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<p dir="ltr">LeadGlow (<b>LG</b>) was reported in 2009 for its ability to both sensitively and selectively detect Pb²⁺ in aqueous solutions. Utilizing the synthetic approach of <b>LG</b>, it is possible to generate a class of novel fluorophores. A derivative of first-generation <b>LG </b>was synthesized and reported here for the first time, intuitively named <b>LG2</b>. Both compounds contain interesting photophysical properties that have not been extensively researched prior to this work. Because of this, photophysical properties of both <b>LG</b> and <b>LG2</b> are unveiled here for the first time. These properties were investigated by determinations of quantum yield (QY), average fluorescence lifetime, and DFT calculations. <b>LG</b> was found to have a higher QY (0.057) than <b>LG2</b> (0.011); however, <b>LG2</b> displays an average fluorescence lifetime (3.186 ns) 5x greater than that of <b>LG</b>. Both <b>LG </b>and <b>LG2</b> are synthesized via Hg²⁺-facilitated desulfurization of their respective thiocarbonyls, resulting in a turn-on fluorescence feature. The thiocarbonyl-containing fluorophores (<b>SLG </b>and <b>SLG2</b>) display quenched fluorescence compared to their oxo-derivatives (<b>LG </b>and <b>LG2</b>), this work attempts to investigate the mechanism(s) responsible.<b> </b>A whole class of LeadGlow compounds can be synthesized and could be potentially used as fluorescence-based sensors.</p>

<p>Bcl-2 family of proteins regulate apoptosis at the level of the mitochondrial outer membrane (MOM) through both protein-protein and protein-membrane interactions. While the role of the membrane as the “locus of action” has been recognized, the detailed molecular mechanisms and the consequences of the interactions of Bcl-2 family members with the membrane are yet to be fully understood. The findings presented here focus on the dynamic interactions of Bcl-2 proteins, most notably tBid with the MOM, and their functional significance on mitochondrial outer membrane permeabilization. We show that the activation of tBid is a multi-step process that is regulated by MOM lipids and proteins. The rate-limiting step in the activation of tBid is an elaborate conformational change that is facilitated by Mtch2, and is required for the activation and recruitment of Bax to the MOM. Furthermore, we demonstrate that binding of both tBid and Bax to the membrane is reversible and is governed by dynamic equilibria that potentially contribute to the propagation of the permeabilization signal within the cell for the regulation of apoptosis. We report that the transfer of tBid between membranes is accelerated by Bax and restricted by Bcl-XL, whereas the transfer of Bax between membranes is slower than and not influenced by tBid. Finally, by studying the effect of varying lipid composition on Bax-mediated permeabilization, we establish that electrostatic interactions mediate the binding of both tBid and Bim to the membrane. We demonstrate that while Bim does not exhibit any preference for a specific anionic lipid, tBid requires cardiolipin in order to undergo its conformational change at the membrane in the absence of Mtch2. Taken together, our work contributes to the growing understanding of the dynamic interactions and changes in conformation of Bcl-2 proteins at the MOM.</p> / Doctor of Science (PhD)

Computational modeling of light-matter interactions is a valuable approach for simulating photon paths in highly scattering media such as biological tissues. Monte Carlo (MC) models are considered to be the gold standard of implementation and can offer insights into light flux, absorption, and emission through tissues. Monte Carlo modeling is a computationally intensive approach, but this burden has been alleviated in recent years due to the parallelizable nature of the algorithm and the recent implementation of graphics processing unit (GPU) acceleration. Despite impressive translational applications, the relatively recent emergence of GPU-based acceleration of MC models can still be utilized to address some pressing challenges in biomedical optics beyond DOT and PDT. The overarching goal of the current dissertation is to advance the applications and abilities of GPU accelerated MC models to include low-cost devices and model Raman scattering phenomena as they relate to clinical diagnoses. The massive increase in computational capacity afforded by GPU acceleration dramatically reduces the time necessary to model and optimize optical detection