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Articles de revues sur le sujet « Chemical sensitivity analysi »

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Auteur : Grafiati
Publié le 10 mars 2023

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1

Saltelli, Andrea, Marco Ratto, Stefano Tarantola et Francesca Campolongo. « Sensitivity Analysis for Chemical Models ». Chemical Reviews 105, no 7 (juillet 2005) : 2811–28. http://dx.doi.org/10.1021/cr040659d.

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Larter, Raima, et Bruce L. Clarke. « Chemical reaction network sensitivity analysis ». Journal of Chemical Physics 83, no 1 (juillet 1985) : 108–16. http://dx.doi.org/10.1063/1.449801.

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3

Turányi, Tamás. « Sensitivity analysis in chemical kinetics ». International Journal of Chemical Kinetics 40, no 11 (8 septembre 2008) : 685–86. http://dx.doi.org/10.1002/kin.20364.

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Zeliger, Harold I., Yaqin Pan et William J. Rea. « Predicting co-morbidities in chemically sensitive individuals from exhaled breath analysis ». Interdisciplinary Toxicology 5, no 3 (1 août 2012) : 123–26. http://dx.doi.org/10.2478/v10102-012-0020-7.

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ABSTRACT The exhaled breath of more than four hundred patients who presented at the Environmental Health Center - Dallas with chemical sensitivity conditions were analyzed for the relative abundance of their breath chemical composition by gas chromatography and mass spectrometry for volatile and semi-volatile organic compounds. All presenting patients had no fewer than four and as many as eight co-morbid conditions. Surprisingly, almost all the exhaled breath analyses showed the presence of a preponderance of lipophilic aliphatic and aromatic hydrocarbons. The hydrophilic compounds present were almost entirely of natural origin, i.e. expected metabolites of foods. The lipophile, primarily C3 to C16 hydrocarbons and believed to have come from inhalation of polluted air, were, in all cases, present at concentrations far below those known to be toxic to humans, but caused sensitivity and signs of chemical overload. The co-morbid health effects observed are believed to be caused by the sequential absorption of lipophilic and hydrophilic chemicals; an initial absorption and retention of lipophile followed by a subsequent absorption of hydrophilic species facilitated by the retained lipophile to produce chemical mixtures that are toxic at very low levels. It is hypothesized that co-morbid conditions in chemically sensitive individuals can be predicted from analysis of their exhaled breath.
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Seferlis, P., et A. N. Hrymak. « Sensitivity analysis for chemical process optimization ». Computers & ; Chemical Engineering 20, no 10 (octobre 1996) : 1177–200. http://dx.doi.org/10.1016/0098-1354(96)82074-6.

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Zak, Daniel E., Jörg Stelling et Francis J. Doyle. « Sensitivity analysis of oscillatory (bio)chemical systems ». Computers & ; Chemical Engineering 29, no 3 (février 2005) : 663–73. http://dx.doi.org/10.1016/j.compchemeng.2004.08.021.

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Nalewajski, Roman F. « Chemical reactivity concepts in charge sensitivity analysis ». International Journal of Quantum Chemistry 56, no 5 (5 décembre 1995) : 453–76. http://dx.doi.org/10.1002/qua.560560505.

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NARUKAWA, Tomohiro, Takayoshi KUROIWA, Izumi NARUSHIMA et Koichi CHIBA. « Effect of the Chemical Species of Arsenic on Sensitivity in Graphite Furnace Atomic Absorption Spectrometry ». Analytical Sciences 24, no 3 (2008) : 355–60. http://dx.doi.org/10.2116/analsci.24.355.

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Fishtik, Ilie, István Nagypál et Ivan Gutman. « Sensitivity analysis of multiple chemical equilibria : Sensitivity coefficients and response equilibria ». Journal of Chemical Physics 103, no 17 (novembre 1995) : 7545–55. http://dx.doi.org/10.1063/1.470271.

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Merritt, Michael, Alen Alexanderian et Pierre A. Gremaud. « Multiscale Global Sensitivity Analysis for Stochastic Chemical Systems ». Multiscale Modeling & ; Simulation 19, no 1 (janvier 2021) : 440–59. http://dx.doi.org/10.1137/20m1323989.

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Saltelli, Andrea, Marco Ratto, Stefano Tarantola et Francesca Campolongo. « Update 1 of : Sensitivity Analysis for Chemical Models ». Chemical Reviews 112, no 5 (mai 2012) : PR1—PR21. http://dx.doi.org/10.1021/cr200301u.

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Song, Qiusheng, et Li Song. « A Quantitative Analysis of Chemical Plant Safety Based on Bayesian Network ». Processes 11, no 2 (9 février 2023) : 525. http://dx.doi.org/10.3390/pr11020525.

