Relevant bibliographies by topics / Microbial analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Microbial analysis'

Author: Grafiati
Published: 10 January 2023
Last updated: 28 January 2023

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Journal articles on the topic "Microbial analysis"

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P. Ambiga, P. Ambiga, R. Bhavani R. Bhavani, P. Sivamani P. Sivamani, and R. R. Thanighai arassu. "Comparative Analysis of Microbial and Human Amylase Activity." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 380–84. http://dx.doi.org/10.15373/2249555x/mar2013/130.

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White, David C. "Microbial community analysis." Environmental Microbiology 4, no. 1 (January 2002): 13–14. http://dx.doi.org/10.1046/j.1462-2920.2002.t01-2-00257.x.

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Haleem, Azhar M., Abdul Hameed M, Jawad Al Obaidy, and Ula H. Mahmood. "Microbial Analysis and Cytogenetic Effects of Drinking Bottled Water." Indian Journal of Applied Research 4, no. 6 (October 1, 2011): 1–3. http://dx.doi.org/10.15373/2249555x/june2014/191.

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Baldrian, P. "Microbial enzyme-catalyzed processes in soils and their analysis." Plant, Soil and Environment 55, No. 9 (October 14, 2009): 370–78. http://dx.doi.org/10.17221/134/2009-pse.

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Currently, measuring enzyme activities in soils or other lignocellulose-based materials is technically feasible; this measurement is particularly suitable for evaluating soil processes of biopolymer (cellulose, hemicelluloses, lignin, chitin and others) degradation by microbes and for assessing cycling and mobilization of principal nutrients including nitrogen, phosphorus and sulfur. With some considerations, assay methods can provide reliable information on the concentration of enzymes in soil or the rates of enzyme-catalyzed processes. Enzyme analyses in recent studies demonstrated a high level of spatial variability of soil enzyme activity both in depth and in space. The vertical gradients of enzyme activities are most developed in forest soils. Furthermore, enzyme activity in soils is regulated by seasonally-dependent variables such as temperature, moisture and the input of fresh litter. While several enzymes are widely produced by different groups of soil microorganisms, some of them can be used as indicators of the presence or activity of specific microbial taxa.
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Xu, Xuanrong, and Yutong Liu. "Quantitative Analysis Method of Ophthalmic Microbial Membrane Function Based on Microbiological Analysis." E3S Web of Conferences 271 (2021): 04040. http://dx.doi.org/10.1051/e3sconf/202127104040.

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Ophthalmic microbial eye membrane is a kind of membrane complex with highly complex structure, but it also has the therapeutic effect of bacteria that can produce microbial eye membrane. Nowadays, there is no effective method to analyze the microbial membrane. Therefore, a quantitative analysis method of ophthalmic microbial membrane function based on microbiological analysis is proposed. The biomass per unit area, substrate coverage and average thickness of the biofilm were quantitatively analyzed with Staphylococcus as material and microbiological analysis method. The structure indexes such as biomass, average thickness and average diffusion distance increased significantly, indicating the transformation process of microbial membrane from occurrence to maturity. Microbiological analysis method can effectively evaluate the occurrence, development and maturation of microbial membrane, and has potential value in studying the theoretical mechanism of microbial membrane formation.
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Vestal, J. Robie, and David C. White. "Lipid Analysis in Microbial Ecology." BioScience 39, no. 8 (September 1989): 535–41. http://dx.doi.org/10.2307/1310976.

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Bruccoleri, R. "Concordance analysis of microbial genomes." Nucleic Acids Research 26, no. 19 (October 1, 1998): 4482–86. http://dx.doi.org/10.1093/nar/26.19.4482.

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Washburn, Michael P., and John R. Yates. "Analysis of the microbial proteome." Current Opinion in Microbiology 3, no. 3 (June 2000): 292–97. http://dx.doi.org/10.1016/s1369-5274(00)00092-8.

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Nayak, Pritymanjari. "Microbial Analysis in Dry Socket." Indian Journal of Public Health Research & Development 10, no. 11 (2019): 1084. http://dx.doi.org/10.5958/0976-5506.2019.03651.9.

