Integrated Analytical Tools for Accessing Acridones and Unrelated Phenylacrylamides from Swinglea glutinosa

In natural product studies, the purification of metabolites is an important challenge. To accelerate this step, alternatives such as integrated analytical tools should be employed. Based on this, the chemical study of Swinglea glutinosa (Rutaceae) was performed using two rapid dereplication strategies: Target Analysis (Bruker Daltonics®, Bremen, Germany) MS data analysis combined with MS/MS data obtained from the GNPS platform. Through UHPLC-HRMS data, the first approach allowed, from crude fractions, a quick and visual identification of compounds already reported in the Swinglea genus. Aside from this, by grouping compounds according to their fragmentation patterns, the second approach enabled the detection of eight molecular families, which presented matches for acridonic alkaloids, phenylacrylamides, and flavonoids. Unrelated compounds for S. glutinosa have been isolated and characterized by NMR experiments, Lansamide I, Lansiumamide B, Lansiumamide C, and N-(2-phenylethyl)cinnamamide.

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Potential for identifying plant-based toxins on San hunter-gatherer arrowheads

South African Journal of Science ◽

10.17159/sajs.2017/20160210 ◽

2017 ◽

Vol Volume 113 (Number 3/4) ◽

Cited By ~ 4

Author(s):

Madelien Wooding ◽

Justin Bradfield ◽

Vinesh Maharaj ◽

Dwayne Koot ◽

Lyn Wadley ◽

...

Keyword(s):

Chemical Study ◽

Ultra Performance Liquid Chromatography ◽

Poisonous Plants ◽

Toxic Compounds ◽

Archaeological Material ◽

The Past ◽

Fresh Plant Material ◽

Fragmentation Patterns ◽

Toxic Plant ◽

By Products

Abstract The antiquity of the use of hunting poisons has received much attention in recent years. In this paper we present the results of a pilot study designed to detect the presence of organic compounds, typically of less than 1200 Da, from poisonous plants that may have been used as hunting poisons in the past. We used ultra-performance liquid chromatography connected to a Synapt G2 high-resolution MS-QTOF mass spectrometer (UPLC-QTOF-MS) to provisionally identify plant-based toxins present in (1) extracts of fresh plant material, (2) a blind control recipe consisting of three plant ingredients and (3) a Hei||om arrow poison of unknown ingredients. Although not all expected toxic compounds were identified, those that were identified compared favourably with those reported in the literature and confirmed through databases, specifically the Dictionary of Natural Products and ChemSpider. MS/MS fragmentation patterns and accurate mass were used for tentative identification of compounds because archaeological residues usually contain insufficient material for unambiguous identification using nuclear magnetic resonance. We highlight the potential of this method for accurately identifying plant-based toxins present on archaeological artefacts and unique (albeit non-toxic) chemical markers that may allow one to infer the presence of toxic plant ingredients in arrow poisons. Any chemical study of archaeological material should consider the unique environmental degradative factors and be sensitive to the oxidative by-products of toxic compounds.

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Capillasterin A, a Novel Pyrano[2,3-f]chromene from the Australian Crinoid Capillaster multiradiatus

Marine Drugs ◽

10.3390/md17010026 ◽

2019 ◽

Vol 17 (1) ◽

pp. 26 ◽

Cited By ~ 2

Author(s):

Kah Yean Lum ◽

Anthony R. Carroll ◽

Merrick G. Ekins ◽

Silven Read ◽

Zahra Haq ◽

...

