583 resultados para PHARMACEUTICALS


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Terbium-149 is among the most interesting therapeutic nuclides for medical applications. It decays by emission of short-range α-particles (Eα = 3.967 MeV) with a half-life of 4.12 h. The goal of this study was to investigate the anticancer efficacy of a 149Tb-labeled DOTA-folate conjugate (cm09) using folate receptor (FR)-positive cancer cells in vitro and in tumor-bearing mice. 149Tb was produced at the ISOLDE facility at CERN. Radiolabeling of cm09 with purified 149Tb resulted in a specific activity of ~1.2 MBq/nmol. In vitro assays performed with 149Tb-cm09 revealed a reduced KB cell viability in a FR-specific and activity concentration-dependent manner. Tumor-bearing mice were injected with saline only (group A) or with 149Tb-cm09 (group B: 2.2 MBq; group C: 3.0 MBq). A significant tumor growth delay was found in treated animals resulting in an increased average survival time of mice which received 149Tb-cm09 (B: 30.5 d; C: 43 d) compared to untreated controls (A: 21 d). Analysis of blood parameters revealed no signs of acute toxicity to the kidneys or liver in treated mice over the time of investigation. These results demonstrated the potential of folate-based α-radionuclide therapy in tumor-bearing mice.

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Healthy oceans and healthy humans are inseparable. This article discusses new pharmaceuticals that are coming from the sea, and also ocean problems like harmful algal blooms that impact humans.

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Arterial spin labeling (ASL) is a technique for noninvasively measuring cerebral perfusion using magnetic resonance imaging. Clinical applications of ASL include functional activation studies, evaluation of the effect of pharmaceuticals on perfusion, and assessment of cerebrovascular disease, stroke, and brain tumor. The use of ASL in the clinic has been limited by poor image quality when large anatomic coverage is required and the time required for data acquisition and processing. This research sought to address these difficulties by optimizing the ASL acquisition and processing schemes. To improve data acquisition, optimal acquisition parameters were determined through simulations, phantom studies and in vivo measurements. The scan time for ASL data acquisition was limited to fifteen minutes to reduce potential subject motion. A processing scheme was implemented that rapidly produced regional cerebral blood flow (rCBF) maps with minimal user input. To provide a measure of the precision of the rCBF values produced by ASL, bootstrap analysis was performed on a representative data set. The bootstrap analysis of single gray and white matter voxels yielded a coefficient of variation of 6.7% and 29% respectively, implying that the calculated rCBF value is far more precise for gray matter than white matter. Additionally, bootstrap analysis was performed to investigate the sensitivity of the rCBF data to the input parameters and provide a quantitative comparison of several existing perfusion models. This study guided the selection of the optimum perfusion quantification model for further experiments. The optimized ASL acquisition and processing schemes were evaluated with two ASL acquisitions on each of five normal subjects. The gray-to-white matter rCBF ratios for nine of the ten acquisitions were within ±10% of 2.6 and none were statistically different from 2.6, the typical ratio produced by a variety of quantitative perfusion techniques. Overall, this work produced an ASL data acquisition and processing technique for quantitative perfusion and functional activation studies, while revealing the limitations of the technique through bootstrap analysis. ^