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Monzon, Oihane, Yu Yang, Cong Yu, Qilin Li, and Pedro J. J. Alvarez. "Microbial fuel cells under extreme salinity: performance and microbial analysis." Environmental Chemistry 12, no. 3 (2015): 293. http://dx.doi.org/10.1071/en13243.

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Environmental context The treatment of extremely saline, high-strength wastewaters while producing electricity represents a great opportunity to mitigate environmental effects and recover resources associated with wastes from shale oil and gas production. This paper demonstrates that extreme halophilic microbes can produce electricity at salinity up to 3- to 7-fold higher than sea water. Abstract Many industries generate hypersaline wastewaters with high organic strength, which represent a major challenge for pollution control and resource recovery. This study assesses the potential for microbial fuel cells (MFCs) to treat such wastewaters and generate electricity under extreme salinity. A power density of up to 71mWm–2 (318mWm–3) with a Coulombic efficiency of 42% was obtained with 100gL–1 NaCl, and the capability of MFCs to generate electricity in the presence of up to 250gL–1 NaCl was demonstrated for the first time. Pyrosequencing analysis of the microbial community colonising the anode showed the predominance of a single genus, Halanaerobium (85.7%), which has been found in late flowback fluids and is widely distributed in shale formations and oil reservoirs. Overall, this work encourages further research to assess the feasibility of MFCs to treat hypersaline wastewaters generated by the oil and gas industry.
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Dissertations / Theses on the topic "Microbial analysis"

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Beecroft, Nelli. "Development of a microbial fuel cell (MFC) and analysis of microbial community dynamics." Thesis, University of Surrey, 2010. http://epubs.surrey.ac.uk/770152/.

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The basis of this work was to understand how the performance of Microbial Fuel Cells (MFCs) can be understood and improved by analysing the behaviour of the microbial communities in the anodic chamber. It was hypothesized that specific types of species generally become more abundant in MFCs over time leading to enhanced power production. An acclimatised microbial consortium obtained from a tubular MFC was used as the inoculum for the MFC described in this study: It was found to lead to a different bacterial composition, but similar power density, to those observed in an MFC inoculated with the unacclimatised community (anaerobic sludge). Using anaerobic sludge as inoculum in four replicate MFCs, both the anodic biofilm and the suspended communities evolved differently. The spatial and temporal dynamics of microbial communities were studied in the tubular MFCs. Although the removal of organic compounds was spatially different, the dynamics of the dominant bacteria showed spatial similarity, probably attributed to the versatile metabolic capabilities of species. No specific species were found the relative abundance of which would have clearly enhanced and correlated with the power production. Using similar substrate feeds and inocula, the communities consisted of metabolically different species in the two reactor types studied. Functional redundancy was observed in the anodic communities of both reactor designs. These findings suggest that the exoelectrogenic ability could be present among a range of bacteria wider than generally thought. 2 The results of this study suggest that the development of the microbial communities in MFCs with a given inoculum and substrate are determined by the reactor design and the operational conditions. Secondly, the adaptation of bacterial communities to produce electricity may not require specific changes in community composition but instead be based on the ability of bacteria to adapt generating electricity and enhance their exoelectrogenic capacity over time.
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Jones, Katy June. "Bioinformatic analysis of biotechnologically important microbial communities." Thesis, University of Exeter, 2018. http://hdl.handle.net/10871/34543.

