Improved sampling and detection of ignitable liquid residues and explosives by mass spectrometry and ion mobility spectrometry

Fire debris evidence is submitted to crime laboratories to determine if an ignitable liquid (IL) accelerant was used to commit arson. An ignitable liquid residue (ILR) may be difficult to analyze due to interferences, complex matrices, degradation, and low concentrations of analytes. Debris from an explosion and pre-detonated explosive compounds are not trivial to detect and identify due to sampling difficulties, complex matrices, and extremely low amounts (nanogram) of material present. The focus of this research is improving the sampling and detection of ILR and explosives through enhanced sensitivity, selectivity, and field portable instrumentation. Solid Phase MicroExtraction (SPME) enhanced the extraction of ILR by two orders of magnitude over conventional activated charcoal strip (ACS) extraction. Gas chromatography tandem mass spectrometry (GC/MS/MS) improved sensitivity of ILR by one order of magnitude and explosives by two orders of magnitude compared to gas chromatography mass spectrometry (GC/MS). Improvements in sensitivity were attributed to enhanced selectivity. An interface joining SPME to ion mobility spectrometry (IMS) has been constructed and evaluated to improve field detection of hidden explosives. The SPME-IMS interface improved the detection of volatile and semi-volatile explosive compounds and successfully adapted the IMS from a particle sampler into a vapor sampler. ^

Improving the scientific reliability of biological detection of explosives by Canis familiaris: Active odour signatures and their implications

The use of canines as a method of detection of explosives is well established worldwide and those applying this technology range from police forces and law enforcement to humanitarian agencies in the developing world. Despite the recent surge in publication of novel instrumental sensors for explosives detection, canines are still regarded by many to be the most effective real-time field method of explosives detection. However, unlike instrumental methods, currently it is difficult to determine detection levels, perform calibration of the canines' ability or produce scientifically valid quality control checks. Accordingly, amongst increasingly strict requirements regarding forensic evidence admission such as Frye and Daubert, there is a need for better scientific understanding of the process of canine detection. ^ When translated to the field of canine detection, just like any instrumental technique, peer reviewed publication of the reliability, success and error rates, is required for admissibility. Commonly training is focussed towards high explosives such as TNT and Composition 4, and the low explosives such as Black and Smokeless Powders are added often only for completeness. ^ Headspace analyses of explosive samples, performed by Solid Phase Microextraction (SPME) paired with Gas Chromatography - Mass Spectrometry (GC-MS), and Gas Chromatography - Electron Capture Detection (GC-ECD) was conducted, highlighting common odour chemicals. The odour chemicals detected were then presented to previously trained and certified explosives detection canines, and the activity/inactivity of the odour determined through field trials and experiments. ^ It was demonstrated that TNT and cast explosives share a common odour signature, and the same may be said for plasticized explosives such as Composition C-4 and Deta Sheet. Conversely, smokeless powders were demonstrated not to share common odours. An evaluation of the effectiveness of commercially available pseudo aids reported limited success. The implications of the explosive odour studies upon canine training then led to the development of novel inert training aids based upon the active odours determined. ^

The development of an optimized system of narcotic and explosive contraband mimics for calibration and training of biological detectors

