scholarly journals The Impact of Geographical Location on the Chemical Compositions of Pimpinella lutea Desf. Growing in Tunisia

2021 ◽  
Vol 11 (16) ◽  
pp. 7739
Author(s):  
Hekmat AL-Hmadi ◽  
Ridha El Mokni ◽  
Rajesh K. Joshi ◽  
Mohamed L. Ashour ◽  
Saoussen Hammami

Essential oils are generally produced to confer the protection of medicinal plants against several natural enemies. Variations of chemical and physical environmental factors exert significant influences on plant development. They hence may affect the quality and quantity of volatile organic metabolites of interest and, therefore, the economic applications of essential oils. This research focused on the effects of the harvest region on the production and analytes present in Tunisian Pimpinella lutea Desf. Apiaceae that were collected in three different growing environments (North and South Bizerta and Tabarka). Essential oils extracted from a variety of genotypes were analyzed, for the first time, using gas chromatography and mass spectrometry (GC/FID and GC/MS). The determination of the percentage of essential oil components allowed the recognition of three chemotypes: α-trans-Bergamotene quantified at a percentage of 18.1% in North Bizerta (NBEO), muurola-4,10(14)-dien-1-β-ol identified in South Bizerta (10.1%, SBEO) and acora-3,7(14)-dien present in a high level of 29.1% in Tabarka population (TEO). The richness of different populations in sesquiterpenes (60.2–78.1%) suggests that Pimpinella lutea Desf. may be used in different industrial segments.

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Mohamed A. Farag ◽  
Moamen M. Elmassry ◽  
Masahiro Baba ◽  
Renée Friedman

Abstract Previous studies have shown that the Ancient Egyptians used malted wheat and barley as the main ingredients in beer brewing, but the chemical determination of the exact recipe is still lacking. To investigate the constituents of ancient beer, we conducted a detailed IR and GC-MS based metabolite analyses targeting volatile and non-volatile metabolites on the residues recovered from the interior of vats in what is currently the world’s oldest (c. 3600 BCE) installation for large-scale beer production located at the major pre-pharaonic political center at Hierakonpolis, Egypt. In addition to distinguishing the chemical signatures of various flavoring agents, such as dates, a significant result of our analysis is the finding, for the first time, of phosphoric acid in high level probably used as a preservative much like in modern beverages. This suggests that the early brewers had acquired the knowledge needed to efficiently produce and preserve large quantities of beer. This study provides the most detailed chemical profile of an ancient beer using modern spectrometric techniques and providing evidence for the likely starting materials used in beer brewing.


2019 ◽  
Vol 12 (10) ◽  
pp. 5503-5517 ◽  
Author(s):  
Pascal Hedelt ◽  
Dmitry S. Efremenko ◽  
Diego G. Loyola ◽  
Robert Spurr ◽  
Lieven Clarisse

Abstract. The accurate determination of the location, height, and loading of sulfur dioxide (SO2) plumes emitted by volcanic eruptions is essential for aviation safety. The SO2 layer height is also one of the most critical parameters with respect to determining the impact on the climate. Retrievals of SO2 plume height have been carried out using satellite UV backscatter measurements, but, until now, such algorithms are very time-consuming. We have developed an extremely fast yet accurate SO2 layer height retrieval using the Full-Physics Inverse Learning Machine (FP_ILM) algorithm. This is the first time the algorithm has been applied to measurements from the TROPOMI instrument onboard the Sentinel-5 Precursor platform. In this paper, we demonstrate the ability of the FP_ILM algorithm to retrieve SO2 plume layer heights in near-real-time applications with an accuracy of better than 2 km for SO2 total columns larger than 20 DU. We present SO2 layer height results for the volcanic eruptions of Sinabung in February 2018, Sierra Negra in June 2018, and Raikoke in June 2019, observed by TROPOMI.


2010 ◽  
Vol 5 (6) ◽  
pp. 1934578X1000500
Author(s):  
Nicolas Lebouvier ◽  
Chantal Menut ◽  
Edouard Hnawia ◽  
Audrey Illinger ◽  
Pierre Cabalion ◽  
...  

