Spectral Data Analysis for a Complex Drug Mixture Containing Altizide, Potassium Canrenoate, and Rescinnamine

From the ethanol extract of Drynaria fortunei (KUNZE) J. Sm., a new phenylpropanoid glycoside, fortunamide (1), was isolated and characterized by spectroscopic methods. Together with a new glycoside, 9 known compounds, including three curcuminoids (2–4), two isoprenylated flavonoids (5, 6), two flavonoids (7, 8), one monoterpenoid (9) and one phenolic acid (10) were isolated and identified by spectral data analysis from the rhizomes of Drynaria fortunei (KUNZE) J. Sm. Eight of them were isolated from Drynaria fortunei (KUNZE) J. Sm. for the first time.

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Quantitative Spectral Data Analysis Using Extreme Learning Machines Algorithm Incorporated with PCA

Algorithms ◽

10.3390/a14010018 ◽

2021 ◽

Vol 14 (1) ◽

pp. 18

Author(s):

Michael Li ◽

Santoso Wibowo ◽

Wei Li ◽

Lily D. Li

Keyword(s):

Data Analysis ◽

Conceptual Framework ◽

Spectral Data ◽

Learning Algorithm ◽

Structural Parameters ◽

Inverse Function ◽

Principal Component ◽

Learning Task ◽

Classification Problems ◽

Spectral Data Analysis

Extreme learning machine (ELM) is a popular randomization-based learning algorithm that provides a fast solution for many regression and classification problems. In this article, we present a method based on ELM for solving the spectral data analysis problem, which essentially is a class of inverse problems. It requires determining the structural parameters of a physical sample from the given spectroscopic curves. We proposed that the unknown target inverse function is approximated by an ELM through adding a linear neuron to correct the localized effect aroused by Gaussian basis functions. Unlike the conventional methods involving intensive numerical computations, under the new conceptual framework, the task of performing spectral data analysis becomes a learning task from data. As spectral data are typical high-dimensional data, the dimensionality reduction technique of principal component analysis (PCA) is applied to reduce the dimension of the dataset to ensure convergence. The proposed conceptual framework is illustrated using a set of simulated Rutherford backscattering spectra. The results have shown the proposed method can achieve prediction inaccuracies of less than 1%, which outperform the predictions from the multi-layer perceptron and numerical-based techniques. The presented method could be implemented as application software for real-time spectral data analysis by integrating it into a spectroscopic data collection system.

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LISA — a powerful program package for Listmode and spectral data analysis

Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment ◽

10.1016/0168-9002(94)90115-5 ◽

1994 ◽

Vol 340 (2) ◽

pp. 379-383 ◽

Cited By ~ 10

Author(s):

A. Oberstedt ◽

F.-J. Hambsch

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Program Package ◽

Spectral Data Analysis

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Research of Uninformative Variable Elimination method for spectral data analysis of milk

Proceedings of 2011 6th International Forum on Strategic Technology ◽

10.1109/ifost.2011.6021246 ◽

2011 ◽

Author(s):

Wang Lijie ◽

Guo Jianying ◽

Ding Xibo ◽

Zhou Zhen ◽

Bai Yamei ◽

...

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Elimination Method ◽

Variable Elimination ◽

Uninformative Variable Elimination ◽

Spectral Data Analysis

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Coumarins and a Naphthyl Labdanoate Diarabinoside from the Fruits of Peucedanum grande C. B. Clarke

Zeitschrift für Naturforschung C ◽

10.1515/znc-2012-11-1208 ◽

2012 ◽

Vol 67 (11-12) ◽

pp. 580-586 ◽

Cited By ~ 1

Author(s):

Mohammad Aslam ◽

Mohammed Ali ◽

Rameshwar Dayal ◽

Kalim Javed

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Chemical Reactions ◽

Wistar Rats ◽

Methanolic Extract ◽

Nephroprotective Activity ◽

Coumarin 1 ◽

Spectral Data Analysis

Phytochemical investigations of the methanolic extract of the fruits of Peucedanum grande C. B. Clarke (Apiaceae) led to the identification of three coumarins and a naphthyl labdanoate diarabinoside characterized as 5-hydroxy-6-isopranyl coumarin (1), 5,6-furanocoumarin (2), 7-methoxy-5,6-furanocoumarin (3), and labdanyl-3α-ol-18-(3’’’-methoxy-2’’’- naphthyl-oate)-3α-L-arabinofuranosyl-(2’→1’’)-α-L-arabinofuranoside (4). The structures of these compounds were identified on the basis of spectral data analysis and chemical reactions. The methanolic extract and 4 showed nephroprotective activity against gentamicininduced nephrotoxicity in Wistar rats.

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Spectral data analysis approaches for improved provenance classification

10.1117/12.2177913 ◽

2015 ◽

Author(s):

Kellen J. Sorauf ◽

Amy J. R. Bauer ◽

Andrzej W. Miziolek ◽

Frank C. De Lucia

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Spectral Data Analysis

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Mumunine - A New Carbazole Alkaloid from Murraya koenigii (Linn.) Spreng

Journal of Scientific Research ◽

10.3329/jsr.v12i4.45499 ◽

2020 ◽

Vol 12 (4) ◽

pp. 665-672

Author(s):

M. Chakraborty

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Structure Elucidation ◽

2D Nmr ◽

Rich Source ◽

Murraya Koenigii ◽

Spectral Data Analysis ◽

Carbazole Alkaloids

The plant Murraya koenigii, commonly known as curry leaf tree is a rich source of carbazole alkaloids. A number of monomeric as well as dimeric carbazoles with C13, C18 and C23 skeleton have been isolated from the plant. In my present work, a new carbazole alkaloid, designated as mumunine, was isolated from the bark of Murraya koenigii (Linn) Spreng, along with a known carbazole alkaloid, viz. mahanimbine. The structure of the new alkaloid 1 was elucidated on the basis of 1D and 2D NMR spectral data analysis. In this paper, the isolation and structure elucidation of the new compound will be discussed in detail.

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Phenolic Derivatives with an Irregular Sesquiterpenyl Side Chain from Macaranga pruinosa

Natural Product Communications ◽

10.1177/1934578x1000500209 ◽

2010 ◽

Vol 5 (2) ◽

pp. 1934578X1000500 ◽

Cited By ~ 2

Author(s):

Yana M. Syah ◽

Emilio L. Ghisalberti

Keyword(s):

Data Analysis ◽

Spectral Data ◽

Natural Compounds ◽

Acetone Extract ◽

Side Chain ◽

Phenolic Derivatives ◽

Spectral Data Analysis

A stilbene and two flavonoid derivatives, macapruinosins A-C (1-3), together with two known flavonoids, papyriflavonol A and nymphaeol C, have been isolated from the acetone extract of the leaves of Macaranga pruinosa. The structures of these compounds were identified based on spectral data analysis. Compounds 1 and 2 are the first examples of natural compounds containing an irregular sesquiterpenyl side chain with a cyclobutane skeleton.

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