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Phthalates are industrial chemicals used primarily as plasticizers though they and are found in a myriad of consumer goods such as children's toys, food packaging, dental sealants, cosmetics, pharmaceuticals, perfumes, and building materials. US biomonitoring data show more than 75% of the population have exposure to mono-n-butyl phthalate (MBP), mono-ethyl phthalate (MEP), mono-(2-ethyl) hexyl phthalate (MEHP), and mono-benzyl phthalate (MBZP). Reproductive toxicity from phthalate exposure in animal models has raised concerns about similar effects on fertility in humans. This dissertation research focuses on phthalate exposures in the US population and investigates the plausibility of an exposure-response relationship between phthalates and endocrine hormones essential for ovulation among US women. The objective of this research is to determine the relationship between levels of gonadotropins, follicle stimulating hormone (FSH) and leutinizing hormone (LH), and urinary phthalate monoester metabolites: MBP, MEP, MEHP, MBZP among National Health and Nutrition Examination Survey (NHANES) 1999-2002 women aged 35 to 60 years. Using biomarker data from a one-third sub-sample of NHANES participants, log transformed serum FSH and serum LH, respectively were regressed on phthalates controlling for age, body mass index, smoking, and creatinine taking into consideration the complex survey design (n=385). Models were stratified by reproductive status: reproductive (n=185), menopause transition (n=49) and post-menopausal (n=125). A decrease in FSH associated with increasing MBzP (beta=-0.094, p<0.05) was observed for all participants but no statistical association between log FSH and MBP, MEP, or MEHP was seen. A decrease in LH (beta=-0.125, p<0.05) was also observed with increasing MBzP for all participants though there was no relationship between levels of LH and MBP, MEP, or MEHP. The observed associations between FSH, LH and MBzP did not persist when stratified by reproductive status. Thus, the present study shows a change in endocrine hormones related to ovulation with increasing urinary MBzP among a representative sample of US women from 1999-2002 though this observed exposure-response relationship does not remain after stratification by reproductive status. ^

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The penetration of the western-developed pharmaceutical industry in developing nations has had an impact not only on access to medicines but also on the value attached to medicines and the way they are consumed. People in developing countries have more faith in medicines than in doctors. Medicines constitute a large share of government health expenses but little emphasis has been placed on how medicines are being used. This dissertation includes a discussion on the penetration of pharmaceuticals in the Costa Rican society, a thorough literature review on patients' compliance with medical recommendations (including studies conducted in developed and developing countries, factors affecting adherence, issues involved in measuring compliance, treatment compliance models, and strategies to improve patients' recollection and compliance with medical recommendations), results of a compliance survey conducted in Costa Rica, and a presentation of a compliance model for developing societies.^ The Costa Rican survey includes observations on 505 medical encounters involving 13 general practitioners and 1 pediatrician in 1 urban and 2 rural clinics. Home visits yielded information on patients' adherence to medical recommendations on 404 patients and 988 medicines. The level of patients' adherence in Costa Rica is similar to what has been documented in developed societies but the strategies to improve adherence are different. Costa Ricans are prone to follow the behaviors advertised through the media or recommended by persons they consider knowlegeable in health matters and with whom they can have a personal relationship. Programs to improve adherence to medical regimens should include mass media campaigns, a re-organization of the way drugs are being dispensed, and educating health professionals to communicate and establish meaningful relationships with their patients. ^

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Hydrazine $\rm (N\sb2H\sb4),$ an important liquid propellant and derivative chemical for pharmaceuticals and pesticides, produces coma and convulsions sometimes resulting in death. Hyperammonia was found in rabbits exposed to 18 mg/Kg of hydrazine. Results of Part One of this study of rabbits emphasize the importance of acute ammonia toxicity during the first three hours following exposure to hydrazine. At no time during this post exposure period did a significant reduction of hydrazine to ammonia occur. Therefore, the elevated blood ammonia was apparently secondary to the effects of hydrazine on metabolic pathways. Further, the results support the theory of competitive inhibition of ammonia by hydrazine and emphasize the need to monitor plasma ammonia following toxic exposure to hydrazine.^ In Part Two, urea, ammonia, CO$\sb2,$ pH, glucose, sodium, potassium, chloride and creatinine were measured for up to 4 hours following injection of 18 mg/Kg of hydrazine in each of two groups of five rabbits. One group received normal saline and the other group received 5% dextrose and water/normal saline. Hyperammonemia, minimal metabolic acidosis and hyperglycemia without increased urea were found in the rabbits receiving normal saline intravenous infusion and hydrazine injection. Hence, hypoglycemia does not appear to play a role in the development of hyperammonemia. A significant difference in the elevated ammonia levels between the two groups receiving dextrose and water/normal saline and normal saline at 1 hour occurred. There was no significant difference in the elevated ammonia levels seen between the two groups receiving dextrose and water/normal saline and normal saline at 2.5 and 4 hours. Thus at 1 hour the group receiving dextrose was able to utilize excess glucose to detoxify ammonia, while at 2.5 and 4 hours there was no significant difference in the two groups' ability to detoxify ammonia.^ Findings support the theory that hydrazine inhibits the formation of urea resulting in hyperammonemia. Results suggest that hydrazine at 18 mg/Kg, a known hypoglycemic agent, causes serious hyperammonemia without increasing urea production during hyperglycemia. These experiments support a unified theory for the toxic mechanism of action of hydrazine, i.e., the intermediary metabolic effects of hydrazine are brought about by the formation of hydrazones which encumber ATP synthesis and vitamin B$\sb6$ enzymatic reactions. ^