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Once a chemical production accident occurs in a chemical plant, it often causes serious economic losses, casualties, and environmental damage. Statistics show that many major accidents in the production and storage of chemicals are mainly caused by human factors. This article considers the influence of the human factor and proposes a quantitative analysis model of a chemical plant based on a Bayesian network. The model takes into account the main human factors in seven aspects: organization, information, job design, human system interface, task environment, workplace design, and operator characteristics. The Bayesian network modeling method and simulation were used to predict the safety quantitative value and safety level of the chemical plant. Using this model, we can quickly calculate the safe quantitative ratio of each factor in the chemical plant. Through the safety quantitative value, safety level, and sensitivity analysis, the safety hazards of chemical companies can be discovered. Immediate improvements of potential safety hazards in chemical plants are very effective in preventing major safety accidents. This model provides an effective method for chemical park managers to monitor and manage chemical plants based on quantitative safety data.
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HIGASHI, Tatsuya, Natsuko TAKIDO, Akinori YAMAUCHI et Kazutake SHIMADA. « Electron-capturing Derivatization of Neutral Steroids for Increasing Sensitivity in Liquid Chromatography/Negative Atmospheric Pressure Chemical Ionization-Mass Spectrometry. » Analytical Sciences 18, no 12 (2002) : 1301–7. http://dx.doi.org/10.2116/analsci.18.1301.

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Kaya, Sariye I., Tutku C. Karabulut, Sevinç Kurbanoglu et Sibel A. Ozkan. « Chemically Modified Electrodes in Electrochemical Drug Analysis ». Current Pharmaceutical Analysis 16, no 6 (1 juillet 2020) : 641–60. http://dx.doi.org/10.2174/1573412915666190304140433.

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Electrode modification is a technique performed with different chemical and physical methods using various materials, such as polymers, nanomaterials and biological agents in order to enhance sensitivity, selectivity, stability and response of sensors. Modification provides the detection of small amounts of analyte in a complex media with very low limit of detection values. Electrochemical methods are well suited for drug analysis, and they are all-purpose techniques widely used in environmental studies, industrial fields, and pharmaceutical and biomedical analyses. In this review, chemically modified electrodes are discussed in terms of modification techniques and agents, and recent studies related to chemically modified electrodes in electrochemical drug analysis are summarized.
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Kalyabina, V. P., E. N. Esimbekova, I. G. Torgashina, K. V. Kopylova et V. A. Kratasyuk. « Principles for construction of bioluminescent enzyme biotests for analysis of complex media ». Доклады Академии наук 485, no 2 (20 mai 2019) : 229–33. http://dx.doi.org/10.31857/s0869-56524852229-233.

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We formulated the principles of designing bioluminescent enzyme tests for assessing the quality of complex media which consist in providing the maximum sensitivity to potentially toxic chemicals at a minimal impact of uncontaminated complex media. The developed principles served as a basis for designing a new bioluminescent method for an integrated rapid assessment of chemical safety of fruits and vegetables which is based on using the luminescent bacterium enzymes (NAD(P)H:FMN oxidoreductase and luciferase) as a test system.
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Micarelli, Alessandro, Andrea Viziano, Ernesto Bruno, Elisa Micarelli et Marco Alessandrini. « Vestibular impairment in Multiple Chemical Sensitivity : Component analysis findings ». Journal of Vestibular Research 26, no 5-6 (27 janvier 2017) : 459–68. http://dx.doi.org/10.3233/ves-160594.

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Gibson, Pamela Reed. « Multiple Chemical Sensitivity, Culture and Delegitimization : A Feminist Analysis ». Feminism & ; Psychology 7, no 4 (novembre 1997) : 475–93. http://dx.doi.org/10.1177/0959353597074003.

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18

Fishtik, Ilie, et Dan Geană. « Sensitivity analysis of complex chemical equilibria in heterogeneous systems ». Berichte der Bunsengesellschaft für physikalische Chemie 101, no 2 (février 1997) : 200–208. http://dx.doi.org/10.1002/bbpc.19971010207.

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Lin, Shengqiang, Ming Xie, Meng Wu et Weixing Zhou. « Global Sensitivity Analysis of Large Reaction Mechanisms Using Fourier Amplitude Sensitivity Test ». Journal of Chemistry 2018 (1 août 2018) : 1–8. http://dx.doi.org/10.1155/2018/5127393.

