D-HMBC versus LR-HSQMBC: Which experiment provides theoretically and experimentally the best results?

The long-range heteronuclear single quantum multiple bond correlation (LR-HSQMBC) experiment is the experiment of choice for visualizing heteronuclear long-range coupling interactions ⁿJ_CH across 4–6-bonds and is experimentally superior to the decoupled heteronuclear multiple-bond correlation (D-HMBC) experiment. Yet, the exact reasons have not been fully understood and established. On the basis of our recent investigation of the nonrefocused variants LR-HSQC and HMBC, we have extended a J_HH′-dedicated investigation to the D-HMBC and LR-HSQMBC experiments. Unlike the nonrefocused variants, the influence of homonuclear couplings J_HH′ on the intensity of long-range ⁿJ_CH cross-peaks is not easily predictable and may be summarized as follows: (a) irrespective of the magnitude and number of J_HH′ interactions long-range ⁿJ_CH cross-peaks are more intense in D-HMBC spectra as long as the evolution delay Δ is not too large, because in contrast to LR-HSQMBC no J_HH′-caused intensity zeroes will occur. (b) If J_HH′ is small and Δ large, the intensity of cross peaks in D-HMBC spectra may be weakened or may even vanish at Δ = (0.25+0.5k)/J_HH′, whereas for the LR-HSQMBC this unwanted effect occurs at Δ = k + 0.5/J_HH′. Consequently, when Δ is adjusted to visualize weak ⁿJ_CH long-range correlations, our findings corroborate that there are potentially more cross-peaks expected to show up in a LR-HSQMBC spectrum compared with a D-HMBC spectrum. This has been indeed noticed experimentally, even though the intensity of a many long-range ⁿJ_CH cross-peaks may still be higher in the spectra of the D-HMBC experiment correspondingly adjusted for detecting weak ⁿJ_CH correlations.     

Structure–property relationship in high urethane density polyurethanes

The structure–property relationship of polyurethane (PU) homopolymers synthesized by the stoichiometric combination of 1,6‐hexamethylene diisocyanate (HDI) and low‐molecular‐weight glycols with different structure is investigated by the analysis of PU elastic modulus obtained by means of high‐resolution peak force atomic force microscopy. Different experimental techniques are employed to understand the role of block structure influence on hydrogen bonding distribution, crystallinity, thermal transitions, and crystal packaging within the PU. The results show that glycols with bulky side groups have more impediments to self‐assemble into hydrogen‐bonded and packed macromolecular structures. © 2015 Wiley Periodicals, Inc. J. Polym. Sci., Part B: Polym. Phys. 2016 , 54, 739–746     

吸收光度法中的峰位移

该文从吸收干扰、单色光性质及被测物吸收特性改变三个方面探讨了吸收光度法中吸收峰位移的原因、影响及其消除与应用。重点论述了吸收干扰中的相长与相消干扰引起的吸收峰位移规律。该规律为研究试剂与溶剂中杂质、样品中共存物、反应试剂与产物等的吸收干扰引起被测吸收峰位置、高度及形状的变化提供了理论依据。运用被测物标准溶液的正、负吸光度吸收曲线提供的信息与吸收峰位移规律研究吸收光度法应用的新方法,为定量分析、消除共存物干扰、化学反应及试剂选择性等研究提供了新手段。作为峰的相长与相消干扰引起的测定峰位移规律也适用于检测峰的其它仪器分析。     

Characterization of warfarin unusual peak profiles on oligoproline chiral high performance liquid chromatography columns

Unusual peak profiles of warfarin were characterized on two oligoproline chiral stationary phases (CSPs). The pattern of 1st peak (S(−)) broadening and the 2nd peak (R(+)) compression was observed under mobile phase of hexane (0.1% TFA)/2-propanol (IPA) on a triproline CSP 1, and with other alcohol modifier such as ethanol, 1-propanol, 1-butanol, 2-butanol, and tert-butanol as well. Through analyzing system peak of additives, the unusual peak profile was interpreted by perturbation of TFA additive system peak. The unusual peak profile was also found in enantioseparation of coumachlor and on a covalently bonded doubly tethered diproline CSP 2. The pattern of 1st peak (S(−)) broadening and the 2nd peak (R(+)) compression can change to pattern of 1st peak compression and the 2nd peak broadening from 15 to 50 °C. Chiral separation of warfarin created nonlinear van’t Hoff plots on CSP. No peak broadening/compression were observed with methyl tertiary butyl ether or ethyl acetate as the modifier. The peak shapes of the two warfarin enantiomers can thus be tuned by varying alcohol concentration and column temperature. High separation factor and resolution may be carried out to tune the peak profiles into Langmuir/anti-Langmuir band-shape composition. Using none hydrogen donor modifier may avoid interference of the TFA system peak.     