systems over a wide range of real-world scenarios. Specifically, the development of simplified optical devices to meet diagnostic challenges in low-resource settings is an emerging area of interest in which the use of MC modeling to better inform device design has not yet been widely reported. In this dissertation, GPU accelerated MC modeling is utilized to guide the development of a mobile phone-based approach for diagnosing neonatal jaundice. Increased computational capacity makes the incorporation of less common optical phenomena such as Raman scattering feasible in realistic time frames. Previous Raman scattering MC models were simplistic by necessity. As a result, it was either challenging or impractical to adequately include model parameters relevant to guiding clinical translation. This dissertation develops a Raman scattering MC model and validates it in biological tissues. The high computational capacity of a GPU-accelerated model can be used to dramatically decrease the model’s grid size and potentially provide an understanding of measured signals in Raman spectroscopy that span multiple orders of magnitude in spatial scale. In this dissertation, a GPU-accelerated Raman scattering MC model is used to inform clinical measurements of millimeter-scale bulk tissue specimens based on Raman microscopy images. The current study further develops the MC model as a tool for designing diffuse detection systems and expands the ability to use the MC model in Raman scattering in biological tissues. / Bioengineering

Mitochondrial outer membrane permeabilization (MOMP) is regulated by protein-protein and protein-membrane interactions between Bcl-2 family proteins. These interactions are governed by the concentrations and relative binding affinities of the proteins for each other. These affinities are altered by conformation changes of Bcl-2 family proteins resulting from interactions with each other and with membranes. How Bcl-2 proteins transition into and out of the conformations that controls their functions, and ultimately the fate of the cell, is not well understood. Here, kinetic analysis of the pore-forming Bcl-2 family member, Bax, revealed that Bax undergoes a conformational rearrangement through at least one structurally distinct intermediate that is a necessary precursor to pore formation. We discover that four cancer-associated Bax point mutants are trapped in the intermediate state, suggesting that transitions into and out of this intermediate can be modulated independently with consequences for the execution of apoptosis. Furthermore we report that the conformation changes Bax undergoes can be regulated by phosphorylation of Bax on residue S184 by the pro-survival kinase, Akt. Phosphorylation converts Bax into an anti-apoptotic protein that functions in a dominant-negative fashion. Bioinformatics revealed that in human cancers, higher levels of Bax are positively associated with high levels of PI3K/AKT pathway genes representing an added mechanism for cancer cells to evade apoptosis. Additionally we studied the interactions between Bax, the anti-apoptotic protein Bcl-XL, the sensitizer BH3 protein Bad and the BH3 activator protein Bid. We uncover a new mechanism of apoptosis regulation whereby Bad binds to one monomer of a Bcl-XL dimer eliciting an activating conformation change in a tBid bound to the other monomer of the Bcl-XL dimer. This allows Bad to function as a non-competitive inhibitor of Bcl-XL, and represents a novel mechanism that significantly enhances the potency of Bad to elicit apoptosis. / Thesis / Doctor of Philosophy (PhD) / Every day the human body creates billions of cells replacing damaged or unwanted cells. The death of these cells is tightly controlled and can result in disease when misregulated. Cancers arise when there is too little cell death and neurodegenerative diseases, such as Alzheimer’s, arise from too much cell death. Much research, including this thesis, is focused on understanding how cells die because once understood, cell death can be manipulated to treat disease. Cell death ironically occurs at the mitochondria, a cellular organ normally responsible for creating the energy required for the cell to live. When cell death is initiated, the mitochondria get holes poked into them, releasing pro-death factors that irreversibly commit the cell to dying. The work presented here uncovers new information about the regulation of the hole poking process, how it is blocked in breast cancer and how the process may be modulated to treat cancers.

