This thesis deals with diffusion and flow of sub-critical hydrocarbons in activated carbon by using a differential permeation method. The hydrocarbons are selected according to the effect on environmental concerns and their unique characteristics such as polarity and affinity towards activated carbon. Although it has been known that transport processes in activated carbon consist of Knudsen diffusion, gaseous viscous flow, adsorbed phase diffusion (so called, surface diffusion) and condensate flow, there have been no rigorous models to describe the transport processes in activated carbon with a full range of pressures. In particular among the four processes, the mechanism of adsorbed phase diffusion in activated carbon is still far from complete understanding. Also due to the dispersion interactions between adsorbing molecules and the solid surface, one would expect that Knudsen diffusion is influenced by the dispersive forces. From intensive experimental observations with a great care over a full range of pressures, conventional methods (for example, direct estimation from inert gas experiments) to determine adsorbed phase diffusion are found to be inadequate for strongly adsorbing vapors in activated carbon. By incorporating the effect of adsorbate-adsorbent interactions into Knudsen diffusivity, the general behavior of adsorbed phase diffusion in terms of pressure (or surface loading) can be obtained, showing a significant role in transport at low pressures. For non-polar hydrocarbons such as benzene, carbon tetrachloride and n-hexane, a mathematical model, which accounts for the effects of adsorbate-adsorbent interactions and pore size distribution, is formulated and validated, resulting in a good agreement with experimental data. Moreover, the adsorption and dynamic behaviors of alcohol molecules (which are polar compounds) are investigated with an aim to compare their behaviors against those of non-polar compounds.

For the majority of the estimated 70,000 industrial chemical substances available on the European market today there is not enough information to enable a reasonably complete assessment of the risks that they might pose to man and the environment. Any strategy for the generation of additional data for these substances should aim at making testing as efficient as possible taking into account environmental and health protection, time, monetary cost and animal welfare. To achieve this, appropriate priority setting rules are needed. The main criterion currently used for regulatory priority setting for testing of industrial chemicals is production volume; the higher the production volume, the more information is required. This was also the main criterion in the former legislation, preceding REACH (Registration, Evaluation and Authorisation of Chemicals). The aim of this thesis is to evaluate other priority setting criteria and their implications for risk management, in particular classification and labelling. The first paper in this thesis includes a study of the efficiency ratio for some of the tests required for the notification of new substances, i.e. the ratio between the likelihood that the test will lead to a classification, and the monetary cost of performing the test. The efficiency ratio was determined for the standard tests for acute oral toxicity, irritation, sensitisation and subacute toxicity using data from 1409 new chemicals notified in Europe between 1994 and 2004. The results of this investigation suggest that, given limited resources for testing, it is more efficient to perform acute toxicity tests on a larger number of substances rather than to perform additional subacute toxicity studies on the substances already tested for acute toxicity. The second paper included in this thesis, reports the results from a comparative study of the bioaccumulating properties of substances being (a) classified as carcinogenic, mutagenic and/or toxic to reproduction (CMR-substances), or (b) classified as acutely toxic or (c) unclassified. The purpose of this investigation was to evaluate potential consequences of prioritising bioaccumulating chemicals for evaluation and testing, as this is one of the strategies prescribed in REACH. The results of this study suggest that bioaccumulating substances are neither over- nor underrepresented among the CMR-substances. This result lends support to the use of the bioconcentration factor for priority setting. The studies reported in this thesis utilize existing data on classification of substances as an indicator of the outcome of the risk assessment process, relating priority setting methods to the risk management measures that they give rise to. To the best of my knowledge there are still only very few studies published that address the issue of priority setting in chemicals control using this approach, and in my view there is need for more studies of priority setting methods and a further development of priority setting strategies that are science-based. / QC 20101115

Yes / Stark illustrations of the dangers from chemical weapons can be seen in attacks using toxic industrial chemicals and sarin against civilians and combatants in Syria and toxic industrial chemicals in Iraq, as well as more targeted assassination operations in Malaysia and the United Kingdom, employing VX and novichok nerve agents, respectively. Concerns about such malign applications of chemical technology are exacerbated by the unstable international security environment and the changing nature of armed conflict, “where borderlines between war, civil war, large-scale violations of human rights, revolutions and uprisings, insurgencies and terrorism as well as organized crime are blurred” (1). It is thus essential that the global community regularly review the nature and implications of developments in chemistry, and its convergence with the life and associated sciences, and establish appropriate measures to prevent their misuse. With the parties to the Chemical Weapons Convention (CWC) convening a Review Conference to address such issues beginning 21 November 2018, we highlight important scientific aspects (2)