The volatile components obtained by hydrodistillation of leaves of C. neocaledonica Dummer, C. sulcata (Parlatore) Schlechter and N. pancheri (Carrière) de Laubenfels from New Caledonia were investigated for the first time by a combination of GC and GC–MS analysis, and compared with the heartwood oil compositions of the three species. The essential oils from C. sulcata and C. neocaledonica leaves contain a majority of monoterpenes while the leaf oil of N. pancheri is characterized by a high level of sesquiterpenoids. On the basis of the sesquiterpenoid composition of the wood- and leaf oils, N. pancheri is closely related to both New Caledonian Callitris spp. However, C. sulcata and C. neocaledonica oils remain distinct from N. pancheri and the Australian Callitris oils by the presence of compounds biosynthetically related to the bisabolyl cation, mainly barbatenes and thujopsene.


2001 ◽  
Vol 7 (2) ◽  
pp. 178-192 ◽  
Author(s):  
Dale E. Newbury

Abstract The development of the electron microprobe by Raymond Castaing provided a great stimulus to materials science at a critical time in its history. For the first time, accurate elemental analysis could be performed with a spatial resolution of 1 µm, well within the dimensions of many microstructural features. The impact of the microprobe occurred across the entire spectrum of materials science and engineering. Contributions to the basic infrastructure of materials science included more accurate and efficient determination of phase diagrams and diffusion coefficients. The study of the microstructure of alloys was greatly enhanced by electron microprobe characterization of major, minor, and trace phases, including contamination. Finally, the electron microprobe has proven to be a critical tool for materials engineering, particularly to study failures, which often begin on a micro-scale and then propagate to the macro-scale with catastrophic results.


Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1903 ◽  
Author(s):  
Dorota Papciak ◽  
Barbara Tchórzewska-Cieślak ◽  
Andżelika Domoń ◽  
Anna Wojtuś ◽  
Jakub Żywiec ◽  
...  

The article presents changes in the quality of tap water depending on time spent in installation and its impact on the creation of biofilms on various materials (polyethylene (PE), polyvinyl chloride (PVC), chrome-nickel steel and galvanized steel). For the first time, quantitative analyses of biofilm were performed using methods such as: Adenosine 5’-triphosphate (ATP) measurement, flow cytometry, heterotrophic plate count and using fractographical parameters. In the water, after leaving the experimental installation, the increase of turbidity, content of organic compounds, nitrites and nitrates was found, as well as the decrease in the content of chlorine compounds, dissolved oxygen and phosphorus compounds. There was an increase in the number of mesophilic and psychrophilic bacteria. In addition, the presence of Escherichia coli was also found. The analysis of the quantitative determination of microorganisms in a biofilm indicates that galvanized steel is the most susceptible material for the adhesion of microorganisms. These results were also confirmed by the analysis of the biofilm morphology. The roughness profile, the thickness of the biofilm layer can be estimated at about 300 μm on galvanized steel.


2021 ◽  
Vol 14 (1) ◽  
pp. 332
Author(s):  
Mushtaq Ahmad Khan Barakzai ◽  
S.M. Aqil Burney

The objective of this paper is to model and study the impact of high temperature on mortality in Pakistan. For this purpose, we have used mortality and climate data consisting of maximum temperature, variation in monthly temperature, average rainfall, humidity, dewpoint, as well as average air pressure in the country over the period from 2000 to 2019. We have used the Generalized Linear Model with Quasi-Poisson link function to model the number of deaths in the country and to assess the impact of maximum temperature on mortality. We have found that the maximum temperature in the country has a significant impact on mortality. The number of deaths in Pakistan increases as the maximum temperature increases. We found that, as the maximum temperature increase beyond 30 °C, mortality increases significantly. Our results indicate that mortality increases by 27% when the maximum temperature in the country increases from medium category to a very high level. Similarly, the number of deaths in the country increases by 11% when the temperature increases from medium temperature to high level. Furthermore, our study found that when the maximum temperature in the country decreases from a medium level to a low level, the number of deaths in the country decreases by 23%. This study does not consider the impact of other factors on mortality, such as age, medical conditions, gender, geographical location, as well as variability of temperature across the country.