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Global sensitivity analysis (GSA) of large chemical reaction mechanisms remains a challenge since the model with uncertainties in the large number of input parameters provides large dimension of input parameter space and tends to be difficult to evaluate the effect of input parameters on model outputs. In this paper, a criterion for frequency selection to input parameter is proposed so that Fourier amplitude sensitivity test (FAST) method can evaluate the complex model with a low sample size. This developed FAST method can establish the relationship between the number of input parameters and sample size needed to measure sensitivity indices with high accuracy. The performance of this FAST method which can allow both the qualitative and quantitative analysis of complex systems is validated by a H2/air combustion model and a CH4/air combustion model. This FAST method is also compared with other GSA methods to illustrate the features of this FAST method. The results show that FAST method can evaluate the reaction systems with low sample size, and the sensitivity indices obtained from the FAST method can provide more important information which the variance-based GSA methods cannot obtain. FAST method can be a remarkably effective tool for the modelling and diagnosis of large chemical reaction.
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20

Karabulut, Nermin Pinar, Murodzhon Akhmedov et Murat Cokol. « A drug similarity network for understanding drug mechanism of action ». Journal of Bioinformatics and Computational Biology 12, no 02 (avril 2014) : 1441007. http://dx.doi.org/10.1142/s0219720014410078.

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Chemogenomic experiments, where genetic and chemical perturbations are combined, provide data for discovering the relationships between genotype and phenotype. Traditionally, analysis of chemogenomic datasets has been done considering the sensitivity of the deletion strains to chemicals, and this has shed light on drug mechanism of action and detecting drug targets. Here, we computationally analyzed a large chemogenomic dataset, which combines more than 300 chemicals with virtually all gene deletion strains in the yeast S. cerevisiae. In addition to sensitivity relation between deletion strains and chemicals, we also considered the deletion strains that are resistant to chemicals. We found a small set of genes whose deletion makes the cell resistant to many chemicals. Curiously, these genes were enriched for functions related to RNA metabolism. Our approach allowed us to generate a network of drugs and genes that are connected with resistance or sensitivity relationships. As a quality assessment, we showed that the higher order motifs found in this network are consistent with biological expectations. Finally, we constructed a biologically relevant network projection pertaining to drug similarities, and analyzed this network projection in detail. We propose this drug similarity network as a useful tool for understanding drug mechanism of action.
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Del Casale, Antonio, Stefano Ferracuti, Alessio Mosca, Leda Marina Pomes, Federica Fiaschè, Luca Bonanni, Marina Borro, Giovanna Gentile, Paolo Martelletti et Maurizio Simmaco. « Multiple Chemical Sensitivity Syndrome : A Principal Component Analysis of Symptoms ». International Journal of Environmental Research and Public Health 17, no 18 (9 septembre 2020) : 6551. http://dx.doi.org/10.3390/ijerph17186551.

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Multiple Chemical Sensitivity (MCS) is a chronic and/or recurrent condition with somatic, cognitive, and affective symptoms following a contact with chemical agents whose concentrations do not correlate with toxicity in the general population. Its prevalence is not well defined; it mainly affects women between 40 and 50 years, without variations in ethnicity, education and economic status. We aimed to assess the core symptoms of this illness in a sample of Italian patients. Two physicians investigated different symptoms with a checklist compilation in 129 patients with MCS (117 women). We conducted a categorical Principal Component Analysis (CATPCA) with Varimax rotation on the checklist dataset. A typical triad was documented: hyperosmia, asthenia, and dyspnoea were the most common symptoms. Patients also frequently showed cough and headache. The CATPCA showed seven main factors: 1, neurocognitive symptoms; 2, physical (objective) symptoms; 3, gastrointestinal symptoms; 4, dermatological symptoms; 5, anxiety-depressive symptoms; 6, respiratory symptoms; 7, hyperosmia and asthenia. Patients showed higher mean prevalence of factors 7 (89.9%), 6 (71.7%), and 1 (62.13%). In conclusion, MCS patients frequently manifest hyperosmia, asthenia, and dyspnoea, which are often concomitant with other respiratory and neurocognitive symptoms. Considering the clinical association that is often made with anxiety, more studies are necessary on the psychosomatic aspects of this syndrome. Further analytical epidemiological studies are needed to support the formulation of aetiological hypotheses of MCS.
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22

Hanai, Toshihiko. « QUANTITATIVE COMPUTATIONAL CHEMICAL ANALYSIS OF THE SENSITIVITY OF CHEMILUMINESCENCE DETECTION ». Journal of Liquid Chromatography & ; Related Technologies 25, no 16 (octobre 2002) : 2425–31. http://dx.doi.org/10.1081/jlc-120014264.