Peak‐fitting of high resolution ToF‐SIMS spectra: a preliminary study

Peak‐fitting has been performed on a series of peaks obtained by time‐of‐flight secondary ion mass spectrometry (ToF‐SIMS) analysis in order to assess whether information may be obtained from this procedure on the samples' characteristics. A variety of samples were examined including a range of treatments for aluminium leading to different surface roughnesses, polymer films with a range of polydispersities, molecular weight (MW) and thicknesses as well as aluminium samples with adsorbed adhesion promoters on the surface. Variation of peak‐fitting was assessed by varying the peak intensity, full width at half maximum (FWHM) and peak asymmetry. Although further studies are needed it is possible to say that the peak width increases with roughness whereas peak asymmetry seems to be related to oxide thickness. Polymer characteristics do not seem to influence the width whereas the peak asymmetry increases either versus MW or polydispersity. A possible assumption is that the peak asymmetry relates to the ion formation processes. Additional work with varying polymer films thickness indicates that both FWHM and peak asymmetry may be related to sample charging and this could be used for assessment of film thicknesses. Finally, peak‐fitting was used to obtain a more reliable peak area when peaks are too close in mass to use current methods. Copyright © 2009 John Wiley & Sons, Ltd.     

基于最小二乘支持向量机的色谱指纹图谱预测银杏叶总抗氧化活性

在色谱图基线校正和色谱峰匹配基础上,提出以40个银杏叶提取物HPLC指纹图谱的色谱图轮廓作为输入,相应的提取物总抗氧化活性作为输出,建立最小二乘支持向量机回归模型,并对包含10个样本的测试集进行了预测.最小二乘支持向量机的测试集预测误差均方根(RMSEP)为0.0230,预测结果优于目前普遍使用的误差反向传播神经网络和偏最小二乘回归.与采用色谱峰面积为分析变量的模型预测结果比较表明:采用消除干扰后的色谱图全谱轮廓保留了样本的全部信息,预测结果更好     

基于双指标分析法和聚类分析法的鸡骨草红外指纹图谱比较研究

利用双指标分析法和系统聚类分析法,鉴别了不同年限不同产地鸡骨草的红外指纹图谱。结果显示,(1)应用双指标分析法时,只做13点平滑就可以将6种鸡骨草样品完全分开,可以在六维空间中考察不同中药样品之间的相互关系,并可用数量将这些关系精确地表示出来;应用系统聚类分析时只做13点平滑的初始数据聚类效果较差,但13点平滑后再做一阶导数处理,聚类效果很明显,6类鸡骨草样品可以完全分开。(2)应用双指标分析法,在样本量大时,共有峰率变异峰率统计较麻烦,但精确度较高;聚类分析法,精确度相对较低,但是运作比较方便。(3)运用以上两种方法均表明,同一产地栽培鸡骨草化学成分较相似,同一产地不同年限栽培鸡骨草化学成分差异较大。     

重庆主城区两江溶解有机质的荧光光谱特征

应用荧光发射、三维荧光光谱(EEM)技术研究了重庆主城区长江、嘉陵江水体中溶解有机质(DOM)的荧光光谱特征在2008年4～8月的变化规律,以"5·12"汶川地震及唐家山堰塞湖事件与7和8月丰水期为出发点,结合两江各采样段面的pH,DO,DOC,TOC与EEM指纹特征、荧光指数(f_(450/500))等参数,探讨了两江DOM的组成、分布及其变化规律,着重阐述了EEM中类腐殖酸、类富里酸和类蛋白质3类荧光峰的环境生态行为特征及其影响。实验结果显示两江水体中DOM以类富里酸和类腐殖酸为主,嘉陵江类蛋白质较强,两江水体汇合后,各荧光峰都有所减弱;5月、6月和丰水期两江DOM的类蛋白显著增强,多为陆源所致,丰水期两江各荧光峰在汇合后明显降低。     

Deep learning for energy markets

Deep Learning (DL) is combined with extreme value theory (EVT) to predict peak loads observed in energy grids. Forecasting energy loads and prices is challenging due to sharp peaks and troughs that arise due to supply and demand fluctuations from intraday system constraints. We propose a deep temporal extreme value model to capture these effects, which predicts the tail behavior of load spikes. Deep long‐short‐term memory architectures with rectified linear unit activation functions capture trends and temporal dependencies, while EVT captures highly volatile load spikes above a prespecified threshold. To illustrate our methodology, we develop forecasting models for hourly price and demand from the PJM interconnection. The goal is to show that DL‐EVT outperforms traditional methods, both in‐ and out‐of‐sample, by capturing the observed nonlinearities in prices and demand spikes. Finally, we conclude with directions for future research.