877 resultados para High Performance liquid chromatography coupled with mass spectrometry (LC-MS)
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Reactive oxygen species are generated during ischaemia-reperfusion of tissue. Oxidation of thymidine by hydroxyl radicals (HO) leads to the formation of 5,6-dihydroxy-5,6-dihydrothymidine (thymidine glycol). Thymidine glycol is excreted in urine and can be used as biomarker of oxidative DNA damage. Time dependent changes in urinary excretion rates of thymidine glycol were determined in six patients after kidney transplantation and in six healthy controls. A new analytical method was developed involving affinity chromatography and subsequent reverse-phase high-performance liquid chromatography (RP-HPLC) with a post-column chemical reaction detector and endpoint fluorescence detection. The detection limit of this fluorimetric assay was 1.6 ng thymidine glycol per ml urine, which corresponds to about half of the physiological excretion level in healthy control persons. After kidney transplantation the urinary excretion rate of thymidine glycol increased gradually reaching a maximum around 48 h. The excretion rate remained elevated until the end of the observation period of 10 days. Severe proteinuria with an excretion rate of up to 7.2 g of total protein per mmol creatinine was also observed immediately after transplantation and declined within the first 24 h of allograft function (0.35 + 0.26 g/mmol creatinine). The protein excretion pattern, based on separation of urinary proteins on sodium dodecyl sulphate-polyacrylamide gel electrophorosis (SDS-PAGE), as well as excretion of individual biomarker proteins, indicated nonselective glomerular and tubular damage. The increased excretion of thymidine glycol after kidney transplantation may be explained by ischaemia-reperfusion induced oxidative DNA damage of the transplanted kidney.
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We investigated whether polymorphisms in PTHR1 are associated with bone mineral density (BMD), to determine whether the association of this gene with BMD was due to effects on attainment of peak bone mass or effects on subsequent bone loss. The PTHR1 gene, including its 14 exons, their exon-intron boundaries, and 1,500 bp of its promoter region, was screened for polymorphisms by denaturing high-performance liquid chromatography (dHPLC) and sequencing in 36 osteoporotic cases. Eleven single-nucleotide polymorphisms (SNPs), one tetranucleotide repeat, and one tetranucleotide deletion were identified. A cohort of 634 families, including 1,236 men (39%) and 1,926 women (61%) ascertained with probands with low BMD (Z< -2.0) and the Children in Focus subset of the Avon Longitudinal Study of Parents and Children (ALSPAC) cohort (785 unrelated individuals, mean age 118 months), were genotyped for the five most informative SNPs (minor allele frequency >5%) and the tetranucleotide repeat. In our osteoporosis families, association was noted between lumbar spine BMD and alleles of a known functional tetranucleotide repeat (U4) in the PTHR1 promoter region (P = 0.042) and between two and three marker haplotypes of PTHR1 polymorphisms with lumbar spine, femoral neck, and total hip BMD (P = 0.021-0.047). This association was restricted to the youngest tertile of the population (age 16-39 years, P = 0.013-0.048). A similar association was found for the ALSPAC cohort: two marker haplotypes of SNPs A48609T and C52813T were associated with height (P = 0.006) and total body less head BMD (P = 0.02), corrected for age and gender, confirming the family findings. These findings suggest a role for PTHR1 variation in determining peak BMD.