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Difficulties associated with the study of microbial communities, such as low proportions of cultivable species, have been addressed in recent years with the advent of a range of sequencing technologies and bioinformatic tools. This is enabling previously unexplored communities to be characterised and utilised in a range of biotechnology applications. In this thesis bioinformatic methods were applied to two datasets of biotechnological interest: microbial communities found living with the oil-producing alga Botryococcus braunii and microbial communities in acid mine drainage (AMD). B. braunii is of high interest to the biofuel industry due to its ability to produce high amounts of oils, in the form of hydrocarbons. However, a number of factors, including low growth rates, have prevented its cultivation on an industrial scale. Studies show B. braunii lives in a consortium with numerous bacteria which may influence its growth. This thesis reports both whole genome analysis and 16S rRNA gene sequence analysis to gain a greater understanding of the B. braunii bacterial consortium. Bacteria have been identified, some of which had not previously been documented as living with B. braunii, and evidence is presented for ways in which they may influence growth of the alga, including B-vitamin synthesis and secretion systems. AMD is a worldwide problem, polluting the environment and negatively impacting on human health. This by-product of the mining industry is a problem in the South West of England, where disused metalliferous mines are now a source of AMD. Bioremediation of AMD is an active area of research; sulphur-reducing bacteria and other bacteria which can remove toxic metals from AMD can be utilised for this purpose. Identifying bacteria and archaea that are able to thrive in AMD and which also have these bioremediation properties is therefore of great importance. Metagenomic sequencing has been carried out on the microbial community living in AMD sediment at the Wheal Maid tailings lagoon near Penryn in Cornwall. From these data have been identified a diverse range of bacteria and archaea present at both the sediment surface level and at depth, including microorganisms closely related to taxa reported from metalliferous mines on other continents. Evidence has been found of sulphur-reducing bacteria and of pathways for various other bioremediation-linked processes.
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Perez, Sarah Isa Esther. "Exploring microbial community structure and resilience through visualization and analysis of microbial co-occurrence networks." Thesis, University of British Columbia, 2015. http://hdl.handle.net/2429/53928.

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Cultivation independent microbial ecology research relies on high throughput sequencing technologies and analytical methods to resolve the infinite diversity of microbial life on Earth. Microorganisms live in communities driven by genetic and metabolic processes as well as symbiotic relationships. Interconnected communities of microorganisms provide essential functions in natural and human engineered ecosystems. Modelling the community as an inter-connected system can give insight into the community's functional characteristics related to the biogeochemical processes it performs. Network science resolves associations between elements of structure to notions of function in a system and has been successfully applied to the study of microbial communities and other complex biological systems. Microbial co-occurrence networks are inferred from community composition data to resolve structural patterns related to ecological properties such as community resilience to disturbance and keystone species. However, the interpretation of global and local network properties from an ecological standpoint remains difficult due to the complexity of these systems creating a need for quantitative analytical methods and visualization techniques for co-occurrence networks. This thesis tackles the visualization and analytical challenges of modelling microbial community structure from a network science approach. First, Hive Panel Explorer, an interactive visualization tool, is developed to permit data driven exploration of topological and data association patterns in complex systems. The effectiveness of Hive Panel Explorer is validated by resolving known and novel patterns in a model biological network, the C. elegans connectome. Second, network structural robustness analysis methods are applied to study microbial communities from timber harvested forest soils from a North American longterm soil productivity study. Analyzing these geographically dispersed soils reveals biogeographic patterns of diversity and enables the discovery of conserved organizing principles shaping microbial community structure. The capacity of robustness analysis to identify key microbial community members as well as model shifts in community structure due to environmental change is demonstrated. Finally, this work provides insight into the relationship between microbes and their ecosystem, and characterizing this relationship can help us understand the organization of microbial communities, survey microbial diversity and harness its potential.
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Jutras, Eileen Maura 1958. "Field-scale biofiltration: Performance evaluation and microbial analysis." Diss., The University of Arizona, 1997. http://hdl.handle.net/10150/282533.