Current commercially available mimics contain varying amounts of either the actual explosive/drug or the chemical compound of suspected interest by biological detectors. As a result, there is significant interest in determining the dominant chemical odor signatures of the mimics, often referred to as pseudos, particularly when compared to the genuine contraband material. This dissertation discusses results obtained from the analysis of drug and explosive headspace related to the odor profiles as recognized by trained detection canines. Analysis was performed through the use of headspace solid phase microextraction in conjunction with gas chromatography mass spectrometry (HS-SPME-GC-MS). Upon determination of specific odors, field trials were held using a combination of the target odors with COMPS. Piperonal was shown to be a dominant odor compound in the headspace of some ecstasy samples and a recognizable odor mimic by trained detection canines. It was also shown that detection canines could be imprinted on piperonal COMPS and correctly identify ecstasy samples at a threshold level of approximately 100ng/s. Isosafrole and/or MDP-2-POH show potential as training aid mimics for non-piperonal based MDMA. Acetic acid was shown to be dominant in the headspace of heroin samples and verified as a dominant odor in commercial vinegar samples; however, no common, secondary compound was detected in the headspace of either. Because of the similarities detected within respective explosive classes, several compounds were chosen for explosive mimics. A single based smokeless powder with a detectable level of 2,4-dinitrotoluene, a double based smokeless powder with a detectable level of nitroglycerine, 2-ethyl-1-hexanol, DMNB, ethyl centralite and diphenylamine were shown to be accurate mimics for TNT-based explosives, NG-based explosives, plastic explosives, tagged explosives, and smokeless powders, respectively. The combination of these six odors represents a comprehensive explosive odor kit with positive results for imprint on detection canines. As a proof of concept, the chemical compound PFTBA showed promise as a possible universal, non-target odor compound for comparison and calibration of detection canines and instrumentation. In a comparison study of shape versus vibration odor theory, the detection of d-methyl benzoate and methyl benzoate was explored using canine detectors. While results did not overwhelmingly substantiate either theory, shape odor theory provides a better explanation of the canine and human subject responses.

Headspace analysis of smokeless powders: Development of mass calibration methods using microdrop printing for chromatographic and ion mobility spectrometric detection

Smokeless powder additives are usually detected by their extraction from post-blast residues or unburned powder particles followed by analysis using chromatographic techniques. This work presents the first comprehensive study of the detection of the volatile and semi-volatile additives of smokeless powders using solid phase microextraction (SPME) as a sampling and pre-concentration technique. Seventy smokeless powders were studied using laboratory based chromatography techniques and a field deployable ion mobility spectrometer (IMS). The detection of diphenylamine, ethyl and methyl centralite, 2,4-dinitrotoluene, diethyl and dibutyl phthalate by IMS to associate the presence of these compounds to smokeless powders is also reported for the first time. A previously reported SPME-IMS analytical approach facilitates rapid sub-nanogram detection of the vapor phase components of smokeless powders. A mass calibration procedure for the analytical techniques used in this study was developed. Precise and accurate mass delivery of analytes in picoliter volumes was achieved using a drop-on-demand inkjet printing method. Absolute mass detection limits determined using this method for the various analytes of interest ranged between 0.03–0.8 ng for the GC-MS and between 0.03–2 ng for the IMS. Mass response graphs generated for different detection techniques help in the determination of mass extracted from the headspace of each smokeless powder. The analyte mass present in the vapor phase was sufficient for a SPME fiber to extract most analytes at amounts above the detection limits of both chromatographic techniques and the ion mobility spectrometer. Analysis of the large number of smokeless powders revealed that diphenylamine was present in the headspace of 96% of the powders. Ethyl centralite was detected in 47% of the powders and 8% of the powders had methyl centralite available for detection from the headspace sampling of the powders by SPME. Nitroglycerin was the dominant peak present in the headspace of the double-based powders. 2,4-dinitrotoluene which is another important headspace component was detected in 44% of the powders. The powders therefore have more than one headspace component and the detection of a combination of these compounds is achievable by SPME-IMS leading to an association to the presence of smokeless powders.

Comparison of medical and forensic profiling potential of volatile biomarkers from different biological specimens from individuals and across populations

