scholarly journals Profile Analysis by Analytical Techniques: A New Approach

2010 ◽  
Vol 7 (3) ◽  
pp. 245-266
Author(s):  
F. Demirmen
1980 ◽  
Vol 102 (1) ◽  
pp. 121-125 ◽  
Author(s):  
S. K. Fraley ◽  
T. J. Hoffman ◽  
P. N. Stevens

A new approach in the use of Monte Carlo to solve heat conduction problems is developed using a transport equation approximation to the heat conduction equation. A variety of problems is analyzed with this method and their solutions are compared to those obtained with analytical techniques. This Monte Carlo approach appears to be limited to the calculation of temperatures at specific points rather than temperature distributions. The method is applicable to the solution of multimedia problems with no inherent limitations as to the geometric complexity of the problem.


2007 ◽  
Vol 46 (11) ◽  
pp. 7441-7445 ◽  
Author(s):  
M'hamed Boulakroune ◽  
Ahmed El Oualkadi ◽  
Djamel Benatia ◽  
Tahar Kezai

2010 ◽  
Vol 1 (4) ◽  
Author(s):  
Berislav Momčilović ◽  
Juraj Prejac ◽  
Sanja Brundić ◽  
Sandra Morović ◽  
Anatoly Skalny ◽  
...  

AbstractThe recent development of the analytical techniques offers the unprecedented possibility to study simultaneously concentration of dozens of elements in the same biological matrix sample of 0.5–1.0 g (multielement profiles). The first part of this essay entitled “Think globally… An outline of trace elements in health and disease” aims to introduce the reader to the fascinating field of elements, there importance to our nutrition, their essentiality, deficiency, toxicity and bioavailability to the body and their overall role in health and disease, including the genetic metabolic impairments. In the second part of the essay entitled “… and act locally. The multielement profile of depression” we aimed to show the potential of such a hair multielement profile analysis for the study of human depression in a randomized, double blind, prospective, observational, cross-sectional, clinical, epidemiological, and analytical study. The preliminary results of this ongoing study lead us to put forward the hypothesis that the metabolic origin of depression may be due to some “energostat” failure, probably located in the thalamus, and activated by several essential element deficiencies.


2013 ◽  
Vol 11 (7) ◽  
pp. 1091-1100 ◽  
Author(s):  
Joanna Ronowicz ◽  
Bogumiła Kupcewicz ◽  
Joanna Mydłowska ◽  
Elżbieta Budzisz

AbstractIn this work attention is focused on impurity profile analysis in combination with infrared spectroscopy and chemometric methods. This approach is considered as an alternative to generally complex and time-consuming classic analytical techniques such as liquid chromatography. Various strategies for constructing descriptive models able to identify relations among drug impurity profiles hidden in multivariate chromatographic data sets are also presented and discussed. The hierarchical (cluster analysis) and non-hierarchical segmentation algorithms (k-means method) and principal component analysis are applied to gain an overview of the similarities and dissimilarities among impurity profiles of acetylsalicylic acid formulations. A tree regression algorithm based on infrared spectra is used to predict the relative content of impurities in the drug products investigated. Satisfactory predictive abilities of the models derived indicate the possibility of implementing them in the quality control of drug products.


1988 ◽  
Vol 110 (4) ◽  
pp. 621-627
Author(s):  
J. S. Hobday ◽  
J. Havill

Early work by the Naval Engineering Department of NGTE Pyestock, now RAE Pyestock, sought to define the Marine Aerosol through simple relationships between wind speed and aerosol size and distribution. Experience has shown the resulting Standard Aerosols to be unrepresentative of the actual conditions found in service. This paper describes a new approach using available ship and meteorological data and proven analytical techniques to generate a multivariable mathematical model of the Marine Aerosol embracing a wide envelope of operating conditions. It further describes how a simple model of a gas turbine air filter can be used in conjunction with the Marine Aerosol model and a model describing a ship propulsion system to predict the performance of the filter in terms of probable salt ingestion by the ship’s engines. This versatile design tool can be used for direct or comparative assessments of separator applications for marine gas tubine propulsion engines and generating sets.


Biosensors ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 519
Author(s):  
Liliana Anchidin-Norocel ◽  
Wesley K. Savage ◽  
Gheorghe Gutt ◽  
Sonia Amariei

Nickel is naturally present in drinking water and many dietary items, which expose the general population to nickel ingestion. This heavy metal can have a variety of harmful health effects, causing allergies and skin disorders (i.e., dermatitis), lung, cardiovascular, and kidney diseases, and even certain cancers; therefore, nickel detection is important for public health. Recent innovations in the development of biosensors have demonstrated they offer a powerful new approach over conventional analytical techniques for the identification and quantification of user-defined compounds, including heavy metals such as nickel. We optimized five candidate nickel-biosensing receptors, and tested each for efficiency of binding to immobilization elements on screen-printed electrodes (SPEs). We characterized the application of nickel-detecting biosensors with four different cultivated vegetables. We analyzed the efficiency of each nickel-detecting biosensor by potentiostat and atomic absorption spectrometry and compared the results from the sample analytes. We then analyzed the performance characteristics and responses of assembled biosensors, and show they are very effective at measuring nickel ions in food, especially with the urease-alginate biosensor affixed to silver SPEs, measured by cyclic voltammetry (sensitivity—2.1921 µA Mm−1 cm−2 and LOD—0.005 mg/L). Given the many advantages of biosensors, we describe an optimization pipeline approach to the application of different nickel-binding biosensors for public health, nutrition, and consumer safety, which are very promising.


Author(s):  
Mayowa A. Azeez

A new approach for the analysis of bio-crude oils (BCOs) has been qualitatively explored. The analytical scheme is based on the fractionation of BCO through precipitation in water, freeze-drying, solid phase extraction (SPE) and combinations of analytical techniques for the analysis of fractions. Monomeric components in BCO were characterised using gas chromatography coupled with mass spectrometer and flame ionisation detector (GC-MS/FID). The molecular mass distribution of oligomers was determined using gel permeation chromatography (GPC). The fractionation procedure appeared to have succeeded to a large extent as evident in the detection of various components along their expected fraction in the GC-MS/FID analysis. However, a quantitative analysis of the multiple components in different fractions appeared difficult owing to the loss of many volatile fractions through the fractionation procedure. And less than 7 wt. % of the sugar-related components in the acetylated polar SPE fraction were identified.


2010 ◽  
Vol 7 (3) ◽  
pp. 381-392 ◽  
Author(s):  
Michael W. Beets ◽  
John T. Foley

Background:Much of the research conducted to date implies overweight youth exhibit uniform active and sedentary behavioral patterns. This approach negates the possibility that multiple co-occurring, and seemingly contrasting, behaviors may manifest within the same individual. We present a substantive dialogue on alternative analytical approaches to identifying risk-related active/sedentary behavioral patterns associated with overweight in adolescents.Methods:Comparisons were made among latent profile analysis (LPA), cluster analysis (CA), and multinomial logistic regression (MLR). A cross sectional sample of youth (N = 6603; 12−18 yrs) completed a questionnaire assessing: physical activity (PA); competing activities (COMP); and sedentary activities (SED). Demographics associated with PA (age, sex, BMI) were used as covariates/predictors.Results:Comparisons among methods revealed that LPA and CA detected subgroupings of behavioral patterns associated with overweight, each unique in regards to behaviors and demographic characteristics, whereas MLR results followed established associations of low PA and high SED without subgroup separation.Conclusions:Use of LPA and CA provides a rich understanding of behavioral patterns and the related demographic characteristics. Decisions guiding the selection of analytical techniques are discussed.


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