Improving the Morphological Parameters of Aluminum Foam for Maximum Sound Absorption Coefficient using Genetic Algorithm

Fabricating of metal foams with desired morphological parameters including pore size, porosity and pore opening is possible now using sintering technology. Thus, if it is possible to determine the morphology of metal foam to absorb sound at a given frequency, and then fabricate it through sintering, it is expected to have optimized metal foams for the best sound absorption. Theoretical sound absorption models such as Lu model describe the relationship between morphological parameters and the sound absorption coefficient. In this study, the Lu model was used to optimize the morphological parameters of Aluminum metal foam for the best sound absorption coefficient. For this purpose, the Lu model was numerically solved using written codes in MATLAB software. After validating the proposed codes with benchmark data, the genetic algorithm (GA) was applied to optimize the affecting morphological parameters on the sound absorption coefficient. The optimization was carried out for the thicknesses of 5 mm to 40 mm at the sound frequency range of 250 Hz–8000 Hz. The optimized parameters ranged from 50% to 95% for porosity, 0.1 mm to 4.5 mm for pore size, and 0.07 mm to 0.6 mm for pore opening size. The result of this study was applied to fabricate the desired Aluminum metal foams for the best sound absorption. The novel approach applied in this study, is expected to be successfully applied in for best sound absorption in desired frequencies.     

Ion mobility spectrometric analysis of vaporous chemical warfare agents by the instrument with corona discharge ionization ammonia dopant ambient temperature operation

The ion mobility behavior of nineteen chemical warfare agents (7 nerve gases, 5 blister agents, 2 lachrymators, 2 blood agents, 3 choking agents) and related compounds including simulants (8 agents) and organic solvents (39) was comparably investigated by the ion mobility spectrometry instrument utilizing weak electric field linear drift tube with corona discharge ionization, ammonia doping, purified inner air drift flow circulation operated at ambient temperature and pressure. Three alkyl methylphosphonofluoridates, tabun, and four organophosphorus simulants gave the intense characteristic positive monomer-derived ion peaks and small dimer-derived ion peaks, and the later ion peaks were increased with the vapor concentrations. VX, RVX and tabun gave both characteristic positive monomer-derived ions and degradation product ions. Nitrogen mustards gave the intense characteristic positive ion peaks, and in addition distinctive negative ion peak appeared from HN3. Mustard gas, lewisite 1, o-chlorobenzylidenemalononitrile and 2-mercaptoethanol gave the characteristic negative ion peaks. Methylphosphonyl difluoride, 2-chloroacetophenone and 1,4-thioxane gave the characteristic ion peaks both in the positive and negative ion mode. 2-Chloroethylethylsulfide and allylisothiocyanate gave weak ion peaks. The marker ion peaks derived from two blood agents and three choking agents were very close to the reactant ion peak in negative ion mode and the respective reduced ion mobility was fluctuated. The reduced ion mobility of the CWA monomer-derived peaks were positively correlated with molecular masses among structurally similar agents such as G-type nerve gases and organophosphorus simulants; V-type nerve gases and nitrogen mustards. The slope values of the calibration plots of the peak heights of the characteristic marker ions versus the vapor concentrations are related to the detection sensitivity, and within chemical warfare agents examined the slope values for sarin, soman, tabun and nitrogen mustards were higher. Some CWA simulants and organic solvents gave the ion peaks eluting at the similar positions of the CWAs, resulting in false positive alarms.     

一种用于红外目标信号接收的稳健匹配滤波算法

针对远距离红外探测目标信号的不确定性问题,提出一种稳健的红外信号匹配滤波新算法.定性分析了红外探测目标的有用信号谱畸变来源,基于巴什瓦定理建立了目标信号的不确定谱模型,并分析了信号谱畸变的相关因子.利用极大极小方法构建稳健匹配滤波的信噪比输出鞍点解,并基于内层极大和外层极小的二层遗传优化算法求解鞍点解和最不利信号频谱,...     