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The introduction of pharmaceutical product patents in India and other developing countries is expected to have a significant effect on public health and local pharmaceutical industries. This paper draws implications from the historical experience of Japan when it introduced product patents in 1976. In Japan, narrow patents and promotion of cross-licensing were effective tools to keep drug prices in check while ensuring the introduction of new drugs. While the global pharmaceutical market surrounding India today differs considerably from that of the 1970's, the Japanese experience offers a policy option that may profitably be considered by India today. The Indian patent system emphasizes the patentability requirement in contrast to the Japanese patent policy which relied on narrow patents and extensive licensing. R&D by local firms and the development of local products may be promoted more effectively under the Japanese model.

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This paper introduces a novel method for examining the effects of vertical integration. The basic idea is to estimate the parameters of a vertical entry game. By carefully specifying firms' payoff equations and constructing appropriate tests, it is possible to use estimates on rival profit effects to make inferences about the existence of vertical foreclosure. I estimate the vertical entry model using data from the US generic pharmaceutical industry. The estimates indicate that vertical integration is unlikely to generate anticompetitive foreclosure effects. On the other hand, significant efficiency effects are found to arise from vertical integration. I use the parameter estimates to simulate a policy that bans vertically integrated entry. The simulation results suggest that such a ban is counterproductive; it is likely to reduce entry into smaller markets.

