Determination of oseltamivir carboxylic acid in human serum by solid phase extraction and high performance liquid chromatography with UV detection

A new straightforward method based on cloud-point extraction (CPE) has been developed, optimized and validated for the determination of venlafaxine in human plasma by reversed-phase high-performance liquid chromatography with fluorescence detection. The non-ionic surfactant Triton X-114 (polyethylene glycol tert-octylphenyl ether) was chosen as the extract solvent. Separation was obtained using a reversed-phase Diamonsil column (C(18), 250mmx4.6mm I.D., 5mum) and a mobile phase composed of acetonitrile-phosphate buffer solution (pH 3.0)-triethylamine (33.5:66.5:0.4). Fluorescence detection was used (lambda(ex) 276nm, lambda(em) 598nm). Maprotiline was used as the internal standard. Under the optimum conditions, the linear range of venlafaxine in human plasma was 10-800ngmL(-1) (r(2)=0.9995). The limit of detection (LOD) was less than 2ngmL(-1) (S/N=3) and the limit of quantification (LOQ) was less than 10ngmL(-1) (S/N=10). The method was successfully applied for the evaluation of pharmacokinetic profiles of venlafaxine capsules in nine healthy volunteers.     

Bioconversion of Hydrocortisone by Cyanobacterium Fischerella ambigua PTCC 1635

Summary The bioconversion of hydrocortisone by a locally isolated strain of cyanobacterium Fischerella ambigua PTCC 1635 was investigated. Fischerella ambigua had not been previously examined for this potential. The fermentation led to production of 11β,17α, 20β, 21-tetrahydroxypregn-4-en-3-one and 11β-hydroxyandrost-4-en-3,17-dione. The metabolites were isolated and purified by chromatographic methods and identified using instrumental analyses.     

Assessment of metals in agricultural soil of surrounding areas of Urmia Lake,northwest Iran: A preliminary ecological risk assessment and source identification

The aim of this study was to quantify the levels of toxic heavy metals and sodium in topsoil of farmlands around the Urmia Lake. A total of 96 topsoil samples were collected, pre-treated, and analyzed for metals using ICP-AES.

Median concentrations of As, Cd, Cu, Ni, Pb, Zn, and Na in sampling sites were 5, 0.26, 30, 40, 13, 84, and 251 mg/kg, respectively. The enrichment factor, geoaccumulation index, and contamination factor of the metals ranked them in the order of: Na > Pb > Cu > As > Cd > Zn > Ni, indicating minor contamination for them except Na and Pb with moderate contamination. Furthermore, the spatial analysis indicated that Cd, Cu, Pb, Ni, and Zn had similar distribution patterns in the north and northwest lands of the lake. Principal component analysis revealed anthropogenic sources for Cd, Cu, Ni, Pb, and Zn in the soil, whereas, sources of As and Na were most likely related to the dust emitting from the dried bed of Urmia Lake and from a cement industry. Potential ecological risk index in 7% of the sampling sites was at serious or considerable pollution level, and Cd and Pb were identified as the main pollutants.     

Building and deploying a cyberinfrastructure for the data-driven design of chemical systems and the exploration of chemical space

Abstract

The use of modern data science has recently emerged as a promising new path to tackling the complex challenges involved in the creation of next-generation chemistry and materials. However, despite the appeal of this potentially transformative development, the chemistry community has yet to incorporate it as a central tool in every-day work. Our research program is designed to enable and advance this emerging research approach. It is centred around the creation of a software ecosystem that brings together physics-based modelling, high-throughput in silico screening and data analytics (i.e. the use of machine learning and informatics for the validation, mining and modelling of chemical data). This cyberinfrastructure is devised to offer a comprehensive set of data science techniques and tools as well as a general-purpose scope to make it as versatile and widely applicable as possible. It also emphasises user-friendliness to make it accessible to the community at large. It thus provides the means for the large-scale exploration of chemical space and for a better understanding of the hidden mechanisms that determine the properties of complex chemical systems. Such insights can dramatically accelerate, streamline and ultimately transform the way chemical research is conducted. Aside from serving as a production-level tool, our cyberinfrastructure is also designed to facilitate and assess methodological innovation. Both the software and method development work are driven by concrete molecular design problems, which also allow us to assess the efficacy of the overall cyberinfrastructure.     

Identification and Characterization of Novel Antimicrobial Peptide from <Emphasis Type="Italic">Hippocampus comes</Emphasis> by In Silico and Experimental Studies

Antimicrobial peptides (AMPs) have attracted attentions as a novel antimicrobial agent because of their unique activity against microbes. In the present study, we described a new, previously unreported AMP, moronecidin-like peptide, from Hippocampus comes and compared its antimicrobial activity with moronecidin from hybrid striped bass. Antibacterial assay indicated that gram-positive bacteria were more sensitive to moronecidin and moronecidin-like compared with gram-negative bacteria. Furthermore, both AMPs were found to exhibit effective antifungal activity. Comparative analysis of the antimicrobial activity revealed that moronecidin-like peptide has higher activity against Acinetobacter baumannii and Staphylococcus epidermidis relative to moronecidin. Both moronecidin-like and moronecidin peptides retained their antibacterial activity in physiological pH and salt concentration. The time-killing assay showed that the AMPs completely killed A. baumannii and S. epidermidis isolates after 1 and 5 h at five- and tenfold above their corresponding MICs, respectively. Anti-biofilm assay demonstrated that peptides were able to inhibit 50% of biofilm formation at sub-MIC of 1/8 MIC. Furthermore, moronecidin-like significantly inhibited biofilm formation more than moronecidin at 1/16 MIC. Collectively, our results revealed that antimicrobial and anti-biofilm activities of moronecidin-like are comparable to moronecidin. In addition, the hemolytic and cytotoxic activities of moronecidin-like were lower than those of moronecidin, suggesting it as a potential novel therapeutic agent, and a template to design new therapeutic AMPs.     

A New Report of Fruit Rot of Lemon Caused by Ceratocystis radicicola from Iran

In the year 2000, a fungus was isolated from rotting lemon (Citrus limon) fruit in the Kahnouj region, south‐eastern Iran and subsequently identified as Ceratocystis radicicola (anamorph: Chalara sp.). A pathogenicity test was carried out to fulfil Koch's postulates. The pathogen could only enter the ripen lemon fruit and cause the rot disease through the wounds and cracks. The fungus was also pathogenic on fruit of other citrus species as well as date palm (Phoenix dactylifera). Symptom development was slow on fruits on the tree but accelerated after fruit harvest.     

Turnover of Phospholipids in an Unsaturated Fatty Acid Auxotroph of Escherichia coli

The membrane phospholipids of an unsaturated fatty acid auxotroph of Escherichia coli were found to undergo turnover. These phospholipids were excreted into the culture medium, and were replaced in the cell with newly synthesized phospholipids. Phospholipids of growing cells supplemented with elaidic acid underwent rapid turnover, while those of cells supplemented with oleate, or cis-vaccenate plus palmitoleate, underwent slow turnover. Starvation for required amino acids stimulated this turnover in the latter two cases. Protein was also lost from growing cells. However, after amino acid starvation this loss ceased while phospholipid turnover continued. Electron micrographs of growing cells indicated that large pieces of membrane-like material were separating from the cell surface.