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Scientists have injected endotoxin into animals to investigate and understand various pathologies and novel therapies for several decades. Recent observations have shown that there is selective susceptibility to Escherichia coli lipopolysaccharide (LPS) endotoxin in sheep, despite having similar breed characteristics. The reason behind this difference is unknown, and has prompted studies aiming to explain the variation by proteogenomic characterisation of circulating acute phase biomarkers. It is hypothesised that genetic trait, biochemical, immunological and inflammation marker patterns contribute in defining and predicting mammalian response to LPS. This review discusses the effects of endotoxin and host responses, genetic basis of innate defences, activation of the acute phase response (APR) following experimental LPS challenge, and the current approaches employed in detecting novel biomarkers including acute phase proteins (APP) and micro-ribonucleic acids (miRNAs) in serum or plasma. miRNAs are novel targets for elucidating molecular mechanisms of disease because of their differential expression during pathological, and in healthy states. Changes in miRNA profiles during a disease challenge may be reflected in plasma. Studies show that gel-based two-dimensional electrophoresis (2-DE) coupled with either matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry (MALDI-TOF MS) or liquid chromatography-mass spectrometry (LC-MS/MS) are currently the most used methods for proteome characterisation. Further evidence suggests that proteomic investigations are preferentially shifting from 2-DE to non-gel based LC-MS/MS coupled with data extraction by sequential window acquisition of all theoretical fragment-ion spectra (SWATH) approaches that are able to identify a wider range of proteins. Enzyme-linked immunosorbent assay (ELISA), quantitative real-time polymerase chain reaction (qRT-PCR), and most recently proteomic methods have been used to quantify low abundance proteins such as cytokines. qRT-PCR and next generation sequencing (NGS) are used for the characterisation of miRNA. Proteogenomic approaches for detecting APP and novel miRNA profiling are essential in understanding the selective resistance to endotoxin in sheep. The results of these methods could help in understanding similar pathology in humans. It might also be helpful in the development of physiological and diagnostic screening assays for determining experimental inclusion and endpoints, and in clinical trials in future
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Introduction and Aims: Holiday periods are potentially a time for increased substance use as social events and private parties are more common. Data on community illicit drug consumption during holiday periods are limited. Besides existing methods for determining drug use, such as population surveys, one emerging method is to measure illicit drugs and/or their metabolites in wastewater samples. This study examined the change in consumption of cannabis, methamphetamine, cocaine and 3,4- methylenedioxymethamphetamine in three different types of areas (an inland semi-rural area, a coastal urban area and a vacation island) with respect to holiday times. Design and Methods: Samples were collected at the inlet of the major wastewater treatment plant in each area during a key annual holiday (i.e. the summer holiday including Christmas and New Year) and control period. Illicit drug residues in the daily composited samples were measured by liquid chromatography coupled with tandem mass spectrometry. Results: Drug use varied substantially among the three areas within each monitoring period as well as between the holiday and control period within each area. Use consistently increased and peaked over New Year particularly for cocaine and 3,4-methylenedioxymethamphetamine whereas cannabis and methamphetamine were relatively less subjected to holiday times in all the areas. Discussion and Conclusions: Wastewater sampling and analysis provides higher spatio-temporal resolution than national surveys and supplements drug epidemiology studies originating primary in metropolitan locations. Such data is essential for policy makers to plan potential intervention strategies associated with these illicit substances in regional areas and other settings besides urban areas in the future.
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The measurement of illicit drug metabolites in raw wastewater is increasingly being adopted as an approach to objectively monitor population-level drug use, and is an effective complement to traditional epidemiological methods. As such, it has been widely applied in western countries. In this study, we utilised this approach to assess drug use patterns over nine days during April 2011 in Hong Kong. Raw wastewater samples were collected from the largest wastewater treatment plant serving a community of approximately 3.5 million people and analysed for excreted drug residues including cocaine, ketamine, methamphetamine, 3,4-methylenedioxymethamphetamine (MDMA) and key metabolites using liquid chromatography coupled with tandem mass spectrometry. The overall drug use pattern determined by wastewater analysis was consistent with that have seen amongst people coming into contact with services in relation to substance use; among our target drugs, ketamine (estimated consumption: 1400–1600 mg/day/1000 people) was the predominant drug followed by methamphetamine (180–200 mg/day/1000 people), cocaine (160–180 mg/day/1000 people) and MDMA (not detected). The levels of these drugs were relatively steady throughout the monitoring period. Analysing samples at higher temporal resolution provided data on diurnal variations of drug residue loads. Elevated ratios of cocaine to benzoylecgonine were identified unexpectedly in three samples during the evening and night, providing evidence for potential dumping events of cocaine. This study provides the first application of wastewater analysis to quantitatively evaluate daily drug use in an Asian metropolitan community. Our data reinforces the benefit of wastewater monitoring to health and law enforcement authorities for strategic planning and evaluation of drug intervention strategies.