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La nanotecnología es un área de investigación de reciente creación que trata con la manipulación y el control de la materia con dimensiones comprendidas entre 1 y 100 nanómetros. A escala nanométrica, los materiales exhiben fenómenos físicos, químicos y biológicos singulares, muy distintos a los que manifiestan a escala convencional. En medicina, los compuestos miniaturizados a nanoescala y los materiales nanoestructurados ofrecen una mayor eficacia con respecto a las formulaciones químicas tradicionales, así como una mejora en la focalización del medicamento hacia la diana terapéutica, revelando así nuevas propiedades diagnósticas y terapéuticas. A su vez, la complejidad de la información a nivel nano es mucho mayor que en los niveles biológicos convencionales (desde el nivel de población hasta el nivel de célula) y, por tanto, cualquier flujo de trabajo en nanomedicina requiere, de forma inherente, estrategias de gestión de información avanzadas. Desafortunadamente, la informática biomédica todavía no ha proporcionado el marco de trabajo que permita lidiar con estos retos de la información a nivel nano, ni ha adaptado sus métodos y herramientas a este nuevo campo de investigación. En este contexto, la nueva área de la nanoinformática pretende detectar y establecer los vínculos existentes entre la medicina, la nanotecnología y la informática, fomentando así la aplicación de métodos computacionales para resolver las cuestiones y problemas que surgen con la información en la amplia intersección entre la biomedicina y la nanotecnología. Las observaciones expuestas previamente determinan el contexto de esta tesis doctoral, la cual se centra en analizar el dominio de la nanomedicina en profundidad, así como en el desarrollo de estrategias y herramientas para establecer correspondencias entre las distintas disciplinas, fuentes de datos, recursos computacionales y técnicas orientadas a la extracción de información y la minería de textos, con el objetivo final de hacer uso de los datos nanomédicos disponibles. El autor analiza, a través de casos reales, alguna de las tareas de investigación en nanomedicina que requieren o que pueden beneficiarse del uso de métodos y herramientas nanoinformáticas, ilustrando de esta forma los inconvenientes y limitaciones actuales de los enfoques de informática biomédica a la hora de tratar con datos pertenecientes al dominio nanomédico. Se discuten tres escenarios diferentes como ejemplos de actividades que los investigadores realizan mientras llevan a cabo su investigación, comparando los contextos biomédico y nanomédico: i) búsqueda en la Web de fuentes de datos y recursos computacionales que den soporte a su investigación; ii) búsqueda en la literatura científica de resultados experimentales y publicaciones relacionadas con su investigación; iii) búsqueda en registros de ensayos clínicos de resultados clínicos relacionados con su investigación. El desarrollo de estas actividades requiere el uso de herramientas y servicios informáticos, como exploradores Web, bases de datos de referencias bibliográficas indexando la literatura biomédica y registros online de ensayos clínicos, respectivamente. Para cada escenario, este documento proporciona un análisis detallado de los posibles obstáculos que pueden dificultar el desarrollo y el resultado de las diferentes tareas de investigación en cada uno de los dos campos citados (biomedicina y nanomedicina), poniendo especial énfasis en los retos existentes en la investigación nanomédica, campo en el que se han detectado las mayores dificultades. El autor ilustra cómo la aplicación de metodologías provenientes de la informática biomédica a estos escenarios resulta efectiva en el dominio biomédico, mientras que dichas metodologías presentan serias limitaciones cuando son aplicadas al contexto nanomédico. Para abordar dichas limitaciones, el autor propone un enfoque nanoinformático, original, diseñado específicamente para tratar con las características especiales que la información presenta a nivel nano. El enfoque consiste en un análisis en profundidad de la literatura científica y de los registros de ensayos clínicos disponibles para extraer información relevante sobre experimentos y resultados en nanomedicina —patrones textuales, vocabulario en común, descriptores de experimentos, parámetros de caracterización, etc.—, seguido del desarrollo de mecanismos para estructurar y analizar dicha información automáticamente. Este análisis concluye con la generación de un modelo de datos de referencia (gold standard) —un conjunto de datos de entrenamiento y de test anotados manualmente—, el cual ha sido aplicado a la clasificación de registros de ensayos clínicos, permitiendo distinguir automáticamente los estudios centrados en nanodrogas y nanodispositivos de aquellos enfocados a testear productos farmacéuticos tradicionales. El presente trabajo pretende proporcionar los métodos necesarios para organizar, depurar, filtrar y validar parte de los datos nanomédicos existentes en la actualidad a una escala adecuada para la toma de decisiones. Análisis similares para otras tareas de investigación en nanomedicina ayudarían a detectar qué recursos nanoinformáticos se requieren para cumplir los objetivos actuales en el área, así como a generar conjunto de datos de referencia, estructurados y densos en información, a partir de literatura y otros fuentes no estructuradas para poder aplicar nuevos algoritmos e inferir nueva información de valor para la investigación en nanomedicina. ABSTRACT Nanotechnology is a research area of recent development that deals with the manipulation and control of matter with dimensions ranging from 1 to 100 nanometers. At the nanoscale, materials exhibit singular physical, chemical and biological phenomena, very different from those manifested at the conventional scale. In medicine, nanosized compounds and nanostructured materials offer improved drug targeting and efficacy with respect to traditional formulations, and reveal novel diagnostic and therapeutic properties. Nevertheless, the complexity of information at the nano level is much higher than the complexity at the conventional biological levels (from populations to the cell). Thus, any nanomedical research workflow inherently demands advanced information management. Unfortunately, Biomedical Informatics (BMI) has not yet provided the necessary framework to deal with such information challenges, nor adapted its methods and tools to the new research field. In this context, the novel area of nanoinformatics aims to build new bridges between medicine, nanotechnology and informatics, allowing the application of computational methods to solve informational issues at the wide intersection between biomedicine and nanotechnology. The above observations determine the context of this doctoral dissertation, which is focused on analyzing the nanomedical domain in-depth, and developing nanoinformatics strategies and tools to map across disciplines, data sources, computational resources, and information extraction and text mining techniques, for leveraging available nanomedical data. The author analyzes, through real-life case studies, some research tasks in nanomedicine that would require or could benefit from the use of nanoinformatics methods and tools, illustrating present drawbacks and limitations of BMI approaches to deal with data belonging to the nanomedical domain. Three different scenarios, comparing both the biomedical and nanomedical contexts, are discussed as examples of activities that researchers would perform while conducting their research: i) searching over the Web for data sources and computational resources supporting their research; ii) searching the literature for experimental results and publications related to their research, and iii) searching clinical trial registries for clinical results related to their research. The development of these activities will depend on the use of informatics tools and services, such as web browsers, databases of citations and abstracts indexing the biomedical literature, and web-based clinical trial registries, respectively. For each scenario, this document provides a detailed analysis of the potential information barriers that could hamper the successful development of the different research tasks in both fields (biomedicine and nanomedicine), emphasizing the existing challenges for nanomedical research —where the major barriers have been found. The author illustrates how the application of BMI methodologies to these scenarios can be proven successful in the biomedical domain, whilst these methodologies present severe limitations when applied to the nanomedical context. To address such limitations, the author proposes an original nanoinformatics approach specifically designed to deal with the special characteristics of information at the nano level. This approach consists of an in-depth analysis of the scientific literature and available clinical trial registries to extract relevant information about experiments and results in nanomedicine —textual patterns, common vocabulary, experiment descriptors, characterization parameters, etc.—, followed by the development of mechanisms to automatically structure and analyze this information. This analysis resulted in the generation of a gold standard —a manually annotated training or reference set—, which was applied to the automatic classification of clinical trial summaries, distinguishing studies focused on nanodrugs and nanodevices from those aimed at testing traditional pharmaceuticals. The present work aims to provide the necessary methods for organizing, curating and validating existing nanomedical data on a scale suitable for decision-making. Similar analysis for different nanomedical research tasks would help to detect which nanoinformatics resources are required to meet current goals in the field, as well as to generate densely populated and machine-interpretable reference datasets from the literature and other unstructured sources for further testing novel algorithms and inferring new valuable information for nanomedicine.