Baculoviruses are lytic insect viruses. Upon internalisation, the viral genome orchestrates a sequential expression process ultimately leading to lysis of the infected cell. Release of progeny capable of infecting other cells during the process completes the infection cycle. Studies of the infection cycle in cell culture are typically conducted by synchronous infection, i.e. near simultaneous infection of all cells, by means of high virus concentrations. The behaviour of the synchronously infected culture, such as the timing of onset of progeny release, is considered representative for the infection progression within individual cells. In reality, however, the synchronously infected culture only reflects the average behaviour of all infected cells. The infection progresses in individual cells display large variability; this is most obvious in the observation that within the same culture some cells undergo cell lysis at two days post infection while others remain viable up to four days post infection. Such variabilities or asynchronies observed in synchronously infected culture is the topic of this thesis. Using a simple phenomenological model, it is demonstrated that cell death and associated intracellular product release is adequately described assuming that the waiting time from infection to cell death follows a Gaussian distribution with a mean of 59 hours post infection (hpi) and a standard deviation of 15hpi. Unlike other deterministic models developed over the last decade (Licari and Bailey 1992; Nielsen 2000), this stochastic model does not make the biologically inconsistent assumption that cells continue to be metabolically active following loss of membrane integrity. While elegant in its simplicity, the model provides no explanation for the underlying stochasticity. Investigations into the cause of this dispersion of cell death highlighted further asynchronies in the specific recombinant protein yield, in viral DNA content, in virus budding rate, and in cell volume increase instead of clarifying the issue. A modelling framework developed by Licari & Bailey (1992) and later Hu & Bentley (2000) incorporates the number of infectious particles each individual cell receives as a possible source of the dispersions in the host cell responses. However, this was found NOT to be the cause of the observed asynchronies under non-substrate limiting conditions. The timing of cell death, cell volume increase, recombinant product yield, viral DNA content, and virus budding rate is identical in Sf9 cell cultures infected at multiplicities of infection of ~5, ~15, and ~45 infectious particles per cell. Cell cycle variation has previously been suggested as a possible cause for observed asynchronies in baculovirus infections (Brown and Faulkner, 1975). The cell cycle phase is indirectly linked to the cell volume, because a G_2-phase cell prior to division is inherently twice the cell volume of a G_1- phase cell after cell division. By the same logic, it is also apparent that a G_2-phase cell possesses twice the number of ribosomes of a G_1-phase cell and thus a doubled protein production capacity. The effect of the cell cycle or cell volume on the baculovirus infection was determined by splitting an exponentially growing Sf9 cell culture into 5 cell size dependent fractions by centrifugal elutriation. The subsequent infection of these fractions showed (1) no dependency of the timing of cell lysis and cell volume increase and (2) approximately twofold increase of a) recombinant protein yield, b) viral DNA concentration, and c) budded virus yield. The recombinant protein yield showed a strong proportionality to the initial cell volume and the total RNA concentration during the late phase of the infection. As argued in chapter 6, these proportionalities suggest that the observed differences in the responses of the cell fractions to the baculovirus infection are more likely caused by the difference in the protein production capacity than by cell cycle specific molecules. This investigation gave also reason to speculate that infected cells cannot progress beyond the G_2/M phase, and cell cycle progression continues undisturbed until ~8hpi when all cellular DNA replication appears to cease. Resuspended, infected Sf9 cells synchronised by centrifugal elutriation showed an identical cell cycle distribution as the non-infected control cultures for the first ~8hpi; G_1 and G_2/M phase cell proportions remained unchanged, whereas S phase cells progress to G_2/M phase. Subsequently, the non-infected control cells resumed normal cycling whereas all infected cells remained at the same cell cycle phase from 8 to 11hpi. The initial cell cycle arrests in G_2/M phase in both infected and non-infected cultures were caused through medium exchange.

The ability to rapidly detect and identify hazardous analytes in the field has become increasingly important. One of the most important analytical detection methods in the field is gas chromatography-mass spectrometry (GC-MS). In this work, a hand-portable GC-MS system is described that contains a miniature toroidal ion trap mass analyzer and a low thermal mass GC. The system is self-contained within the dimensions of 47 x 36 x 18 cm and weighs less than 13 kg. Because the instrument has a small footprint, it was used as the detector for an automated near-real-time permeation testing system. In permeation testing, materials that are used to make individual protective equipment such as gloves, masks, boots, and suits are exposed to hazardous analytes to determine how long the equipment can be worn safely. The system described herein could test five samples simultaneously. A multi-position valve rotated among the various sample streams and delivered time aliquots into the MS for quantitation. Current field air sampling techniques suffer from long desorption times, high pressure drops, artifact formation and water retention. These disadvantages can be avoided by concentrating the analytes in short open tubular traps containing thick films. There are several advantages to using polymer coated capillaries as traps, including fast desorption, inertness and low flow restriction. An air sampling trap was constructed utilizing open tubular traps for the concentration of semi-volatile organic compounds. The system consisted of multiple capillary traps bundled together, providing high sample flow rates. The analytes were desorbed from the multi-capillary bundle and refocused in a secondary trap. The simultaneous focusing and separation effect of a trap subjected to a negative temperature gradient was also explored. In this configuration, analytes were focused because the front of the peak was at a lower temperature than the rear of the peak and, hence, moved slower. In addition to the focusing effect, analytes with different volatilities focused at different temperatures within the gradient, allowing for separation.