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Biofiltration has been shown to be an effective method for the remediation of volatile organic compounds (VOC's), particularly petroleum vapors extracted from the vadose zone. Many bacteria have the enzymatic pathways necessary for aerobic mineralization of VOC's to form cell biomass, carbon dioxide and water. Molecular methods such as nucleic acid hybridizations and the polymerase chain reaction (PCR), are methods that can be applied to environmental samples to characterize bacterial community structure and function. The research presented here reports the use of a field-scale biofilter for the remediation of unleaded gasoline vapors extracted from the vadose zone. An evaluation of contaminant removal efficiency over a five month period showed that the biofilter removed 90% of total petroleum hydrocarbons and greater than 90% of the EPA priority pollutants benzene, toluene, ethylbenzene, and xylene. The bacterial consortium in the biofilter medium readily adapted to increased loading rates, and variations in temperature and moisture. A combination of conventional cultural and molecular methods was used to track the bacterial populations over the course of the experiment. Polymerase chain reaction amplification of the small ribosomal subunit DNA sequence was used for identification of bacterial isolates and the design of DNA hybridization probes. Hybridization of these probes to community DNA samples taken from the biofilter over time revealed changes in specific bacterial populations as bioremediation occurred. Specifically, bacteria that could use gasoline, toluene, ethylbenzene or xylene were prevalent throughout the biofilter. Bacterial populations that could degrade xylene gradually increased over time, while overall total population size was the similar in the background sample and at the end of the study.
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Muhamad, Ali Howbeer. "Metabolomics investigation of microbial cell factories." Thesis, University of Manchester, 2015. https://www.research.manchester.ac.uk/portal/en/theses/metabolomics-investigation-of-microbial-cell-factories(2e2f5f58-d38a-4c77-966b-56ce92aec619).html.

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The stream of new technological advancements and their integration into the field of microbiology have contributed significantly towards our understanding of life in the micro-scale world, making the fields of microbiology and biotechnology shine like never before. Since 1980, the recombinant protein-based therapeutics industry has become one of the fastest growing sectors in the biopharmaceutical market. Nearly 30% of commercially available recombinant proteins are produced in Escherichia coli, making this species one of the most commonly used bacterial expression systems for the production of recombinant biotherapeutics. However, when it comes to the production of enzymes and bioactive secondary metabolites (antibiotic, antifungal, antiviral and immunosuppressant), Streptomyces species remain the major producer within this sector. Meeting the high demand for such products requires a clear and in-depth understanding of the bioprocesses involved to achieve high yield and quality products, whilst keeping the process industrially attractive. It is generally accepted that the metabolome, as a down-stream process to the genome and proteome, may provide a clearer picture of a biological system. Thus, in this thesis a series of metabolomics approaches were adopted to obtain a deeper insight into the metabolic effects of recombinant protein production in E. coli and Streptomyces lividans. Furthermore, a Geobacter-based biomagnetite nanoparticle production system which displayed a prolonged lag phase upon scale-up was investigated by employing metabolic profiling and fingerprinting approaches combined with multivariate analysis strategies, to identify growth-limiting metabolites. The results of this analysis identified nicotinamide as the growth limiting metabolite. Nicotinamide-feeding experiments confirmed the above findings, leading to improved biomass yield whilst restoring the lag phase to bench-scale level. Raman and Fourier transform infrared spectroscopies combined with stable isotopic probing strategies were also employed to demonstrate the application of metabolic fingerprinting in providing detailed biochemical information for quantitative characterisation and differentiation of E. coli cells at community and single-cell levels. The single-cell approach proved promising, offering detailed biochemical information and perhaps accompanying other cultivation-free approaches such as metagenomics for further future investigations. It is hoped that the advances made in these studies have proved the potential applications of metabolomics strategies to aid the optimisation of microbially-driven bioprocesses.
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Thomason, Michael John. "The microbial chiral inversion of drug molecules." Thesis, University of Brighton, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284046.

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Sztyler, Magdalena K. "Molecular analysis of microbial communities from oil industry environments." Thesis, University of Portsmouth, 2014. https://researchportal.port.ac.uk/portal/en/theses/molecular-analysis-of-microbial-communities-from-oil-industry-environments(efa3e316-9da0-48ef-b9d9-cfd42a61fbc0).html.