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This work describes the analysis of 15 pharmaceutical compounds, belonging to different therapeutic classes (anti-inflammatory/analgesics, lipid regulators, antiepileptics, ?-blockers and antidepressants) and with diverse physical?chemical properties, in Spanish soils with different farmland uses. The studied compounds were extracted from soil by ultrasound-assisted extraction (UAE) and determined, after derivatization, by gas chromatography with mass spectrometric detection (GC?MS). The limits of detection (LODs) ranged from 0.14 ng g?1 (naproxen) to 0.65 ng g?1 (amitriptyline). At least two compounds where detected in all samples, being ibuprofen, salicylic acid, and paracetamol, the most frequently detected compounds. The highest levels found in soil were 47 ng g?1 for allopurinol and 37 ng g?1 for salicylic acid. The influence of the type of crop and the sampling area on the levels of pharmaceuticals in soil, as well as their relationship with soil physical?chemical properties, was studied. The frequent and widespread detection of some of these compounds in agricultural soils show a diffuse contamination, although the low levels found do not pose a risk to the environment or the human health.

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Acknowledgements The iHARP database was funded by unrestricted grants from Mundipharma International Ltd and Research in Real-Life Ltd; these analyses were funded by an unrestricted grant from Teva Pharmaceuticals. Mundipharma and Teva played no role in study conduct or analysis and did not modify or approve the manuscript. The authors wish to direct a special appreciation to all the participants of the iHARP group who contributed data to this study and to Mundipharma, sponsors of the iHARP group. In addition, we thank Julie von Ziegenweidt for assistance with data extraction and Anna Gilchrist and Valerie L. Ashton, PhD, for editorial assistance. Elizabeth V. Hillyer, DVM, provided editorial and writing support, funded by Research in Real-Life, Ltd.