There is limited scientific knowledge on the composition of human odor from different biological specimens and the effect that physiological and psychological health conditions could have on them. There is currently no direct comparison of the volatile organic compounds (VOCs) emanating from different biological specimens collected from healthy individuals as well as individuals with certain diagnosed medical conditions. Therefore the question of matching VOCs present in human odor across various biological samples and across health statuses remains unanswered. The main purpose of this study was to use analytical instrumental methods to compare the VOCs from different biological specimens from the same individual and to compare the populations evaluated in this project. The goals of this study were to utilize headspace solid-phase microextraction gas chromatography mass spectrometry (HS-SPME-GC/MS) to evaluate its potential for profiling VOCs from specimens collected using standard forensic and medical methods over three different populations: healthy group with no diagnosed medical or psychological condition, one group with diagnosed type 2 diabetes, and one group with diagnosed major depressive disorder. The pre-treatment methods of collection materials developed for the study allowed for the removal of targeted VOCs from the sampling kits prior to sampling, extraction and analysis. Optimized SPME-GC/MS conditions has been demonstrated to be capable of sampling, identifying and differentiating the VOCs present in the five biological specimens collected from different subjects and yielded excellent detection limits for the VOCs from buccal swab, breath, blood, and urine with average limits of detection of 8.3 ng. Visual, Spearman rank correlation, and PCA comparisons of the most abundant and frequent VOCs from each specimen demonstrated that each specimen has characteristic VOCs that allow them to be differentiated for both healthy and diseased individuals. Preliminary comparisons of VOC profiles of healthy individuals, patients with type 2 diabetes, and patients with major depressive disorder revealed compounds that could be used as potential biomarkers to differentiate between healthy and diseased individuals. Finally, a human biological specimen compound database has been created compiling the volatile compounds present in the emanations of human hand odor, oral fluids, breath, blood, and urine.

Determination of signature volatile odor chemicals emanating from novel biological specimens by non-invasive analytical techniques for the potential use in forensic identifications

Human scent, or the volatile organic compounds (VOCs) produced by an individual, has been recognized as a biometric measurement because of the distinct variations in both the presence and abundance of these VOCs between individuals. In forensic science, human scent has been used as a form of associative evidence by linking a suspect to a scene/object through the use of human scent discriminating canines. The scent most often collected and used with these specially trained canines is from the hands because a majority of the evidence collected is likely to have been handled by the suspect. However, the scents from other biological specimens, especially those that are likely to be present at scenes of violent crimes, have yet to be explored. Hair, fingernails and saliva are examples of these types of specimens. ^ In this work, a headspace solid phase microextraction gas chromatography-mass spectrometry (HS-SPME-GC-MS) technique was used for the identification of VOCs from hand odor, hair, fingernails and saliva. Sixty individuals were sampled and the profiles of the extracted VOCs were evaluated to assess whether they could be used for distinguishing individuals. Preliminary analysis of the biological specimens collected from an individual (intra-subject) showed that, though these materials have some VOCs in common, their overall chemical profile is different for each specimen type. Pair-wise comparisons, using Spearman Rank correlations, were made between the chemical profiles obtained from each subject, per a specimen type. Greater than 98.8% of the collected samples were distinguished from the subjects for all of the specimen types, demonstrating that these specimens can be used for distinguishing individuals. ^ Additionally, field trials were performed to determine the utility of these specimens as scent sources for human scent discriminating canines. Three trials were conducted to evaluate hair, fingernails and saliva in comparison to hand odor, which was considered the standard source of human odor. It was revealed that canines perform similarly to these alternative human scent sources as they do to hand odor implying that, though there are differences in the chemical profiles released by these specimens, they can still be used for the discrimination of individuals by trained canines.^

Evaluation of non-contact sampling and detection of explosives using receiver operating characteristic curves