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Natural products constitute an important source of new drugs. The bioavailability of the drugs depends on their absorption, distribution, metabolism and elimination. To achieve good bioavailability, the drug must be soluble in water, stable in the gastrointestinal tract and palatable. Binding proteins may improve the solubility of drug compounds, masking unwanted properties, such as bad taste, bitterness or toxicity, transporting or protecting these compounds during processing and storage. The focus of this thesis was to study the interactions, including ligand binding and the effect of pH and temperature, of bovine and reindeer β-lactoglobulin (βLG) with such compounds as retinoids, phenolic compounds as well as with compounds from plant extracts, and to investigate the transport properties of the βLG-ligand complex. To examine the binding interactions of different ligands to βLG, new methods were developed. The fluorescence binding method for the evaluation of ligand binding to βLG was miniaturized from a quartz cell to a 96-well plate. A method of ultrafiltration sampling combined with high-performance liquid chromatography was developed to assess the binding of compounds from extracts. The interactions of phenolic compounds or retinoids and βLG were investigated using the 96-well plate method. The majority of flavones, flavonols, flavanones and isoflavones and all of the retinoids included were shown to bind to bovine and reindeer βLG. Phenolic compounds, contrary to retinol, were not released at acidic pH. Those results suggest that βLG may have more binding sites, probably also on the surface of βLG. An extract from Camellia sinensis (L.) O. Kunze (black tea), Urtica dioica L. (nettle) and Piper nigrum (black pepper) were used to evaluate whether βLG could bind compounds from plant extracts. Piperine from P. nigrum was found to bind tightly and rutin from U. dioica weakly to βLG. No components from C. sinensis bound to βLG in our experiment. The uptake and membrane permeation of bovine and reindeer βLG, free and bound with retinol, palmitic acid and cholesterol, were investigated using Caco-2 cell monolayers. Both bovine and reindeer βLG were able to cross the Caco-2 cell membrane. Free and βLG-bound retinol and palmitic acid were transported equally, whereas cholesterol could not cross the Caco-2 cell monolayer free or bound to βLG. Our results showed that βLG can bind different natural product compounds, but cannot enhance transport of retinol, palmitic acid or cholesterol through Caco-2 cells. Despite this, βLG, as a water-soluble binding protein, may improve the solubility of natural compounds, possibly protecting them from early degradation and transporting some of them through the stomach. Furthermore, it may decrease their bad or bitter taste during oral administration of drugs or in food preparations. βLG can also enhance or decrease the health benefits of herbal teas and food preparations by binding compounds from extracts.
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Drug Analysis without Primary Reference Standards: Application of LC-TOFMS and LC-CLND to Biofluids and Seized Material Primary reference standards for new drugs, metabolites, designer drugs or rare substances may not be obtainable within a reasonable period of time or their availability may also be hindered by extensive administrative requirements. Standards are usually costly and may have a limited shelf life. Finally, many compounds are not available commercially and sometimes not at all. A new approach within forensic and clinical drug analysis involves substance identification based on accurate mass measurement by liquid chromatography coupled with time-of-flight mass spectrometry (LC-TOFMS) and quantification by LC coupled with chemiluminescence nitrogen detection (LC-CLND) possessing equimolar response to nitrogen. Formula-based identification relies on the fact that the accurate mass of an ion from a chemical compound corresponds to the elemental composition of that compound. Single-calibrant nitrogen based quantification is feasible with a nitrogen-specific detector since approximately 90% of drugs contain nitrogen. A method was developed for toxicological drug screening in 1 ml urine samples by LC-TOFMS. A large target database of exact monoisotopic masses was constructed, representing the elemental formulae of reference drugs and their metabolites. Identification was based on matching the sample component s measured parameters with those in the database, including accurate mass and retention time, if available. In addition, an algorithm for isotopic pattern match (SigmaFit) was applied. Differences in ion abundance in urine extracts did not affect the mass accuracy or the SigmaFit values. For routine screening practice, a mass tolerance of 10 ppm and a SigmaFit tolerance of 0.03 were established. Seized street drug samples were analysed instantly by LC-TOFMS and LC-CLND, using a dilute and shoot approach. In the quantitative analysis of amphetamine, heroin and cocaine findings, the mean relative difference between the results of LC-CLND and the reference methods was only 11%. In blood specimens, liquid-liquid extraction recoveries for basic lipophilic drugs were first established and the validity of the generic extraction recovery-corrected single-calibrant LC-CLND was then verified with proficiency test samples. The mean accuracy was 24% and 17% for plasma and whole blood samples, respectively, all results falling within the confidence range of the reference concentrations. Further, metabolic ratios for the opioid drug tramadol were determined in a pharmacogenetic study setting. Extraction recovery estimation, based on model compounds with similar physicochemical characteristics, produced clinically feasible results without reference standards.