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The effects of microbiologically influenced corrosion (MIC) can be very expensive to correct, dangerous to workers and its mechanisms are poorly understood. Understanding these processes is important so that they can be monitored and mitigated (Koch et al., 2001). It is now accepted that for the assessment of biocorrosion risks, the most powerful approach is to detect functional genes encoding the enzymes that play an important part in material deterioration (Schadt et al., 2004). The main aim of this study was to identify the microbial community present in corroded and non-corroded systems, and to detect genes that might be implicated in corrosion processes, particularly iron corrosion, so that a biochip could be designed for risk assessment of oil environments. In this thesis the microbial populations and their actives were assessed using sequencing and hybridisation techniques for three oil field sites, generating information that can help identify MIC risk. The final section of the thesis describes the development and design of functional gene probes, identified from hybridisation studies that might be included in a biochip for risk assessment in oil field environments. Microbial groups known to be involved in MIC, such as sulphate-reducing procaryota, iron-reducing bacteria, nitrate-reducing bacteria, hydrocarbon-degrading bacteria were detected, according to their 16S rRNA gene sequence, in the water injection system and production pipelines. In addition to these expected groups, sequences for Firmicutes, acetogens and methanogens were detected. Firmicutes, primarily Clostridium species, and Synergistetes sequences pre-dominated the corroded systems. Functional genes involved in biocorrosion, many of which belonged to the groups named above, were detected using the GeoChip, and a list of marker genes that can be utilised for biocorrosion monitoring has been proposed. Oligonucleotide probes for biochip development were either designed or selected from published sources. A quick and inexpensive method for probe evaluation during microarray development is described. A total of 16 probes, representing 15 genes were tested; all the probes exhibited similar hybridisation behaviour under standard conditions. The results presented in this thesis were part of an extensive EU project, BIOCOR, involving academic and industrial partners, on fundamental and applied aspects of microbial corrosion in oil field environments, which was funded to generate the knowledge needed to develop monitoring techniques for corrosion. The results presented in this thesis are the final report to the European Commission.
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Kioroglou, Dimitrios. "Analysis of microbial populations in wines through NGS methodologies." Doctoral thesis, Universitat Rovira i Virgili, 2020. http://hdl.handle.net/10803/670208.

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La vinificación es un proceso complejo que involucra varias etapas hasta el embotellado y comercialización del vino. Durante este proceso, la cantidad limitada de nutrientes provoca la competencia microbiana, que resulta en la producción de metabolitos que modulan el producto final del vino. Esta actividad microbiana puede conferir características organolépticas beneficiosas o indeseables a la calidad del vino. En los últimos años, el enfoque principal se ha centrado en la detección y el seguimiento de microorganismos determinados, que supuestamente estropean el vino, y la aplicación de metodologías empíricas para la prevención del crecimiento microbiano indeseable. Sin embargo, los hallazgos de las investigaciones han mostrado una base multifactorial del deterioro del vino, y han subrayado la necesidad de una estrategia innovadora que permita el estudio de la diversidad microbiana en su totalidad. La secuenciación de última generación parece un enfoque adecuado y prometedor para este propósito, ya que parece capaz de superar las limitaciones de las metodologías convencionales
evaluación de los resultados derivados en función de su alineación con hallazgos anteriores y su capacidad para proporcionar nuevos conocimientos. En general, el trabajo actual ha logrado corroborar estudios previos, sugerir mejoras sobre las implementaciones relacionadas con la bioinformática y la estadística y ampliar nuestro conocimiento sobre varios factores que influyen en la vinificación. Winemaking is a intricate process, involving various stages until the wine bottling and commercialization. During this process, the limited amount of nutrients leads to microbial competition, which in turn results in the production of metabolites that modulate the final wine product. This microbial activity may confer beneficial or undesirable organoleptic characteristics to the wine quality. The past years, the main focus has been given to the detection and monitoring of specific putative wine-spoiling microorganisms and the application of empirical methodologies for the prevention of unwanted microbial growth. Nevertheless, research findings have shown a multifactorial basis of the wine spoilage and underlined the need for an innovative strategy that will allow the study of the microbial diversity in its entirety. Next-generation-sequencing appears a suitable and promising approach for this purpose, as it seems able to overcome the limitations of conventional methodologies. In this work, various aspects associated to the NGS-based metataxonomic analysis have been studied, in relation to the performance of the NGS technology against conventional applications, and the establishment of a bioinformatic and statistical framework for the analysis of metataxonomic data.
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Faulwetter, Jennifer Lynn. "Analysis of microbial biofilm community composition within constructed wetlands." Diss., Montana State University, 2010. http://etd.lib.montana.edu/etd/2010/faulwetter/FaulwetterJ1210.pdf.