The growing need for fast sampling of explosives in high throughput areas has increased the demand for improved technology for the trace detection of illicit compounds. Detection of the volatiles associated with the presence of the illicit compounds offer a different approach for sensitive trace detection of these compounds without increasing the false positive alarm rate. This study evaluated the performance of non-contact sampling and detection systems using statistical analysis through the construction of Receiver Operating Characteristic (ROC) curves in real-world scenarios for the detection of volatiles in the headspace of smokeless powder, used as the model system for generalizing explosives detection. A novel sorbent coated disk coined planar solid phase microextraction (PSPME) was previously used for rapid, non-contact sampling of the headspace containers. The limits of detection for the PSPME coupled to IMS detection was determined to be 0.5-24 ng for vapor sampling of volatile chemical compounds associated with illicit compounds and demonstrated an extraction efficiency of three times greater than other commercially available substrates, retaining >50% of the analyte after 30 minutes sampling of an analyte spike in comparison to a non-detect for the unmodified filters. Both static and dynamic PSPME sampling was used coupled with two ion mobility spectrometer (IMS) detection systems in which 10-500 mg quantities of smokeless powders were detected within 5-10 minutes of static sampling and 1 minute of dynamic sampling time in 1-45 L closed systems, resulting in faster sampling and analysis times in comparison to conventional solid phase microextraction-gas chromatography-mass spectrometry (SPME-GC-MS) analysis. Similar real-world scenarios were sampled in low and high clutter environments with zero false positive rates. Excellent PSPME-IMS detection of the volatile analytes were visualized from the ROC curves, resulting with areas under the curves (AUC) of 0.85-1.0 and 0.81-1.0 for portable and bench-top IMS systems, respectively. Construction of ROC curves were also developed for SPME-GC-MS resulting with AUC of 0.95-1.0, comparable with PSPME-IMS detection. The PSPME-IMS technique provides less false positive results for non-contact vapor sampling, cutting the cost and providing an effective sampling and detection needed in high-throughput scenarios, resulting in similar performance in comparison to well-established techniques with the added advantage of fast detection in the field.

Identification of characteristic volatile organic compounds released during the decomposition process of human remains and analogues

The manner in which remains decompose has been and is currently being researched around the world, yet little is still known about the generated scent of death. In fact, it was not until the Casey Anthony trial that research on the odor released from decomposing remains, and the compounds that it is comprised of, was brought to light. The Anthony trial marked the first admission of human decomposition odor as forensic evidence into the court of law; however, it was not "ready for prime time" as the scientific research on the scent of death is still in its infancy. This research employed the use of solid-phase microextraction (SPME) with gas chromatography-mass spectrometry (GC-MS) to identify the volatile organic compounds (VOCs) released from decomposing remains and to assess the impact that different environmental conditions had on the scent of death. Using human cadaver analogues, it was discovered that the environment in which the remains were exposed to dramatically affected the odors released by either modifying the compounds that it was comprised of or by enhancing/hindering the amount that was liberated. In addition, the VOCs released during the different stages of the decomposition process for both human remains and analogues were evaluated. Statistical analysis showed correlations between the stage of decay and the VOCs generated, such that each phase of decomposition was distinguishable based upon the type and abundance of compounds that comprised the odor. This study has provided new insight into the scent of death and the factors that can dramatically affect it, specifically, frozen, aquatic, and soil environments. Moreover, the results revealed that different stages of decomposition were distinguishable based upon the type and total mass of each compound present. Thus, based upon these findings, it is suggested that the training aids that are employed for human remains detection (HRD) canines should 1) be characteristic of remains that have undergone decomposition in different environmental settings, and 2) represent each stage of decay, to ensure that the HRD canines have been trained to the various odors that they are likely to encounter in an operational situation.

The Development of an Optimized System of Narcotic and Explosive Contraband Mimics for Calibration and Training of Biological Detectors