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Wastewater analysis was used to examine prevalence and temporal trends in the use of two cathinones, methylone and mephedrone, in an urban population (>200,000 people) in South East Queensland, Australia. Wastewater samples were collected from the inlet of the sewage treatment plant that serviced the catchment from 2011 to 2013. Liquid chromatography coupled with tandem mass spectrometry was used to measure mephedrone and methylone in wastewater sample using direct injection mode. Mephedrone was not detected in any samples while methylone was detected in 45% of the samples. Daily mass loads of methylone were normalized to the population and used to evaluate methylone use in the catchment. Methylone mass loads peaked in 2012 but there was no clear temporal trend over the monitoring period. The prevalence of methylone use in the catchment was associated with the use of MDMA, the more popular analogue of methylone, as indicated by other complementary sources. Methylone use was stable in the study catchment during the monitoring period whereas mephedrone use has been declining after its peak in 2010. More research is needed on the pharmacokinetics of emerging illicit drugs to improve the applicability of wastewater analysis in monitoring their use in the population.
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The mechanism of interaction of 0-amino-D-serine (OADS) with sheep liver serine hydroxymethyltransferase (EC 2.1.2.1) (SHMT) was established by measuring changes in the enzyme activity,absorption spectra, circular dichroism (CD) spectra, and stopped-flow spectrophotometry. OADS was a reversible noncompetitive inhibitor (Ki = 1.8 pM) when serine was the varied substrate. The first step in the interaction of OADS with the enzyme was the disruption of enzyme-Schiff base, characterized by the rapid disappearance of absorbance at 425 nm (6.5 X lo3 M-' s-') and CD intensity at 430 nm. Concomitantly,there was a rapid increase in absorbance and CD intensity at 390 nm. The spectral properties of this intermediate enabled its identification as pyridoxal 5'-phosphate (PLP). These changes were followed by a slow unimolecular step (2 X s-') leading to the formation of PLP-OADS oxime, which was confirmed by its absorbance and fluorescence spectra and retention time on high-performance liquid chromatography. The PLP-OADS oxime was displaced from the enzyme by the addition of PLP as evidenced by the restoration of complete enzyme activity as well as by the spectral properties. The unique feature of the mechanism proposed for the interaction of OADS with sheep liver SHMT was the formation of PLP as an intermediate.