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Constructed wetlands (CWs) are ecologically-based water treatment systems that provide cost-effective amelioration of waterborne pollutants. Fundamental understanding of removal mechanisms, especially microbial processes, limits greater usage of constructed wetlands as a wastewater treatment system. The influence of plant species selection, season, and organic load rate on pollutant removal was previously linked to the redox condition of the sub-surface wetland environment. The goal of this research was to determine which of these environmental variables (including spatial location within the CW) influenced the dominant microbial populations and/or the activity of various sub-populations. Once identified, a constructed wetland might be optimized for growth of microorganisms involved in removal of a specific pollutant. To assess environmental factors, microbial population samples were taken in six locations (effluent, 3 root and 2 gravel areas) within replicate unplanted microcosms and wetland microcosms planted with Deschampsia cespitosa or Leymus cinereus during the summer (24°C) and winter (4°C) seasons. Microcosms were fed a synthetic domestic wastewater in 20-day batches for at least 12 months prior to sampling. The most recent techniques in molecular biology including denaturing gradient gel electrophoresis (DGGE) and quantitative PCR were utilized and included treatment with and without propidium monoazide (PMA) to distinguish between "live" and "dead" microbial communities. Primer sets targeted the entire bacterial community (16S rDNA) and two functional groups, nitrifying bacteria (amoA gene) and sulfate reducing bacteria (dsrB gene). Results indicated that overall microbial community structure (16S rDNA) was affected by general location within the microcosm (effluent, root, gravel) as well the plant species present. Specific microbial groups appeared to be affected differently with relative gene quantities of sulfate reducing bacteria and nitrifying bacteria being influenced by a combined effect of plant species and season. For dsrB, D. cespitosa had the lowest relative gene quantities overall. Both genes were more abundant in the summer season, indicating seasonal importance. Location within the microcosms was also important, with anoxic environments (column bottom) being more important for dsrB presence and a diverse population of cultivated sulfate reducers. The roots were an important location for both microbial diversity and activity for all genes investigated. 'Co-authored by Vincent Gagnon, Carina Sundberg, Florent Chazarenc, Mark D. Burr, Jacques Brisson, Anne K. Camper, Otto R. Stein, Albert E. Parker, Alfred B. Cunningham, and Frank M. Stewart.'
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Nebe-v, Caron Gerhard. "Analysis of naturally occurring microbial populations from diverse environments." Thesis, Coventry University, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.323034.

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Books on the topic "Microbial analysis"

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Schaffner, Donald W., and Michael P. Doyle, eds. Microbial Risk Analysis of Foods. Washington, DC, USA: ASM Press, 2007. http://dx.doi.org/10.1128/9781555815752.

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Konrad, Wicher, ed. Microbial antigenodiagnosis. Boca Raton, Fla: CRC Press, 1987.

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Th, Bley, and SpringerLink (Online service), eds. High Resolution Microbial Single Cell Analytics. Berlin, Heidelberg: Springer-Verlag Berlin Heidelberg, 2011.

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Nava, Mozes, ed. Microbial cell surface analysis: Structural and physiochemical methods. New York: Wiley-VCH, 1991.

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Nava, Mozes, ed. Microbial cell surface analysis: Structural and physicochemical methods. New York, NY: VCH Publishers, 1991.

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Christie, Graham. Application of novel particle analysis instrumentation for monitoring microbial fermentation processes. [s.l.]: typescript, 1998.

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K, Ritz, Dighton J, and Giller K. E, eds. Beyond the biomass: Compositional and functional analysis of soil microbial communities. Chichester: Wiley, 1994.

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Cherepova, Nadi͡a Vasileva. Elektronno-mikroskopska enzimot͡sitokhimii͡a pri bakterii. Sofii͡a: Izd-vo na Bŭlgarskata akademii͡a na naukite, 1989.

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Revsbech, Niels Peter. Mikrosensor-analyse af stratificerede mikrobielle samfund =: Microsensor analysis of stratified microbial communities. Århus: Institut for genetik og økologi, Aarhus universitet, Danmark, 1988.