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23

Klie, Robert F., Ahmet Gulec, JingJing Liu, Tadas Paulauskas, Patrick J. Phillips, Canhui Wang et Randall J. Meyer. « Chemical Analysis with Single Atom Sensitivity Using Aberration-Corrected STEM ». Microscopy and Microanalysis 20, S3 (août 2014) : 56–57. http://dx.doi.org/10.1017/s1431927614002001.

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Grouset, D., P. Plion, E. Znaty et S. Galant. « Development of a variational method for chemical kinetic sensitivity analysis ». Symposium (International) on Combustion 21, no 1 (janvier 1988) : 795–807. http://dx.doi.org/10.1016/s0082-0784(88)80311-4.

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Komorowski, Michał, Justina Žurauskienė et Michael P. H. Stumpf. « StochSens—matlab package for sensitivity analysis of stochastic chemical systems ». Bioinformatics 28, no 5 (28 février 2012) : 731–33. http://dx.doi.org/10.1093/bioinformatics/btr714.

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Flora, Edna M. C. V., Makram T. Suidan, Joseph R. V. Flora et Byung J. Kim. « Speciation and Chemical Interactions in Nitrifying Biofilms. II : Sensitivity Analysis ». Journal of Environmental Engineering 125, no 9 (septembre 1999) : 878–84. http://dx.doi.org/10.1061/(asce)0733-9372(1999)125:9(878).

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Banyai, Tamas. « SENSITIVITY ANALYSIS OF WAGNER-WHITIN ALGORITHM ». Journal of Production Engineering 25, no 1 (30 juin 2022) : 37–42. http://dx.doi.org/10.24867/jpe-2022-01-037.

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Material requirement planning (MRP) plays an important role in the efficiency improvement of manufacturing companies. The MRP solutions of enterprise resource planning (ERP) systems are influenced by both technological and logistics parameters, but using additional algorithms, like Wagner-Whitin or Silver-Meal heuristics, it is possible to take more parameters into consideration. These heuristics can optimise the results of MRP, especially from ordering, warehousing and transportation costs point of view. Within the frame of this article the impact of process parameters on the result of Wagner-Whitin algorithm are described.
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Wei, Wenjuan, John C. Little, Mélanie Nicolas, Olivier Ramalho et Corinne Mandin. « Modeling Primary Emissions of Chemicals from Liquid Products Applied on Indoor Surfaces ». International Journal of Environmental Research and Public Health 19, no 16 (16 août 2022) : 10122. http://dx.doi.org/10.3390/ijerph191610122.

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Liquid products applied on material surfaces and human skin, including many household cleaning products and personal care products, can lead to intermittent emissions of chemicals and peak concentrations in indoor air. The existing case-based models do not allow inter-comparison of different use scenarios and emission mechanisms. In this context, the present work developed a mechanistic model based on mass transfer theories, which allowed emissions into the air from the liquid product to be characterized. It also allowed for diffusion into the applied surface during product use and re-emission from the applied surface after the depletion of the liquid product. The model was validated using literature data on chemical emissions following floor cleaning and personal care product use. A sensitivity analysis of the model was then conducted. The percentage of the chemical mass emitted from the liquid to the air varied from 45% (applied on porous material) to 99% (applied on human skin), and the rest was absorbed into the applied material/skin. The peak gas-phase concentration, the time to reach the peak concentration, and the percentage of the liquid-to-air emission depended significantly on the chemical’s octanol/gas and material/gas partition coefficients and the diffusion coefficient of the chemical in the applied material/skin.
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Aamand, Jens, Leif Bruun et Bo Vöge Christensen. « Immunological analysis of pesticides : a new tool in groundwater testing ». Geological Survey of Denmark and Greenland (GEUS) Bulletin 4 (20 juillet 2004) : 29–32. http://dx.doi.org/10.34194/geusb.v4.4776.