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The mechanism of interaction of methoxyamine with sheep liver serine hydroxymethyltransferase (EC 2.1.2.1) (SHMT) was established by measuring changes in enzyme activity, visible absorption spectra, circular dichroism and fluorescence, and by evaluating the rate constant by stopped-flow spectrophotometry. Methoxyamine can be considered as the smallest substituted aminooxy derivative of hydroxylamine. It was a reversible noncompetitive inhibitor (Ki = 25 microM) of SHMT similar to O-amino-D-serine. Like in the interaction of O-amino-D-serine and aminooxyacetic acid, the first step in the reaction was very fast. This was evident by the rapid disappearance of the enzyme-Schiff base absorbance at 425 nm with a rate constant of 1.3 x 10(3) M-1 sec-1 and CD intensity at 430 nm. Concomitantly, there was an increase in absorbance at 388 nm (intermediate I). The next step in the reaction was the unimolecular conversion (1.1 x 10(-3) sec-1) of this intermediate to the final oxime absorbing at 325 nm. The identity of the oxime was established by its characteristic fluorescence emission at 460 nm when excited at 360 nm and by high performance liquid chromatography. These results highlight the specificity in interactions of aminooxy compounds with sheep liver serine hydroxymethyltransferase and that the carboxyl group of the inhibitors enhances the rate of the initial interaction with the enzyme.
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Degradation of dimethoate under UV irradiation using TiO2/polymer films prepared by the layer-by-layer (LbL) method was investigated. The thin films were fabricated on glass slides and the surface morphology and roughness of the thin films were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM) and atomic force microscopy (AFM). The effect of lamp intensity, catalyst loading in the layers, number of bilayers, pH and initial dimethoate concentration on the degradation of dimethoate was systematically studied. The degradation was monitored using high performance liquid chromatography (HPLC) analysis and total organic carbon (TOC) measurements as a function of irradiation time, to see the change in concentration of dimethoate and mineralization, respectively. Complete degradation of dimethoate was achieved under TiO2 optimum loading of 4 g/L at an UV irradiation time of 180 min. Increase in the lamp intensity, catalyst loading and number of bilayers increased the rate of degradation. At a pH of 4.62, complete degradation of dimethoate was observed. The degradation efficiency decreased with increase in initial dimethoate concentration. The degradation byproducts were analyzed and confirmed by gas chromatography-mass spectra (GC-MS). Toxicity of the irradiated samples was measured using the luminescence of bacteria Vibrio fischeri after 30 min of incubation and the results showed more toxicity than the parent compound. Catalyst reusability studies revealed that the fabricated thin films could be repeatedly used for up to ten times without affecting the photocatalytic activity of the films. The findings of the present study are very useful for the treatment of wastewaters contaminated with pesticides. (C) 2011 Elsevier B.V. All rights reserved.
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The present study examines an improved detoxification and rapid biological degradation of toxic pollutant acrylamide using a bacterium. The acrylamide degrading bacterium was isolated from the soil followed by its screening to know the acrylamide degrading capability. The minimal medium containing acrylamide (30 mM) served as a sole source of carbon and nitrogen for their active growth. The optimization of three different factors was analyzed by using Response Surface Methodology (RSM). The bacteria actively degraded the acrylamide at a temperature of 32 degrees C, with a maximum growth at 30 mM substrate (acrylamide) concentration at a pH of 7.2. The acrylamidase activity and degradation of acrylamide was determined by High Performance Liquid Chromatography (HPLC) and Matrix Assisted Laser Desorption and Ionization Time of Flight mass spectrometer (MALDI-TOF). Based on 168 rRNA analysis the selected strain was identified as Gram negative bacilli Stenotrophomonas acidaminiphila MSU12. The acrylamidase was isolated from bacterial extract and was purified by HPLC, whose mass spectrum showed a molecular mass of 38 kDa. (C) 2014 Elsevier Ltd. All rights reserved.