高效毛细管电泳法测定毛白杨雄花芽中的IAA与GA3

建立了高效毛细管电泳测定毛白杨雄花芽中生长素(IAA)和赤霉素(GA3)含量的分析方法。以甲醇为溶剂,超声提取毛白杨雄花芽中的IAA和GA3,经分离纯化后用作供试液。研究了缓冲溶液浓度、pH值、分离电压、分离温度及进样时间等因素对分离检测的影响。确定最佳测定条件为:运行缓冲液为pH 8.0的10 mmol/L硼砂和2.5 mmmol/L SDS溶液,50 mbar压力进样5 s,温度为25℃,运行电压22 kV,检测波长200 nm。最佳条件下,IAA和GA3分别在0.04～0.2 mg/L和0.2～1.00 mg/L的范围内呈良好线性,相关系数分别为0.995 2和0.999 8。2种待测物可在10 min内得到完全分离。该方法简单,分离快速,回收率高,可用于同时检测植物样品中的IAA和GA3。     

Structural identification of mouse fecal metabolites of theaflavin 3,3'-digallate using liquid chromatography tandem mass spectrometry

Black tea consumption has been associated with many health benefits including the prevention of cancer and heart disease. Theaflavins are the major bioactive polyphenols present in black tea. Unfortunately, limited information is available on their biotransformation. In the present study, we investigated the metabolic fate of theaflavin 3,3'-digallate (TFDG), one of the most abundant and bioactive theaflavins, in mouse fecal samples using liquid chromatography/electrospray ionization tandem mass spectrometry by analyzing the MS(n) (n=1-3) spectra. Four metabolites theaflavin, theaflavin 3-gallate, theaflavin 3'-gallate, and gallic acid were identified as the major mouse fecal metabolites of TFDG. Glucuronidated and sulfated, instead of methylated metabolites of theaflavin 3-gallate, theaflavin 3'-gallate, and TFDG were detected and identified as the minor mouse fecal metabolites of TFDG. Our results indicate that TFDG can be degraded in mice. Further studies on the formation of those metabolites in TFDG-treated mice in germ-free conditions are warranted. To our knowledge, this is the first report on the biotransformation of TFDG in mice.     

高效液相色谱-串联质谱法测定葡萄中的吡效隆和赤霉素

采用高效液相色谱-串联质谱法（HPLC-MS/MS）建立了葡萄果实中吡效隆（CPPU）和赤霉素（GA3）两种植物生长调节剂残留量的定性定量分析方法。样品用0.5%甲酸水溶液和乙腈（体积比4:1）混合溶剂提取,经Strata-X固相萃取净化,使用Agilent SB-C18 色谱柱（50mm×2.1mm,1.8μm）,以0.5%甲酸水溶液-乙腈为流动相,流量0.3mL/min,采用电喷雾离子化源（ESI）多反应监测（MRM）模式下HPLC-MS/MS检测。在最佳检测条件下,得到吡效隆和赤霉素在2.0～100.0μg/L检测范围内线性关系良好,相关系数大于0.999;检出限(LOD)分别为0.3μg/L、0.5μg/L,定量限(LOQ)分别为1.0μg/L、2.0μg/L,回收率和精密度均能达到要求,表明该法准确,可用于葡萄中吡效隆和赤霉素残留量测定。     

Polarographic Determination of Glycyrrhizic Acid Based on Double Enhancement Action of Surfactant and Dissolved Oxygen

ABSTRACT

A method for the determination of glycyrrhizic acid (GA) is described based on polarographic current of GA enhanced doubly by both cation surfactant (cetyl trimethyl ammonium bromide (CTMAB)), and dissolved oxygen (including oxygen-derived species). The doubly enhanced current of GA includes two additional currents. One is the increased reduction current of adsorbed GA induced by CTMAB. The other is the catalytic current of GA caused by the dissolved oxygen molecule and its derived species. In 0.1 M NaAc-Hac (pH4.7±0.1) ～ 1x10^?5 M CTMAB supporting electrolyte without deoxygenation, the enhanced current of GA is linearly proportional to its concentration in the range of 4x10^?7 M ～ 4.0x10^?6 M. The detection limit is 1.8x10^?7 M. The double enhanced current of GA in sensitivity is about 15 times higher than its reduction wave in the same acetate buffer solution.     