No description available.

The aim of this thesis was to identify the denitrifying microbial communities in activated sludge from full-scale treatment plants and from small-scale reactors exposed to acetate or methanol as external carbon sources. Biological denitrification is currently the most widely used, sustainable and cost-effective process to remove nitrogen from wastewater. Increasingly strict effluent discharge standards are posing significant challenges to plant operators to reduce effluent NO3--N concentrations to levels as low as 2-3 mg L-1 or even lower. The lack of sufficient influent carbon in many municipal wastewater treatment plants makes it very difficult to achieve such low NO3--N concentrations in the effluent. An effective solution to the problem is to introduce additional external carbon sources to enhance denitrification. The selection of external carbon sources is not purely based on costs but is also dependent on the possible microbial transformations that these carbon sources may bring about in activated sludge. The most common carbon source used is methanol due to its low cost, but it has been found to cause long delays until an improvement in denitrification performance is observed. On the other hand, acetate has been found to improve denitrification almost instantaneously when added, but it has a significantly higher cost. In this study, methanol and acetate utilising denitrifiers were investigated in activated sludge with and without enrichment in laboratory scale bioreactors. The relevant denitrifiers were identified and evaluated in situ using culture independent methods particularly stable isotope probing (SIP), 16S rDNA cloning, fluorescence in situ hybridisation (FISH) and microautoradiography (MAR). Activated sludge collected from a biological nutrient removal plant exhibiting good denitrification was enriched in an anoxically-operated sequencing batch reactor (SBR) by feeding methanol as the sole carbon source and nitrate as the electron acceptor. The SBR was operated over a duration of 7 months and the SBR denitrification rate improved from 0.02 mg NO3--N mg mixed liquor volatile suspended solids (MLVSS)-1 h-1 to a steady-state value of 0.06 mg NO3-N mg MLVSS-1 h-1. At steady state operation the enriched biomass was subjected to SIP with 13C-methanol to biomark the denitrifiers capable of utilising methanol under anoxic conditions. The separated 12C-DNA and 13C-DNA fractions from the SIP experiment were individually subjected to full cycle rRNA analysis. The dominant 16S rRNA gene phylotype (Group-A clones) in the 13C-library was closely related to the obligate methylotrophs Methylobacillus and Methylophilus in the order Methylophilales of the Betaproteobacteria (96-97% sequence identities), while the most abundant clone groups in the 12C-library mostly belonged to the family Saprospiraceae in the Bacteroidetes phylum. Oligonucleotide probes were designed for FISH to target the Group-A clones and Methylophilales (probes DEN67 and MET1216, respectively) and the Saprospiraceae clones (probe SAP553). Application of these probes on SBR biomass over the enrichment period demonstrated a strong correlation between the level of SBR denitrification and relative abundance of DEN67-targeted bacteria in the SBR community. By contrast, no correlation was found between denitrification rate and the relative abundances of the well known denitrifying genera Hyphomicrobium and Paracoccus nor the Saprospiraceae-clones visualised by FISH in the SBR biomass. FISH combined with microautoradiography independently confirmed that the DEN67-targeted cells were the dominant bacterial group capable of anoxic [14C] methanol uptake in the enriched biomass. As observed in full-scale operations, the methanol-fed SBR experienced a lag period of several weeks before denitrification performance increased. Using FISH quantification, it was shown that this coincided with the lag phase in the growth of the DEN67-targeted denitrifying population. It was therefore concluded that the Methylophilales bacteria dominant in our SBR system are likely to be important in full-scale methanol-fed denitrifying sludges. The acetate utilising microbial consortium in activated sludge was investigated without prior enrichment using stable isotope probing (SIP). 