scholarly journals Ultraviolet Spectroscopy Used to Fingerprint Five Wild-Grown Edible Mushrooms (Boletaceae) Collected from Yunnan, China

2016 ◽  
Vol 2016 ◽  
pp. 1-8 ◽  
Author(s):  
Yan Li ◽  
Ji Zhang ◽  
Tao Li ◽  
Tianwei Yang ◽  
Yuanzhong Wang ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Hierarchical Cluster Analysis ◽  
Visual Discrimination ◽  
Uv Spectroscopy ◽  
Hierarchical Cluster ◽  
Uv Spectra ◽  
Edible Mushrooms ◽  
Ultraviolet Spectroscopy

Nowadays, wild-grown edible mushrooms which are natural, nutritious, and healthy get more and more popular by large consumers. In this paper, UV spectra of different Boletaceae mushrooms with the aid of partial least squares discriminant analysis (PLS-DA) and hierarchical cluster analysis (HCA) were shown to be a practical and rapid method for discrimination purpose. The specimens of Boletus edulis, Boletus ferrugineus, Boletus tomentipes, Leccinum rugosiceps, and Xerocomus sp. were described based on the UV spectra. From the results, all the specimens were characterized by strong absorption at the wavelengths of 274 and 284 nm and showed the shoulder at 296 nm. However, changes could be seen in the peak heights at the same wavelength for different samples. After analyzing by chemometrics, visual discrimination among samples was presented and the relationships among them were also obtained. This study showed that UV spectroscopy combined with chemometrics methods could be used successfully as a simple and effective approach for characterization of these five wild-grown edible mushrooms at species and genus levels. Meanwhile, this rapid and simple methodology could also provide reference for the discrimination of edible mushrooms.

scholarly journals Typology, Structural Characterization and Sustainability of Integrated Broiler Farming System in Epirus, Greece

2021 ◽  
Vol 13 (23) ◽  
pp. 13084
Author(s):  
Vassilios Dotas ◽  
Dimitrios Gourdouvelis ◽  
Lampros Hatzizisis ◽  
Ioannis Kaimakamis ◽  
Ioannis Mitsopoulos ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Structural Characterization ◽  
Hierarchical Cluster Analysis ◽  
Financial Management ◽  
Hierarchical Cluster ◽  
Farming System ◽  
Poultry Farms ◽  
Large Farms ◽  
Farm Types

The aim of this study was the detailed characterization of the existing zootechnical and financial management applied in broiler poultry farms in the Region of Epirus, Greece. The current situation was captured through the formation of a typology on the structural characterization of broiler farming system. The variables were recorded based on data from a stratified random sample according to Neyman’s methodology of 110 poultry farms. In the typology, hierarchical cluster analysis was applied to identify differences between farms and to support most of this differentiation. Chebyshev distance was used to maximize the effect of the cluster elements distance, as well as Ward’s clustering method, which aims to achieve greater homogeneity within the clusters. Bonferroni multiple comparison tests were used to evaluate the differences. Four clusters of different farm types were identified from the hierarchical cluster analysis. In conclusion, the production system of broiler farms in Epirus is intensive, especially in large farms that have made significant investments in fixed capital and implement successful management. However, the poultry sector in Epirus has further margin for improvement in both its productivity and profitability.

scholarly journals Correlation of Volatile Compounds and Sensory Attributes of Chinese Traditional Sweet Fermented Flour Pastes Using Hierarchical Cluster Analysis and Partial Least Squares-Discriminant Analysis

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Meigui Huang ◽  
Yulin Li ◽  
Ping Zhan ◽  
Ping Liu ◽  
Honglei Tian ◽  
...  
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Least Squares ◽  
Volatile Compounds ◽  
Partial Least Squares ◽  
Hierarchical Cluster Analysis ◽  
Solid Phase ◽  
Hierarchical Cluster ◽  
Sensory Attributes ◽  
Volatile Components

The aroma compositions, sensory attributes, and their correlations of various traditional Chinese sweet fermented flour pastes (SFFPs) were investigated. SFFPs, including LEEJ, LEEH, and XH6, showed high overall acceptance scores of 8.00, 8.21, and 7.50, respectively. Ninety-six volatile compounds were detected using solid-phase microextraction gas chromatography mass spectrometry. Hierarchical cluster analysis grouped SFFPs into three clusters according to their concentrations and compositions of volatile components. Partial least squares-discriminant analysis showed that volatile compounds, including ethyl phenylacetate, 5-methyl furfural, amyl cinnamal, ethyl myristate, decyl aldehyde, 1-phenylethyl acetate, 1-octen-3-ol, 3-buten-2-ol, butanoic acid, and caproaldehyde, were highly negatively correlated with saltiness, sourness, and bitterness, while they were positively correlated with sweetness, umami, richness, and acceptance. The obvious correlation between flavor profiles and sensory attributes could help online monitoring of SFFPs’ flavor quality during production.