Determination of acoustic impedances of multi matching layers for narrowband ultrasonic airborne transducers at frequencies <2.5 MHz - Application of a genetic algorithm

The effective ultrasonic energy radiation into the air of piezoelectric transducers requires using multilayer matching systems with accurately selected acoustic impedances and the thickness of particular layers. One major problem of ultrasonic transducers, radiating acoustic energy into air, is to find the proper acoustic impedances of one or more matching layers. This work aims at developing an original solution to the acoustic impedance mismatch between transducer and air. If the acoustic impedance defences between transducer and air be more, then finding best matching layer(s) is harder. Therefore we consider PZT (lead zirconate titanate piezo electric) transducer and air that has huge acoustic impedance deference. The vibration source energy (PZT), which is used to generate the incident wave, consumes a part of the mechanical energy and converts it to an electrical one in theoretical calculation. After calculating matching layers, we consider the energy source as layer to design a transducer. However, this part of the mechanical energy will be neglected during the mathematical work. This approximation is correct only if the transducer is open-circuit. Since the possibilities of choosing material with required acoustic impedance are limited (the counted values cannot always be realized and applied in practice) it is necessary to correct the differences between theoretical values and the possibilities of practical application of given acoustic impedances. Such a correction can be done by manipulating other parameters of matching layers (e.g. by changing their thickness). The efficiency of the energy transmission from the piezoceramic transducer through different layers with different thickness and different attenuation enabling a compensation of non-ideal real values by changing their thickness was computer analyzed (base on genetic algorithm). Firstly, three theoretical solutions were investigated. Namely, Chebyshev, Desilets and Souquet theories. However, the obtained acoustic impedances do not necessarily correspond to a nowadays available material. Consequently, the values of the acoustic impedances are switched to the nearest values in a large material database. The switched values of the acoustic impedances do not generally give efficient transmission coefficients. Therefore, we proposed, in a second step, the use of a genetic algorithm (GA) to select the best acoustic impedances for matching layers from the material database for a narrow band ultrasonic transducer that work at frequency below the 2.5 MHz by considering attenuation. However this bank is rich, the results get better. So the accuracy of the propose method increase by using a lot of materials with exact data for acoustic impedance and their attenuation, especially in high frequency. This yields highly more efficient transmission coefficient. In fact by using increasing number of layer we can increase our chance to find the best sets of materials with valuable both in acoustic impedance and low attenuation. Precisely, the transmission coefficient is almost equal to unity for the all studied cases. Finally the effect of thickness on transmission coefficient is investigated for different layers. The results showed that the transmission coefficient for air media is a function of thickness and sensitive to it even for small variation in thickness. In fact, the sensitivity increases when the differences of acoustic impedances to be high (difference between PZT and air).     

Lipase bound cellulose nanofibrous membrane via Cibacron Blue F3GA affinity ligand

Cellulose (Cell) nanofibrous membranes were prepared by nucleophilic reaction of the cellulose hydroxyl with the triazinyl chloride of Cibacron Blue F3GA (CB) ligand and studied as affinity membranes for lipase enzyme. Cell nanofibrous membranes containing fibers with 200 nm average diameters were prepared by electrospinning of cellulose acetate (CA), followed by alkaline hydrolysis. The CB capacity of the Cell nanofibrous membranes was optimized by lengthening the nucleophilic reaction time and increasing CB concentration and ionic strength. The equilibrium adsorption isotherms of CB on the Cell nanofibrous membranes followed a typical Langmuir monolayer adsorption behavior. At 242 mg CB/g of Cell, the maximum lipase adsorption capacity (q_m) and the dissociation constant (K_d) values were 41.02 mg/g and 0.25 mg/mL, respectively. Optimal lipase adsorption capacity was obtained at pH 4.0, its isoelectric point, with added NaCl on Cell membranes 86 mg CB capacity per g of Cell. A facile lipase loading capacity of 16.21 mg/g of CB–Cell was achieved under moderated conditions and could be optimized to reach at least 150 mg/g. The CB–Cell bound lipase had similar catalytic rate and retained 86.2% activity as in its free form. These findings clearly show that the CB bound Cell nanofibrous membrane is a highly efficient ultra-high specific porous support for lipase enzyme and is potentially versatile for immobilizing other enzymes and as affinity membrane for proteins.     

Frequency selective surface structure optimized by genetic algorithm

Frequency selective surface (FSS) is a two-dimensional periodic structure which has prominent characteristics of bandpass or bandblock when interacting with electromagnetic waves. In this paper, the thickness, the dielectric constant, the element graph and the arrangement periodicity of an FSS medium are investigated by Genetic Algorithm (GA) when an electromagnetic wave is incident on the FSS at a wide angle, and an optimized FSS structure and transmission characteristics are obtained. The results show that the optimized structure has better stability in relation to incident angle of electromagnetic wave and preserves the stability of centre frequency even at an incident angle as large as 80°, thereby laying the foundation for the application of FSS to curved surfaces at wide angles.