Phytoplankton blooms characterize temperate ocean margin zones in spring. We investigated the bacterioplankton response to a diatom bloom in the North Sea and observed a dynamic succession of populations at genus-level resolution. Taxonomically distinct expressions of carbohydrate-active enzymes (transporters; in particular, TonB-dependent transporters) and phosphate acquisition strategies were found, indicating that distinct populations of Bacteroidetes, Gammaproteobacteria, and Alphaproteobacteria are specialized for successive decomposition of algal-derived organic matter. Our results suggest that algal substrate availability provided a series of ecological niches in which specialized populations could bloom. This reveals how planktonic species, despite their seemingly homogeneous habitat, can evade extinction by direct competition.

BackgroundAn organizational approach is proposed as an immediate solution for improving postoperative pain (POP) management. The aim was to evaluate the clinical effectiveness of a quality management system (QMS), based on procedure-specific, multimodal analgesic protocols, modified to meet the individual patients’ requirements.MethodsPatients from the orthopaedic, gynaecological, visceral, and trauma surgery departments of the university hospital were involved in two prospective surveys. Survey 1 was performed at baseline and survey 2 was performed after the implementation of QMS within an interval of 1 year. The patients were asked to report pain intensity on the visual rating scale, incidence of analgesia-related side-effects, and incidence of pain interference with the items of life quality and their satisfaction with the treatment of POP.ResultsPatients from Survey 2 (n=251) reported 25–30% less pain than those from Survey 1 (n=269) (P<0.0001). Nausea was reported by 40% of the patients from Survey 1 vs 17% from Survey 2, vomiting by 25 vs 11% and fatigue by 76% in Survey 1 vs 30% in Survey 2 (P<0.0001). Life quality and patients’ satisfaction improved in Survey 2 vs Survey 1 (P<0.001).ConclusionsThe implementation of QMS allowed the reduction in POP intensity with a simultaneous decrease in analgesia-related side-effects. This has led to an increased quality of life and patient satisfaction.

An enzyme sensor array for the simultaneous determination of the three biogenic amines (histamine, tyramine and putrescine) by pattern recognition using an artificial neural network and its application to different food samples is described. A combination of a monoamine oxidase, a tyramine oxidase and a diamine oxidase (with specific activities sufficient for rapid detection) are immobilised each on a separate screen-printed thick-film electrode via transglutaminase and glutaraldehyde to compare these cross-linking reagents with regard to their suitability. To calculate the amount of a specific biogenic amine, the raw data from multichannel software were transferred to a neural network. The sensor array takes 20 min to complete (excluding statistical data analysis) with only one extraction and subsequent neutralisation step required prior to sensor measurement. The lower detection limits with the enzyme sensor were 10 mg/kg for histamine and tyramine, and 5 mg/kg for putrescine with a linear range up to 200 mg/kg for histamine and tyramine and 100 mg/kg for putrescine. The application area of the enzyme sensor array was tested from fish to meat products, sauerkraut, beer, dairy products, wine and further fermented foods and compared with the data of conventional LC analyses (mean correlation coefficient: 0.854).

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