Molecular dynamics of biomolecules, like proteins and nucleic acids dictate essential biological processes allowing life to function. They are involved in a vast number of cellular tasks including DNA replication, genetic recombination, transcription and translation, as well as signalling, translational motion, structure formation, biochemical synthesis, immune response, and many more. Developed over billions of years by evolution they constitute fine-tuned networks modulated by temperature and regulatory mechanisms. A better understanding of the thermodynamic fundamentals of inter- and intramolecular conformational changes can shed light on the underlying processes of diseases and enables the transfer of biological architectures, properties and compositions to nanotechnological applications. Dynamics of biomolecules occur on a wide range of timescales covering more than twelve orders of magnitude. Fluorescence spectroscopy techniques like time-correlated single photon counting (TCSPC), fluorescence correlation spectroscopy (FCS), and immobilized and freely diffusing single-molecule Förster resonance energy transfer (FRET) spectroscopy represent powerful tools monitoring the dynamics at different ranges within this large span of timescales. However, a unified approach covering all biological relevant timescales remains a goal in the field of fluorescence spectroscopy. This would comprise a methodological workflow for qualitative and quantitative analysis of biomolecular dynamics ranging from nanoseconds to hours. In this work, a custom built single-molecule fluorescence spectroscopy set-up was constructed combining confocal single-molecule FRET spectroscopy with TCSPC, FCS and fluorescence anisotropy techniques for multiparameter fluorescence detection (MFD). The set-up allows the complementary observation of single-molecules over an extensive timescale ranging from fast reconfiguration dynamics of polymers (nanoseconds) to slow membrane protein folding (hours) without the need of molecular synchronization. Freely diffusing molecules enable high throughput measurements in heterogeneous membrane-mimetic and denaturing environments. Additionally, routines for data acquisition and processing were developed followed by the elaboration of a methodological workflow for the qualitative and quantitative analysis of biomolecular dynamics. Finally, the applicability was demonstrated on a big diversity of biological systems (DNA hairpin, Holliday junction, soluble and membrane proteins) in aqueous, membrane-mimetic and denaturing environments covering conformational dynamics from nanoseconds to hours.:Chapter 1: Introduction Chapter 2: Dynamics of Biomolecules 2.1 Dynamics of Nucleic Acids 2.1.1 DNA Hairpin Dynamics 2.1.2 Dynamics of Holliday Junctions 2.2 Dynamics of Proteins 2.2.1 Model Systems of Protein Folding Chapter 3: Fundamentals of Fluorescence Spectroscopy 3.1 Basics of Fluorescence 3.2 Förster Resonance Energy Transfer (FRET) Chapter 4: Multiparameter Fluorescence Detection 4.1 Single-Molecule FRET Spectroscopy 4.1.1 Confocal Microscopy 4.1.2 Freely Diffusing Molecules 4.1.3 Fluorescence Spectroscopy 4.2 Time-Correlated Single-Photon Counting (TCSPC) 4.3 Pulsed Interleaved Excitation (PIE) 4.4 Fluorescence Anisotropy 4.5 Fluorescence Correlation Spectroscopy (FCS) 4.6 MFD Setup 4.7 Analysis Software Chapter 5: Analysis of Molecular Dynamics 5.1 Sub-Microseconds – Peptide Chain Dynamics 5.1.1 Identification of Peptide Chain Dynamics 5.1.2 Quantification of Peptide Chain Dynamics 5.1.3 Discussion 5.2 Microseconds – Dynamics of Barrier Crossing 5.2.1 Maximum Likelihood Estimation of the Transition-Path Time 5.2.2 Quantification of the Upper Bound of the Transition-Path Time 5.2.3 Discussion 5.3 Milliseconds – Fast Protein Folding Dynamics 5.3.1 Correlation of the Relative Donor Lifetime (τD(A) / τD(0)) with FRET Efficiency (E) 5.3.2 Burst-Variance Analysis (BVA) 5.3.3 FRET-Two-Channel Kernel-Based Density Distribution Estimator (FRET-2CDE) 5.3.4 Estimation of the Conformational Relaxation Rate