Keyword(s):

Data Analysis ◽

T Cell ◽

Natural Product ◽

Cell Line ◽

Methyl Ether ◽

2D Nmr ◽

First Report ◽

Hiv 1

Capillasterin A (1), a novel pyrano[2,3-f]chromene, together with seven known naphthopyrones including comaparvin (2), TMC-256C1 (3), 6-methoxycomaparvin-5- methyl ether (4), 5,8-dihydroxy-6-methoxy-2-propyl-4H-naphtho[2,3-b]pyran-4-one (5), 5,8-dihydroxy-6,10-dimethoxy-2-propyl-4H-naphtho[2,3-b]pyran-4-one (6), TMC-256A1 (7) and 6-methoxycomaparvin (8) were isolated from an EtOH/H2O extract from the Australian crinoid Capillaster multiradiatus. The structures of all the compounds were determined by detailed spectroscopic (1D/2D NMR and MS) data analysis. This is the first report of a natural product that contains the pyrano[2,3-f]chromene skeleton. Compounds 2–6 were observed to display moderate inhibition of in vitro HIV-1 replication in a T cell line with EC50 values ranging from 7.5 to 25.5 µM without concomitant cytotoxicity.

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Overview on the Analytical Tools for Quality Control of Natural Product-Based Supplements: A Case Study of Ginseng

Assay and Drug Development Technologies ◽

10.1089/adt.2005.3.683 ◽

2005 ◽

Vol 3 (6) ◽

pp. 683-699 ◽

Cited By ~ 21

Author(s):

Kevin Yi-Lwern Yap ◽

Sui Yung Chan ◽

Yew Weng Chan ◽

Chu Sing Lim

Keyword(s):

Quality Control ◽

Natural Product ◽

Analytical Tools

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Investigating Aerobic Endurance in Municipality and Countryside Undergraduate at College Level in District Nowshera

Research Journal of Social Sciences and Economics Review (RJSSER) ◽

10.36902/rjsser-vol1-iss3-2020(280-284) ◽

2020 ◽

Vol 1 (3) ◽

pp. 280-284

Author(s):

Bahar Hussain ◽

Prof. Dr. Abdul Waheed Mughal ◽

Farooq Hussain

Keyword(s):

Data Analysis ◽

Random Sampling ◽

Simple Random Sampling ◽

College Level ◽

Analytical Tools

The investigation aimed to analyze the endurance of 16-18-year College undergraduates and to make comparability between municipality and countryside undergraduates in district Nowshera. The accessible population of the investigation was chosen from College undergraduates (300) by simple random sampling, and colleges were chosen by convenient sample procedures. The test applied to quantify undergraduates’ endurance was 360 seconds race (360-SR). Data were composed and analyzed by applying SPSS version 20. Quantitative analytical tools were applied to analyze the data. The data analysis replicates that countryside undergraduate had comparatively and suggestively developed durability than their equals residing in Municipality extents.

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Analisis Akurasi Multivariate Discriminant Analysis (MDA) Altman dalam Memprediksi Kebangkrutan Perusahaan di Bursa Efek Indonesia

10.31227/osf.io/2a45p ◽

2019 ◽

Author(s):

Komang Agus Rudi Indra Laksmana

Keyword(s):

Data Analysis ◽

Discriminant Analysis ◽

Analytical Tool ◽

Multivariate Discriminant Analysis ◽

Analysis Techniques ◽

Financial Difficulties ◽

Accuracy Level ◽

Analytical Tools ◽

Multivariate Discriminant ◽

A Company

The Altman Multivariate Discriminant Analysis (MDA) model, which is often called the Altman MDA, is one of the analytical tools in predicting corporate bankruptcy through a combination of liquidity ratio, profitability, leverage and activity equations. Aside from being an analytical tool, Altman's MDA equation is also used to characterize or distinguish one group of companies from another group of companies. From the data analysis techniques obtained results there are differences in financial performance between delist and non-delist companies based on Altman MDA calculations and MDA Altman obtained the accuracy level in predicting financial difficulties and bankruptcy of a company to discriminate 2 groups of companies (delist and non-delist) accuracy reaches an average of 90%. So that it can be said that the Altman MDA equation examined in this study is feasible to use to predict the difficulties and bankruptcy of a company

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A cognitive approach to improving the quality of the customs authorities' analytic activities

Economic Analysis Theory and Practice ◽

10.24891/ea.19.3.416 ◽

2020 ◽

Vol 19 (3) ◽

pp. 416-429

Author(s):