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Groundwater is the major source of drinking water in many European countries, and in Denmark alone it accounts for more than 99% of the drinking water supply. Within the past decade pesticide residues have frequently been detected in groundwater, in many cases at levels exceeding the 0.1 µg/l limit set by the European Community. As a consequence, drinking water abstraction wells have had to be closed in many places in Denmark and other European countries, and a vast amount of money is expended to monitor groundwater pesticide levels. A degradation product of the herbicide dichlobenil, 2,6-dichlorobenzamide (BAM), is the most common cause of drinking water well closure in Denmark. Triazines and their metabolites also contaminate groundwater in many countries, and pose a similar risk to the drinking water supply. Analysis of most pesticides and their degradation products is usually carried out by concentrating the samples by solvent extraction, and identifying the contaminants using gas chromatography (GC) or high-pressure liquid chromatography (HPLC) combined with mass spectrometry (MS). These methods, although robust and well established, are very time-consuming and require specialised instrumentation. The large quantity of solvents used is another draw back to these methods, as the solvents themselves may be carcinogenic and are also well known contaminants of groundwater. The development of cheap, more sensitive and more rapid pesticide assays is therefore urgent. Due to their very high sensitivity, immunological methods have long been used in biological science for analysing a large variety of organic structures, but have only recently been introduced to environmental analysis. The benefit of such assays is primarily their high sensitivity, which allows the analysis to be undertaken without the need to concentrate the samples, but also the facility of dealing with large numbers of samples. Compared to conventional analyses, immunological methods face two major drawbacks – one related to specificity and the other to the fact that only very few chemicals can currently be analysed simultaneously. The crux of the specificity problem is that although antibodies react very specifically with particular chemical structures, these same structures may be present in analogous compounds. Thus antibodies developed to recognise, for example the herbicide atrazine might also recognise other triazines (Bruun et al. 2001). An important scientific challenge is therefore the development of highly specific assays recognising each individual compound, as well as assays recognising groups of related chemicals. With respect to the simultaneous analysis of numerous chemicals, this can be resolved by implementing the new biochip technology, which incorporates the parallellity of sample screening. On a pesticide biochip many specific immunological assays are carried out in isolated small spots on a glass or polymer surface. Each spot has a size of approximately 150 micrometers and forms a specific analysis. Such a miniaturised platform will be usable for monitoring programmes where water samples have to be screened for a range of chemical contaminants. The overall objectives of this study have been (1) to develop immunoassays for high-sensitivity analysis of specific pesticides and chemically related groups of pesticides, and (2) to transfer the developed assays to a miniaturised biochip platform in a manner allowing analysis of several pesticides simultaneously.
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Huber, Elena, Vanessa Bach, Peter Holzapfel, Daria Blizniukova et Matthias Finkbeiner. « An Approach to Determine Missing Life Cycle Inventory Data for Chemicals (RREM) ». Sustainability 14, no 6 (8 mars 2022) : 3161. http://dx.doi.org/10.3390/su14063161.

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Chemicals impact the environment. However, life cycle assessments (LCA) of products containing chemicals are often not possible due to a lack of available datasets. Existing methodologies to address this problem have several shortcomings. Therefore, a new approach to model chemicals is introduced to fill dataset gaps in inventory databases. Further data for 60 chemicals are provided. The approach consists of four steps: (i) general research on the chemical and the synthesis processes, (ii) setting up the reaction equations, (iii) researching the required thermal energy, and (iv) modeling of the dataset (RREM). Depending on the obtained data, calculations are carried out or assumptions are applied. The environmental impact of the chemicals is modeled in the LCA software linking to existing datasets. A case study of the chemical octocrylene illustrates the application of RREM. An overview is given of the environmental profile of 60 chemicals modeled based on RREM. The validity of the assumptions and their influences on the results are examined by a sensitivity analysis. By modeling chemicals with the RREM approach, previously unknown environmental impacts of chemicals and products containing them can be determined.
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Landree, E., C. Collazo-Davila, D. Grozea, R. Plass, G. Jayaram, L. D. Marks et P. C. Stair. « Surface chemical sensitivity combined with high-resolution EM ». Proceedings, annual meeting, Electron Microscopy Society of America 53 (13 août 1995) : 580–81. http://dx.doi.org/10.1017/s0424820100139275.

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Although high resolution electron microscopy (HREM) has proved to be an invaluable tool in the study of surfaces, one critical drawback is its inability to obtain specific surface chemical state information. The ideal investigation would combine the imaging capabilities of HREM with the surface chemical information obtainable from X-ray Photon Spectroscopy (XPS) and Auger Electron Spectroscopy (AES) without exposing the sample surface to possible contaminants. We have taken a step in this regard with the addition of a new Specimen Preparation Evaluation and Analysis for Research (SPEAR) side chamber to the existing Hitachi UHV-9000 microscope, designed by Superior Vacuum Technology (Figure 1). Currently we are able to combine all of the imaging tools of HREM with surface chemical sensitivity, in an attempt to achieve the ideal surface analysis instrument.Samples are introduced and retrieved from the system through a load-lock mechanism. Pumped by a 210 Liter/sec Balzers’ Turbomolecular pump, this introduction chamber is capable of going from atmospheric pressure to 10-10 torr in four to eight hours.
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Zhu, Rongchen, Xiaofeng Hu, Xin Li, Han Ye et Nan Jia. « Modeling and Risk Analysis of Chemical Terrorist Attacks : A Bayesian Network Method ». International Journal of Environmental Research and Public Health 17, no 6 (19 mars 2020) : 2051. http://dx.doi.org/10.3390/ijerph17062051.

