scholarly journals A New Method for Simultaneous Determination of Phenolic Acids, Alkaloids and Limonoids in Phellodendri Amurensis Cortex

Molecules ◽  
2019 ◽  
Vol 24 (4) ◽  
pp. 709 ◽  
Author(s):  
Yao Chen ◽  
Zhao Zhang ◽  
Yang Zhang ◽  
Xiaomei Zhang ◽  
Zhipeng Zhang ◽  
...  

Phellodendri Amurensis Cortex (PAC) is a well-known herbal medicine in China with complex components, but the previous research has mostly focused on its alkaloids analysis. For the first time, a simpler and more efficient method was proposed in this paper to simultaneously determine the content of three different kinds of compounds—phenolic acids, alkaloids and limonoids—in PAC. The phenolic acids included 3-O-feruloylquinic acid, 4-O-feruloylquinic acid and syringin. The alkaloids include magnoflorine, phellodendrine, jatrorrhizine, palmatine and berberine, while the limonoids include obaculactone and obacunone. An approach combining multi-wavelength and HPLC-DAD was used in this study due to the great difference in maximum absorption wavelength of the various components. Four wavelengths at 215, 275, 280 and 310 nm, respectively, were chosen for monitoring. It has been indicated through appropriate tests that this approach is of high accuracy, good repeatability and stability and provides a scientific basis for the quality assessment of PAC and associated derivatives. In addition, the chromatographic fingerprints method combined with multivariate statistical analysis chosen in this study was proved to be effective and reasonable for an accurate classification of 33 batches of samples collected from different locations.

2020 ◽  
Vol 190 (3) ◽  
pp. 342-351
Author(s):  
Munir S Pathan ◽  
S M Pradhan ◽  
T Palani Selvam

Abstract In the present study, machine learning (ML) methods for the identification of abnormal glow curves (GC) of CaSO4:Dy-based thermoluminescence dosimeters in individual monitoring are presented. The classifier algorithms, random forest (RF), artificial neural network (ANN) and support vector machine (SVM) are employed for identifying not only the abnormal glow curve but also the type of abnormality. For the first time, the simplest and computationally efficient algorithm based on RF is presented for GC classifications. About 4000 GCs are used for the training and validation of ML algorithms. The performance of all algorithms is compared by using various parameters. Results show a fairly good accuracy of 99.05% for the classification of GCs by RF algorithm. Whereas 96.7% and 96.1% accuracy is achieved using ANN and SVM, respectively. The RF-based classifier is recommended for GC classification as well as in assisting the fault determination of the TLD reader system.


Zootaxa ◽  
2006 ◽  
Vol 1138 (1) ◽  
pp. 1 ◽  
Author(s):  
PETER MARTIN

Morphological data on the larvae of 37 species of freshwater mites (Hydrachnidia) known from springs in Luxembourg are reported. Larvae of Sperchon insignis (Walter, 1906), S. longissimus K.Viets, 1920, Lebertia holsatica K. Viets, 1920, Atractides fonticolus (K.Viets, 1920) and, with a question mark, A. pennatus (K.Viets, 1920) are described for the first time; re-descriptions are presented for Sperchon squamosus Kramer, 1879 and S. setiger Thor, 1898. Previous larval descriptions are listed and commented on for all species. Two species are recorded as new for the Luxembourgian fauna: Panisellus thienemanni (K.Viets, 1920) and Pseudofeltria scourfieldi Soar, 1904. A further taxon previously not recorded from springs in Luxembourg is described, probably Tiphys Koch, 1836 sp. An illustrated key is presented suitable for the determination of most parasitic water mite larvae attached to insect hosts from Luxembourgian springs.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Ning Yu ◽  
ChenHui He ◽  
Gulistan Awuti ◽  
Cheng Zeng ◽  
JianGuo Xing ◽  
...  