Current commercially available mimics contain varying amounts of either the actual explosive/drug or the chemical compound of suspected interest by biological detectors. As a result, there is significant interest in determining the dominant chemical odor signatures of the mimics, often referred to as pseudos, particularly when compared to the genuine contraband material. This dissertation discusses results obtained from the analysis of drug and explosive headspace related to the odor profiles as recognized by trained detection canines. Analysis was performed through the use of headspace solid phase microextraction in conjunction with gas chromatography mass spectrometry (HS-SPME-GC-MS). Upon determination of specific odors, field trials were held using a combination of the target odors with COMPS. Piperonal was shown to be a dominant odor compound in the headspace of some ecstasy samples and a recognizable odor mimic by trained detection canines. It was also shown that detection canines could be imprinted on piperonal COMPS and correctly identify ecstasy samples at a threshold level of approximately 100ng/s. Isosafrole and/or MDP-2-POH show potential as training aid mimics for non-piperonal based MDMA. Acetic acid was shown to be dominant in the headspace of heroin samples and verified as a dominant odor in commercial vinegar samples; however, no common, secondary compound was detected in the headspace of either. Because of the similarities detected within respective explosive classes, several compounds were chosen for explosive mimics. A single based smokeless powder with a detectable level of 2,4-dinitrotoluene, a double based smokeless powder with a detectable level of nitroglycerine, 2-ethyl-1-hexanol, DMNB, ethyl centralite and diphenylamine were shown to be accurate mimics for TNT-based explosives, NG-based explosives, plastic explosives, tagged explosives, and smokeless powders, respectively. The combination of these six odors represents a comprehensive explosive odor kit with positive results for imprint on detection canines. As a proof of concept, the chemical compound PFTBA showed promise as a possible universal, non-target odor compound for comparison and calibration of detection canines and instrumentation. In a comparison study of shape versus vibration odor theory, the detection of d-methyl benzoate and methyl benzoate was explored using canine detectors. While results did not overwhelmingly substantiate either theory, shape odor theory provides a better explanation of the canine and human subject responses.

Headspace Analysis of Smokeless Powders: Development of Mass Calibration Methods using Microdrop Printing for Chromatographic and Ion Mobility Spectrometric Detection

Smokeless powder additives are usually detected by their extraction from post-blast residues or unburned powder particles followed by analysis using chromatographic techniques. This work presents the first comprehensive study of the detection of the volatile and semi-volatile additives of smokeless powders using solid phase microextraction (SPME) as a sampling and pre-concentration technique. Seventy smokeless powders were studied using laboratory based chromatography techniques and a field deployable ion mobility spectrometer (IMS). The detection of diphenylamine, ethyl and methyl centralite, 2,4-dinitrotoluene, diethyl and dibutyl phthalate by IMS to associate the presence of these compounds to smokeless powders is also reported for the first time. A previously reported SPME-IMS analytical approach facilitates rapid sub-nanogram detection of the vapor phase components of smokeless powders. A mass calibration procedure for the analytical techniques used in this study was developed. Precise and accurate mass delivery of analytes in picoliter volumes was achieved using a drop-on-demand inkjet printing method. Absolute mass detection limits determined using this method for the various analytes of interest ranged between 0.03 - 0.8 ng for the GC-MS and between 0.03 - 2 ng for the IMS. Mass response graphs generated for different detection techniques help in the determination of mass extracted from the headspace of each smokeless powder. The analyte mass present in the vapor phase was sufficient for a SPME fiber to extract most analytes at amounts above the detection limits of both chromatographic techniques and the ion mobility spectrometer. Analysis of the large number of smokeless powders revealed that diphenylamine was present in the headspace of 96% of the powders. Ethyl centralite was detected in 47% of the powders and 8% of the powders had methyl centralite available for detection from the headspace sampling of the powders by SPME. Nitroglycerin was the dominant peak present in the headspace of the double-based powders. 2,4-dinitrotoluene which is another important headspace component was detected in 44% of the powders. The powders therefore have more than one headspace component and the detection of a combination of these compounds is achievable by SPME-IMS leading to an association to the presence of smokeless powders.

Synthesis, Modification, and Application of Siloxane Materials for Environmental Sensing