V.V. Makrusev ◽

A.A. Sobol'

Keyword(s):

Big Data ◽

Data Analysis ◽

Data Processing ◽

Cognitive Modeling ◽

Cognitive Approach ◽

Systems Methodology ◽

Big Data Processing ◽

Acceptable Method ◽

Analytical Tools

Subject. The article considers prospects for enhancing the quality of analytical activities of the Customs authorities through a cognitive approach implementation. Objectives. The aim is to formulate promising areas for improving the quality of analytical work of the Customs authorities by using a cognitive approach, to develop a concept for managing the analytical activities based on knowledge. Methods. The study rests on systems methodology and institutional theory. It also employs cognitive modeling techniques. Results. We show the process of transferring disparate data into knowledge, consider basic methods of big data processing, and identify the most acceptable method of customs data analysis. The paper discloses the contents and elements of the cognitive approach in analytical activities of on-line monitoring centers and describes an experiment with the application of data mining technology on the basis of the Federal Customs Service of Russia. We recommend the said approach to analytical and ICT units of organizations operating in the field of customs services. Conclusions. Current trends in software development, the use of electronic forms of customs documents, and continuously expanded list of analytical tools for big data processing entail the need for changing traditional approaches to information analysis to assess customs risks. The expert method should be supplemented with new, previously unused decision support tools, such as tools that enable automated big data analysis.

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MEREDUKSI KECELAKAAN LISTRIK DAN PENINGKATAN EFISIENSI ENERGI LISTRIK PADA GEDUNG PERKANTORAN TUA MELALUI RETROFITTING

KURVATEK ◽

10.33579/krvtk.v1i1.220 ◽

2016 ◽

Vol 1 (1) ◽

pp. 10

Author(s):

Iyus Rusmana

Keyword(s):

Energy Consumption ◽

Data Analysis ◽

Power Consumption ◽

Peak Load ◽

Office Buildings ◽

Electrical Safety ◽

Visual Identification ◽

Storey Building ◽

Electrical Installation

AbstrakKebakaran pada gedung perkantoran sering kali disebabkan oleh kecelakaan listrik, terutama gedung tinggi yang rata-rata berusia lebih dari 20 tahun. Hal tersebut merupakan akibat dari perubahan fungsi ruang yang tidak diimbangi dengan penyesuaian instalasi listrik yang memadai. Di samping itu, minimnya pemeliharaan turut serta memperburuk keamanan dan kualitas daya guna listrik. Untuk mengatasi hal tersebut, salah satu upaya yang dapat dilakukan adalah dengan cara retrofitting. Penelitian dilakukan melalui survey pengukuran dan observasi visual pada gedung perkantoran di Jakarta. Setelah dilakukan retrofitting dari hasil analisis data, dapat ditunjukan bahwa konsumsi energi pada beban puncak dapat dihemat sampai dengan 27%. Sedangkan resiko kecelakaan listrik dapat ditekan serendah-rendahnya dengan memperbaiki sistem instalasinyaKata kunci : Retrofitting, Kecelakaan Listrik, Efisiensi AbstractFire case in office buildings mostly occurs by some electrical accidents; especially it happens in most multi-storey building with twenty years old or more. It caused by some altering room function without any proper electrical installation adjustment. Moreover, less-maintenance issue made its installation quality, electrical safety and efficiency getting worse. Those issues can generates some electrical hazard risks, and also turns out of abundant energy consumption. These problems can be resolved by retrofitting. The research was conducted in Jakarta by measuring survey and visual identification. According to the data analysis, retrofitting can reduce about 27% building power consumption at peak load and it can avoid any electrical hazards.Key words : retrofitting, electrical hazard, efficiency

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Current exploratory and confirmatory issues in data analysis in psychology

International journal of psychological research ◽

10.21500/20112084.818 ◽

2010 ◽

Vol 3 (1) ◽

pp. 4-8

Author(s):

