基于多特征算法选择的太赫兹时域光谱用于水稻种子掺假研究

该文提出了一种基于太赫兹时域光谱的水稻种子模式识别方法。实验以10种不同品牌混合掺假的水稻种子为样本,基于采集的样本太赫兹时域光谱数据,通过建立Relief、随机森林（RF）、支持向量机递归特征消除（SVM-RFE）和最大相关最小冗余（mRMR）模型分别对样本光谱波长进行特征选择,最后设计分类器对4种特征选择方法处理后的样本进行分类识别。结果表明,基于布谷鸟算法（CS）优化的极限学习机模型对经RF特征选择算法提取后的样本光谱数据具有最佳识别效果,其准确率可达100%,实验对于法庭科学领域内种子的掺假鉴定具有一定的借鉴意义。     

保健食品中非法添加物检测的前处理及分析方法研究进展

保健食品作为一种特定的食品种类,能调节人体的机能,适用于特定人群食用.但是在保健食品中添加化学药物和非法添加物的现象也层出不穷,因此迫切需要建立多指标的有效检测方法,为保健食品的质量安全提供技术保障.高效的前处理方法和高灵敏的分析方法为检测非法添加物提供了有效的技术手段.综述了近三年来溶剂萃取和固相萃取样品前处理方法,以及高效液相色谱、实时直接分析质谱、表面增强拉曼光谱及色谱-质谱串联技术等分析方法在微量及痕量非法添加物检测中的应用,为进一步研究建立高效简便的前处理方法和检测新方法、新技术提供理论参考.     

Detection and analysis of paraffin oil adulteration in coconut oil using fiber optic long period grating sensor

A fiber optic sensing system for the detection of adulteration of coconut oil by paraffin oil is experimentally demonstrated. The sensing mechanism is based on the sensitive dependence of the resonance peaks of a long period grating (LPG) on the changes of the refractive index of the environmental medium surrounding the cladding surface of the grating. The wavelength shift of the attenuation bands of the LPG was measured with the sensor immersed in a mixture of paraffin oil and pure coconut oil in different proportions. Detection limit of adulteration was found to be 3% for coconut oil-paraffin oil binary mixture.     

RANDOM PENALTIES AND RENEWABLE RESOURCES: A MECHANISM TO REACH OPTIMAL LANDINGS IN FISHERIES

Abstract Recent literature considers illegal landings a moral hazard problem that arises because individual landings are unobservable. The literature proposes incentive schemes to solve the information problem. However, most of the proposed schemes raise huge information requirements and social budget balance is not secured. In this paper, we suggest a random penalty mechanism that reduces the information requirements and secures budget balance in the case of a given number of licensed vessels. In the random penalty mechanism, aggregate landings are measured through stock sizes and the natural growth function. If aggregate landings are below optimal landings, each fisherman receives a subsidy. If aggregate catches are above optimal landings, the mechanism works such that either the fisherman is randomly selected and pays a fine or the fisherman is not selected and receives a subsidy. The fine and subsidy can be designed such that budget balance is secured. Provided risk aversion is sufficiently large and the fine is high enough, the random penalty mechanism will generate optimal individual landings. The budget balance combined with risk aversion drives the result for this advanced tax/subsidy system that does not exhaust the resource rents. The budget balance creates interdependence between fishermen that secure optimality.     

Pr_(1.8)M_(0.2)CoO_4催化剂的性质及对NO+CO催化性能研究

采用分解无定形柠檬酸和乙二胺四乙酸聚合体法,合成了Pr_(1.8)M_(0.2)CoO_4(M = K,Mg,Ca,Sr,Ba)催化材料,以CO + NO为探针反应,运用XRD、BET、TPR等手段进行表征.结果表明:碱(土)金属掺杂后的Pr_(1.8)M_(0.2)CoO_4复合氧化物在950℃焙烧8 h均能形成类钙钛矿型结构;掺入不同碱(土)金属的PrMCoO_4复合氧化物在粒子大小、比表面积、B位正三价离子、氧空穴、催化活性等方面存在差异,其中掺入碱土金属Ba的化合物Pr_(1.8)M_(0.2)CoO_4表现出较好的催化性能.     

Use of diffusion‐ordered NMR spectroscopy and HPLC–UV–SPE–NMR to identify undeclared synthetic drugs in medicines illegally sold as phytotherapies

The informal (and/or illegal) e‐commerce of pharmaceutical formulations causes problems that governmental health agencies find hard to control, one of which concerns formulas sold as natural products. The purpose of this work was to explore the advantages and limitations of DOSY and HPLC–UV–SPE–NMR. These techniques were used to identify the components of a formula illegally marketed in Brazil as an herbal medicine possessing anti‐inflammatory and analgesic properties. DOSY was able to detect the major components present at higher concentrations. Complete characterization was achieved using HPLC–UV–SPE–NMR, and 1D and 2D NMR analyses enabled the identification of known synthetic drugs. These were ranitidine and a mixture of orphenadrine citrate, piroxicam, and dexamethasone, which are co‐formulated in a remedy called Rheumazim that is used to relieve severe pain, but it is prohibited in Brazil because of a lack of sufficient pharmacokinetic and pharmacodynamic information. Copyright © 2013 John Wiley & Sons, Ltd.     