As human populations and resource consumption increase, it is increasingly important to monitor the quality of our environment. While laboratory instruments offer useful information, portable, easy to use sensors would allow environmental analysis to occur on-site, at lower cost, and with minimal operator training. We explore the synthesis, modification, and applications of modified polysiloxane in environmental sensing. Multiple methods of producing modified siloxanes were investigated. Oligomers were formed by using functionalized monomers, producing siloxane materials containing silicon hydride, methyl, and phenyl side chains. Silicon hydride-functionalized oligomers were further modified by hydrosilylation to incorporate methyl ester and naphthyl side chains. Modifications to the siloxane materials were also carried out using post-curing treatments. Methyl ester-functionalized siloxane was incorporated into the surface of a cured poly(dimethylsiloxane) film by siloxane equilibration. The materials containing methyl esters were hydrolyzed to reveal carboxylic acids, which could later be used for covalent protein immobilization. Finally, the siloxane surfaces were modified to incorporate antibodies by covalent, affinity, and adsorption-based attachment. These modifications were characterized by a variety of methods, including contact angle, attenuated total reflectance Fourier transform infrared spectroscopy, dye labels, and 1H nuclear magnetic resonance spectroscopy. The modified siloxane materials were employed in a variety of sensing schemes. Volatile organic compounds were detected using methyl, phenyl, and naphthyl-functionalized materials on a Fabry-Perot interferometer and a refractometer. The Fabry-Perot interferometer was found to detect the analytes upon siloxane extraction by deformation of the Bragg reflectors. The refractometer was used to determine that naphthyl-functionalized siloxanes had elevated refractive indices, rendering these materials more sensitive to some analytes. Antibody-modified siloxanes were used to detect biological analytes through a solid phase microextraction-mediated enzyme linked immunosorbent assay (SPME ELISA). The SPME ELISA was found to have higher analyte sensitivity compared to a conventional ELISA system. The detection scheme was used to detect Escherichia coli at 8500 CFU/mL. These results demonstrate the variety of methods that can be used to modify siloxanes and the wide range of applications of modified siloxanes has been demonstrated through chemical and biological sensing schemes.

Chemical Sensor Based on a Long-Period Fibre Grating Modified by a Functionalized Polydimethylsiloxane Coating

A chemical sensor based on a coated long-period grating has been prepared and characterized. Designer coatings based on polydimethylsiloxane were prepared by the incorporation of diphenylsiloxane and titanium cross-linker in order to provide enhanced sensitivity for a variety of key environmental pollutants and optimal refractive index of the coating. Upon microextraction of the analyte into the polymer matrix, an increase in the refractive index of the coating resulted in a change in the attenuation spectrum of the long-period grating. The grating was interrogated using ring-down detection as a means to amplify the optical loss and to gain stability against misalignment and power fluctuations. Chemical differentiation of cyclohexane and xylene was achieved and a detection limit of 300 ppm of xylene vapour was realized.

Understanding the role of auxins and oxidative enzymes on adventitious root formation in olive (olea europaea L.) cultivars

