40 research outputs found

    A comparative study of the antimicrobial and antioxidant activities of Inonotus hispidus fruit and their mycelia extracts

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    Inonotus hispidus (Bull.) P. Karst. has been used as traditional medicine for the treatment of dyspepsia, cancer, and diabetes. Numerous studies have confirmed the antimicrobial, antiviral, antioxidant, anti-inflammatory, immunomodulatory, antiproliferative and cytotoxic biological activities of extracts from this species. The purpose of this study was a comparative analysis of the antioxidant and the antimicrobial activities of methanol extracts from fruit and liquid-cultured mycelia. Four compounds (N-butylbenzenesulfonamide, lauramidopropyl betaine, 3,5-di-tert-butyl-4-hydroxybenzaldehyde, and uplandicine), determined by hybrid HRMS, were found only in mycelia culture extracts. Free radical scavenging, measured by DPPH assay on methanol extracts, showed an activity of about 17.2% and 22.1% of Trolox in fruiting bodies and mycelia, respectively. The I. hispidus methanol extracts from fruit and mycelia culture were found to have varying degrees of antibacterial and antifungal effects against the pathogenic microorganisms tested (minimum inhibitory concentration from 0.17 to 2.56 ÎŒg mL−1)

    Adverse Reactions to Cosmetics

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    Effects of formulation conditions on micellar interactions and solution rheology in multi-component micellar systems

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    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, June 2011.Cataloged from PDF version of thesis. "June 2011."Includes bibliographical references (p. 98-100).Surfactants are crucial to the personal care industry due to their unique surface activity, cleansing, and self assembly properties. Typically, multi-component systems are used in order to maximize mildness, hard water tolerance, and foaming. System morphology and viscosity are controlled through chemistry and solution conditions. An experimental study was conducted to determine how variations in solution chemistry (surfactant headgroup and blend stoichiometry) and solution conditions (pH and [NaCl]: [anionic + zwitterionic surfactant] ratio) affect the structure and rheology of surfactant solutions. This study examined binary systems of Sodium Laureth Sulfate (SLES) and Lauramidopropyl Betaine (LAPB) or SLES and Lauramidopropyl Hydroxysultaine (LAPHS) as well as ternary systems of SLES/LAPB/PEG-80 Sorbitan Laurate (PEG-80 SL) and SLES/LAPB/Polysorbite-20 (Tween-20). Using dynamic light scattering and rheometic measurements, system morphology was determined. In the SLES/LAPB system, it was found that there was a break in system viscosity at a critical [NaCl]: [anionic + zwitterionic surfactant] ratio, 0.16:1 (R*). Micelles only had the ability to entangle, thus increasing viscosity, above this ratio. When the system pH decreased such that pH ~ pKa of LAPB, all [NaCl]:[anionic + zwitterionic surfactant] ratios had the ability to entangle, and entanglement began at lower surfactant concentrations. At these pH values, LAPB protonated and created a pseudo-ternary system with SLES, LAPB0 , and LAPB*. There was no measured variation in system morphology in the SLES/LAPHS system with [NaCl]: [anionic + zwitterionic surfactant] ratio, most likely because the minimum ratio achievable was above R* due to a high salt content in the raw materials. In addition, there was no measured variation in system morphology in the SLES/LAPHS system with variation in pH, most likely because the system was not tested at pH ~ pKa of LAPHS. The addition of a third surfactant drastically decreased the system viscosity and drove the system towards the formation of spherical micelles because the nonionic surfactant of choice decreased the packing parameter due to its relatively large size as compared to that of SLES and LAPB.by Leslie Sarah Nachbar.S.M

    Development and Application of Suspect and Nontarget Screening to Characterize Organic Micropollutants in Aquatic Environments of New York State

