除效果,并能一定程度富集锂和稀土等有价微量元素。通过此工艺可分别回收28.73%和47.37%的锂至精煤和中煤产品,精煤煤灰中Li₂O理论含量达5 258 μg/g,具有综合回收利用价值。研究结果可为该类中高硫煤炭资源的清洁与综合利用提供参考。