scholarly journals A Quantitative Analysis Model Established to Determine the Concentration of Each Source in Mixed Astaxanthin from Different Sources

Molecules ◽  
2020 ◽  
Vol 25 (3) ◽  
pp. 628
Author(s):  
Xiping Du ◽  
Xin Wang ◽  
Manli Bai ◽  
Shaosong Liu ◽  
Gaoling Huang ◽  
...  

Astaxanthin from different sources possesses different biological activities and optical isomers. The ingredients of astaxanthin mixtures from different sources on the market have often been mislabeled. Therefore, it is important to determine the sources of astaxanthin and their respective concentrations in a mixture. To solve this problem, a quantitative analysis model was established and further verified. The results showed that the deviation between the calculated concentration and the actual concentration ranged from 0 to 7 µg/mL, and the recovery rate was between 88.90% and 103.56%. This indicates that the quantitative analysis model of astaxanthin was feasible and reliable. This study not only has important applications in the astaxanthin mixture component determination but may also shed light on the quantitative analysis of other sample mixtures with stereoisomers from different sources.

Molecules ◽  
2021 ◽  
Vol 26 (13) ◽  
pp. 3777
Author(s):  
Yuemei Ye ◽  
Jingwen Sun ◽  
Liting Wang ◽  
Junwang Zhu ◽  
Wei Cui ◽  
...  

As an abundant marine xanthophyll, fucoxanthin (FX) exhibits a broad range of biological activities. The preparation of high-purity FX is in great demand, however, most of the available methods require organic solvents which cannot meet the green chemistry standard. In the present study, a simple and efficient purification approach for the purification of FX from the brown seaweed Sargassum horneri was carried out. The FX-rich ethanol extract was isolated by octadecylsilyl (ODS) column chromatography using ethanol–water solvent as a gradient eluent. The overwhelming majority of FX was successfully eluted by the ethanol–water mixture (9:1, v/v), with a recovery rate of 95.36%. A parametric study was performed to optimize the aqueous ethanol precipitation process by investigating the effects on the purity and recovery of FX. Under the optimal conditions, the purity of FX was 91.07%, and the recovery rate was 74.98%. Collectively, the eco-friendly method was cost-efficient for the purification of FX. The developed method provides a potential approach for the large-scale production of fucoxanthin from the brown seaweed Sargassum horneri.


Author(s):  
Rodrigo Arturo Salazar Jiménez

La información que se presenta en este artículo se centra en la evaluación de la implementación de cinco propuestas didácticas en Ciencias Sociales, para el desarrollo de la competencia Social y Ciudadana, particularmente en la percepción del profesorado sobre el material propuesto. Los resultados se obtuvieron por medio de encuestas que los y las docentes de nueve institutos de Cataluña debían responder antes de aplicar las unidades didácticas y después de cada una de las sesiones. El procesamiento de la información se realizó con un modelo de análisis cuantitativo con el uso del programa Excel. Entre los principales resultados que podemos destacar de la información entregada por los nueves docentes que aplicaron el material: el profesorado hace una evaluación positiva de las unidades didácticas; las actividades son motivadoras para el alumnado; por último, que para los y las docentes el material resulta útil para conseguir los objetivos de aprendizaje propuestos al alumnado.   The information presented in this article focuses on the evaluation of the implementation of five didactic proposals in Social Sciences, for the development of Social and Citizen competence, particularly in the perception of the teaching staff about the proposed material. The results were obtained through surveys that the teachers of nine institutes in Catalonia had to answer before applying the teaching units and after each of the sessions. The processing of the information was done with a quantitative analysis model with the use of the Excel program. Among the main results we can highlight the information provided by the nine teachers who applied the material: the teachers make a positive evaluation of the teaching units; the activities are motivating for the students; finally, that for teachers the material is useful to achieve the learning objectives proposed to the students.


1994 ◽  
Vol 42 (4) ◽  
pp. 877-882 ◽  
Author(s):  
Toshiya MORIE ◽  
Shiro KATO ◽  
Hiroshi HARADA ◽  
Naoyuki YOSHIDA ◽  
Jun-ichi MATSUMOTO