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Acknowledgements Gokul Gopalan (a Senior Global Medical Director [Respiratory], at Teva Pharmaceuticals, Frazer, PA, US, at the time of this study), assisted with study design. Funding Funds to acquire the dataset from the Pharmo Institute for Drug Outcomes Research (Utrecht, the Netherlands) were provided by RiRL. The study received institutional support from Teva Pharmaceuticals Europe B.V. Gokul Gopalan, a Senior Global Medical Director (Respiratory), at Teva Pharmaceuticals, Frazer, PA, US, at the time of this study, assisted with study design, but neither Teva Pharmaceuticals Europe B.V. nor Teva Pharmaceuticals, Frazer, PA, US, contributed, either in part or in whole, to the collection, analysis, or interpretation of study data, manuscript writing, or the decision to submit the manuscript for publication. Erratum The original version of this article unfortunately contained errors that have since been corrected. The word “pharmo” has been fully capitalised to “PHARMO” throughout the article. The reference to Table 2 in the first and second sentence under the Outcomes heading has been replaced with Fig. 3. Under the Abbreviations heading ‘extrafine-particle’ was repeated, this has been corrected to ‘EF-HFA-BDP [Qvar®]: extrafine-particle hydrofluoroalkane beclomethasone dipropionate’. The competing interests of Nicolas Roche and Theresa Guibert have been amended. Academic affiliations for Dirkje S. Postma (2), Richard J. Martin (3), Ron M.C. Herrings (4), Jetty Overbeek (4), and Nicolas Roche (7) have been corrected. Figure 3 in the online and pdf version did not match, this been amended

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A major therapeutic target in the search for a cure to the devastating Alzheimer's disease is γ-secretase. This activity resides in a multiprotein enzyme complex responsible for the generation of Aβ42 peptides, precipitates of which are thought to cause the disease. γ-Secretase is also a critical component of the Notch signal transduction pathway; Notch signals regulate development and differentiation of adult self-renewing cells. This has led to the hypothesis that therapeutic inhibition of γ-secretase may interfere with Notch-related processes in adults, most alarmingly in hematopoiesis. Here, we show that application of γ-secretase inhibitors to fetal thymus organ cultures interferes with T cell development in a manner consistent with loss or reduction of Notch1 function. Progression from an immature CD4−/CD8− state to an intermediate CD4+/CD8+ double-positive state was repressed. Furthermore, treatment beginning later at the double-positive stage specifically inhibited CD8+ single-positive maturation but did not affect CD4+ single-positive cells. These results demonstrate that pharmacological γ-secretase inhibition recapitulates Notch1 loss in a vertebrate tissue and present a system in which rapid evaluation of γ-secretase-targeted pharmaceuticals for their ability to inhibit Notch activity can be performed in a relevant context.

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Microalgas são organismos unicelulares, eucariontes, fotossintetizantes e eficientes fixadores de gás carbônico que apresentam grande potencial para produção de ácidos graxos além de pigmentos, como os carotenóides e a clorofila, de interesse nas indústrias de alimentos, química, farmacêutica e de cosméticos. Dentre as microalgas, o microrganismo Ankistrodesmus braunii vem sendo citado como capaz de produzir grandes quantidades de lipídios, podendo corresponder a até 73% de sua massa seca, com produção de ácidos graxos insaturados, como o ácido linolênico. Esse microrganismo se destaca do ponto de vista industrial por poder ser conduzido em reatores e em meios de cultivo complexos. As fontes de nitrogênio, as concentrações empregadas destes nutrientes, bem como o tipo de processo de cultivo interferem na composição de biomassas fotossintetizantes. O uso de reatores tubulares tem sido estudado e tem se apresentado interessante por permitir a obtenção de altas concentrações celulares. Nesse sentido, este trabalho teve a finalidade de estudar o crescimento de Ankistrodesmus braunii em reator tubular com uso de diferentes quantidades de nitrato de sódio por processos descontínuo, descontínuo alimentado e semi-contínuo. Nos cultivos descontínuos, a máxima concentração celular (Xm) encontrada foi de 1588 ± 11 mg.L-1 com uso de 20 mM de NaNO3. O uso do processo descontínuo alimentado, o qual teve adição de 20 mM de NaNO3 feito num intervalo a cada 48 horas sendo iniciada a adição no primeiro dia, permitiu a obtenção de Xm = 2753 ± 7 mg.L-1; porém não foi possível eliminar a fase lag do cultivo, levando a uma produtividade em células (Px) de 351 ± 1 mg.L-1.dia-1. O processo semi-contínuo foi eficiente para eliminar a fase lag do cultivo, permitindo a obtenção de Xm = 2399 ± 5 mg.L-1 e um aumento de até 50% em Px, que chegou a valores de 525 ± 1 mg.L-1.dia-1 em cultivos com uso de 20 mM de NaNO3. Nesta condição os teores de proteínas e lipídios nas biomassas foram de 34,8 ± 0,2% e 38,6 ± 0,2%, respectivamente. Foi observado que, independentemente do tipo de processo empregado, há um decréscimo do valor do fator de conversão de nitrogênio em células (YX/N) com o aumento da adição de NaNO3. O maior valor de YX/N foi obtido no experimento com processo semi-contínuo e uso de 2 mM de NaNO3 no meio de cultivo, com valor médio de 29,1 ± 0,1 mg mg-1 ao final do segundo ciclo. Porém, nesta condição, o teor de proteínas da biomassa foi de 17,3 ± 0,4%. Já os maiores valores de YX/N encontrados nos processos descontínuo e descontínuo alimentado foram, respectivamente, de 22,5 ± 1,6 e 7,1 ± 0,1 mg mg-1. Os resultados obtidos neste trabalho evidenciam o potencial de Ankistrodesmus braunii como fonte de proteínas e lipídios para uso industrial.