13C-acetate was used in SIP to biomark the DNA of the denitrifiers. The extracted 13C-DNA fraction was subjected to a full cycle rRNA analysis. The dominant 16S rRNA gene phylotypes in the 13C-library were closely related to bacterial families Comamonadaceae and Rhodocyclaceae of class Betaproteobacteria (96-97% sequence identities). Seven oligonucleotide probes (DEN444, DEN220, DEN581, DEN441, DEN124, DEN220a and DEN1454) for use in FISH was designed to specifically target the identified phylotypes. Application of these probes on the sludge of a continuously fed denitrifying sequencing batch reactor (CFDSBR) operated over a duration of 16 days indicated a strong correlation between the level of CFDSBR denitrification and relative abundance of all probe-targeted bacteria in the CFDSBR community. FISH combined with microautoradiography (FISH-MAR) further confirmed that the DEN581- and DEN124-targeted cells dominating the CFDSBR were capable of taking up [14C] acetate under anoxic conditions. The initial occurrence of the DEN444- and DEN1454-targeted bacteria and the final dominance of DEN581- and DEN124-targeted bacteria in the CFDSBR community were likely related to the changing in-reactor nitrite concentrations during the first few days of CFDSBR operation. Hence, the DEN444- and DEN1454-targeted bacteria were hypothesised to have low affinities for nitrite while DEN124- and DEN581-targeted bacteria have higher nitrite affinities. However, it was clear that all probe-targeted bacteria were denitrifiers capable of utilising acetate as a carbon source. The rapid increase in numbers of the probe-targeted organisms positively correlates with the immediate increase in denitrification rates. The rapid response and community shifts observed when acetate was used to enhance denitrification suggest that an intermittent application of acetate is quite effective to temporarily enhance the denitrification capacity of a treatment plant. However, the importance of a bacterial impact assessment of activated sludge subjected to intermittent acetate supplementation is recommended prior to the wide use of acetate in the wastewater industry. The acetate utilising denitrifying microbial communities investigated in the previous chapter were characterised according to their eco-physiological properties using the r- and K-selection criteria. The electron donor (acetate) and acceptor (nitrite) affinities of these probe-identified denitrifiers were used as traits for this characterisation. The substrate to microorganism (S/M) ratio was manipulated to provide high and low substrate concentrations in the reactor to create conditions favourable for r- and K-strategists, respectively. Two factors, namely feeding regimes and sludge retention times, were studied to achieve the desired S/M ratios and enable r/K characterisation. The high substrate affinities and high specific growth rates of two probe-identified denitrifiers (DEN124 and DEN581) did not enable resolution of these two organisms with the feeding regimes used in this study. However, the application of different sludge retention times as a control strategy to maintain constant high and low in-reactor S/M ratios enabled characterisation of the two probe-targeted denitrifiers DEN124 and DEN581 as K- and r-strategists, respectively. The in-reactor S/M ratios applied in this study did not facilitate the characterisation of populations targeted by probes DEN444 and DEN1454. The minor fluctuations of the S/M ratios during a cycle in the SBR operation was considered as a drawback, but conclusive results could still be obtained from the study. A chemostat reactor operation with constant loading and variable flow rates is suggested as an alternative. Conclusively, this study was able to identify specific groups of denitrifying microorganisms in activated sludge when exposed to acetate and methanol. Unlike most previous studies, which relied on culture dependent methods, this study adopted a pure culture independent approach to identify microorganisms in relation to their function, i.e. denitrification. Moreover, acetate denitrifiers were in situ characterised based on eco-physiological properties. The identification of denitrifying communities in this study has paved the way to a larger research project on the optimisation of denitrification processes with external acetate, methanol and other carbon supplements. As such, this study has contributed significantly to the understanding of the denitrification processes by linking process data with microbial investigations.