2021 ◽  
Author(s):  
I. Sumantri

BH field is one of the Globigerina limestone gas reservoir that exhibits strong seismic direct hydrocarbon indicator (DHI). This field is a 4-way dip faulted closure with Globigerina limestone as the main reservoir objective. The field was discovered back in 2011 by BH-1 exploration well and successfully penetrated about 350ft gross gas pay. BH-1 well was plugged and abandoned as Pliocene Globigerina limestone Mundu-Selorejo sequence gas discoveries. The laboratory analysis of sampled gas consists of 97.8% of CH4 and indicating a biogenic type of gas. This is the only exploration well drilled in this field and located on the crest of the structure. Seismic analysis both qualitative and quantitative, are common tools in delineating and characterizing reservoir. These methods usually make use of seismic data and well log collaboratively in the quest to reveal reservoir features internally. The lack of appraisal well in the area of study made the reservoir characterization process must be carried out thoroughly, incorporating several seismic datasets, both PSTM and PSDM, seismic gathers and stacks. Bounded by appraisal well limitation, this research looks into Gassmann's fluid substitution modeling, seismic forward modeling to confirm the DHI flat spot presence in the seismic, as well as seismic AVO analysis. Meanwhile, for quantitative analysis, model-based seismic post-stack inversion and simultaneous seismic pre-stack inversion were conducted in order to delineate the distribution of Globigerina limestone gas reservoir in BH Field. Through comprehensive analyses of qualitative and quantitative methods, this research may answer the challenge on how to intensively utilize seismic data to compensate the lack of appraisal well data in order to keep delivering a proper subsurface reservoir delineation.


2019 ◽  
Vol 2019 ◽  
pp. 1-10 ◽  
Author(s):  
Ying Zhang ◽  
Yuewu Wang ◽  
Song Yang ◽  
Yunfeng Xiao ◽  
Haibin Guan ◽  
...  

As a well-known Chinese herb medicine, the Cistanche deserticola has been used for the treatment of kidney deficiency syndrome in China for thousands of years. Both the raw product of Cistanche deserticola slices (RCD) and its Wine Steam-Processed Product (WSCD) are used clinically for different effects. In this study, the influences of steaming process with wine (SPW) from Cistanche deserticola on chemical compositions and biological effects were investigated. The principal component analysis (PCA) and quantitative analysis were used to study the differences of the chemical compositions. The effects of nourishing kidney were also investigated to compare the differences between the RCD and the WSCD. The PCA results indicated that the obvious separation was achieved in the RCD and WSCD. The results of quantitative analysis showed that the WSCD has higher amounts of total polysaccharides, total PhGs, isoacteoside, and osmanthuside B than RCD, while the content of 2′-acetylacteoside and acteoside decreased after the SPW. The comparison of RCD and WSCD on biological activities showed that both could restore the level of sex hormone in the model of kidney-yang deficiency and improve the antioxidant effect. The WSCD were much better in increasing the viscera weight of kidney and seminal vesicle. The results indicated that SPW changed its chemical components and enhanced its biological activities.


2013 ◽  
Vol 753-755 ◽  
pp. 2265-2268
Author(s):  
Xue Gang Li ◽  
Xiu Ling Lv ◽  
Yi Zhang

According to difference absorption spectrum mixed gas absorption spectrum in technology overlapping problem, a DOAS technology based on the PSO and LS-SVM fusion method was proposed. First, SO2, NO respectively to construct a quantitative analysis model by LS-SVM, And then, using PSO is strong optimization ability of least square support vector machine (SVM) the optimization of the parameters of the algorithm, and then, LS-SVMs parameter are optimized with PSO of the powerful searching ability, Finally, rebuilt the quantitative analysis model. Experiments show that using the improved DOAS method is feasible in solving the mixed gas spectrum overlap problem which has certain practical significance.


2019 ◽  
Vol 4 (4) ◽  
pp. 248-255
Author(s):  
C.V. Bisen ◽  
M.R. Patle ◽  
R.M. Patle

In present study, at the beginning, the molecules whose biological properties are known are well-thought-out as a known set for regression analysis model building purpose. Using the Datawarrior software the descriptors were calculated for known set. Novel substituted 4-hydrazinylqunoline molecules were designed, improved and their descriptors were calculated. Morever, the regression analysis model was used to determine the biological activities of these new molecules. Along with this, the inhibition studies for 1QPQ and 1KNC by molecular docking method were also carried out to validate the therapeutic nature of these molecules. Accordingly, it can be concluded that these moieties on further studies may evident to be therapeutic representative against Mycobacterium tuberculosis.


Author(s):  
Abdullah Talha Kabakus

Web 2.0 technologies have not only raised microblogs, but also social software development and collaboration platforms. GitHub is the most popular software development platform that provides social collaboration. Within the scope of this study, a novel graph-based analysis model is proposed which targets to reveal (1) the characteristics of the GitHub in order to shed light on social software development in general, and (2) the most popular programming languages, repositories, and developers in order to shed light on the trending software development technologies. To this end, a subset of the GitHub network, which contains 84, 737 developers and 209, 100 repositories, was collected through the GitHub API and stored on a graph database namely neo4j to be later analyzed. The result of the analysis shows that (1) the connections in GitHub are not mutually linked, (2) JavaScript, Python, and Java are currently the most popular three programming languages, (3) You-Dont-Know-JS, oh-my-zsh, and public-apis are the most popular three repositories, and (4) TarrySingh (Tarry Singh), indrajithban-dara (Indrajith Bandara), and rootsongjc (Jimmy Song) are the most popular three developers. Furthermore, the proposed novel analysis model can be easily applied to other social networks.


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