using Bin-Time Analysis 5.3.5 Extracting Folding Kinetics using the Three-Gaussian (3G) Approximation 5.3.6 Dynamic Probability Distribution Analysis (dPDA) 5.3.7 Folding and Unfolding Rate Estimation using a Maximum-Likelihood Estimator 5.3.8 Discussion 5.4 Milliseconds to Seconds – Stacking Dynamics of DNA 5.4.1 Identification of Dynamics on the Recurrence Timescale 5.4.2 Quantification of Dynamics on the Recurrence Timescale 5.4.3 Discussion 5.5 Minutes to Hours – Slow Protein Folding Dynamics 5.5.1 Identification of Slow Protein Folding Dynamics 5.5.2 Quantification of Slow Protein Folding Dynamics 5.5.3 Discussion Chapter 6: Conclusion and Outlook Chapter 7: Appendices 7.1 Derivation of Equation 4.6 (inspired by Daniel Nettels) 7.2 Protein sequences 7.3 Identification of dynamics on the recurrence timescale 7.4 Dependency of psame on the sample concentration 7.5 Effect of fluorescence quenching on MFD parameters Chapter 8: References / Biomoleküle, wie Proteine und Nukleinsäuren, sind essentielle Bausteine des Lebens und permanent an biologischen Prozessen beteiligt. Innerhalb der Zelle nehmen sie eine Vielzahl von Aufgaben wahr, darunter DNA-Replikation, genetische Rekombination, Transkription und Translation, sowie Signalübertragung, Transport, Strukturbildung, biochemische Synthese und Immunreaktion. In Milliarden von Jahren evolutionärer Entwicklung wurden biomolekulare Prozesse immer feiner aufeinander Abgestimmt. Um den zugrundeliegenden Mechanismus von Krankheiten besser zu Verstehen und um die einzigartigen Eigenschaften und Kompositionen biologischer Systeme auf nanotechnologische Anwendungen übertragen zu können, ist es unbedingt notwendig ein besseres Verständnis thermodynamischer Grundlagen inter- und intramolekularer Konformationsänderungen zu erlangen. Dabei finden sich Dynamiken von Biomolekülen über eine Zeitskale von mehr als zwölf Größenordnungen verteilt. Fluoreszenzspektroskopietechniken, wie zeitkorrelierte Einzel-photonenzählung (TCSPC), Fluoreszenzkorrelationsspektroskopie (FCS), und Förster-Resonanzenergietransfer (FRET)–Spektroskopie von immobilisierten und frei diffundierenden Molekülen, stellen leistungsfähige Werkzeuge dar, welche es ermöglichen Dynamiken in der den Techniken entsprechenden Zeitskala aufzulösen. Dennoch, besteht der dringende Bedarf nach einer einheitlichen Methode, der in der Fluoreszenzspektroskopie alle biologisch relevanten Zeitskalen abdeckt. Dies würde einen methodischen Workflow für die qualitative und quantitative Analyse der biomolekularen Dynamik von Nanosekunden bis Stunden bedeuten. In dieser Arbeit wurde ein speziell angefertigter Multiparamter-Fluoreszenzspektroskopie-Aufbau konstruiert, welcher die konfokale Einzelmolekül-FRET-Spektroskopie mit den TCSPC-, FCS- und Fluoreszenz-Anisotropie-Techniken kombiniert. Der Aufbau ermöglicht die Beobachtung komplementärer Eigenschaften von Einzelmolekülen über eine umfangreiche Zeitskala hinweg. Dynamiken von schnell rekonfigurierenden Polymeren (Nanosekunden) bis hin zu langsam faltenden Membranproteinen (Stunden) sind ohne molekulare Synchronisation möglich. Darüber hinaus, ermöglicht der Einsatz frei diffundierender Moleküle einen hohen Messdurchsatz und die Anwendung heterogener membranmimetischer und denaturierender Lösungen. Zusätzlich wurden Routinen zur Datenerfassung und -verarbeitung entwickelt, gefolgt von der Ausarbeitung eines methodischen Workflows zur qualitativen und quantitativen Analyse von biomolekularen Dynamiken. Abschließend wurde die Anwendbarkeit an fünf biologischen Modelsystemen (DNA-Haarnadel, Holliday-Junction, lösliche und Membranproteine) in wässrigen, membranmimetischen und denaturierenden Umgebungen demonstriert und alle biologisch relevanten Zeitskalen von Nanosekunden bis Stunden abgedeckt.:Chapter 1: Introduction Chapter 2: Dynamics of Biomolecules 2.1 Dynamics of Nucleic Acids 2.1.1 DNA Hairpin Dynamics 2.1.2 Dynamics of Holliday Junctions 2.2 Dynamics of Proteins 2.2.1 Model Systems of Protein Folding Chapter 3: Fundamentals of Fluorescence Spectroscopy 