The aim of this thesis was to identify the denitrifying microbial communities in activated sludge from full-scale treatment plants and from small-scale reactors exposed to acetate or methanol as external carbon sources. Biological denitrification is currently the most widely used, sustainable and cost-effective process to remove nitrogen from wastewater. Increasingly strict effluent discharge standards are posing significant challenges to plant operators to reduce effluent NO3--N concentrations to levels as low as 2-3 mg L-1 or even lower. The lack of sufficient influent carbon in many municipal wastewater treatment plants makes it very difficult to achieve such low NO3--N concentrations in the effluent. An effective solution to the problem is to introduce additional external carbon sources to enhance denitrification. The selection of external carbon sources is not purely based on costs but is also dependent on the possible microbial transformations that these carbon sources may bring about in activated sludge. The most common carbon source used is methanol due to its low cost, but it has been found to cause long delays until an improvement in denitrification performance is observed. On the other hand, acetate has been found to improve denitrification almost instantaneously when added, but it has a significantly higher cost. In this study, methanol and acetate utilising denitrifiers were investigated in activated sludge with and without enrichment in laboratory scale bioreactors. The relevant denitrifiers were identified and evaluated in situ using culture independent methods particularly stable isotope probing (SIP), 16S rDNA cloning, fluorescence in situ hybridisation (FISH) and microautoradiography (MAR). Activated sludge collected from a biological nutrient removal plant exhibiting good denitrification was enriched in an anoxically-operated sequencing batch reactor (SBR) by feeding methanol as the sole carbon source and nitrate as the electron acceptor. The SBR was operated over a duration of 7 months and the SBR denitrification rate improved from 0.02 mg NO3--N mg mixed liquor volatile suspended solids (MLVSS)-1 h-1 to a steady-state value of 0.06 mg NO3-N mg MLVSS-1 h-1. At steady state operation the enriched biomass was subjected to SIP with 13C-methanol to biomark the denitrifiers capable of utilising methanol under anoxic conditions. The separated 12C-DNA and 13C-DNA fractions from the SIP experiment were individually subjected to full cycle rRNA analysis. The dominant 16S rRNA gene phylotype (Group-A clones) in the 13C-library was closely related to the obligate methylotrophs Methylobacillus and Methylophilus in the order Methylophilales of the Betaproteobacteria (96-97% sequence identities), while the most abundant clone groups in the 12C-library mostly belonged to the family Saprospiraceae in the Bacteroidetes phylum. Oligonucleotide probes were designed for FISH to target the Group-A clones and Methylophilales (probes DEN67 and MET1216, respectively) and the Saprospiraceae clones (probe SAP553). Application of these probes on SBR biomass over the enrichment period demonstrated a strong correlation between the level of SBR denitrification and relative abundance of DEN67-targeted bacteria in the SBR community. By contrast, no correlation was found between denitrification rate and the relative abundances of the well known denitrifying genera Hyphomicrobium and Paracoccus nor the Saprospiraceae-clones visualised by FISH in the SBR biomass. FISH combined with microautoradiography independently confirmed that the DEN67-targeted cells were the dominant bacterial group capable of anoxic [14C] methanol uptake in the enriched biomass. As observed in full-scale operations, the methanol-fed SBR experienced a lag period of several weeks before denitrification performance increased. Using FISH quantification, it was shown that this coincided with the lag phase in the growth of the DEN67-targeted denitrifying population. It was therefore concluded that the Methylophilales bacteria dominant in our SBR system are likely to be important in full-scale methanol-fed denitrifying sludges. The acetate utilising microbial consortium in activated sludge was investigated without prior enrichment using stable isotope probing (SIP). 13C-acetate was used in SIP to biomark the DNA of the denitrifiers. The extracted 13C-DNA fraction was subjected to a full cycle rRNA analysis. The dominant 16S rRNA gene phylotypes in the 13C-library were closely related to bacterial families Comamonadaceae and Rhodocyclaceae of class Betaproteobacteria (96-97% sequence identities). Seven oligonucleotide probes (DEN444, DEN220, DEN581, DEN441, DEN124, DEN220a and DEN1454) for use in FISH was designed to specifically target the identified phylotypes. Application of these probes on the sludge of a continuously fed denitrifying sequencing batch reactor (CFDSBR) operated over a duration of 16 days indicated a strong correlation between the level of CFDSBR denitrification and relative abundance of all probe-targeted bacteria in the CFDSBR community. FISH combined with microautoradiography (FISH-MAR) further confirmed that the DEN581- and DEN124-targeted cells dominating the CFDSBR were capable of taking up [14C] acetate under anoxic conditions. The initial occurrence of the DEN444- and DEN1454-targeted bacteria and the final dominance of DEN581- and DEN124-targeted bacteria in the CFDSBR community were likely related to the changing in-reactor nitrite concentrations during the first few days of CFDSBR operation. Hence, the DEN444- and DEN1454-targeted bacteria were hypothesised to have low affinities for nitrite while DEN124- and DEN581-targeted bacteria have higher nitrite affinities. However, it was clear that all probe-targeted