In this study, a sensitive, precise, and accurate HPLC-UV method was developed and validated to simultaneously determine the six analytes (luteolin-7-O-β-D-glucuronide, apigenin-7-O-β-D-glucuronide, diosmetin-7-O-β-D-glucuronide, acacetin-7-O-β-D-glucuronide, tilianin, and rosmarinic acid) in Yixin Badiranjibuya Granules, in which five analytes (i.e., luteolin-7-O-β-D-glucuronide, apigenin-7-O-β-D-glucuronide, diosmetin-7-O-β-D-glucuronide, acacetin-7-O-β-D-glucuronide, and rosmarinic acid) were determined for the first time in Yixin Badiranjibuya Granules, the content of tilianin in Yixin Badiranjibuya Granules was reported in other literatures, and the content of tilianin in our work was higher than that of the literature reports. The quality of 11 batch samples from four different manufacturers was evaluated using the proposed determination method. The contents of the six analytes were largely different among samples from various manufacturers. Therefore, this determination method can provide a scientific basis for quality evaluation and control of Yixin Badiranjibuya Granules.


2003 ◽  
Vol 212 ◽  
pp. 572-573 ◽  
Author(s):  
Pierre Royer ◽  
Ingemar Lundström ◽  
Jean-Marie Vreux

NGC 595 is, after NGC 604, the second most luminous H ii region in the Milky Way's neighbouring spiral galaxy M 33. Its Wolf-Rayet star content has mainly been unveiled by two different channels. On the one hand, the stellar population of NGC 595 has been resolved and its WR stars identified through online/off-line H ii λ4686 observations realised with the HST. Nevertheless, due to the limited number of filters used, this did not give any information on the WR spectral subtypes. On the other hand, spectroscopic observations of NGC 595, realised at optical and ultraviolet wavelengths, have enabled the determination of some spectral subtypes, but this time, the lack of angular resolution did not allow to resolve the whole population. Thanks to our photometric technique, based on five dedicated narrow-band filters, we present here a determination of the spectral subtypes of NGC 595 WR stars which for the first time combines high-angular resolution and high-‘spectroscopic’ discrimination capabilities.


Forests ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 40
Author(s):  
Jure Zekič ◽  
Irena Vovk ◽  
Vesna Glavnik

Invasive alien plant species Canadian goldenrod (Solidago canadensis L.) and giant goldenrod (Solidago gigantea Aiton) were investigated as a source of phytochemicals and yellow dyes. Flavonoids and phenolic acids were extracted from the inflorescence of Canadian goldenrod with thirteen extraction solvents ethanol, methanol, acetone, water, and mixtures of organic solvents (70%, 80%, and 90%) with water. High performance thin-layer chromatography (HPTLC) coupled to densitometry and high-performance liquid chromatography with photo-diode array detector (HPLC-PDA) were used for analyses of the obtained sample test solutions (STSs), which showed the best and comparable extraction efficiencies for 70% acetone(aq), 70% methanol(aq), and 70% ethanol(aq). HPTLC combined with image analyses in fluorescent mode resulted in different chromatographic fingerprints for Canadian goldenrod and giant goldenrod STSs (70% acetone(aq)) after development, after post-chromatographic derivatization with NP reagent and after use of PEG reagent. The developed HPLC methods enabled analyses of phenolic acids and flavonoids (aglycones and glycosylated) in STSs and hydrolyzed STSs form inflorescence of Canadian and giant goldenrod. Different contents of chlorogenic acid, rutin, hyperoside, isoquercetin, and quercetin were observed in STSs of both goldenrod species. The analyses of hydrolyzed STSs confirmed that glycosylated flavonoids in Canadian and giant goldenrod inflorescence are mainly glycosides of quercetin, kaempferol, and isorhamnetin. Additional analyses using HPTLC and HPLC coupled to tandem mass spectrometry (MS/MS; HPTLC-MS/MS and LC-MS/MS) enabled tentative identification of phenolic acids and flavonoids (10 with HPTLC-MS/MS and 15 with LC-MS/MS), from which several were identified in Canadian (4 with HPTLC-MS/MS and 8 with LC-MS/MS) and in giant (7 with HPTLC-MS/MS and 9 with LC-MS/MS) goldenrod for the first time.


