土壤水分对近红外光谱实时检测土壤全氮的影响研究

利用近红外光谱技术实时预测土壤全氮含量是精细农业的研究热点之一,但是由于土壤水分在近红外波段的吸收系数较高,影响了土壤全氮含量的实时预测精度。使用布鲁克MATRIX_I傅里叶近红外光谱分析仪对不同土壤水分的土壤样本进行了近红外光谱扫描,定性和定量的分析了土壤水分对近红外光谱的影响,并提出了一种消除土壤水分对土壤全氮含量预测影响的方法。近红外光谱扫描结果显示在同一全氮含量水平下,随着土壤水分含量的增加,光谱吸光度呈逐渐上升的趋势,且变化趋势为非线性。通过对1 450和1 940 nm两个水分吸收波段的差分处理,设计了水分吸收指数MAI（moisture absorbance index）,再对土壤按照水分含量梯度进行分类,提出了相应的修正系数。修正后的6个土壤全氮特征波段处(940,1 050,1 100,1 200,1 300和1 550 nm)的土壤吸光度值作为建模自变量,使用BP神经网络建立了土壤全氮预测模型,模型的R_C,R_V,RMSEC,RMSEP和RPD分别达到了0.86,0.81,0.06,0.05和2.75;与原始吸光度所建模型相比较模型精度得到了显著提高。实验结果表明本方法可以有效地消除土壤水分对近红外光谱检测土壤全氮含量预测的影响,为土壤全氮含量实时预测提供了理论和技术支持。     

Enhancement of coping through blurring

When problem situations are imprecise, people use mental processes closer to coping than to exact, logical-deductive reasoning. We sketch new ways of explicating the process of coping. This leads to a broader definition of complexity than is generally used in computer science. We present at the essence of coping a normative model for shifting and changing focus of attention. To cope is to transform a complex situation into blurred representations that are simpler and less worrisome. The process of “thinking of” such shifts in problem-representation is also improved when the level of specificity and precision in the focus of attention varies.     

Bottom-up Solution Synthesis of Graphene Nanoribbons with Precisely Engineered Nanopores

The incorporation of nanopores into graphene nanostructures has been demonstrated as an efficient tool in tuning their band gaps and electronic structures. However, precisely embedding the uniform nanopores into graphene nanoribbons (GNRs) at the atomic level remains underdeveloped especially for in-solution synthesis due to the lack of efficient synthetic strategies. Herein we report the first case of solution-synthesized porous GNR ( pGNR ) with a fully conjugated backbone via the efficient Scholl reaction of tailor-made polyphenylene precursor ( P1 ) bearing pre-installed hexagonal nanopores. The resultant pGNR features periodic subnanometer pores with a uniform diameter of 0.6 nm and an adjacent-pores-distance of 1.7 nm. To solidify our design strategy, two porous model compounds ( 1 a , 1 b ) containing the same pore size as the shortcuts of pGNR , are successfully synthesized. The chemical structure and photophysical properties of pGNR are investigated by various spectroscopic analyses. Notably, the embedded periodic nanopores largely reduce the π-conjugation degree and alleviate the inter-ribbon π–π interactions, compared to the nonporous GNRs with similar widths, affording pGNR with a notably enlarged band gap and enhanced liquid-phase processability.     

Highly Efficient Circularly Polarized Luminescence from Chiral Au13 Clusters Stabilized by Enantiopure Monodentate NHC Ligands

Chiral Au nanoclusters have promising application prospects in chiral sensing, asymmetric catalysis, and chiroptics. However, enantiopure superatomic homogold clusters with crystallographic structures emitting bright circularly polarized luminescence (CPL) remain challenging. In this study, we designed chiral N-heterocyclic carbenes (NHCs), and for the first time enantioselectively synthesized a pair of monovalent cationic superatomic Au₁₃ clusters. This new enantiomeric pair of clusters has a quasi-C₂ symmetric core and exhibited CPL with an unprecedent solution-state quantum yield (QY) of 61 % among those of the atomically precise Au nanoclusters. DFT calculations provided insights into the circular dichroism behavior, and revealed the origin of CPL from superatomic Au clusters. This work opens a new avenue for developing novel homochiral nanoclusters using chiral NHC ligands and provides fundamental understanding of the origin of the chiroptics of metal clusters.     