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The chemical terrorist attack is an unconventional form of terrorism with vast scope of influence, strong concealment, high technical means and severe consequences. Chemical terrorism risk refers to the uncertainty of the effects of terrorist organisations using toxic industrial chemicals/drugs and classic chemical weapons to attack the population. There are multiple risk factors infecting chemical terrorism risk, such as the threat degree of terrorist organisations, attraction of targets, city emergency response capabilities, and police defense capabilities. We have constructed a Bayesian network of chemical terrorist attacks to conduct risk analysis. The scenario analysis and sensitivity analysis are applied to validate the model and analyse the impact of the vital factor on the risk of chemical terrorist attacks. The results show that the model can be used for simulation and risk analysis of chemical terrorist attacks. In terms of controlling the risk of chemical terrorist attack, patrol and surveillance are less critical than security checks and police investigations. Security check is the most effective approach to decrease the probability of successful attacks. Different terrorist organisations have different degrees of threat, but the impacts of which are limited to the success of the attack. Weapon types and doses are sensitive to casualties, but it is the level of emergency response capabilities that dominates the changes in casualties. Due to the limited number of defensive resources, to get the best consequence, the priority of the deployment of defensive sources should be firstly given to governmental buildings, followed by commercial areas. These findings may provide the theoretical basis and method support for the combat of the public security department and the safety prevention decision of the risk management department.
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Naseem, Urooj, Ayesha Ayub, Fatima Iqbal et Farhan Sohail. « Use of Fluorescent Probe for the Fast and Quantitative Detection of Chemicals in the Blood ». Global Pharmaceutical Sciences Review IV, no I (30 décembre 2019) : 1–10. http://dx.doi.org/10.31703/gpsr.2019(iv-i).01.

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Different methods are adopted for the quantitative detection of chemicals in the blood. One of which is discussed here, i.e., the fluorescent probes that are preferred in biological systems owing to their sensitivity, high selectivity, elevated spatiotemporal resolution, and noninvasiveness. In recent years, for the identification of various chemicals, a large number of probes have been designed. For the detection as well as identification of fluorescent probes, sulfides, different chemicals such as iron, glucose, glutathione etc., in the blood are discussed. The maximum detection limits of newly synthesized fluorescent probes for different chemical analysis are studied and comparatively analyzed. Different parameters like pH, incubation time, mixing time, the detection limit of the fluorescent probes is also explored.
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Santos, M. M., E. A. Boss et R. Maciel Filho. « Supercritical extraction of oleaginous : parametric sensitivity analysis ». Brazilian Journal of Chemical Engineering 17, no 4-7 (décembre 2000) : 713–20. http://dx.doi.org/10.1590/s0104-66322000000400035.

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Watai, K., K. Sekiya et M. Taniguchi. « P07-36 Metagenomic analysis of gut microbiome in multiple chemical sensitivity ». Toxicology Letters 368 (septembre 2022) : S133. http://dx.doi.org/10.1016/j.toxlet.2022.07.379.

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Li, Rui, Guo-qiang He, Fei Qin, Xiang-geng Wei, Duo Zhang, Ya-jun Wang et Bing Liu. « Development of skeletal chemical mechanisms with coupled species sensitivity analysis method ». Journal of Zhejiang University-SCIENCE A 20, no 12 (décembre 2019) : 908–17. http://dx.doi.org/10.1631/jzus.a1900388.

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Zhang, Yang, Christian H. Bischof, Richard C. Easter et Po-Ting Wu. « Sensitivity analysis of a mixed-phase chemical mechanism using automatic differentiation ». Journal of Geophysical Research : Atmospheres 103, no D15 (1 août 1998) : 18953–79. http://dx.doi.org/10.1029/98jd01278.

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Pandis, Spyros N., et John H. Seinfeld. « Sensitivity analysis of a chemical mechanism for aqueous-phase atmospheric chemistry ». Journal of Geophysical Research 94, no D1 (1989) : 1105. http://dx.doi.org/10.1029/jd094id01p01105.

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Xie, Xiangzhong, René Schenkendorf et Ulrike Krewer. « Efficient sensitivity analysis and interpretation of parameter correlations in chemical engineering ». Reliability Engineering & ; System Safety 187 (juillet 2019) : 159–73. http://dx.doi.org/10.1016/j.ress.2018.06.010.

