食物中重金属的生物可给性和生物有效性的研究方法和应用进展

食品安全问题是直接关系到人民健康的重大民生问题。随着民众生活质量的不断提升,人们对食物质量的关注度越来越高。目前,重金属污染问题是食品安全的一个重要议题。而且,食物中重金属的生物可给性和生物有效性的测定结果已逐渐代替重金属的全量结果进行评价。因此,本文系统介绍了生物可给性和生物有效性的定义及相关关系,综述了生物可给性和生物有效性的多种研究方法的适用性及优缺点,着重总结了饮食习惯和肠道微生物对重金属生物可给性和生物有效性的影响,指出研究者应根据自己的研究目的选择不同的体外消化方法,饮食习惯和肠道微生物均极大地影响着食物中重金属的生物可给性和生物有效性,并在此基础上对食物中重金属的生物可给性和生物有效性研究今后的发展方向进行了展望。     

酿酒酵母与热带假丝酵母融合子多功能性研究

由单亲株灭活法获得的酿酒酵母与热带假丝酵母原生质体融合而成的杂种酵母细胞，在净化味精废水产生单细胞蛋白方面优于双亲菌株，该杂种细胞以无菌液体石腊复盖，存放于４℃冰箱一年之后，测定其菌体的比增长率，对淀粉的利用率，耐热性能，絮凝性能和菌体蛋白的水平，同时与双亲株的同类指标进行比较，发现该杂种酵母细胞仍然综合了双亲的优势，显示出多功能性的特征，为提高废水的净化效率，增加单细胞蛋白的产量，创造了极为有利     

五氯酚对生物膜活细胞含量及分布的影响研究

以废水处理生物膜为研究对象,建立了表征生物膜细胞活性的磷脂测定方法.研究中采用冷冻切片技术,以150μm为一层,考察生物膜不同深度的磷脂浓度.结果表明,当五氯酚浓度为零时,生物膜磷脂含量随深度方向呈近似的正态分布,磷脂含量的绝对值在(1246.2±217.4)～(527.2±95.3)μg/L之间(n=4),峰值出现在...     

利用分子生物等技术确定活性污泥硝化细菌的衰减特征

通过常规耗氧速率（OUR）测定方法、荧光原位杂交技术（FISH）和LIVE/DEAD细胞活性实验,分别研究了序批式反应器（SBR）硝化系统和生物营养物去除（BNR）系统中硝化细菌的好氧衰减特征.实验结果表明,SBR硝化系统中硝化细菌在衰减过程中由细胞死亡引起的衰减分别占细胞总衰减的33%（SRT=10 d）和50%（SRT=40 d）;相应地,由活性降低引起的衰减分别占细胞总衰减的67%（SRT=10 d）和50%（SRT=40 d）.长SRT可能会选择出能够更好地适应饥饿状态的硝化菌种,使细菌能够迅速地做出紧迫反应,从而降低其衰减速率.在BNR系统中（SRT=15 d）,硝化细菌在衰减过程中由细胞死亡引起的衰减约占细胞总衰减的45%,由活性降低引起的衰减约占细胞总衰减的55%.两种系统中硝化细菌由细胞死亡引起的衰减比例不同是由于两种系统中不同微生物组成所致.     

量子点-Cu2+对L02细胞的联合毒性及NAC的防护作用

以人胚肝细胞(L02)为研究对象,通过研究量子点及Cu2+ (低毒浓度)联合对细胞存活率的影响以及细胞形态的变化确认细胞的毒性,结合抗氧化剂NAC的防护效果探讨复合毒性的氧化损伤机理.结果表明,无论单独Cu2+还是量子点-Cu2+处理组,L02细胞的增殖能力均受到抑制,量子点-Cu2+处理组表现出更加显著的抑制效果,相对与单独Cu2+处理组细胞存活率最大下降300%.经过NAC预处理的细胞在形态和存活率上都显著恢复.说明了安全浓度范围的量子点的与Cu2+共存提高了细胞毒性风险,NAC能够防护量子点与Cu2+单独或联合引起的氧化损伤.     