Fernando Marmolejo-Ramos

Keyword(s):

Data Analysis ◽

San Francisco ◽

Exploratory Data Analysis ◽

American Psychological Association ◽

Statistical Hypothesis ◽

Statistical Hypothesis Testing ◽

American Psychological ◽

Exploratory Data ◽

Confirmatory Data Analysis ◽

Analytical Tools

In 1968 John Tukey gave a speech at the American Psychological Association in San Francisco about the relevance of proper data analysis in Psychology (Tukey, 1969). His closing message was that “data analysis needs to be both exploratory and confirmatory” (p. 90). Exploratory data analysis (or EDA) is an approach to analysing data in order to formulate sound hypotheses, whereas confirmatory data analysis (CDA) is a method to test those hypotheses (a.k.a., statistical hypothesis testing). As Tukey announced in his speech, these two analytical tools have been, and are somewhat still, at odds. This special issue presents sixteen papers that cover relevant topics in EDA and CDA with the purpose of bringing together seemingly disparate issues.

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An overview of tools, software, and methods for natural product fragment and mass spectral analysis

Physical Sciences Reviews ◽

10.1515/psr-2018-0126 ◽

2019 ◽

Vol 4 (9) ◽

Author(s):

Aurélien F. A. Moumbock ◽

Fidele Ntie-Kang ◽

Sergi H. Akone ◽

Jianyu Li ◽

Mingjie Gao ◽

...

Keyword(s):

Natural Product ◽

Chemical Structure ◽

Mass Spectral Analysis ◽

Computational Tools ◽

Mass Spectral ◽

Fragmentation Patterns ◽

Automated Software ◽

Spectral Libraries ◽

Fragmentation Trees

Abstract One major challenge in natural product (NP) discovery is the determination of the chemical structure of unknown metabolites using automated software tools from either GC–mass spectrometry (MS) or liquid chromatography–MS/MS data only. This chapter reviews the existing spectral libraries and predictive computational tools used in MS-based untargeted metabolomics, which is currently a hot topic in NP structure elucidation. We begin by focusing on spectral databases and the general workflow of MS annotation. We then describe software and tools used in MS, particularly those used to predict fragmentation patterns, mass spectral classifiers, and tools for fragmentation trees analysis. We then round up the chapter by looking at more advanced approaches implemented in tools for competitive fragmentation modeling and quantum chemical approaches.

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PENGARUH KOMPENSASI TERHADAP KINERJA PERUSAHAAN PADA PT. BERLIAN JASA TERMINAL INDONESIA CABANG KUPANG

10.31227/osf.io/cjhau ◽

2019 ◽

Author(s):

Akbar Yusuf

Keyword(s):

Quality Of Life ◽

Data Analysis ◽

Quantitative Analysis ◽

Work Environment ◽

Analysis Method ◽

Improve Performance ◽

Financial Compensation ◽

Monetary Compensation ◽

Analytical Tools

To improve performance, companies have to deal with several ways: by providing adequate compensation in accordance with the contribution of the company and a quality of life as well as a conducive work environment to create. This study aimed to determine the effect of the financial compensation and non-financial compensation performance of the company PT. Berlian Jasa Terminal Indonesia Branch Kupang, the influence of financial and non-financial compensation simultaneously on the performance of PT. Berlian Jasa Terminal Indonesia Branch Kupang. The sample is in this study was 64 respondents were distributed to employees of PT. Berlian Jasa Terminal Indonesia Branch Kupang. Data analysis method is used, the quantitative analysis and use of analytical tools SmartPLS3. The results of the study for financial compensation positive and significant impact on the performance of PT. Berlian Jasa Terminal Indonesia Branch Kupang, non-monetary compensation is also positive and significant impact on the performance of PT. Berlian Jasa Terminal Indonesia Branch Kupang, financial and nonfinancial compensation simultaneously positive and significant impact on the performance of PT. Berlian Jasa Terminal Indonesia Branch Kupang.

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