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O Leito Móvel Simulado (LMS) é um processo de separação de compostos por adsorção muito eficiente, por trabalhar em um regime contínuo e também possuir fluxo contracorrente da fase sólida. Dentre as diversas aplicações, este processo tem se destacado na resolução de petroquímicos e principalmente na atualidade na separação de misturas racêmicas que são separações de um grau elevado de dificuldade. Neste trabalho foram propostas duas novas abordagens na modelagem do LMS, a abordagem Stepwise e a abordagem Front Velocity. Na modelagem Stepwise as colunas cromatográficas do LMS foram modeladas com uma abordagem discreta, onde cada uma delas teve seu domínio dividido em N células de mistura interligadas em série, e as concentrações dos compostos nas fases líquida e sólida foram simuladas usando duas cinéticas de transferência de massa distintas. Essa abordagem pressupõe que as interações decorrentes da transferência de massa entre as moléculas do composto nas suas fases líquida e sólida ocorram somente na superfície, de forma que com essa suposição pode-se admitir que o volume ocupado por cada molécula nas fases sólida e líquida é o mesmo, o que implica que o fator de residência pode ser considerado igual a constante de equilíbrio. Para descrever a transferência de massa que ocorre no processo cromatográfico a abordagem Front Velocity estabelece que a convecção é a fase dominante no transporte de soluto ao longo da coluna cromatográfica. O Front Velocity é um modelo discreto (etapas) em que a vazão determina o avanço da fase líquida ao longo da coluna. As etapas são: avanço da fase líquida e posterior transporte de massa entre as fases líquida e sólida, este último no mesmo intervalo de tempo. Desta forma, o fluxo volumétrico experimental é utilizado para a discretização dos volumes de controle que se deslocam ao longo da coluna porosa com a mesma velocidade da fase líquida. A transferência de massa foi representada por dois mecanismos cinéticos distintos, sem (tipo linear) e com capacidade máxima de adsorção (tipo Langmuir). Ambas as abordagens propostas foram estudadas e avaliadas mediante a comparação com dados experimentais de separação em LMS do anestésico cetamina e, posteriormente, com o fármaco Verapamil. Também foram comparados com as simulações do modelo de equilíbrio dispersivo para o caso da Cetamina, usado por Santos (2004), e para o caso do Verapamil (Perna 2013). Na etapa de caracterização da coluna cromatográfica as novas abordagens foram associadas à ferramenta inversa R2W de forma a determinar os parâmetros globais de transferência de massa apenas usando os tempos experimentais de residência de cada enantiômero na coluna de cromatografia líquida de alta eficiência (CLAE). Na segunda etapa os modelos cinéticos desenvolvidos nas abordagens foram aplicados nas colunas do LMS com os valores determinados na caracterização da coluna cromatográfica, para a simulação do processo de separação contínua. Os resultados das simulações mostram boa concordância entre as duas abordagens propostas e os experimentos de pulso para a caracterização da coluna na separação enantiomérica da cetamina ao longo do tempo. As simulações da separação em LMS, tanto do Verapamil quando da Cetamina apresentam uma discrepância com os dados experimentais nos primeiros ciclos, entretanto após esses ciclos iniciais a correlação entre os dados experimentais e as simulações. Para o caso da separação da cetamina (Santos, 2004), a qual a concentração da alimentação era relativamente baixa, os modelos foram capazes de predizer o processo de separação com as cinéticas Linear e Langmuir. No caso da separação do Verapamil (Perna, 2013), onde a concentração da alimentação é relativamente alta, somente a cinética de Langmuir representou o processo, devido a cinética Linear não representar a saturação das colunas cromatográficas. De acordo como o estudo conduzido ambas as abordagens propostas mostraram-se ferramentas com potencial na predição do comportamento cromatográfico de uma amostra em um experimento de pulso, assim como na simulação da separação de um composto no LMS, apesar das pequenas discrepâncias apresentadas nos primeiros ciclos de trabalho do LMS. Além disso, podem ser facilmente implementadas e aplicadas na análise do processo, pois requer um baixo número de parâmetros e são constituídas de equações diferenciais ordinárias.