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    Organic micropollutants (OMPs) have presented a global challenge to water resources management due to concerns over their adverse impacts on aquatic biota and human health at low exposure concentrations (e.g., at ng/L to ÎŒg/L levels in aquatic systems). OMPs encompass an extensive array of synthetic organic compounds (e.g., pharmaceuticals, pesticides, personal care products, household chemicals, industrial additives) and their transformation products. My research has been centered around establishing analytical methods based on liquid chromatography-high-resolution mass spectrometry (LC-HRMS), with a focus on the development and application of suspect and nontarget screening workflows for the identification and prioritization of OMPs in inland lakes, streams, and urban wastewater in New York State. In Chapter 1, I collaborated with volunteers from the Citizens Statewide Lake Assessment Program and scientists at the Upstate Freshwater Institute to conduct the first statewide investigation of OMP occurrence in New York inland lakes. Through this project, I developed a suspect screening method based on LC-HRMS to identify and quantify 65 OMPs in 314 lake water samples collected by volunteers from 111 lakes, ponds, and reservoirs across the state. I also performed partial least squares regression and multiple linear regression analyses to prioritize total dissolved nitrogen, specific conductance, and a wastewater-derived fluorescent organic matter component as the best combination of explanatory predictors for the inter-lake variability in OMP occurrence patterns. I further applied the exposure-activity ratio approach to estimate the potential for biological effects associated with OMPs. My work demonstrated that engaging an established network of citizen volunteers offers a viable approach to increasing the spatiotemporal coverage of OMP monitoring while raising public awareness of their prevalence. In Chapter 2, I collaborated with Drs. Christa Kelleher and Rebecca Schewe to investigate the occurrence patterns of OMPs in streams draining mixed-use watersheds in central New York. I combined the use of polar organic chemical integrative samplers (POCIS) with suspect screening and nontarget screening based on LC-HRMS to identify and quantify 133 OMPs in samples collected from 20 stream sites over two sampling seasons. I also performed hierarchical clustering to establish the co-occurrence profiles of OMPs in connection with watershed attributes indicative of anthropogenic influences. I further evaluated the feasibility of deploying POCIS for estimating daily average loads of OMPs and their potential for biological effects in streams via screening-level risk assessments. My work supported the prospect of combining passive sampling with high-resolution accurate mass screening for the multi-watershed characterization of OMP contamination status in streams. In Chapter 3, I collaborated with colleagues from the School of Public Health to pursue one of the earliest wastewater-based epidemiology studies on population-level substance use during the COVID-19 pandemic. I developed and validated an online solid-phase extraction method for sample preconcentration before LC-HRMS analyses to achieve rapid screening of health and lifestyle-related substances in urban wastewater. I applied this method to quantify the levels of 26 pharmaceuticals and lifestyle chemicals in wastewater influent samples collected from six sewersheds in central New York over a period spanning the rising and falling of COVID-19 prevalence. I back-calculated the population-level consumption rates of antidepressants, antiepileptics, antihistamines, antihypertensives, and central nervous system stimulants and further identified their co-variation with disparities in household income, marital status, and/or age of the contributing populations as well as the detection frequency of SARS-CoV-2 RNA in wastewater and the COVID-19 test positivity within the sewersheds. My work highlighted the utility of high-throughput wastewater analysis for assessing substance use patterns during a public health crisis such as COVID-19

    AmĂ©lioration des techniques d’identification en spectromĂ©trie de masse et Ă©tude de la transformation de contaminants organiques

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    On comptait en 2020 plus de 350 000 composĂ©s organiques en circulation, dont un grand nombre mal dĂ©fini et dans des mĂ©langes chimiques complexes. Il y a un manque de connaissance majeur sur la prĂ©sence environnementale et la stabilitĂ© des contaminants organiques dans les milieux aquatiques et encore plus pour leurs produits de transformation (PTs) qui y sont formĂ©s. Les mĂ©thodes de monitoring de contaminants sont spĂ©cifiques Ă  quelques dizaines de composĂ©s et ne fournissent pas un tableau suffisant de la contamination. Les analyses non ciblĂ©es cherchent Ă  pallier ce problĂšme, mais obtenir une identification conclusive est complexe en raison de la taille limitĂ©e des banques de donnĂ©es et des faibles concentrations des contaminants. Les PTs sont particuliĂšrement difficiles Ă  Ă©lucider comme leur identitĂ© est gĂ©nĂ©ralement inconnue. Cette thĂšse en trois axes tente d’abord d’amĂ©liorer et dĂ©velopper des techniques et mĂ©thodes d’identification de contaminants organiques et de leurs PTs dans les eaux de surface. Puis, elle se penche sur l’identification des PTs stables de quatre contaminants organiques prĂ©occupants aprĂšs une exposition simulant la photolyse solaire pour ensuite les retrouver dans des Ă©chantillons environnementaux. Finalement, dans le troisiĂšme axe, on cherche Ă  identifier des PTs et des composĂ©s issus de mĂ©langes chimiques complexes directement depuis des Ă©chantillons d’eaux de surface sans avoir recours Ă  des Ă©tudes de dĂ©gradation de contaminants en laboratoire. Dans le premier axe, une mĂ©thode d’échange hydrogĂšne-deutĂ©rium permettant de distinguer des composĂ©s similaires a d’abord Ă©tĂ© dĂ©veloppĂ©e. Puis, un outil de gĂ©nĂ©ration de formules molĂ©culaires a Ă©tĂ© Ă©valuĂ© puis adaptĂ© Ă  des conditions environnementales ; il s’est avĂ©rĂ© supĂ©rieur aux autres mĂ©thodes avec lesquelles il a Ă©tĂ© comparĂ©. Finalement, un flux de travail non ciblĂ© a Ă©tĂ© dĂ©veloppĂ© avec des outils de correspondances de spectres de masse in silico et de rĂ©seaux molĂ©culaires. Plus de 250 contaminants ont Ă©tĂ© identifiĂ©s dans la riviĂšre Yamaska Ă  Granby dont plusieurs jamais reportĂ©s au Canada. Dans le deuxiĂšme axe, des PTs de quatre contaminants prĂ©occupants ont Ă©tĂ© gĂ©nĂ©rĂ©s puis identifiĂ©s en laboratoire avec les mĂ©thodes dĂ©veloppĂ©es dans l’axe 1. Ces PTs ont ensuiteii Ă©tĂ© recherchĂ©s et dĂ©tectĂ©s dans des Ă©chantillons rĂ©els. Dans le troisiĂšme axe, le flux de travail dĂ©veloppĂ© dans l’axe 1 a Ă©tĂ© amĂ©liorĂ© en incorporant des outils regroupant des spectres de masse en tandem similaires en rĂ©seaux. Cela a permis d’identifier plus de 400 contaminants. Plusieurs PTs de composĂ©s pharmaceutiques et de pesticides auparavant inconnus ont Ă©tĂ© identifiĂ©s ainsi que plus d’une centaine de congĂ©nĂšres d’additifs de produits de consommation. Ce flux rĂ©pond Ă  des besoins importants en analyse environnementale en ce qui a trait Ă  l’identification d’homologues et de produits de transformation divers. Cependant, les PTs des composĂ©s Ă©tudiĂ©s en laboratoires n’ont pas pu ĂȘtre identifiĂ©s directement par le flux de travail, soulignant l’importance des mĂ©thodes de contrĂŽle en laboratoire. Cette thĂšse joint les approches ascendantes oĂč l’on gĂ©nĂšre en laboratoire des produits de transformation et les approches descendantes oĂč ceux-ci sont identifiĂ©s directement Ă  mĂȘme l’échantillon avec le flux de travail. D’une part, elle a accru notre comprĂ©hension sur le devenir de plusieurs contaminants particuliĂšrement prĂ©occupants avec les Ă©tudes en laboratoire puis a poussĂ© le cheminement en les retrouvant dans Ă©chantillons rĂ©els et en simulant leur toxicitĂ© pour une approche ascendante totale. ParallĂšlement, elle consiste une preuve de principe sur comment mener une analyse non ciblĂ©e selon l’état de l’art. Les outils ont Ă©tĂ© validĂ©s en fournissant des informations prĂ©cieuses aux Ă©laborateurs de programmes de monitoring et de suivi de toxicitĂ© sur l’occurrence locale de nombreux contaminants organiques et leurs PTs