Olive (Olea europaea L.), one of the main crops in the Mediterranean basin, is mainly propagated by cuttings, a classical propagation method that relies on the ability of the cuttings to form adventitious roots. While some cultivars are easily propagated by this technique, some of the most interesting olive cultivars are considered difficult-to-root which poses a challenge for their preservation and commercialization. Therefore, increasing the current knowledge on adventitious root formation is extremely important for species like olive. This research focuses on evaluating the role of free auxins and oxidative enzymes on adventitious root formation of two olive cultivars with different rooting ability - ‘Galega vulgar’ (difficult-to-root) and ‘Cobrançosa’ (easy-to-root). In this context, free auxin levels and enzyme activities were determined in in vitro-cultured ‘Galega vulgar’ microshoots and in semi-hardwood cuttings of cvs. ‘Galega vulgar’ and ‘Cobrançosa’. To attain this goal, an analytical method for the quantification of free indole-3-acetic acid (IAA) and indole-3-butyric acid (IBA) was developed, which is based on dispersive liquid-liquid microextraction followed by microwave derivatization (DLLME-MAD) and gas chromatography-mass spectrometry (GC/MS) analysis. The developed method was validated in terms of linearity, recovery, limit of detection (LOD) and limit of quantification (LOQ) and proved to be useful in the analysis of two very different types of plant tissues. The results from auxin quantification in olive samples point at a relationship between free auxin levels and rooting ability of both microshoots and semihardwood cuttings. A defective IBA-IAA conversion, resulting in a peak of free IAA during initiation phase, seems to be associated with low rooting ability. Likewise, differences in the activity of oxidative enzymes also appear to be related with rooting ability. Higher polyphenol oxidases (PPO) activity is likely related with an easyto- root behavior, while the opposite is true for peroxidases (POX) (including IAA oxidase (IAAox)) activity. A possible hypothesis for adventitious root formation in olive microcuttings is presented herein for the first time. Free auxins, oxidative enzymes, alternative oxidase (AOX) and reactive oxygen species (ROS) are some of the factors that may be involved in this highly complex physiological process. Interestingly, while temporal changes in auxin levels were similar between microshoots and semihardwood cuttings, the conclusions obtained from enzyme activity results in microshoots didn’t translate to semi-hardwood tissues, showing the emerging need for adaptation of classical agronomical research studies to modern techniques; Resumo: Procurando compreender o papel das auxinas e enzimas oxidativas na formação de raízes adventícias em cultivares de oliveira (Olea europaea L.) A oliveira (Olea europaea L.) é uma das principais culturas da bacia Mediterrânica e é propagada maioritariamente por estacaria, um processo altamente dependente da capacidade das estacas para formar raízes adventícias. Enquanto algumas cultivares são fáceis de propagar desta forma, algumas das cultivares de oliveira mais interessantes são consideradas difíceis de enraizar, o que dificulta a sua preservação e comercialização e torna extremamente importante aprofundar o conhecimento sobre o enraizamento adventício desta espécie. Este trabalho foca-se na avaliação do papel das auxinas livres e das enzimas oxidativas na formação de raízes adventícias em duas cultivares de oliveira com diferente capacidade de enraizamento - ‘Galega vulgar’ (difícil de enraizar) e ‘Cobrançosa’ (fácil de enraizar). Neste contexto, determinaram-se os níveis de auxinas livres e as actividades de enzimas oxidativas em microestacas de ‘Galega vulgar’ cultivadas in vitro bem como em estacas semi-lenhosas das cvs. ‘Galega vulgar’ e ‘Cobrançosa’. Para tal foi necessário desenvolver uma metodologia analítica para a quantificação de ácido indol-3-acético (IAA) e ácido indol-3-butírico (IBA), baseada em microextracção dispersiva líquido-líquido (DLLME) seguida de derivatização em microondas (MAD) e análise por cromatografia gasosa acoplada a espectrometria de massa (GC/MS). O método desenvolvido foi validado em termos de linearidade, recuperação, limite de detecção (LOD) e limite de quantificação (LOQ), e mostrou-se eficaz na análise de dois tipos de tecidos vegetais bastante diferentes. Os resultados da análise de auxinas em amostras de oliveira apontam para uma possível relação entre os níveis de auxinas livres e a capacidade de enraizamento, tanto em microestacas como em estacas semi-lenhosas. Uma conversão IBA-IAA deficiente, que resulta num pico de IAA durante a fase de iniciação, parece estar associada à baixa capacidade de enraizamento. Por outro lado, a capacidade de enraizamento também parece estar relacionada com diferenças na actividade de enzimas oxidativas. Comportamentos fáceis de enraizar estão associados a actividade mais elevada das polifenoloxidases (PPO), enquanto o oposto é verdade para a actividade das peroxidases (POX) (incluindo a IAA oxidase (IAAox)). Neste trabalho propõe-se pela primeira vez uma possível explicação para o enraizamento adventício em microestacas de oliveira. Auxinas livres, enzimas oxidativas, oxidase alternativa (AOX) e espécies reactivas de oxigénio (ROS) são alguns dos factores envolvidos neste processo fisiológico altamente complexo. Curiosamente, enquanto as alterações temporais nos níveis de auxinas foram semelhantes entre microestacas e estacas semi-lenhosas, o mesmo não se observou relativamente à actividade enzimática, o que mostra a necessidade de adaptação dos estudos agronómicos tradicionais às técnicas correntes.