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Schumann, Wolfgang, Prof. Dr. rer. nat., Ehrlich S. Dusko, and Ogasawara Naotake, eds. Functional analysis of bacterial genes: A practical manual. Chichester: J. Wiley, 2001.

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Book chapters on the topic "Microbial analysis"

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Patnaik, Pradyot. "Microbial Analysis." In Handbook of Environmental Analysis, 109–16. Third edition. | Boca Raton : Taylor & Francis, CRC Press, 2017.: CRC Press, 2017. http://dx.doi.org/10.1201/9781315151946-15.

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Lovrien, Rex E., Mark L. Ferry, Timothy S. Magnuson, and Robert A. Blanchette. "Microbial Calorimetric Analysis." In ACS Symposium Series, 544–58. Washington, DC: American Chemical Society, 1989. http://dx.doi.org/10.1021/bk-1989-0399.ch039.

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Kazou, Maria, Lena Pagiati, Rimi Bounenni, and Effie Tsakalidou. "Microbial Flora." In Handbook of Dairy Foods Analysis, 673–97. 2nd ed. Second edition. | Boca Raton : CRC Press, 2021.: CRC Press, 2021. http://dx.doi.org/10.1201/9780429342967-37.

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Zhou, Lin, and Jin-Ming Lin. "Microfluidic Platforms for Microbial." In Cell Analysis on Microfluidics, 397–423. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-5394-8_13.

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Xu, Ying. "Microarray Gene Expression Data Analysis." In Microbial Functional Genomics, 177–206. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/0471647527.ch7.

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Ussery, D. W., K. Kiil, K. Lagesen, T. Sicheritz-Pontén, J. Bohlin, and T. M. Wassenaar. "The Genus Burkholderia: Analysis of 56 Genomic Sequences." In Microbial Pathogenomics, 140–57. Basel: KARGER, 2009. http://dx.doi.org/10.1159/000235768.

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Singh, Anushka, Siddharth Vats, and Prachi Bhargava. "Advances and Challenges in Metatranscriptomic Analysis." In Microbial Metatranscriptomics Belowground, 453–69. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9758-9_21.

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George, Isabelle France, Philippe Bogaerts, Dimitri Gilis, Marianne Rooman, and Jean-François Flot. "New Tools for Bioprocess Analysis and Optimization of Microbial Fuel Production." In Microbial Fuels, 427–94. Boca Raton : CRC Press, [2018]: CRC Press, 2017. http://dx.doi.org/10.1201/9781351246101-13.

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Revsbech, Niels Peter. "Analysis of microbial mats by use of electrochemical microsensors: Recent advances." In Microbial Mats, 135–47. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-78991-5_15.

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Hattori, Tsutomu, Hisayuki Mitsui, Reiko Hattori, Shuichi Shikano, Krystyna Gorlach, Yasuhiro Kasahara, and Adel El-Beltagy. "Analysis of the Bacterial Community according to Colony Development on Solid Medium." In Microbial Communities, 229–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60694-6_21.

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Conference papers on the topic "Microbial analysis"

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Pierson, Duane L., and Harlan D. Brown. "Inflight Microbial Analysis Technology." In Intersociety Conference on Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1987. http://dx.doi.org/10.4271/871493.

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Gospavic, R., M. N. Haque, F. Leroi, V. Popov, and H. L. Lauzon. "Quantitative microbial risk assessment forListeria monocytogenesin cold smoked salmon." In RISK ANALYSIS 2010. Southampton, UK: WIT Press, 2010. http://dx.doi.org/10.2495/risk100461.

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Ali, Zulfiqur, Bruce Hodson, James Timmins, and Stephen Keith. "Microbial analysis using Sharma's reaction." In Photonics East (ISAM, VVDC, IEMB), edited by Tuan Vo-Dinh and Robert L. Spellicy. SPIE, 1999. http://dx.doi.org/10.1117/12.339046.

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Men, Hong, Yuhong Li, and Fangbao Tian. "Microbial Growth Model and Stability Analysis." In 2009 First International Workshop on Education Technology and Computer Science. IEEE, 2009. http://dx.doi.org/10.1109/etcs.2009.529.

