The arsenic content of various water bodies in Argentina is higher than the acceptable levels for human and animal uses. Cyanobacteria are widely distributed in aquatic environments and can bioaccumulate arsenic (As). This study presents the response of indigenous cyanobacteria to As(III) and As(V), including the species Tolypothrix tenuis, Nostoc muscorum and Nostoc minutum, previously used with biotechnological purposes. As(III) resulted more toxic than As(V) in all cases, causing cell death in the range of 5-20 mg/l. T. tenuis growth was sensitive to As(V) with lethal inhibition at 625 mg/l, whereas the Noctoc species were stimulated. EC50 values found were 73.34 mg/l for N. muscorum and 989.3 mg/l for N. minutum. Batch cultures of N. minutum showed improvements in both growth parameters and photosynthetic pigment content in the presence of 1,000 mg/l As(V). Increases of 66.7%, 75.5%, 40% and 20.7% in cell productivity, chlorophyll a, total carotenoids and C-phycocyanin respectively were observed, reaching a bioaccumulated arsenic value of 37.4 ¼g/g at the stationary growth phase.
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http://dx.doi.org/10.1016/s0325-7541(13)70021-x | DOI Listing |
Background: KIDSCREEN-52 is an instrument to assess health related quality of life in children and adolescents.
Aim: To culturally adapt and validate the KIDSCREEN-52 questionnaire in Chileans.
Material And Methods: Two independent translations from the English Spanish language were conciliated and retranslated to English.
Clin Microbiol Infect
March 1996
Department of Medical Microbiology and INSERM U351, Gustave-Roussy Institute, Villejuif; and.
OBJECTIVE: To study the trends in mortality over 15 years in hospitalized cancer patients with bloodstream infection. METHODS: The yearly incidence rates and risk of death, by type of microorganism, were calculated for 4268 cancer patients hospitalized between 1975 and 1989 in a French cancer referral center. The relative risk of death (RR) associated with each type of microorganism was estimated using the proportional hazards model, taking into account age, hospital ward, underlying disease, geographical origin and year of the first positive blood culture.
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