3.1 Basics of Fluorescence 3.2 Förster Resonance Energy Transfer (FRET) Chapter 4: Multiparameter Fluorescence Detection 4.1 Single-Molecule FRET Spectroscopy 4.1.1 Confocal Microscopy 4.1.2 Freely Diffusing Molecules 4.1.3 Fluorescence Spectroscopy 4.2 Time-Correlated Single-Photon Counting (TCSPC) 4.3 Pulsed Interleaved Excitation (PIE) 4.4 Fluorescence Anisotropy 4.5 Fluorescence Correlation Spectroscopy (FCS) 4.6 MFD Setup 4.7 Analysis Software Chapter 5: Analysis of Molecular Dynamics 5.1 Sub-Microseconds – Peptide Chain Dynamics 5.1.1 Identification of Peptide Chain Dynamics 5.1.2 Quantification of Peptide Chain Dynamics 5.1.3 Discussion 5.2 Microseconds – Dynamics of Barrier Crossing 5.2.1 Maximum Likelihood Estimation of the Transition-Path Time 5.2.2 Quantification of the Upper Bound of the Transition-Path Time 5.2.3 Discussion 5.3 Milliseconds – Fast Protein Folding Dynamics 5.3.1 Correlation of the Relative Donor Lifetime (τD(A) / τD(0)) with FRET Efficiency (E) 5.3.2 Burst-Variance Analysis (BVA) 5.3.3 FRET-Two-Channel Kernel-Based Density Distribution Estimator (FRET-2CDE) 5.3.4 Estimation of the Conformational Relaxation Rate using Bin-Time Analysis 5.3.5 Extracting Folding Kinetics using the Three-Gaussian (3G) Approximation 5.3.6 Dynamic Probability Distribution Analysis (dPDA) 5.3.7 Folding and Unfolding Rate Estimation using a Maximum-Likelihood Estimator 5.3.8 Discussion 5.4 Milliseconds to Seconds – Stacking Dynamics of DNA 5.4.1 Identification of Dynamics on the Recurrence Timescale 5.4.2 Quantification of Dynamics on the Recurrence Timescale 5.4.3 Discussion 5.5 Minutes to Hours – Slow Protein Folding Dynamics 5.5.1 Identification of Slow Protein Folding Dynamics 5.5.2 Quantification of Slow Protein Folding Dynamics 5.5.3 Discussion Chapter 6: Conclusion and Outlook Chapter 7: Appendices 7.1 Derivation of Equation 4.6 (inspired by Daniel Nettels) 7.2 Protein sequences 7.3 Identification of dynamics on the recurrence timescale 7.4 Dependency of psame on the sample concentration 7.5 Effect of fluorescence quenching on MFD parameters Chapter 8: References

This dissertation presents experimental and instrumentation developments that take full advantage of the multidimensional nature of line narrowing spectroscopy at liquid nitrogen (77 K) and liquid helium (4.2 K) temperatures. The inconvenience of sample freezing procedures is eliminated with the aid of cryogenic fiber optic probes. Rapid collection of multidimensional data formats such as wavelength time matrices, excitation emission matrices, time-resolved excitation emission matrices and time resolved excitation emission cubes is made possible with the combination of a pulsed tunable dye laser, a spectrograph and an intensifier-charged coupled device. These data formats provide unique opportunities for processing vibrational luminescence data with second order multivariate calibration algorithms. The use of cryogenic fiber optic probes is extended to commercial instrumentation. An attractive feature of spectrofluorimeters with excitation and emission monochromators is the possibility to record synchronous spectra. The advantages of this approach, which include narrowing of spectral bandwidth and simplification of emission spectra, were demonstrated with the direct analysis of highly toxic dibenzopyrene isomers. The same is true for the collection of steady-state fluorescence excitation-emission matrices. These approaches provide a general solution to unpredictable spectral interference, a ubiquitous problem for the analysis of organic pollutants in environmental samples of unknown composition. Since commercial spectrofluorimeters are readily available in most academic institutions, industrial settings and research institutes, the developments presented here should facilitate the widespread application of line-narrowing spectroscopic techniques to the direct determination, no chromatographic separation, of highly toxic compounds in complex environmental matrixes of unknown composition.