bacteria were denitrifiers capable of utilising acetate as a carbon source. The rapid increase in numbers of the probe-targeted organisms positively correlates with the immediate increase in denitrification rates. The rapid response and community shifts observed when acetate was used to enhance denitrification suggest that an intermittent application of acetate is quite effective to temporarily enhance the denitrification capacity of a treatment plant. However, the importance of a bacterial impact assessment of activated sludge subjected to intermittent acetate supplementation is recommended prior to the wide use of acetate in the wastewater industry. The acetate utilising denitrifying microbial communities investigated in the previous chapter were characterised according to their eco-physiological properties using the r- and K-selection criteria. The electron donor (acetate) and acceptor (nitrite) affinities of these probe-identified denitrifiers were used as traits for this characterisation. The substrate to microorganism (S/M) ratio was manipulated to provide high and low substrate concentrations in the reactor to create conditions favourable for r- and K-strategists, respectively. Two factors, namely feeding regimes and sludge retention times, were studied to achieve the desired S/M ratios and enable r/K characterisation. The high substrate affinities and high specific growth rates of two probe-identified denitrifiers (DEN124 and DEN581) did not enable resolution of these two organisms with the feeding regimes used in this study. However, the application of different sludge retention times as a control strategy to maintain constant high and low in-reactor S/M ratios enabled characterisation of the two probe-targeted denitrifiers DEN124 and DEN581 as K- and r-strategists, respectively. The in-reactor S/M ratios applied in this study did not facilitate the characterisation of populations targeted by probes DEN444 and DEN1454. The minor fluctuations of the S/M ratios during a cycle in the SBR operation was considered as a drawback, but conclusive results could still be obtained from the study. A chemostat reactor operation with constant loading and variable flow rates is suggested as an alternative. Conclusively, this study was able to identify specific groups of denitrifying microorganisms in activated sludge when exposed to acetate and methanol. Unlike most previous studies, which relied on culture dependent methods, this study adopted a pure culture independent approach to identify microorganisms in relation to their function, i.e. denitrification. Moreover, acetate denitrifiers were in situ characterised based on eco-physiological properties. The identification of denitrifying communities in this study has paved the way to a larger research project on the optimisation of denitrification processes with external acetate, methanol and other carbon supplements. As such, this study has contributed significantly to the understanding of the denitrification processes by linking process data with microbial investigations.

Industrial chemicals in European Union produced or imported in volumes above 1 tonne annually, necessitate a registration within REACH. A common problem, concerning these chemicals, is deficient information and lack of data for assessing the hazards posed to human health and the environment. Animal studies for the type of toxicological information needed are both expensive and time consuming, and to that an ethical aspect is added. Alternative methods to animal testing are thereby requested. REACH have called for an increased use of in silico tools for non-testing data as structure-activity relationships (SARs), quantitative structure-activity relationships (QSARs), and read-across. The main objective of the studies underlying this thesis is related to explore and refine the use of in silico tools in a risk assessment context of industrial chemicals. In particular, try to relate properties of the molecular structure to the toxic effect of the chemical substance, by using principles and methods of computational chemistry. The initial study was a survey of all industrial chemicals; the Industrial chemical map was created. A part of this map was identified including chemicals of potential concern. Secondly, the environmental pollutants, polychlorinated biphenyls (PCBs) were examined and in particular the non-dioxin-like PCBs (NDL-PCBs). A set of 20 NDL-PCBs was selected to represent the 178 PCB congeners with three to seven chlorine substituents. The selection procedure was a combined process including statistical molecular design for a representative selection and expert judgements to be able to include congeners of specific interest. The 20 selected congeners were tested in vitro in as much as 17 different assays. The data from the screening process was turned into interpretable toxicity profiles with multivariate methods, used for investigation of potential classes of NDL-PCBs. It was shown that NDL-PCBs cannot be treated as one group of substances with similar mechanisms of action. Two groups of congeners were identified. A group including in general lower chlorinated congeners with a higher degree of ortho substitution showed a higher potency in more assays (including all neurotoxic assays). A second group included abundant congeners with a similar toxic profile that might contribute to a common toxic burden. To investigate the structure-activity pattern of PCBs effect on DAT in rat striatal synaptosomes, ten additional congeners were selected and tested in vitro. NDL-PCBs were shown to be potent inhibitors of DAT binding. The congeners with highest DAT inhibiting potency were tetra- and penta-chlorinated with 2-3 chlorine atoms in ortho-position. The model was not able