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Rabitz, Herschel. « Chemical dynamics and kinetics phenomena as revealed by sensitivity analysis techniques ». Chemical Reviews 87, no 1 (février 1987) : 101–12. http://dx.doi.org/10.1021/cr00077a006.

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Chen, Songyue, Albert van den Berg et Edwin T. Carlen. « Sensitivity and detection limit analysis of silicon nanowire bio(chemical) sensors ». Sensors and Actuators B : Chemical 209 (mars 2015) : 486–89. http://dx.doi.org/10.1016/j.snb.2014.12.007.

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Hossain, Md Selim, Md Omar Faruq, Md Masud Rana, Shuvo Sen, Md Dulal Haque et Mir Mohammad Azad. « Sensitivity analysis for detecting chemicals by the optical chemical sensor based Photonic Crystal Fiber (PCF) in the Terahertz (THz) regime ». Physica Scripta 96, no 12 (1 décembre 2021) : 125121. http://dx.doi.org/10.1088/1402-4896/ac42ec.

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Abstract This research article demonstrates a good simulation result for identifying and detecting various industrial chemicals in a Terahertz (THz) waveguide with a new heptagonal, five layers of heptagonal photonic fiber elliptic form, heptagonal cladding shape (H-PCF). COMSOL 4.2 software based on finite element (FEM) methods and perfectly matched layers check our composition (PML). The different chemicals are also differentiated and identified by each other in different parameters H-PCF fibers show a high relative sensitivity of ethanol of approximately 86.50 percent after numerical analysis, Benzene around 89.35%, and water around 85.15% at a frequency of around 0.7 THz. In our experiment, we obtained very low confinement losses at 1 terahertz (THz) such as 5.95 × 10−08 dB/m for Ethanol 6.67 × 10−08 dB/m for Benzene, and 5.80 × 10−08 dB/m for water. Regarding these results, we can strongly recommend that our proposed heptagonal photonic crystal fiber (H-PCF) will be more congenial in biomedical, bio-medicine, and industrial areas for the identification and detection of various types of chemicals with the help of a THz waveguide.
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FEO, J. C., M. A. CASTRO, J. M. LUMBRERAS, B. de CELIS et A. J. ALLER. « Nickel as a Chemical Modifier for Sensitivity Enhancement and Fast Atomization Processes in Electrothermal Atomic Absorption Spectrometric Determination of Cadmium in Biological and Environmental Samples ». Analytical Sciences 19, no 12 (2003) : 1631–36. http://dx.doi.org/10.2116/analsci.19.1631.

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Judge, Kevin, Chris W. Brown et Lutz Hamel. « Sensitivity of Raman Spectra to Chemical Functional Groups ». Applied Spectroscopy 62, no 11 (novembre 2008) : 1221–25. http://dx.doi.org/10.1366/000370208786401653.

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Spectral features in Raman spectra of organic molecules can be attributed to certain functional groups. A library of 1222 Raman spectra was used to train an artificial neural network (ANN) for predicting the presence of 13 functional groups. Sensitivity analysis was applied to the ANN models to determine a sensitivity factor or feature spectrum for each functional group. The feature spectra could then be used to predict the presence of specific groups based on Bayes' theorem. Once a model is constructed for each functional group, it can be applied directly to measured spectra of structurally unknown molecules and provide real-time predictions. Prediction accuracies of greater than 90% were obtained for aromatic, alkene, aldehyde, ketone, ester, nitro, and nitrile linkages. Accuracies for alcohols and amines were in the 80% range.
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Rocha, Fábio R. P., et Elias A. G. Zagatto. « Chemical Derivatization in Flow Analysis ». Molecules 27, no 5 (26 février 2022) : 1563. http://dx.doi.org/10.3390/molecules27051563.

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Chemical derivatization for improving selectivity and/or sensitivity is a common practice in analytical chemistry. It is particularly attractive in flow analysis in view of its highly reproducible reagent addition(s) and controlled timing. Then, measurements without attaining the steady state, kinetic discrimination, exploitation of unstable reagents and/or products, as well as strategies compliant with Green Analytical Chemistry, have been efficiently exploited. Flow-based chemical derivatization has been accomplished by different approaches, most involving flow and manifold programming. Solid-phase reagents, novel strategies for sample insertion and reagent addition, as well as to increase sample residence time have been also exploited. However, the required alterations in flow rates and/or manifold geometry may lead to spurious signals (e.g., Schlieren effect) resulting in distorted peaks and a noisy/drifty baseline. These anomalies can be circumvented by a proper flow system design. In this review, these aspects are critically discussed mostly in relation to spectrophotometric and luminometric detection.
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Rodriguez Martin, Laura Rodriguez, Ilse Ottenbros, Nina Vogel, Marike Kolossa-Gehring, Phillipp Schmidt, Katarína Řiháčková, Miguel Juliá Juliá Molina et al. « Identification of Real-Life Mixtures Using Human Biomonitoring Data : A Proof of Concept Study ». Toxics 11, no 3 (22 février 2023) : 204. http://dx.doi.org/10.3390/toxics11030204.

