Isolation of antimicrobial agent from the marine algae Cystoseira hakodatensis

Cystoseira hakodatensis is an unutilised brown algae belonging to family Sargassaceae. A crude methanol extract from the algae showed inhibitory effects on the growths of Bacillus cereus and Bacillus licheniformis. To isolate the major antimicrobial agent, a sequential active‐guided isolation procedure was applied: liquid–liquid extraction, column chromatography and bio‐autography. A marked antimicrobial agent (active α) was isolated in hydrophobic fraction and was determined to phenolics without carbohydrates and proteins by phytochemical test. Regarding the antimicrobial potential, the isolated active α showed better inhibitory effects against B. cereus and B. licheniformis at 2 and 4 times of lower concentrations (62.5 and 31.3 μg mL^?1) in comparison with epigallocatechin gallate. These results showed that C. hakodatensis is a potential source of antimicrobial agent capable of preventing the growth of the two bacteria.     

冷链条件下气调包装酱卤鸭肉制品货架期预测模型的建立

目的 以气调包装酱卤鸭肉制品为研究对象,在冷链温度范围内建立一套准确、高效的货架期预测模型。方法 利用选择性培养基测定不同温度下产品各微生物数量,确定4~25℃条件下产品优势腐败菌。对乳酸菌数量与感官评定值进行了回归分析确定最小腐败量Ns。分别采用修正的Gompertz方程和平方根方程建立一、二级模型,并通过预测值与实测值对比验证模型的可靠性。结果 确定了4~25℃条件下产品优势腐败菌为乳酸菌,最小腐败量Ns=6.14(lg(cfu /g))。一、二级模型拟合度均良好,三种温度下模型预测值与实际值间的差异均在30％左右,波动幅度在10%以内。结论 实现了对4~25℃内任何时间点产品剩余货架期的预测,为冷链条件下气调包装酱卤鸭肉制品品质的变化提供了理论指导。     

Field observations on the occurrence of new indicators of disinfection efficiency

This paper summarizes studies on the presence of acid-fast and yeast organisms in wastewater and water treatment plants and in surface water. These organisms were found to satisfy three of Bonde's criteria for indicator organisms: presence whenever pathogens are likely to be present; resistance at least equal to that of pathogens; and lack of regrowth in the post-treatment environment. This, plus prior data, indicates that these organisms are at least as acceptable as indicators of disinfection efficiency than the coliform group.     

INHIBITION OF BEER-SPOILAGE LACTIC ACID BACTERIA BY NISIN

149 strains of bacteria, mostly brewery contaminants able to spoil wort or beer, and 12 brewing strains of yeast (8 ale and 4 lager strains) have been screened using a well-test assay for sensitivity to the food preservative, Nisin (E234), Nisin inhibited growth of 92% of the gram-positive strains, predominantly lactic acid bacteria of the genera Lactobacillus and Pediococcus. In contrast, all 32 gram-negative strains tested, except 3 Flavobacter strains, were Nisin-resistant; in addition none of the brewing yeasts showed Nisin-sensitivity. Therefore. Nisin has potential applications in preventing spoilage of worts or beers by lactic acid bacteria.     

患"颤抖病"中华绒螯蟹血细胞中类立克次体寄生的超微结构观察

本文对患“颤抖病”的中华绒螯蟹血细胞内类立克次体生物RLOs的寄生及繁殖特性进行了超微结构研究。正常中华绒螯蟹的血细胞可分为三类；无颗粒细胞、小颗粒细胞、小颗粒细胞和大颗粒细胞，而RLOs只特异性地侵染小颗粒细胞。RLOs以胞吞的方式进入小颗粒细胞，并在细胞内大量增殖形成包涵体，使细胞肿胀、瓦解、坏死，进而释放出RLOs，释放出的RLOs又继续侵染其他靶组织和细胞。     