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Xiaoying Kong, Yongming Sun, Ying Li, Lianhua Li, and Zhenhong Yuan. "Electricity generation and microbial community Analysis of microbial fuel cells with different substrates." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964487.

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"Numerical Techniques for Analysis of Microbial Population with Residual Polymer in Microbial Depolymerization Process." In Sept. 28-30, 2017 Kuala Lumpur (Malaysia). HEAIG, 2017. http://dx.doi.org/10.15242/heaig.er0917409.

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Iannucci, Leonardo, Luca Lombardo, Marco Parvis, Pierangela Cristiani, Regine Basseguy, Emma Angelini, and Sabrina Grassini. "An imaging system for microbial corrosion analysis." In 2019 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2019. http://dx.doi.org/10.1109/i2mtc.2019.8826965.

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Ma, Fengying, Yankai Yin, and Kai Sun. "Dynamic Analysis of Microbial Fuel Cell Electrochemical Model." In 2019 Chinese Control And Decision Conference (CCDC). IEEE, 2019. http://dx.doi.org/10.1109/ccdc.2019.8832970.

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Novikova, N., S. Poddubko, E. Deshevaya, and N. Polykarpov. "Microbial Community Analysis on the International Space Station." In 57th International Astronautical Congress. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.iac-06-a1.5.06.

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Bryant, Steven L., and Thomas P. Lockhart. "Reservoir Engineering Analysis of Microbial Enhanced Oil Recovery." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2000. http://dx.doi.org/10.2118/63229-ms.

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Reports on the topic "Microbial analysis"

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Clum, Alicia, Brian Foster, Jeff Froula, Kurt LaButti, Alex Sczyrba, Alla Lapidus, and Tanja Woyke. Analysis of Illumina Microbial Assemblies. Office of Scientific and Technical Information (OSTI), May 2010. http://dx.doi.org/10.2172/985368.

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Velsko, S. Validation Strategies for Microbial Forensic Analysis. Office of Scientific and Technical Information (OSTI), August 2012. http://dx.doi.org/10.2172/1056616.

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Price, Lance B. Genomic Analysis of Complex Microbial Communities in Wounds. Fort Belvoir, VA: Defense Technical Information Center, July 2009. http://dx.doi.org/10.21236/ada585789.

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Price, Lance B. Genomic Analysis of Complex Microbial Communities in Wounds. Fort Belvoir, VA: Defense Technical Information Center, January 2012. http://dx.doi.org/10.21236/ada561076.

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Rittmann, B., and P. Baveye. Fundamental quantitative analysis of microbial activity aquifer bioreclamation. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6992094.

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Bagwell, Christopher, Vanessa Garayburu-Caruso, and Danielle Saunders. Analysis of Microbial Communities as Indicators of Microbially Induced Corrosion Potential in Stainless Steel Piping. Office of Scientific and Technical Information (OSTI), September 2021. http://dx.doi.org/10.2172/1832167.

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Rittman, B. E., A. J. Valocchi, and P. Baveye. Fundamental quantitative analysis of microbial activity in aquifer bioreclamation. Office of Scientific and Technical Information (OSTI), August 1993. http://dx.doi.org/10.2172/10162972.

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Rittmann, B. E., A. J. Valocchi, and P. Baveye. Fundamental quantitative analysis of microbial activity in aquifer bioreclamation. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6161090.

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Claire M. Fraser, Ph D., Ph D. J.E. Eisen, Ph D. W. Nierman, Ph D. K. Nelson, Ph D. H. Tettelin, Ph D. J. Heidelberg, Ph D. O. White, et al. An Integrated Program in Microbial Genome Sequencing and Analysis. Office of Scientific and Technical Information (OSTI), November 2005. http://dx.doi.org/10.2172/860806.

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Rittmann, B., A. Valocchi, and P. Baveye. Fundamental quantitative analysis of microbial activity in aquifer bioreclamation. Office of Scientific and Technical Information (OSTI), January 1990. http://dx.doi.org/10.2172/6984063.

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