    Transport of Components and Phases in a Surfactant/Foam

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    The transport of components and phases plays a fundamental role in the success of an EOR process. Because many reservoirs have harsh conditions of salinity, temperature and rock heterogeneity, which limit process options, a robust system with flexibility is required. Systematic experimental study of formulations capable to transport surfactant as foam at 94°C, formulated in sea water, is presented. It includes methodology to conduct core floods in sand packs using foaming surfactants and to develop “surfactant blend ratio- salinity ratio maps” using equilibrium phase behavior to determine favorable conditions for oil recovery in such floods. Mathematical model able to reproduce the foam strength behavior observed in sand packs with the formulations studied is presented. Visualization of oil recovery mechanism from matrix is realized using a model system of micro-channels surrounded by glass beads to mimic matrix and fractures respectively. The observations illustrate how components may distribute within the matrix, thereby releasing oil into the fractures. The use of chemicals to minimize adsorption is required when surfactant adsorption is important. The presence of anhydrite may limit the use of sodium carbonate to reduce adsorption of carbonates. A methodology is presented to estimate the amount, if any, of anhydrite present in the reservoir. The method is based on brine software analysis of produced water compositions and inductively coupled plasma (ICP) analysis of core samples. X-ray powder diffraction (XRD) was used to verify the mineralogy of the rock. X-ray photoelectron spectroscopy (XPS) was used to obtain surface composition for comparison with bulk composition of the rock. Adsorption of surfactants was measured using dynamic and static adsorption experiments. Determining the flow properties of the rock samples via tracer analysis permitted the simulation of the dynamic adsorption process using a mathematical model that considers the distribution of adsorbed materials in the three different regions of pore space. Using this method allows one to predict adsorption in a reservoir via simulation

    FOAM LIFT EFFICIENCY FOR GAS WELL DELIQUIFICATION IN PRESENCE OF CONDENDATES

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    Over the life of Natural Gas wells, as the formation pressure declines, they face the issue of liquid loading. Liquid loading or inability of gas to carry the accumulated liquids along the wellbore shortens the life of gas wells, costing the operators in revenue. One of the common gas-well deliquification techniques is surfactant injection or foam lift. This method is proven very beneficial especially at low-pressure gas reserves, where the required critical gas velocity to avoid liquid loading gets reduced to around 20% of its original value. However, it is known that the presence of condensed hydrocarbons lowers the surfactant’s efficiency in foam lift operations. In this study experimental evaluation of the performances of various surfactants in presence of both water and hydrocarbon condensates with regards to unloading the liquids is carried out. Experimental work includes characterization of surfactants based on static and dynamic surface tension measurements and liquid unloading tests with varying surfactants and concentrations, changing liquid column water cuts and a fixed Nitrogen gas injection rate to generate foam at room temperature and at high temperature. The results are recorded in terms of unloaded liquid, liquid drainage rate, foam quality, foam density, and foam half-life. A noticeable drop is observed in liquid unloading as the water cut is reduced showing the diminishing foam lift efficiency at room temperature and at high temperature as well. However, the significance of this drop is different for different surfactant types
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