to distinguish the congeners with activities in the lower μM range, which could be explained by a relatively unspecific response for the lower ortho chlorinated PCBs. / Den europeiska kemikalielagstiftningen REACH har fastställt att kemikalier som produceras eller importeras i en mängd över 1 ton per år, måste registreras och riskbedömmas. En uppskattad siffra är att detta gäller för 30 000 kemikalier. Problemet är dock att data och information ofta är otillräcklig för en riskbedömning. Till stor del har djurförsök använts för effektdata, men djurförsök är både kostsamt och tidskrävande, dessutom kommer den etiska aspekten in. REACH har därför efterfrågat en undersökning av möjligheten att använda in silico verktyg för att bidra med efterfrågad data och information. In silico har en ungefärlig betydelse av i datorn, och innebär beräkningsmodeller och metoder som används för att få information om kemikaliers egenskaper och toxicitet. Avhandlingens syfte är att utforska möjligheten och förfina användningen av in silico verktyg för att skapa information för riskbedömning av industrikemikalier. Avhandlingen beskriver kvantitativa modeller framtagna med kemometriska metoder för att prediktera, dvs förutsäga specifika kemikaliers toxiska effekt. I den första studien (I) undersöktes 56 072 organiska industrikemikalier. Med multivariata metoder skapades en karta över industrikemikalierna som beskrev dess kemiska och fysikaliska egenskaper. Kartan användes för jämförelser med kända och potentiella miljöfarliga kemikalier. De mest kända miljöföroreningarna visade sig ha liknande principal egenskaper och grupperade i kartan. Genom att specialstudera den delen av kartan skulle man kunna identifiera fler potentiellt farliga kemiska substanser. I studie två till fyra (II-IV) specialstuderades miljögiftet PCB. Tjugo PCBs valdes ut så att de strukturellt och fysiokemiskt representerade de 178 PCB kongenerna med tre till sju klorsubstituenter. Den toxikologiska effekten hos dessa 20 PCBs undersöktes i 17 olika in vitro assays. De toxikologiska profilerna för de 20 testade kongenerna fastställdes, dvs vilka som har liknande skadliga effekter och vilka som skiljer sig åt. De toxicologiska profilerna användes för klassificering av PCBs. Kvantitativa modeller utvecklades för prediktioner, dvs att förutbestämma effekter hos ännu icke testade PCBs, och för att få ytterligare kunskap om strukturella egenskaper som ger icke önskvärda effekter i människa och natur. Information som kan användas vid en framtida riskbedömning av icke-dioxinlika PCBs. Den sista studien (IV) är en struktur-aktivitets studie som undersöker de icke-dioxinlika PCBernas hämmande effekt av signalsubstansen dopamin i hjärnan.

The aim of this thesis was to identify the denitrifying microbial communities in activated sludge from full-scale treatment plants and from small-scale reactors exposed to acetate or methanol as external carbon sources. Biological denitrification is currently the most widely used, sustainable and cost-effective process to remove nitrogen from wastewater. Increasingly strict effluent discharge standards are posing significant challenges to plant operators to reduce effluent NO3--N concentrations to levels as low as 2-3 mg L-1 or even lower. The lack of sufficient influent carbon in many municipal wastewater treatment plants makes it very difficult to achieve such low NO3--N concentrations in the effluent. An effective solution to the problem is to introduce additional external carbon sources to enhance denitrification. The selection of external carbon sources is not purely based on costs but is also dependent on the possible microbial transformations that these carbon sources may bring about in activated sludge. The most common carbon source used is methanol due to its low cost, but it has been found to cause long delays until an improvement in denitrification performance is observed. On the other hand, acetate has been found to improve denitrification almost instantaneously when added, but it has a significantly higher cost. In this study, methanol and acetate utilising denitrifiers were investigated in activated sludge with and without enrichment in laboratory scale bioreactors. The relevant denitrifiers were identified and evaluated in situ using culture independent methods particularly stable isotope probing (SIP), 16S rDNA cloning, fluorescence in situ hybridisation (FISH) and microautoradiography (MAR). Activated sludge collected from a biological nutrient removal plant exhibiting good denitrification was enriched in an anoxically-operated sequencing batch reactor (SBR) by feeding methanol as the sole carbon source and nitrate as the electron acceptor. The SBR was operated over a duration of 7 months and the SBR denitrification rate improved from 0.02 mg NO3--N mg mixed liquor volatile suspended solids (MLVSS)-1 h-1 to a steady-state value of 0.06 mg NO3-N mg MLVSS-1 h-1. At steady state operation the enriched biomass was subjected to SIP with 13C-methanol to biomark the denitrifiers capable of utilising methanol under anoxic conditions. The separated 12C-DNA and 13C-DNA fractions from the SIP experiment were individually subjected to full cycle rRNA analysis. The dominant 16S rRNA gene phylotype (Group-A clones) in the 13C-library was closely related to the obligate methylotrophs Methylobacillus and Methylophilus in the order Methylophilales of the Betaproteobacteria (96-97% sequence identities), while the most abundant clone groups in the 12C-library mostly belonged to the family Saprospiraceae in the Bacteroidetes phylum. Oligonucleotide probes were designed for FISH to target the Group-A clones and Methylophilales (probes DEN67 and MET1216, respectively) and the Saprospiraceae clones (probe SAP553). Application