Human activities over the years, especially the unconventional exploitation of oil sands deposits, downstream on the Athabasca River (AR), might have affected the water quality and ecological integrity of the river basin, thereby presenting a threat to the environment and human health. There have been concerns that the oil sands process-affected waters stored in tailing ponds may be percolating to surface waters as well as underground waters, contaminating neighboring watersheds with a cocktail of chemicals including Polycyclic aromatic hydrocarbons (PAHs). PAHs are present both naturally and from human activities as pollutants in the environment. Forest fires, geologic activities, and oil seeps are examples of natural sources of PAHs in the environment. The major sources of PAHs in the Athabasca region are leaching of oil sands deposits and contamination from oil sands production. On occasions, forest fires contribute PAHs in the area. There has been no comparative data on the exposure of PAHs to fish along the AR and Slave River. I used an integrative monitoring of selected fishes as an indicator to achieve four objectives: i) describe the spatial and seasonal distribution of measurable concentrations of products of biotransformation of polycyclic aromatic hydrocarbons (PBPAH) in bile of fish; ii) determine the levels of parent PAHs in the muscle of fish, and extrapolate the data to estimate potential risk to human consumers, and to identify which species and geographic regions, if any, pose the greatest risk to humans; iii) use patterns of contamination to provide a scientific basis for elucidating the source of contamination; and iv) perform fish health investigation by collecting morphometric health measures and perform a systematic assessment of the occurrence of lesions in the fishes. I sampled whitefish (Coregonus clupeaformis), jackfish/northern pike (Esox luscius), walleye (Sander vitreus), goldeye (Hiodon alosoides) and burbot (Lota lota) from Fort McMurray, Fort McKay, and Fort Chipewyan in Alberta, and from Fort Smith and Fort Resolution on the Slave River in the Northwest Territories. The rationale for selecting fishes included: their abundance along the basin (some have short ranges, e.g., northern pike); their dietary/nutritional and cultural significance to communities in the area; their feeding strategy, such as benthic, supra-benthic, or pelagic, trophic status, and patterns of migration and habits of spawning. I addressed the first objective in Chapter 2, where the total PBPAHs were determined. Concentrations of products of biotransformation of 2 and 3-ringed, 4-ringed, and 5-ringed PAHs were measured using synchronous fluorescence spectroscopy. Spatial and seasonal differences were observed with greater concentrations of PBPAHs in samples of bile of fish collected from Fort McKay as well as greater concentrations of PBPAHs in bile of fish collected during summer compared to those collected in other seasons. Overall, PBPAHs were greater in fishes of lower trophic levels and fishes more closely associated with sediments. In particular, goldeye (Hiodon alosoides), consistently contained greater concentrations of all the PBPAHs studied. In Chapter 3, I achieved the second objective by measuring levels of parent PAHs in muscle of selected fishes and extrapolated the results to determine potential human health risks due to fish consumption. Dorsal muscle of fishes from upstream reaches of the AR close to oil sands extraction and upgrading activities, contained greater concentrations of individual PAHs than concentrations in muscle of fishes from further downstream in the Slave River. Risks posed by PAHs to humans were assessed using a B[a]P equivalents approach. According to the risk assessment results, the average lifetime risk of additional cancers for humans who consumed fish was less than 10-6. In Chapter 4, alkylated PAHs were also measured in fish muscle to achieve the third objective. The general presence of naphthalenes and phenanthrenes and the evaluation of molecular ratios (i.e., LMW/HMW