Author(s):  
Marina Moroshkina

Regional development of Russian regions is characterized by a high level of heterogeneity. Researchers highlight a significant number of factors affecting the level of regional development. Geographical factor is recognized as one of the most important factors. The development of border regions is similar to that of Russian regions. The purpose of the research is to determine the differentiation of border regions and to study the dynamics of its change. The object of the research is border regions united in the system. The process of unification of regions is based on geographical location. The subject of the study is the process of regional differentiation. Methods of assessing the convergence of economic entities are the instrument of researching regional differentiation of border regions. The convergence theorem analyzes the interregional differentiation of border regions and considers the possibility of their convergence. As a result of using convergence approaches based on the definition of convergent processes, the coefficient of variation is calculated. On the basis of the calculated values of the coefficient and its change, the possibility of convergence of border regions is assessed and the process of change of interregional differentiation is analyzed. Another direction, on the basis of which the analysis of regional heterogeneity of border regions is based, is the determination of the differentiation coefficient, which allows to determine the level of the gap between polar groups of regions. The goal set in the study will allow assessing the impact of geographical location on economic development and formulating directions of economic policy. Spatial heterogeneity of border regions defined by means of mathematical tools can be used when writing the Program and the Strategy for Regional Development, within which one of the competitive advantages will be the location of the territory.


2021 ◽  
Vol 11 (1) ◽  
pp. 20-28
Author(s):  
Milena Cvjetković ◽  
Marko Vasiljević ◽  
Milovan Cvjetković ◽  
Milica Josimović

In an immense market struggle, the only effective way to build a long-term competitive advantage is to provide a high level of quality. Offering quality to the market, the organization creates loyal consumers on the basis of which it achieves its profitability, growth and development. The research presented in this paper is aimed at determination of the impact of quality on improving business performance and customer satisfaction. Correlation analysis confirmed this influence on the basis of obtained statistically significant mutual relations between the analyzed variables. Quality was shown to have an impact on improving the business performance of the organization, primarily on profitability through the improvement of leadership and relationship management. The impact of quality on customer satisfaction was also confirmed, where the engagement of people and the management of mutual relations had the greatest impact on consumer confidence. The research confirmed that the training of employees in terms of quality had a statistically significant impact on improving customer satisfaction, if it is conducted in an efficient manner.


2020 ◽  
Vol 17 (6) ◽  
pp. 434-437
Author(s):  
Pham Van Khang ◽  
Hoang Phu Hiep ◽  
Ma Lei ◽  
Shen Sida

We report the isolation and determination of the essential oil composition from the leaves and rhizomes of Polianthes tuberosa (P. tuberosa), Polianthes sessiliflora (P. sessiliflora) and Polianthes longiflora (P. longiflora) species. These essential oils were extracted using supercritical CO2 extraction method, and their structures were characterised by GC-FID and GC/MS approaches. Methyl 2-aminobenzoate, isoeugenol, 5-octadecene, benzyl benzoate, 1-nonadecene, and diisobutylphthalate were identified as their major chemical compositions. Moreover, the anti-cancer activity of the total essential oils from these three Polianthes species was evaluated against five cancer cell lines.


Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Z. Cao ◽  
M. Zheng ◽  
Y. Vorobyeva ◽  
C. Song ◽  
N. F. Johnson

Society faces a fundamental global problem of understanding which individuals are currently developing strong support for some extremist entity such as ISIS (Islamic State), even if they never end up doing anything in the real world. The importance of online connectivity in developing intent has been confirmed by recent case studies of already convicted terrorists. Here we use ideas from Complexity to identify dynamical patterns in the online trajectories that individuals take toward developing a high level of extremist support, specifically, for ISIS. Strong memory effects emerge among individuals whose transition is fastest and hence may become “out of the blue” threats in the real world. A generalization of diagrammatic expansion theory helps quantify these characteristics, including the impact of changes in geographical location, and can facilitate prediction of future risks. By quantifying the trajectories that individuals follow on their journey toward expressing high levels of pro-ISIS support—irrespective of whether they then carry out a real-world attack or not—our findings can help move safety debates beyond reliance on static watch-list identifiers such as ethnic background or immigration status and/or postfact interviews with already convicted individuals. Given the broad commonality of social media platforms, our results likely apply quite generally; for example, even on Telegram where (like Twitter) there is no built-in group feature as in our study, individuals tend to collectively build and pass through the so-called super-group accounts.


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