scholarly journals IRAP variability in Prunus domestica (L.) borkh based on Cassandra retrotransposon polymorphism

Genetika ◽  
2017 ◽  
Vol 49 (3) ◽  
pp. 989-1000
Author(s):  
Slavomíra Senková ◽  
Jana Ziarovská ◽  
Eloy Fernández ◽  
Danka Boseľová ◽  
Milan Bezo
Keyword(s):  
Cluster Analysis ◽  
Length Polymorphism ◽  
Hierarchical Cluster Analysis ◽  
Dna Markers ◽  
Hierarchical Cluster ◽  
Prunus Domestica ◽  
Genomic Variability ◽  
Plum Varieties ◽  
Insertional Polymorphism

Plum species are reported to possess a wide genomic variability and that is why DNA markers are still actual in the characterization of its germlasm. In this study, twenty-three genotypes of European plums were assessed for the amplified length based polymorphism among the retrotransposon Cassandra insertions in their genomes. The obtained insertional polymorphism caused by the activity of Cassandra showed regional and pedigree differences in the analysed accessions of European plums. Two primers were used in analysis. The first resulted in the amplification in 203 amplicons and the 86.6 % polymorphism. Two unique fragments were obtained for the Torysa and Podol?nec varieties using this primer. The second primer resulted in the amplification in 267 amplicons and 74.2 % polymorphism. Four unique fragments were obtained for the plum varieties Svestka dom?c?, Cacansk? rann? and Elena. Hierarchical cluster analysis divided the analysed accessions into the four main clusters. To show the length polymorphism diferences of the analysed genotypes from Germany, Slovakia and former Yugoslavia more pecisely, the scattergram for them was constructed.

Spatial–Temporal Neighborhood Patterns in Four Legacy Cities

2020 ◽  
pp. 107808741989782
Author(s):  
Kelly L. Kinahan
Keyword(s):  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Hierarchical Cluster Analysis ◽  
Temporal Trends ◽  
Hierarchical Cluster ◽  
Neighborhood Scale ◽  
Legacy Cities ◽  
Over 40 Years ◽  
Neighborhood Typology

Legacy cities are characterized by long-term, declining trends in both population and economic characteristics, but how these events translate to the neighborhood scale is less well understood. This research investigates the evolution of neighborhood types in four legacy cities—Baltimore, Cleveland, Philadelphia, and St. Louis—from 1970 to 2010. Working from a multidimensional framework of variables across five census decades, hierarchical cluster analysis and discriminant analysis are used to develop a neighborhood typology, identify temporal trends, and describe the pathways of transition. Results reveal four crosscutting neighborhood types: Black Distressed; Lower Middle; Multifamily, Educated, Turnover; and Upper Middle, which persist across space and time. Most neighborhoods (61%) remained classified within the same type over 40 years, and transitions were concentrated in two decades (1970–1980 and 2000–2010). The results offer a new descriptive dimension for understanding the unevenness present across legacy cities and suggest that existing policy approaches continually reproduce the same neighborhood outcomes.

Comprehensive Molecular Characterization of Malignant and Microenvironmental Cells in Waldenstrom’s Macroglobulinemia by Gene Expression Profiling.

Blood ◽  
2007 ◽  
Vol 110 (11) ◽  
pp. 3174-3174 ◽  
Author(s):  
Evdoxia Hatjiharissi ◽  
Constantine S. Mitsiades ◽  
Ciccarelli T. Bryan ◽  
Xu Lian ◽  
Cao Yang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cluster Analysis ◽  
Gene Expression Profiling ◽  
Molecular Characterization ◽  
Hierarchical Cluster Analysis ◽  
Expression Profiling ◽  
Mononuclear Cells ◽  
Hierarchical Cluster ◽  
Healthy Donors