alkyl-PAHs) allowed me to conclude that the major source of pollution is petrogenic, probably due to increases in oil sand activities around Fort McMurray and Fort McKay. I achieved the fourth objective in Chapter 5 by studying the health status and potential effects of industrial development on individuals of economically and culturally significant fishes. A resurgence in condition factor of all species after a low in 2011 was observed. Annual variation was also observed in condition factor and the incidence of anomalies or lesions. Morphometric data demonstrated relatively consistent health among fishes in both the Athabasca and Slave rivers. Analysis of condition factor and somatic indices did not demonstrate consistent differences along the river system. Overall, the health of fish as determined by the metrics employed in this study, does not appear to be adversely affected by the current level of development in the Alberta oil sands region. The data presented in this dissertation make invaluable contribution to the much needed monitoring program in the Athabasca and Slave Rivers. Overall, my findings provide baseline data on fish health, concentrations of parent and alkylated PAHs, and products of biotransformation of PAH in five species of large-bodied fishes consumed by humans in communities in the Lower Athabasca and Slave River basin. These results will be useful for establishing the status and trends and spatial distribution of PAHs during monitoring of the lower Athabasca basin and most importantly, as a valuable reference point before any potential permitted discharges of wastewaters from processing of oil sands to the AR.

Fluorescence spectroscopy was examined as a potential technique for identifying aerosol particles like bacterial spores. This technique was used for laboratory measurements on some common biological agent simulants. We have measured the intrinsic steady-state fluorescence emission spectra as a function of the excitation wavelength for several bacterial spores (washed and unwashed) in dry and aqueous suspensions at room temperature using excitation wavelengths from 200 to 600 nm. These measurements were compared to those of common, naturally occurring biological components like fungal spores and pollen and non spore samples like ovalbumin. The spectra of samples were combined into fluorescence profiles or fluorescence fingerprints. Different substrates were used for collection and detection of spores. Each bacterium produces a unique in vitro fluorescence profile when measured in dried and aqueous suspension and exhibits a strong maximum in its fluorescence emission spectrum near 330-340 nm. The fluorescence profiles were reproducible. The complexity of microorganisms made the interpretation of their spectral signature a difficult task. Principal components analysis (PCA) and cluster analysis were done as a data reduction technique for detection and identification from different backgrounds. PCA illustrates that linear combination of detected fluorescence intensities, which are present in different ratios in each of samples studied, can be used to discriminate biological agent simulants from other biological samples. The hydration effects, washing effects and the role of tryptophan on spore fluorescence were also investigated. The emission spectra of the dried spores showed a maximum near 330 nm, suggesting a hydrophobic environment for its tryptophan residues. The aqueous solution of tryptophan showed fluorescence shifted to 360 nm and in ethanol solution the maximum was shifted to 340 nm, suggesting a rather more polar average location of the tryptophan. To find the limit of detection we measured the quantum efficiency (QE) of a few samples. We concluded that spectroscopy techniques coupled with effective interpretation models are applicable to biological simulants agents. Index Heading: Bacteria; Spores; Identification; Fluorescence; Fluorescence Quantum Efficiency; Principal Components Analysis; Cluster Analysis.

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