Packed-Fiber Solid Phase-Extraction Coupled with HPLC-MS/MS for Rapid Determination of Lipid Oxidative Damage Biomarker 8-Iso-Prostaglandin F2α in Urine

The 8-iso-prostaglandin F_2α (8-iso-PGF_2α) biomarker is used as the gold standard for tracing lipid oxidative stress in vivo. The analysis of urinary 8-iso-PGF_2α is challenging when dealing with trace amounts of 8-iso-PGF_2α and the complexity of urine matrixes. A packed-fiber solid-phase extraction (PFSPE)–coupled with HPLC-MS/MS–method, based on polystyrene (PS)-electrospun nanofibers, was developed for the specific determination of 8-iso-PGF_2α in urine and compared with other newly developed LC-MS/MS methods. The method, which simultaneously processed 12 samples within 5 min on a self-made semi-automatic array solid-phase extraction processor, was the first to introduce PS-electrospun nanofibers as an adsorbent for the extraction of 8-iso-PGF_2α and was successfully applied to real urine samples. After optimizing the PFSPE conditions, good linearity in the range of 0.05–5 ng/mL with R² > 0.9996 and a satisfactory limit of detection of 0.015 ng/mL were obtained, with good intraday and interday precision (RSD < 10%) and recoveries of 95.3–103.8%. This feasible method is expected to be used for the batch quantitative analysis of urinary 8-iso-PGF_2α.     

A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation

In order to overcome the spectral interference of the conventional Fourier transform in the International Electrotechnical Commission framework, this paper introduces a Bregman-split-based compressive sensing (BSCS) method to estimate the Taylor–Fourier coefficients in a multi-frequency dynamic phasor model. Considering the DDC component estimation, this paper transforms the phasor problem into a compressive sensing model based on the regularity and sparsity of the dynamic harmonic signal distribution. It then derives an optimized hybrid regularization algorithm with the Bregman split method to reconstruct the dynamic phasor estimation. The accuracy of the model was verified by using the cross entropy to measure the distribution differences of values. Composite tests derived from the dynamic phasor test conditions were then used to verify the potentialities of the BSCS method. Simulation results show that the algorithm can alleviate the impact of dynamic signals on phasor estimation and significantly improve the estimation accuracy, which provides a theoretical basis for P-class phasor measurement units (PMUs).     

利用激光诱导击穿光谱原位在线检测褐煤及煤烟

褐煤是我国现阶段的主要用煤,但因为其较低的煤化程度,使用时会产生污染环境的二氧化碳和黑灰,而且烟尘中含有的金属离子会危害人体健康,所以开展对褐煤烟尘的研究非常有意义.而激光诱导击穿光谱技术(L IBS)具有快速、多元素同时分析的特点,适合用于煤烟的原位在线探测.实验制备了含铅浓度不同的三种褐煤样本(O,H,L),其中O...     

Harnessing Protein-Ligand Interaction Fingerprints to Predict New Scaffolds of RIPK1 Inhibitors

Necroptosis has emerged as an exciting target in oncological, inflammatory, neurodegenerative, and autoimmune diseases, in addition to acute ischemic injuries. It is known to play a role in innate immune response, as well as in antiviral cellular response. Here we devised a concerted in silico and experimental framework to identify novel RIPK1 inhibitors, a key necroptosis factor. We propose the first in silico model for the prediction of new RIPK1 inhibitor scaffolds by combining docking and machine learning methodologies. Through the data analysis of patterns in docking results, we derived two rules, where rule #1 consisted of a four-residue signature filter, and rule #2 consisted of a six-residue similarity filter based on docking calculations. These were used in consensus with a machine learning QSAR model from data collated from ChEMBL, the literature, in patents, and from PubChem data. The models allowed for good prediction of actives of >90, 92, and 96.4% precision, respectively. As a proof-of-concept, we selected 50 compounds from the ChemBridge database, using a consensus of both molecular docking and machine learning methods, and tested them in a phenotypic necroptosis assay and a biochemical RIPK1 inhibition assay. A total of 7 of the 47 tested compounds demonstrated around 20–25% inhibition of RIPK1’s kinase activity but, more importantly, these compounds were discovered to occupy new areas of chemical space. Although no strong actives were found, they could be candidates for further optimization, particularly because they have new scaffolds. In conclusion, this screening method may prove valuable for future screening efforts as it allows for the exploration of new areas of the chemical space in a very fast and inexpensive manner, therefore providing efficient starting points amenable to further hit-optimization campaigns.     

太空育种射干的X射线荧光及X射线衍射分析和表征

联用X射线荧光光谱(XRF)和粉末X射线衍射(PXRD)方法,对我国独创的第4代太空诱变育种射干中多种元素种类和含量及晶态物质进行了研究。结果表明:太空组射干K元素含量比地面组、对照品分别提高了1.03和0.31倍,Mg元素分别提高了1.44和0.06倍,Ca,Mn和Fe元素含量比地面组分别提高了0.95,0.30和0.29倍,Al元素比地面组、对照组分别降低了38.5%和85.5%,并在射干中鉴别出一水草酸钙(CaC2O4.H2O)晶体,晶体含量是地面组<太空组<对照品。从而可得出结论:太空射干中人体必需的矿质元素比地面组都更接近或优于对照品。文章研究结果和方法对筛选品质优良的太空药材籽种和推广种植太空药材以及建立中药材质量评价标准,有积极的作用和重要意义。     