短程硝化-强化生物除磷序批式反应器处理畜禽养殖废水

畜禽养殖废水有机物水质水量变化大,有机物、氨氮与磷的浓度较高,直接排放会严重危害环境。通过构建厌氧-好氧序批式反应器（SBR）处理预酸化畜禽养殖废水,分析了不同进水负荷条件下反应器对污染物的去除性能和微生物群落结构的变化规律。结果表明：SBR反应器对高负荷进水中TN、PO^3-₄—P和COD的平均去除率可分别达到64.5%、97.5%和94.5%。反应器出现NH⁺₄—N和NO₂—N亚硝酸同时积累的短程硝化现象,这可能与高进水负荷对氨氧化菌和亚硝酸盐氧化菌的活性和种群的影响有关。与乙酸盐相比,以丙酸盐作碳源时污泥的强化生物除磷活性更高。随着进水负荷的增大,聚糖菌（GAOs）的相对丰度明显升高。四联球状菌（Tetrasphaera）为反应器中始终占优势的聚磷菌（PAOs）,对反应器除磷性能有重要贡献。在高有机负荷条件下,SBR内PAOs与GAOs之间不存在明显的底物竞争关系,系统脱氮除磷性能未受影响。     

实数编码量子共生演算法及其在云任务调度中的应用

针对共生演算法收敛慢和易陷入局部最优的问题,结合量子遗传算法理论,提出一种实数编码的量子共生演算法(real-coded quantum symbiotic organisms search,RQSOS)。首先依据三角模糊数提出差异度概念,并依此构造一个以自变量向量的分量和一对概率幅为等位基因的三倍染色体,使一条染色体携带更多信息并增强解的多样性;然后提出一种基于阿基米德螺旋线的探索学习模式,加强对解空间的探索精度;最后使用共生演算法更新差异度值并依据差异度值对种群进行学习和变异操作,促使整个种群快速向最优方向进化且减小了陷入局部最优的概率。利用数值优化问题和云任务调度问题对算法进行验证,仿真结果表明,RQSOS算法在收敛速度和寻优能力上均有明显提升,是一种可行有效的算法。     

近海海洋生物体中多环芳烃的GC-MS分析

建立了气相色谱–质谱–定性离子扫描法测定近海海洋生物体中10种多环芳烃的方法.探讨了扫描方式对方法检出限的影响,以及定性离子强度比的匹配度对定性结果的影响.10种多环芳烃测定方法的检出限为0.10～0.61μg/kg,方法线性关系良好,加标回收率为63.1%～98.1%,相对标准偏差为3.9%～15.2%.此方法适用于海洋生物体中多环芳烃的分析.     

共生生物搜索算法在水声信道均衡中的应用

由于多径效应和频散效应导致水声信道中声信号衰减和失真严重,传统均衡技术不能满足在水声信道中应用的要求,近年来神经网络在均衡技术方面的突出表现受到广泛关注,因此,本文提出一种高效的神经网络训练算法,即基于非线性自回归神经网络的改进共生生物搜索算法(简称NARX-nSOS算法)实现水声信道均衡。该算法在非线性自回归神经网络(Nonlinear Autoregressive Neural Network with Exogenous Inputs, NARX)均衡器的基础上,用共生生物搜索算法(Symbiotic Organisms Search, SOS)来进行优化,并结合反向学习算法(Opposition-Based Learning, OBL)来提高该算法的收敛能力,利用计算机对NARX-nSOS算法的有效性进行了仿真验证,结果证明NARXnSOS算法加快了收敛速度,通信质量得到了显著提高。     

Lipolysis and lipid oxidation caused by Staphylococcus xylosus 135 and Saccharomyces cerevisiae 31 isolated from Suan yu,a traditional Chinese low‐salt fermented fish

The aim of this study was to investigate the lipolysis and lipid oxidation of Staphylococcus xylosus 135 and Saccharomyces cerevisiae 31 in Suan yu. Suan yu were made inoculated with and without two strains at different stages, and model systems of emulsions were also established. Lipolysis and lipid oxidation were evaluated by determining the changes in free fatty acid (FFA) content and composition, conjugated diene (CD) value and thiobarbituric acid reactive substances (TBARS) value. The total FFA of the sample without cultures increased from 476.61 mg/100 g fat to 1413.89 mg/100 g fat after 5 weeks fermentation, while those of samples with cultures declined to 258.98 and 452.89 mg/100 g fat, respectively. On the other hand, CD and TBARS values of samples with inoculation markedly increased. In the model system, higher FFA, CD and TBARS values for the samples added with CFE were observed. This study showed that Staphylococcus xylosus 135 and Saccharomyces cerevisiae 31 made a significant contribution to lipolysis and lipid oxidation during the processing of Suan yu.