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O objetivo deste trabalho foi estabelecer um modelo empregando-se ferramentas de regressão multivariada para a previsão do teor em ésteres metílicos e, simultaneamente, de propriedades físico-químicas de misturas de óleo de soja e biodiesel de soja. O modelo foi proposto a partir da correlação das propriedades de interesse com os espectros de reflectância total atenuada no infravermelho médio das misturas. Para a determinação dos teores de ésteres metílicos foi utilizada a cromatografia líquida de alta eficiência (HPLC), podendo esta ser uma técnica alternativa aos método de referência que utilizam a cromatografia em fase gasosa (EN 14103 e EN 14105). As propriedades físico-químicas selecionadas foram índice de refração, massa específica e viscosidade. Para o estudo, foram preparadas 11 misturas com diferentes proporções de biodiesel de soja e de óleo de soja (0-100 % em massa de biodiesel de soja), em quintuplicata, totalizando 55 amostras. A região do infravermelho estudada foi a faixa de 3801 a 650 cm-1. Os espectros foram submetidos aos pré-tratamentos de correção de sinal multiplicativo (MSC) e, em seguida, à centralização na média (MC). As propriedades de interesse foram submetidas ao autoescalamento. Em seguida foi aplicada análise de componentes principais (PCA) com a finalidade de reduzir a dimensionalidade dos dados e detectar a presença de valores anômalos. Quando estes foram detectados, a amostra era descartada. Os dados originais foram submetidos ao algoritmo de Kennard-Stone dividindo-os em um conjunto de calibração, para a construção do modelo, e um conjunto de validação, para verificar a sua confiabilidade. Os resultados mostraram que o modelo proposto por PLS2 (Mínimos Quadrados Parciais) foi capaz de se ajustar bem os dados de índice de refração e de massa específica, podendo ser observado um comportamento aleatório dos erros, indicando a presença de homocedasticidade nos valores residuais, em outras palavras, o modelo construído apresentou uma capacidade de previsão para as propriedades de massa específica e índice de refração com 95% de confiança. A exatidão do modelo foi também avaliada através da estimativa dos parâmetros de regressão que são a inclinação e o intercepto pela Região Conjunta da Elipse de Confiança (EJCR). Os resultados confirmaram que o modelo MIR-PLS desenvolvido foi capaz de prever, simultaneamente, as propriedades índice de refração e massa específica. Para os teores de éteres metílicos determinados por HPLC, foi também desenvolvido um modelo MIR-PLS para correlacionar estes valores com os espectros de MIR, porém a qualidade do ajuste não foi tão boa. Apesar disso, foi possível mostrar que os dados podem ser modelados e correlacionados com os espectros de infravermelho utilizando calibração multivariada