基于独立组分分析和BP神经网络的可见/近红外光谱蜂蜜品牌的鉴别

提出了一种基于独立组分分析的可见/近红外光谱透射技术快速鉴别蜂蜜品牌的新方法。用独立组分分析方法获取蜂蜜的可见/近红外光谱载荷图,将载荷图中相关性最大的波段,作为人工神经网络的输入建立蜂蜜品牌的鉴别模型。建立了一个三层的BP神经网络模型,各层传递函数采用S型(Sigmoid)函数,并设置网络输入层节点数为9,隐含层节点数为10,输出层节点数为3。每个品牌25个样本,3个品牌共75个样本,用来建立BP神经网络模型,剩余的3个品牌各５个样本用于预测,鉴别准确率达100%,模型的拟合残差为8.245 365×10-5。说明基于独立组分分析的方法具有很好的鉴别效果,为蜂蜜的品牌鉴别提供了一种新方法。     

第4代太空防风的X射线荧光研究

利用我国发射的神舟三号飞船搭载防风种子,回收后在地面上筛选繁育,定向培育成新品种获得优良的种质资源。本文用X射线荧光光谱法（XRF）对枝叶和产量等方面占优势的第4代太空及地面组防风药用部分的元素含量进行测定和对比分析。两组样品的元素种类基本相同, 但多种矿质元素含量是太空组＞地面组。尤其是太空防风中与性味功效和归经相关的Zn,Fe,Mn和Cu含量比地面组分别提高到4.39,1.23,0.84和0.90倍。太空防风矿质元素指标明显优化。XRF方法可以从整体上对中药材的元素进行测定分析和研究。利用太空搭载防风种子可以筛选出多种元素优化的防风药材新品种。     

消癌平诱导人肺腺癌(ASTC-a-1)细胞内caspase-3活化的荧光光谱分析

采用CCK-8技术检测发现传统中药消癌平（XAP）对人肺腺癌（ASTC-a-1）细胞的增殖活性具有显著的抑制作用。利用共聚焦扫描荧光显微成像、荧光共振能量转移（FRET）及其受体光漂白技术证实了基于FRET技术构建的SCAT3质粒在ASTC-a-1细胞中的稳定表达。将消癌平加入细胞培养液中培育细胞,并在不同的时间检测活细胞内SCAT3的荧光发射光谱,从而监测细胞中caspase-3的活化状态。实验结果表明：(1)消癌平可以有效抑制人肺腺癌（ASTC-a-1）细胞的增殖活性并诱导细胞的死亡,消癌平对细胞的抑制作用具有剂量依赖性。(2)消癌平处理细胞72 h后,细胞内大量的SCAT3被切割,表明细胞内caspase-3的活化水平明显升高。(3)将含消癌平的细胞培养液与细胞共同培养24 h,然后采用没有消癌平的细胞培养液培养细胞48和72 h后,细胞内SCAT3的光谱没有明显改变,表明消癌平作用细胞24 h内没有显著激活细胞内的caspase-3。     

基于激光吸收光谱乙炔在线监测技术的研究

乙炔作为有机化工产品原料,广泛应用于化学工业中,但易燃易爆,在储存和工业生产中有必要对其进行实时在线监测.可调谐半导体激光吸收光谱(TDLAS)技术具有高选择性、高灵敏、快速响应等特点,在痕量气体检测中得到了广泛的应用.文章研究了乙炔气体在近红外波段的吸收线分布特征,详细地讨论了基于近红外可调谐二极管激光吸收光谱技术的乙炔在线监测系统设计方案;建立了实验测量系统,研究了信号检测方法和浓度反演算法,对长度10 cm的样品池和已知标准浓度乙炔气体配制的不同浓度乙炔气体进行检测,检测限可以达到1.46 cm3·m-3;进行了动态检测实验,测量结果具有较好的稳定性和可靠性.分析表明系统设计方案可行,由此发展的乙炔在线监测系统可用于乙炔储存、运输和使用过程中泄漏报警.     

CO2,O2,CF4液体微滴喷射靶激光等离子体光源光谱

基于软X射线辐射计量和极紫外投影光刻(EUVL)应用,研制了一台使用纳秒激光器的液体微滴喷射靶激光等离子体(LPP)极紫外光源。该光源由一个可连续控温的不锈钢电磁喷气阀门、YAG激光器和能同步控制喷气阀门和激光器的脉冲发生器组成。使用液氮作致冷剂,控温范围77～473 K。对于足够高的背景气压和低的阀门温度,当气体经过阀门脉冲式地喷入真空靶室内时,气体经过气-液相变碎裂成大量的液体微滴形成液体微滴喷射靶。首先,依据非相对论量子力学理论,使用原子光谱分析常用的Cowan程序,计算了O2,CO2和CF4等几种液体在1011～1012W.cm-2激光功率密度下可能相应产生的O4 ,O5 ,O6 ,O7 ,F5 ,F6 和F7 离子的电偶极辐射跃迁波长和跃迁概率。其次,在激光焦点功率密度为8×1011W.cm-2时,测量了CO2,O2,CF4液体微滴喷射靶在6～20 nm波段的光谱。理论计算结果与实验结果相比较,得出了所测量谱线的电偶极辐射跃迁波长和跃迁概率以及跃迁能级所应归属的组态和光谱项。