固定化溶藻菌除藻效果研究

为了解固定化溶藻菌对藻类污染水源的治理效果,模拟动态膜生物反应器,将溶藻细菌RZ14菌株固定于膜组件,通过膜自生功能形成溶藻菌生物膜。采集水华水体作为进水水样,对水体中叶绿素a、有机质、氨氮及总磷变化进行跟踪测定。结果表明:结合DMBR工艺,投加溶藻菌RZ14菌株后,叶绿素a含量低于0.05mg/L,去除率接近100%,COD及BOD5去除率分别为50.08%和71.24%,氨氮及总磷去除率分别为70.73%和86.79%。将溶藻菌投加动态膜生物反应器,能快速消除水华现象,改善水质污染状况,对藻类污染水体治理效果显著。     

Variation of phytoplankton community before an induced cyanobacterial （Arthrospira platensis ） bloom

A cyanobacterial (Arthrospira platensis) bloom was induced in situ by nutrient manipulation in an enclosure. The succession of the phytoplankton community and the water chemistry variations before the appearance of bloom, as well as their relationship, were investigated. The cell pigment variations were studied simultaneously. The Pearson’s correlation analysis showed that there was no significant correlation between water chemistry and green algal or cyanobacterial composition, indicating that water chemistry variations were not suitable to be used as indicators for cyanobacterial-bloom early-warning. However, the diversity index of the phytoplankton community decreased sharply before the bloom appeared. Therefore, the dynamics of phytoplankton community was put forward to be an indicator for cyanobacterial-bloom early-warning. In addition, the cell pigment variations represented the changes of community structure, which should be useful for studying the dynamics of phytoplankton community.     

水源水及底泥中细菌总数及其优势种群初探

经测定广州市西村水厂水源水及底泥中的细菌总数分别为2.3×10~3个/mL和2.7×10~6个/g。底泥中的NH_4-N降解菌总数为1.31×10~6个/g,占底泥中细菌总数的48.5％。从水中分离出优势菌41株,经鉴定分别为芽胞杆菌属(Bacillus)、假单胞杆菌属(Pseudomonas)、气单胞杆菌属(Aeromonas)、亚硝化杆菌属(Nitrosococcus)、硝化杆菌属(Nitrobacter)、黄单胞杆菌属(Xanthomonas)、棒状杆菌属(Corynebactertium)、产碱菌属(Alcaligener)等8个属。用亚硝化培养基从底泥中分离了NH_4-N降解优势菌20株,经鉴定,分别为Bacillus、节杆菌属(Arthrobacter)、Pseudomonas、Xanthomonas、Nitrosococcus和Nitrobacter等6个属。     

Cytochrome P450 BM3 of Bacillus megaterium—A possible endosulfan biotransforming gene

Computing chemistry was applied to understand biotransforrnation mechanism of an organochlorine pesticide, endosulfan. The stereo specific metabolic activity of human CYP-2B6 （cytochrome P450） on endosulfan has been well demonstrated. Sequence and structural similarity search revealed that the bacterium Bacillus megaterium encodes CYP-BM3, which is similar to CYP-2B6. The functional similarity was studied at organism level by batch-scale studies and it was proved that B. megaterium could metabolize endosulfan to endosulfan sulfate, as CYP-2B6 does in human system. The gene expression analyses also confirmed the possible role of CYP-BM3 in endosulfan metabolism. Thus, our results show that the protein structure based in-silico approach can help us to understand and identify microbes for remediation strategy development. To the best of our knowledge this is the first report which has extrapolated the bacterial gene for endosulfan biotransformation through in silico prediction approach for metabolic gene identification.     

Quantification of viable bacteria in wastewater treatment plants by using propidium monoazide combined with quantitative PCR (PMA-qPCR)

The detection of viable bacteria in wastewater treatment plants(WWTPs) is very important for public health, as WWTPs are a medium with a high potential for waterborne disease transmission. The aim of this study was to use propidium monoazide(PMA) combined with the quantitative polymerase chain reaction(PMA-qPCR) to selectively detect and quantify viable bacteria cells in full-scale WWTPs in China. PMA was added to the concentrated WWTP samples at a final concentration of 100 μmol/L and the samples were incubated in the dark for 5 min, and then lighted for 4 min prior to DNA extraction and qPCR with specific primers for Escherichia coli and Enterococci, respectively. The results showed that PMA treatment removed more than 99% of DNA from non-viable cells in all the WWTP samples, while matrices in sludge samples markedly reduced the effectiveness of PMA treatment. Compared to qPCR, PMA-qPCR results were similar and highly linearly correlated to those obtained by culture assay, indicating that DNA from non-viable cells present in WWTP samples can be eliminated by PMA treatment, and that PMA-qPCR is a reliable method for detection of viable bacteria in environmental samples. This study demonstrated that PMA-qPCR is a rapid and selective detection method for viable bacteria in WWTP samples, and that WWTPs have an obvious function in removing both viable and non-viable bacteria. The results proved that PMA-qPCR is a promising detection method that has a high potential for application as a complementary method to the standard culture-based method in the future.