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水母雪莲(Saussurea medusa Maxim.)和新疆雪莲(Saussurea involucrata Karel. et Kir.)是我国珍稀的药用植物资源,具有清热解毒、止痉镇痛、敛伤、消肿及治疗热病、风湿等多种功效。雪莲的主要药用成份为紫丁香甙(Syringin)、芦丁(Rutin)、高车前素(Hispidulin)和Jaceosidin等苯基丙酸类(phenylpropanoid)和黄酮类(flavonoids)物质。最新的药理研究表明,上述物质还具有抗菌消炎、保肝降压、延缓衰老和抑制癌细胞增殖等重要的研发价值。 雪莲生境恶劣,生长缓慢,人工引种困难,加上长期掠夺性采挖,已使雪莲处于灭绝的边缘。为了保存国家珍稀植物品种,保护生态环境,满足临床上对雪莲药物的需求,本研究在雪莲组织培养的基础上,应用诱导子添加技术和毛状根培养技术对雪莲中具有重要药用价值的次生代谢物质进行调控,并对雪莲MYB类转录因子的功能进行了初步探索,为保护珍稀植物资源、维护生态环境、开发野生雪莲替代产品、缩短雪莲药用成份的生产周期奠定了基础。另外,分析了野生雪莲和雪莲培养物中主要生物活性成份的种类及含量,为今后雪莲药理药效研究及品质评价奠定了基础。 为了提高雪莲黄酮的产量,满足工业化生产的需要,在细胞培养水平上,通过添加茉莉酸甲酯(MJ),对雪莲黄酮类物质的代谢进行调控。研究了诱导子的添加时间、添加浓度对水母雪莲红色系悬浮细胞的生物量和总黄酮产量的影响。发现在细胞培养的指数期(第9天)添加5.0 µmol/L的MJ,可以使总黄酮产量提高2.4倍(1134.5 ± 63.86 mg/L),而雪莲细胞干重(dw)仅比对照提高23.8 %(20.4 ±0.27 g/L)。另外,细胞中苯丙氨酸裂解酶(PAL)的活性分析表明,MJ添加后PAL活性的增加与雪莲总黄酮含量增长之间存在相关性。 在器官培养水平上,对雪莲毛状根的诱导频率及其培养条件进行了研究。结果表明,选择发根农杆菌R1601侵染预培养2天的新疆雪莲根段外植体,毛状根的诱导效率可达到83 %。毛状根的冠瘿碱检测、PCR和Southern分析表明,Ri质粒中的T-DNA已整合到植物基因组中并稳定表达。以新疆雪莲毛状根为外植体,能够容易地获得再生芽。在含有1.0 mg/L 6-BA的MS固体培养基上,其再生频率高达91 ± 5.9 %,是其正常根的2.4倍。而水母雪莲在该培养条件下,仅有少量的畸形芽出现。进而对毛状根的培养条件进行初步研究,结果表明在无激素附加的MS液体培养基中,新疆雪莲的HR1601根系在一个培养周期内(32 天),其生物量能够达到接种量的16倍,而紫丁香甙含量(43.5 ± 1.13 mg/g dw)能够达到野生雪莲的83倍。从而显示了雪莲毛状根培养体系的优良特性。 在基因水平上,对雪莲黄酮类物质代谢调控的研究已经展开。玉米P基因编码的Myb类转录因子能够调节黄酮类物质代谢途径关键酶基因的表达。根据P基因的保守序列设计引物,从雪莲细胞培养物中获得了SmP基因。核酸序列分析表明,SmP基因与烟草中涉及苯丙素类物质代谢途径的LBM 1、LBM 3和MybAS 1基因具有较高的一致性,分别为66 %、60 %和61 %。因此为了研究雪莲SmP基因的功能,构建了正义表达载体,并与先前构建好的反义表达载体分别导入烟草,分析了转基因植株的形态特征及黄酮类物质的含量变化。其中,约有30 %转反义SmP基因的株系表现叶片皱缩、叶脉紊乱、主侧脉角度缩小、叶片、花瓣失去对称性以及花粉败育等性状。 另外,通过正交试验设计优化了雪莲提取工艺的条件,并对雪莲细胞提取物进行了分离纯化。正交试验设计结果表明,温度对雪莲黄酮提取效率的影响极为显著,而分批多次提取比一次性浸提,能够收到较好的提取效果。考虑到工业生产中的实际问题,推荐在60 ℃水浴条件下,采用50 %乙醇对雪莲样品连续浸提2次的方案。对雪莲提取物的纯化研究表明,雪莲成份复杂,仅依靠单一的分离手段,往往难以奏效。另外,野生雪莲及雪莲培养物中生物活性成份的比色法、HPLC(High Performance Liquid Chromatography)、LC-ESI-MS(Liquid Chromotagraphy Electrospray Ionization Mass Spectrometry)分析表明,传统的NaNO2-AlCl3 法测定雪莲总黄酮的含量,结果偏高,不利于雪莲黄酮的实验室研究分析与今后工业化生产的质量监控。而AlCl3 法的显色反应较为特异,今后有望取代NaNO2-AlCl3 法,作为雪莲类药材品质评价的标准。而HPLC-DAD结合LC-ESI-MS可以对雪莲中的主要生物活性成份进行较为准确的定性分析,从而解决了由于缺乏相应的雪莲化合物标准品而难以对雪莲中的成份进行定性定量分析及比较的难题。最后综合利用上述分析方法,对雪莲细胞培养物中的花素类物质进行了分析。结果表明,雪莲细胞中至少含有7种花色素类物质,分别为矢车菊素-3-O-葡萄糖甙及其衍生物、天竺葵素糖甙衍生物和芍药色素糖甙衍生物。