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Objetivou-se com este trabalho avaliar o potencial agrícola do lodo de esgoto produzido no estado de São Paulo, bem como, verificar a possibilidade de interação entre a composição química e a abundância relativa de bactérias no lodo. Foram realizadas coletas de amostra de lodo de esgoto em 19 estações de tratamento de esgoto, em três épocas distintas. Nas amostras provenientes das três épocas foram determinados as concentrações dos 16 hidrocarbonetos policíclicos aromáticos (HPAs) listados como prioritários no monitoramento ambiental pela USEPA (acenafteno, acenaftileno, antraceno, benzo(a)antraceno, benzo(a)pireno, benzo(b)fluoranteno, benzo(ghi)perileno, benzo(k)fluoranteno, criseno, dibenzo(a,h)antraceno, fenantreno, fluoranteno, fluoreno, indeno(1,2,3-cd)pireno, naftaleno e pireno). Nas amostras da segunda época de coleta, além da presença de HPAs, determinou-se as concentrações de poluentes orgânicos emergentes (hormônios, produtos farmacêuticos e produtos de uso industrial), realizou-se a caracterização completa segundo a Resolução CONAMA 375/2006 (umidade, pH, N-Kjeldahl e inorgânico, carbono orgânico, cálcio, potássio, fósforo, magnésio, enxofre, boro, cobre, ferro, níquel, manganês, molibdênio, selênio, zinco, alumínio, arsênio, bário, cádmio, cromo, chumbo, mercúrio e sódio) e a caracterização da comunidade bacteriana através de metodologia independente de cultivo (sequenciamento illumina). Os macronutrientes em maiores concentrações no lodo de esgoto são: N > Ca > S > P > Mg > K. Os elementos inorgânicos Ni e Zn apresentaram concentração superior à máxima permitida para utilização agrícola pela resolução Conama 375/2006 em 1 e 3 amostras, respectivamente. A substância inorgânica que mais limita o enquadramento do lodo de esgoto como adubo orgânico (Instrução Normativa 27/2006) é o Hg. Os compostos benzilparabeno, bisfenol AF (BPAF), ácido perfluorooctanoico (PFOA) e tetrabromobisfenol A (TBBPA) não foram detectados. Por outro lado, cimetidina, metilparabeno, bisfenol A (BPA) e triclocarban foram detectados nas 19 amostras avaliadas. O composto presente em maior concentração é o triclocarban. As concentrações de hidrocarbonetos policíclicos aromáticos são baixas, de acordo com a norma Europeia. Os filos Proteobacteria e Bacteroidetes estão presentes em maior abundância relativa. Existe uma comunidade bacteriana núcleo nas estações de tratamento de esgoto do estado de São Paulo, composta por 81 gêneros, presentes nas 19 ETEs avaliadas, dos quais, os que estão em maior abundância relativa são Treponema, Clostridium, Propionibacterium, Syntrophus e Desulfobulbus. A elevação do pH a valores próximos de 12 reduz a diversidade microbiana. Considerando a abundância relativa e a composição química do lodo de esgoto, as estações podem ser agrupadas em três grupos distintos, sendo que um deles é influenciado principalmente pelos teores de Ca, Zn e Cu, o outro pelos teores de Fe e S e o terceiro grupo que foi influenciado pelos demais fatores avaliados.