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Human health risk assessment of chemical mixtures is complex due to the almost infinite number of possible combinations of chemicals to which people are exposed to on a daily basis. Human biomonitoring (HBM) approaches can provide inter alia information on the chemicals that are in our body at one point in time. Network analysis applied to such data may provide insight into real-life mixtures by visualizing chemical exposure patterns. The identification of groups of more densely correlated biomarkers, so-called “communities”, within these networks highlights which combination of substances should be considered in terms of real-life mixtures to which a population is exposed. We applied network analyses to HBM datasets from Belgium, Czech Republic, Germany, and Spain, with the aim to explore its added value for exposure and risk assessment. The datasets varied in study population, study design, and chemicals analysed. Sensitivity analysis was performed to address the influence of different approaches to standardise for creatinine content of urine. Our approach demonstrates that network analysis applied to HBM data of highly varying origin provides useful information with regards to the existence of groups of biomarkers that are densely correlated. This information is relevant for regulatory risk assessment, as well as for the design of relevant mixture exposure experiments.
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Hubbard, Heidi F., Caroline L. Ring, Tao Hong, Cara C. Henning, Daniel A. Vallero, Peter P. Egeghy et Michael-Rock Goldsmith. « Exposure Prioritization (Ex Priori) : A Screening-Level High-Throughput Chemical Prioritization Tool ». Toxics 10, no 10 (28 septembre 2022) : 569. http://dx.doi.org/10.3390/toxics10100569.

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To estimate potential chemical risk, tools are needed to prioritize potential exposures for chemicals with minimal data. Consumer product exposures are a key pathway, and variability in consumer use patterns is an important factor. We designed Ex Priori, a flexible dashboard-type screening-level exposure model, to rapidly visualize exposure rankings from consumer product use. Ex Priori is Excel-based. Currently, it is parameterized for seven routes of exposure for 1108 chemicals present in 228 consumer product types. It includes toxicokinetics considerations to estimate body burden. It includes a simple framework for rapid modeling of broad changes in consumer use patterns by product category. Ex Priori rapidly models changes in consumer user patterns during the COVID-19 pandemic and instantly shows resulting changes in chemical exposure rankings by body burden. Sensitivity analysis indicates that the model is sensitive to the air emissions rate of chemicals from products. Ex Priori’s simple dashboard facilitates dynamic exploration of the effects of varying consumer product use patterns on prioritization of chemicals based on potential exposures. Ex Priori can be a useful modeling and visualization tool to both novice and experienced exposure modelers and complement more computationally intensive population-based exposure models.
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Rojas, Jaime, Toshko Zhelev et Aarón David Bojarski. « Modelling and sensitivity analysis of ATAD ». Computers & ; Chemical Engineering 34, no 5 (mai 2010) : 802–11. http://dx.doi.org/10.1016/j.compchemeng.2009.11.019.

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Wasylkiewicz, Stanislaw K., Leo C. Kobylka et Francisco J. L. Castillo. « Pressure Sensitivity Analysis of Azeotropes ». Industrial & ; Engineering Chemistry Research 42, no 1 (janvier 2003) : 207–13. http://dx.doi.org/10.1021/ie020079b.

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Chen, Jieyin. « Composition analysis and classification prediction of ancient glass ». Highlights in Science, Engineering and Technology 33 (21 février 2023) : 65–72. http://dx.doi.org/10.54097/hset.v33i.5264.

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Ancient glass is easily affected by environmental factors, which cause chemical changes between glass composition and environmental substances and leads to weathering. Analysis of the chemical composition of the ancient glass plays an important role in the study of the Silk Road. To study the composition of glass relics, the Kruskal-Wallis test was used to determine the chemical composition of different glass types; A decision tree was established to explore and visualize the classification rules of glass types, and the sensitivity analysis of subclass classification was carried out by setting the value of chemical composition content of cultural relics sampling points from -10% to 10%. It was found that high potash glass was most sensitive to SiO2, and lead-barium glass was most sensitive to PbO. Finally, based on the random forest algorithm, the sensitivity of the model is analyzed. According to the experimental hypothesis and data validation, it is proved that the comprehensive model has good robustness, and can accurately and quickly analyze and identify the chemical composition of ancient glass.
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