Electrospray ionization mass spectrometry and partial least squares discriminant analysis applied to the quality control of olive oil

Direct infusion electrospray ionization mass spectrometry in the positive ion mode [ESI(+)‐MS] is used to obtain fingerprints of aqueous–methanolic extracts of two types of olive oils, extra virgin (EV) and ordinary (OR), as well as of samples of EV olive oil adulterated by the addition of OR olive oil and other edible oils: corn (CO), sunflower (SF), soybean (SO) and canola (CA). The MS data is treated by the partial least squares discriminant analysis (PLS‐DA) protocol aiming at discriminating the above‐mentioned classes formed by the genuine olive oils, EV (1) and OR (2), as well as the EV adulterated samples, i.e. EV/SO (3), EV/CO (4), EV/SF (5), EV/CA (6) and EV/OR (7). The PLS‐DA model employed is built with 190 and 70 samples for the training and test sets, respectively. For all classes (1–7), EV and OR olive oils as well as the adulterated samples (in a proportion varying from 0.5 to 20.0% w/w) are properly classified. The developed methodology required no ions identification and demonstrated to be fast, as each measurement lasted about 3 min including the extraction step and MS analysis, and reliable, because high sensitivities (rate of true positives) and specificities (rate of true negatives) were achieved. Finally, it can be envisaged that this approach has potential to be applied in quality control of EV olive oils. Copyright © 2013 John Wiley & Sons, Ltd.     

Characterization of Gasoline by 1H Nuclear Magnetic Resonance and Chemometrics

Automotive fuel adulteration is an old and significant problem. One common type of fuel adulteration is the addition of diesel to gasoline. Unsupervised models were developed through hierarchical cluster and principal component analysis models. Supervised models through partial least square discriminant analysis using ¹H nuclear magnetic resonance spectra as the input were used to classify samples as adulterated or unadulterated. Quantitative models were developed using partial least squares to determine the gasoline and diesel concentrations in the samples. This set contained samples composed of pure gasoline and anhydrous ethanol reproducing commercial gasoline and other samples treated with diesel. Hierarchical cluster and principal component analysis did not distinguish between adulterated and unadulterated samples except for the most adulterated materials. However, partial least square discriminant analysis classified 100% of the samples correctly. The partial least square algorithm provided excellent regression models for the gasoline and diesel content. The determination coefficient was 0.9920 for both models, whereas the root mean square error of cross-validation and root mean square error of prediction for the diesel model were 2.32 and 1.42%, respectively, and 2.40 and 1.38% for the gasoline model.     

超高效液相色谱-三重四极杆质谱法测定食品中34种非法添加减肥类化合物

建立了超高效液相色谱-三重四极杆质谱测定食品(含保健食品)中34种减肥类非法添加化合物的方法。采用Waters CORTECS T3色谱柱(100 mm×2.1 mm,2.7μm),以0.1%(v/v)甲酸水溶液-含0.1%(v/v)甲酸的乙腈溶液为流动相,梯度洗脱,在电喷雾离子源、正离子或负离子模式下以多反应监测(MRM)方式检测。西布曲明等29种化合物在0.5~10μg/L范围内、氯噻嗪等5种化合物在2.5~50μg/L范围内均呈良好的线性关系,相关系数(r)均大于0.99;西布曲明等29种化合物在5、10和20μg/kg添加水平下的平均加标回收率为49.2%~136.2%,相对标准偏差(RSD)为0.7%~15.0%(n=6),氯噻嗪等5种化合物在25、50和100μg/kg添加水平下的平均加标回收率为51.5%~130.9%,RSD为0.8%~14.0%(n=6);西布曲明等29种化合物的检出限为5μg/kg,定量限为10μg/kg,氯噻嗪等5种化合物的检出限为25μg/kg,定量限为50μg/kg。本方法已应用于实际样品的测定,共检出了12种化合物,有效打击了非法添加行为。     

车载便携式智能桩考训练装置的设计与实现

针对目前部队大型车辆及地方B照以上大中型车辆桩考无人值守训练的实际需求,设计了一种基于接近式开关采集违规信号、单片机控制及语音告警组成的车载便携式智能桩考训练装置;阐述了系统硬件与软件的设计实现;给出了违规信号获取与编码、违规位置自动识别和语音告警等关键技术的具体解决方法;并对系统核心电路控制单元进行验证,输入编码20 H时,软件自动识别后输出6个告警控制脉冲,并判决为右侧违规,与编码设计完全拟合;由此表明该装置设计合理,满足部队训练需求,为部队执行多样化任务提供有力保障。