Desenvolvimento de método para determinação de ferro e cobre em vinho por espectrofotometria empregando DLLME

Este trabalho propõe o desenvolvimento de métodos de preparo de amostra empregando a microextração líquido-líquido dispersiva (DLLME) para a extração e pré- concentração de Fe e Cu em vinho, seguido da determinação espectrofotométrica na região do ultravioleta-visível (UV-Vis). Nas extrações por DLLME, a complexação de Fe e Cu foi feita com pirrolidina ditiocarbamato de amônio (APDC) e dietilditiocarbamato de sódio (DDTC), respectivamente. Para a DLLME, foi usada uma mistura apropriada de pequenos volumes de dois solventes, um extrator e outro dispersor, a qual foi rapidamente injetada na amostra aquosa, ocorrendo à formação de uma dispersão e a extração praticamente instantânea dos analitos. Na otimização da DLLME para extração de Fe foram avaliados alguns parâmetros como, tipo de solvente extrator (C2Cl4, 80 µL) e dispersor (acetonitrila, 1300 µL) e seus volumes, pH (3,0), concentração do APDC (1%, m/v), adição de NaCl (0,02 mol L -1 ) e tempo de extração. Para extração de Cu foi aplicado um planejamento fatorial completo 25 para avaliar a influência de cinco variáveis independentes: volume dos solventes dispersor (acetonitrila, 1600 µL) e extrator (CCl4, 60 µL), concentração de DDTC (2%, m/v), pH (3,0) e concentração de NaCl. Após a otimização das condições para Fe, a curva de calibração com adição de analito foi linear entre 0,2 e 2,5 mg L-1 para vinho branco (R2 = 0,9985) e para vinho tinto (R2 = 0,9988). Para Cu, a curva de calibração com adição de analito foi linear entre 0,05 e 1,0 mg L-1 para vinho branco (R2 = 0,9995) e para vinho tinto (R2 = 0,9986). Os limites de quantificação foram de 0,75 e 0,37 mg L-1 para Fe e Cu, respectivamente. A exatidão foi avaliada utilizando ensaio de recuperação, as quais variaram entre 96% e 112%, com desvio padrão relativo inferior a 8%. Os métodos foram aplicados para 5 amostras de vinho branco e 5 amostras de vinho tinto, obtendo-se concentrações entre 1,3 e 5,3 e entre 2,5 e 4,4 mg L-1 para Fe e entre 0,4 e 1,5 e entre 0,9 e 2,5 mg L-1 para Cu, respectivamente. Os métodos desenvolvidos para a extração e pré-concentração de Fe e Cu em vinhos por DLLME e quantificação por UV-Vis mostraram-se adequados, em termos de linearidade, exatidão e precisão.

Desenvolvimento de método empregando DLLME para extração e pré-concentração de ferro em amostras de água com diferentes salinidades

Neste trabalho foi desenvolvido e validado um método analítico para a determinação de Fe total em amostras de água com diferentes salinidades empregando a microextração líquido-líquido dispersiva (DLLME), seguido de determinação espectrofotométrica na região do ultravioleta-visível. Nas extrações por DLLME, o Fe foi complexado com pirrolidina ditiocarbamato de amônio (APDC) e extraído após a injeção de uma mistura composta de 1,2-diclorobenzeno (solvente extrator) e etanol (solvente dispersor). Os fatores que influenciam a eficiência de extração (tipo e volume de solvente extrator e dispersor, concentração de APDC e tempo de extração) e subsequente determinação espectrofotométrica foram otimizados. Após otimização das condições, a curva de calibração foi linear entre 0,02 e 2,0 mg L-1 (r 2 = 0,9998) e os limites de detecção e quantificação do método foram de 6,1 e 18,3 µg L-1 , respectivamente. O fator de pré-concentração foi de 3,3. A exatidão foi avaliada em termos de recuperação, com variação entre 90 e 102% e desvio padrão relativo (RSD) inferiores a 12%. A exatidão do método também foi avaliada utilizando um material de referência certificado (SRM 1643e, Elementos Traço em Água), o qual apresentou concordância de 104% e RSD de 5%. O método foi aplicado para amostras de água com diferentes salinidades, como água mineral, estuarina e de alto mar. Além disso, o método proposto apresentou concordância da ordem de 95%, quando comparado com o método 1,10-fenantrolina para a determinação de Fe total.