of these probes on SBR biomass over the enrichment period demonstrated a strong correlation between the level of SBR denitrification and relative abundance of DEN67-targeted bacteria in the SBR community. By contrast, no correlation was found between denitrification rate and the relative abundances of the well known denitrifying genera Hyphomicrobium and Paracoccus nor the Saprospiraceae-clones visualised by FISH in the SBR biomass. FISH combined with microautoradiography independently confirmed that the DEN67-targeted cells were the dominant bacterial group capable of anoxic [14C] methanol uptake in the enriched biomass. As observed in full-scale operations, the methanol-fed SBR experienced a lag period of several weeks before denitrification performance increased. Using FISH quantification, it was shown that this coincided with the lag phase in the growth of the DEN67-targeted denitrifying population. It was therefore concluded that the Methylophilales bacteria dominant in our SBR system are likely to be important in full-scale methanol-fed denitrifying sludges. The acetate utilising microbial consortium in activated sludge was investigated without prior enrichment using stable isotope probing (SIP). 13C-acetate was used in SIP to biomark the DNA of the denitrifiers. The extracted 13C-DNA fraction was subjected to a full cycle rRNA analysis. The dominant 16S rRNA gene phylotypes in the 13C-library were closely related to bacterial families Comamonadaceae and Rhodocyclaceae of class Betaproteobacteria (96-97% sequence identities). Seven oligonucleotide probes (DEN444, DEN220, DEN581, DEN441, DEN124, DEN220a and DEN1454) for use in FISH was designed to specifically target the identified phylotypes. Application of these probes on the sludge of a continuously fed denitrifying sequencing batch reactor (CFDSBR) operated over a duration of 16 days indicated a strong correlation between the level of CFDSBR denitrification and relative abundance of all probe-targeted bacteria in the CFDSBR community. FISH combined with microautoradiography (FISH-MAR) further confirmed that the DEN581- and DEN124-targeted cells dominating the CFDSBR were capable of taking up [14C] acetate under anoxic conditions. The initial occurrence of the DEN444- and DEN1454-targeted bacteria and the final dominance of DEN581- and DEN124-targeted bacteria in the CFDSBR community were likely related to the changing in-reactor nitrite concentrations during the first few days of CFDSBR operation. Hence, the DEN444- and DEN1454-targeted bacteria were hypothesised to have low affinities for nitrite while DEN124- and DEN581-targeted bacteria have higher nitrite affinities. However, it was clear that all probe-targeted bacteria were denitrifiers capable of utilising acetate as a carbon source. The rapid increase in numbers of the probe-targeted organisms positively correlates with the immediate increase in denitrification rates. The rapid response and community shifts observed when acetate was used to enhance denitrification suggest that an intermittent application of acetate is quite effective to temporarily enhance the denitrification capacity of a treatment plant. However, the importance of a bacterial impact assessment of activated sludge subjected to intermittent acetate supplementation is recommended prior to the wide use of acetate in the wastewater industry. The acetate utilising denitrifying microbial communities investigated in the previous chapter were characterised according to their eco-physiological properties using the r- and K-selection criteria. The electron donor (acetate) and acceptor (nitrite) affinities of these probe-identified denitrifiers were used as traits for this characterisation. The substrate to microorganism (S/M) ratio was manipulated to provide high and low substrate concentrations in the reactor to create conditions favourable for r- and K-strategists, respectively. Two factors, namely feeding regimes and sludge retention times, were studied to achieve the desired S/M ratios and enable r/K characterisation. The high substrate affinities and high specific growth rates of two probe-identified denitrifiers (DEN124 and DEN581) did not enable resolution of these two organisms with the feeding regimes used in this study. However, the application of different sludge retention times as a control strategy to maintain constant high and low in-reactor S/M ratios enabled characterisation of the two probe-targeted denitrifiers DEN124 and DEN581 as K- and r-strategists, respectively. The in-reactor S/M ratios applied in this study did not facilitate the characterisation of populations targeted by probes DEN444 and DEN1454. The minor fluctuations of the S/M ratios during a cycle in the SBR operation was considered as a drawback, but conclusive results could still be obtained from the study. A chemostat reactor operation with constant loading and variable flow rates is suggested as an alternative. Conclusively, this study was able to identify specific groups of denitrifying microorganisms in activated sludge when exposed to acetate and methanol. Unlike most previous studies, which relied on culture dependent methods, this study adopted a pure culture independent approach to identify microorganisms in relation to their function, i.e. denitrification. Moreover, acetate denitrifiers were in situ characterised based on eco-physiological properties. The identification of denitrifying communities in this study has paved the way to a larger research project on the optimisation of denitrification processes with external acetate, methanol and other carbon supplements. As such, this study has contributed significantly to the understanding of the denitrification processes by linking process data with microbial investigations.