Author(s):  
Pavels GAVRILOVS ◽  
Viktors IVANOVS

For the first time at the Riga Technical University a study was carried out of a highly defective frog core of grade 1/9. In the course of the research an analysis of crossing piece defects on the Latvian railway was carried out in eight railway sections during years of 2015, 2016, 2017. The defect of the frog core of grade 1/9 (the 60 E1 DO 07 12 frog type) was considered according to the basic classification of the defects, and the analysis and research of the cause of its fracture were conducted from the bolt hole to the web and the base of the frog core. The research process consisted of four stages:  Stage 1: determination of metal hardness according to the Brinell scale with a modern device “Tinius O Olsen” Firmware Version 1.07, FH - 31 Series. The obtained results should be compared with the data of the manufacturer's factory – Dowlais Steel.  Stage 2: determination of the chemical composition of the rail steel of the frog core 1/9 (in the rail top, rail web, and rail base) using the ARC-MET 8000 Mobile Lab Optical Emission Spectometer Analyser. The obtained data should be compared with the manufacturer's data.  Stage 3: determination of the rail steel structure. Drawing of main conclusions about the quality of the rail steel of the frog core of grade 1/9.  Stage 4: drawing of main conclusions and summary of the cause and development of the fracture from the bolt hole of the frog core of grade 1/9.


Author(s):  
Hayriye Atik ◽  
Fatma Ünlü

The importance of global public goods (GPGs) is increasing every day. As a result, the concept become an important part of international policymaking. There is a huge literature on the definition and classification of GPGs, as well as the financing problems of them. GPGs are generally financed through the development aids given by international organizations and some developed countries. Literature is generally concentrated on the determination of the amount of aids devoted to different categories of GPGs, such as environment, health, peace-keeping, and knowledge. Differently from the literature, a new and more general classification is also used in this chapter. The main sectors included in the analysis are social infrastructure and services, economic infrastructure and services, production sectors, multi-sector/gross cutting, and humanitarian aid. For the first time in the literature, principal components and cluster analysis methodologies were used to determine the performance of the countries providing official development aids in this study.


Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4118
Author(s):  
Peng Yu ◽  
Muhan Deng ◽  
Yi Yang ◽  
Beixi Nie ◽  
Shaoyu Zhao

The concentrations of nitrite and thiocyanate in saliva can be used as the biomarkers of the progression of periodontitis disease and environmental tobacco smoke exposure, respectively. Therefore, it is particularly necessary to detect these two indicators in saliva. Herein, the three-dimensional single-layered paper-based microfluidic analytical devices (3D sl-μPADs) were, for the first time, fabricated by the spraying technique for the colorimetric detection of nitrite and thiocyanate at the same time. The conditions for 3D sl-μPADs fabrication were optimized in order to well control the penetration depth of the lacquer in a paper substrate. Then, the developed 3D sl-μPADs were utilized to simultaneously detect nitrite and thiocyanate and the limits of detection are 0.0096 and 0.074 mM, respectively. What is more, the μPADs exhibited good specificity, good repeatability, and acceptable recoveries in artificial saliva. Therefore, the developed 3D sl-μPADs show a great potential to determine nitrite and thiocyanate for the assessment of the human health.


2019 ◽  
Vol 625 ◽  
pp. A14 ◽  
Author(s):  
V. Ripepi ◽  
R. Molinaro ◽  
I. Musella ◽  
M. Marconi ◽  
S. Leccia ◽  
...  

Context. Classical Cepheids are the most important primary indicators for the extragalactic distance scale. Establishing the precise zero points of their period-luminosity and period-Wesenheit (PL/PW) relations has profound consequences on the estimate of H0. Type II Cepheids are also important distance indicators and tracers of old stellar populations. Aims. The recent Data Release 2 (DR2) of the Gaia spacecraft includes photometry and parallaxes for thousands of classical and Type II Cepheids. We seek to review the classification of Gaia DR2 Cepheids and to derive precise PL/PW for the Magellanic Clouds (MCs) and Galactic Cepheids. Methods. We adopted information from the literature and the Gaia astrometry and photometry to assign DR2 Galactic Cepheids to the classical, anomalous, and Type II Cepheids classes. Results. We reclassified the DR2 Galactic Cepheids and derived new precise PL/PW relations in the Gaia passbands for the MCs and Milky Way Cepheids. We investigated for the first time the dependence on metallicity of the PW relation for classical Cepheids in the Gaia bands, finding inconclusive results. Conclusions. According to our analysis, the zero point of the Gaia DR2 parallaxes as estimated from classical and Type II Cepheids seems likely to be underestimated by ∼0.07 mas, which agrees with recent literature. The next Gaia data releases are expected to fix this zero point offset to allow eventually a determination of H0 to less than 1%.


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