Abstract Waldenstrom’s Macroglobulinemia (WM) is an incurable B-cell malignancy characterized by bone marrow (BM) infiltration with a spectrum of clonally related cells, including small lymphocytes and lymphoplasmacytic cells (CD19+) as well as mature plasma cells (CD138+). The molecular pathogenesis of the disease remains to be defined. We therefore analyzed the gene expression profiles of CD19+ and CD138+ BM mononuclear cells from 30 untreated patients with WM and compared their gene expression profile to their normal counterparts from 10 healthy donors using Affymetrix microarrays (U133 plus 2.0). Since the microenvironment plays an important role in the pathogenesis of WM, we also profiled and compared gene expression profiling for CD19 and CD138 depleted BM mononuclear cells from the same patients and healthy donors. Gene expression analysis was performed using dChip software. Unsupervised hierarchical cluster analysis demonstrated distinct gene expression patterns between WM cells versus their normal counterparts. In supervised hierarchical cluster analysis selecting for genes with > 2 fold change in expression and a False discovery Rate (FDR) < 2%, a set of 1171, 582 and 360 genes were found to be differentially expressed between WM patient and healthy donor CD19+, CD138+, as well as CD19/CD138 depleted (microenvironmental) cells, respectively. Among the most significantly over-expressed genes in the CD19+ compartment in WM patients were: BCL2, TNFRSF13B, TNFRSF17, IGLL1, CCR2, CLLU1, whilst the AP1 family genes JUND and FOSB were among the most significantly down-regulated genes in both CD19+ and CD138+ cells in WM patients. Other interesting transcripts which were over-expressed in CD138+ cells from WM patients included those from genes involved in transcription regulation (ZKSCAN1, ZMYM1, ZNF189, ZNF19, and ZNF559) and interferon response (IFI16 and IFIH1). Of considerable interest was our observation that microenvironmental cells in WM patients demonstrated an overactive transcriptional profile composed of genes which are associated with immune and inflammatory responses including the Toll like receptors (TLR 1,5,7,8), interferon and cytokines (IFI16, IFNAR1, IL-10R, IL-8R), genes encoding extracellular matrix components (Fibronectin and Hepatocyte Growth Factor) as well as genes involved in apoptotic signaling (TNFSF10, TRAF4). These studies provide the first comprehensive molecular characterization of WM, dissecting the molecular features of the two immunophenotypically distinct populations of malignant cells, and providing for the first time evidence for a distinct molecular profile in BM microenviromental cells.

scholarly journals Novel anti-tuberculosis drug designs by data mining for similarity in substituent substitution and structure modification

2011 ◽  
Vol 1 (1) ◽  
pp. 15 ◽  
Author(s):  
Ronald Lee Bartzatt
Keyword(s):  
Data Mining ◽  
Molecular Weight ◽  
Cluster Analysis ◽  
Discriminant Analysis ◽  
Surface Area ◽  
Hierarchical Cluster Analysis ◽  
Hierarchical Cluster ◽  
Log P ◽  
Polar Surface Area ◽  
Pharmaceutical Properties

<em>Mycobacterium tuberculosis</em> (TB) is among the most common of infectious diseases that cause death, and as many as one-third of the world’s population may be infected. This work presents 17 novel hydrazide agents formed by focused in silico data mining utilizing search parameters restricted to substituent replacement only. Substituent substitution has been highly successful in design of novel antibacterial and antiviral drugs. This diverse set of hydrazide constructs possess molecular properties indicating favorable bioavailability with excellent intestinal absorption for oral administration. All agents have zero violations of the Rule of 5, indicating favorable druglikeness. Important pharmaceutical properties including polar surface area, Log P, and formula weight were determined and compared to that of the parent structure of isoniazid by hierarchical cluster analysis and discriminant analysis. The average Log P with range is -0.258 and -2.165 to 1.373, respectively. The average polar surface area (PSA) with range is 75.19 A2 and 55.121 A2 to 94.036 A2, respectively. The diverse range of PSA and Log P, with other descriptors, portend a versatile group of hydrazide drugs having substantial potential to expand the application and effectiveness for clinical treatment of multi-organ infected TB patients. Analysis of similarity indicated that all 17 agents are significantly similar to isoniazid, however discriminant analysis and hierarchical cluster analysis are able to differentiate isoniazid based upon molecular properties. Molecular weight and number of atoms were highly correlated by Pearson r (r &gt; 0.9000), with Log P moderately correlated (r &gt; 0.5500) to number of atoms, molecular weight, and volume. Seventeen hydrazide compounds (success rate of approximately 38%) having diverse pharmaceutical properties resulted from substituent data mining with potential for clinical application.

Sign in / Sign up

Export Citation Format

Share Document