Platinum-group element concentrations in BCR-723: a quantitative review of published analyses

BCR-723 is the only environmental certified reference material for platinum-group elements (PGEs) Pt, Pd and Rh. It has been an integral component of quality control/quality assurance procedures in environmental laboratories measuring PGEs, since 2001. Here, we present an extensive quantitative review of the published PGEs measured in BCR-723, since its introduction. A statistical examination of concentrations, measurement precision and accuracy for 25 studies is presented. Measurement typically starts with an aqua regia digestion, followed by some form of pre-concentration or separation procedure, and quantitation by ICP-MS. Use of a sample mass below the recommended value of 100 mg has been shown to produce biased results for acid-based digestions or with laser ablation. Platinum is the most precisely and accurately measured PGE in BCR-723, followed by Rh, and finally by Pd. Literature precision data for all autocatalyst PGEs did not differ significantly (α = 0.05) from those obtained by the original laboratories used to certify BCR-723. Measurement accuracies for the literature tabulated PGE data did not differ significantly from zero, indicating an overall lack of directional bias. These results should be encouraging to the analytical community, but further advancements, especially for Pd quantification are required.     

Finite element modelling of cold drawing for high-precision tubes

Cold tube drawing is a metal forming process that allows manufacturers to produce high-precision tubes. The dimensions of the tube are reduced by pulling it through a conical converging die with or without inner tool. In this study, finite element modelling has been used to give a better understanding of the process.This paper presents a model that predicts the final dimensions of the tube with very high accuracy. It is validated thanks to experimental tests. Moreover, five studies are performed with this model, such as investigating the influence of the die angle on the drawing force or the influence of relative thickness on tube deformation.     

各高速摄影仪跟踪测量数据时间一致性检验方法及准确分析

提出了各高速摄影测量仪跟踪测量数据时间一致性检验方法,并经实战任务数据处理分析,证明该方法行之有效.它不仅解决了跟踪设备时间一致性问题,同时也提高了卫星运载工具在起飞段的漂移量数据处理准确.     

药品近红外光谱通用性定量模型评价参数的选择

为寻找药品近红外通用性定量模型在建立过程中用于确立最优模型的关键评价参数组合,收集整理了目前各种商品化化学计量学软件及文献中的13个常用于评价近红外定量模型的统计学参数,结合人用药品注册技术要求国际协调会对于药品定量分析方法验证基本要求,对92个药品近红外通用性定量分析模型的这些参数进行了计算和分析。通过对各个参数之间相互关系的研究,确定了适合于药品近红外通用性定量分析模型评价的参数组合,并统计出了这些参数的数值范围：用于模型准确性评价的关键参数为交叉验证均方根误差/预测均方根误差、平均相对偏差和相对分析误差;大部分交叉验证均方根误差/预测均方根误差结果在3%以内,其中交叉验证均方根误差在数值上与平均绝对偏差相当,大部分相对分析误差值大于2,而平均相对偏差的数值与所建模型的类型(剂型、样品的包装形式)和待测成分含量的分布有关。模型线性评价关键参数为决定系数;大部分模型的决定系数在80%～100%之间。模型耐用性关键评价参数为预测均方根误差与交叉验证均方根误差的比值,大部分模型该参数在1.5以内。精密度评价关键参数为重复测定结果的标准差;该参数对于规范近红外的操作,以及考核模型能否在不同仪器间传递具有重要的意义,但目前药品近红外通用性定量模型对于分析精密度的关注较少,无法估计出具体数值范围。该研究不仅为药品近红外通用性模型的建立者和使用者提供了评价模型优劣的依据,也为完善药品近红外光谱通用性定量分析模型的参数评价体系提供了基础数据。     

近红外光谱技术在土壤养分分析中的研究进展及应用前景

精准农业是近年来国际上农业科学研究的热点领域,是现代信息技术和传统农业紧密结合的产物。近红外光谱技术(NIRS)作为一种无损、实时、准确的分析手段,在土壤学领域的应用逐渐得到了人们的重视,是实现精准农业的有效手段之一。对其目前在土壤学领域的应用进行了介绍和分析,认为NIRS在土壤学领域的发展方向应该是田间信息实时采集技术,即在田间条件下利用便携式NIRS分析仪对土壤养分和农作物苗情进行实时分析和处理,另外NIRS还可以与空间遥感技术相结合,宏观掌握农作物所需营养及其长势信息,从根本上改变我国粗放型农业现状。