scholarly journals The Influence of Surface Mycobiota on Sensory Properties of “Istarski pršut” and “Dalmatinski pršut”

Processes ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. 2287
Author(s):  
Tina Lešić ◽  
Nada Vahčić ◽  
Ivica Kos ◽  
Manuela Zadravec ◽  
Dragan Milićević ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Species Diversity ◽  
Meat Products ◽  
Principal Component ◽  
Sensory Properties ◽  
Penicillium Citrinum ◽  
Large Contribution ◽  
Fatty Tissue ◽  
Surface Species ◽  
Subcutaneous Fatty Tissue

This study aimed to identify surface mould species overgrowing the Croatian protected meat products “Istarski pršut” and “Dalmatinski pršut” and their effect on sensory properties. Dry-cured hams were produced in 2018/2019 and obtained from annual fairs. The predominant surface species found on “Dalmatinski pršut” were Aspergillus chevalieri, Penicillium citrinum and Aspergillus cibarius, whereas those overgrowing “Istarski pršut” were Aspergillus proliferans, P. citrinum and Penicillium salamii. The results show species diversity, higher presence, and greater variety of Aspergillus species in “Dalmatinski pršut” in comparison to “Istarski pršut”, and significant variations in 9 of 20 sensory attributes. Principal component analysis revealed a clear distinction between the two, and a large contribution of P. salamii and Penicillium bialowienzense to one principal component. The texture traits, smoky odour, muscle and subcutaneous fatty tissue colour, and mould species found are valuable for product characterisation. The results also indicate that mould species may be responsible for some sensory traits, such as tenderness, juiciness, and lesser freshness.

A Cytogenetic, Morphological, and Ecological Comparison of Seven Different Species of Achillea.ssp. Accessions in Kurdistan Province, Iran

2021 ◽  
Author(s):  
Fatemeh Nezhadi ◽  
farzad fayaz ◽  
Hooshmand Safari ◽  
Ezzat Karami ◽  
Abdol Rahman Rahimi
Keyword(s):  
Principal Component Analysis ◽  
Species Diversity ◽  
Principal Component ◽  
Component Analysis ◽  
Chromosome Length ◽  
Base Number ◽  
Tetraploid Species ◽  
Medicinal Species ◽  
Natural Habitats ◽  
Environmental Indices

Abstract We conducted the present study on seven important medicinal species of Achillea (4 replications per species) (in a total of 28 samples) in their natural habitats in two consecutive years (2018, 2019) in terms of morphological, cytogenetic, and ecological aspects. This study aimed to examine the environmental variables affecting the morphology, cytogenetics, and evolution of the plant. The results indicated that the populations had a Ploidy base number (x= 9) and the diploid, tetraploid, and hexaploid levels were observed. In addition to the inter-species diversity, there was the intra-species genetic diversity as (4x, 6x) Ac. millefolium (2x, 4x), Ac.vermicularis (2x, 4x), Ac. tenuifolia (2x, 4x), Ac. Alppica(2x) , Ac.talagonica(2x),Ac. biebersteinii, and Ac.wilhelmsii (4x). Further studies also indicated that 11 out of 28 populations had 1A symmetry, 15 populations had 2B symmetry, a population had 2A, and another population had 2B. Principal component analysis (PCA) of cytogenetic variables could not differentiate the species well probably due to the superiority of intra-species diversity of populations to inter-species diversity. Therefore, it seems that the evolution and speciation of this genus are mostly due to the increase or decrease in the amount of chromatin and chromosome length. The examination of principal component analysis in environmental indices also showed that Ac. millefolium hexaploid species was more adapted to the environment with higher percentages of clay and silt while the Ac.tenuifolia tetraploid species preferred a sandy habitat over other environmental factors. Furthermore, Ac.vermicularis tetraploid species indicated the greatest sensitivity to altitude. However, the Ac.biebersteinii tetraploid species reacted to meteorological parameters, such as perception rate and minimum temperature.

Dairy Ingredients effects on sausage sensory properties studied by principal component analysis

1992 ◽  
Vol 57 (4) ◽  
pp. 822-828 ◽  
Author(s):  
P. BAARDSETH ◽  
T. NAES ◽  
J. MIELNIK ◽  
G. SKREDE ◽  
S. HØLLAND ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Principal Component ◽  
Component Analysis ◽  
Sensory Properties ◽  
Dairy Ingredients

scholarly journals Penicillium and Talaromyces Communities of Sugarcane Soils (Saccharum officinarum L.): Ecological and Phylogenetic Aspects

2018 ◽  
Vol 10 (4) ◽  
pp. 335
Author(s):  
Sérgio Murilo Sousa Ramos ◽  
Roberta Cruz ◽  
Renan do Nascimento Barbosa ◽  
Alexandre Reis Machado ◽  
Antônio Félix da Costa ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Species Diversity ◽  
Principal Component ◽  
Component Analysis ◽  
Saccharum Officinarum ◽  
Morphological Examination ◽  
Beta Tubulin ◽  
Partial Sequencing ◽  
Cultivated Soils

Penicillium and Talaromyces are fungal genera with high ecological and biotechnological importance. However, studies on exploration and ecology of these fungi in soils are scarce. The objectives of this study were to evaluate the species diversity of these genera in soils of sugarcane and fallow. Identification of the isolates was performed by morphological examination and partial sequencing of Beta-tubulin. For ecological analyses, indexes were applied and principal component analysis (PCA) was performed. A total of 1,344 isolates were obtained: 1,108 of Penicillium (13 species) and 236 of Talaromyces (three species). Seven isolates did not cluster with any known species. The diversity and equitability indexes were similarly high for the two areas analyzed. Penicillium wotroi and Talaromyces murroi were more abundant. The PCA was significant and showed 2 groups: fallow and cultivated. Soils of sugarcane cultivation present distinct communities of Penicillium and Talaromyces species that are rare and/or not yet described by science.

scholarly journals Study of the Influence of Different Yeast Strains on Red Wine Fermentation with NIR Spectroscopy and Principal Component Analysis

J ◽  
2018 ◽  
Vol 1 (1) ◽  
pp. 133-147 ◽  
Author(s):  
Antonio Marsico ◽  
Rocco Perniola ◽  
Maria Cardone ◽  
Matteo Velenosi ◽  
Donato Antonacci ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Principal Component ◽  
Component Analysis ◽  
Sensory Properties ◽  
Mixed Fermentation ◽  
Wine Production ◽  
Yeast Cultures ◽  
Wide Range

Alcoholic fermentation is a key step in wine production. Indeed, a wide range of compounds, which strongly affect the sensory properties of wine, is produced during this process. While Saccharomyces cerevisiae yeast cultures are commonly employed in winemaking to carry on the fermentation process, some non-Saccharomyces species have recently gained attention due to their ability to produce various metabolites of oenological interest. The use of different yeasts strains usually results in wines with different sensory properties, despite being obtained from the same grape variety. In this paper, we tested the feasibility of using near-infrared spectroscopy (NIR) to discriminate among red wines from three different grape varieties produced with pure S. cerevisiae or by mixed fermentation with a promising non-Saccharomyces yeast, namely the Starmeriella bacillaris, which usually yields wines with significant amounts of glycerol and low levels of ethanol, acetic acid, and acetaldehyde. A principal component analysis (PCA) performed on the NIR spectra was used to search for differences in the samples. The NIR results have been compared with both basic wine parameters and sensory analysis data.

scholarly journals Principal Component Analysis (PCA) Method for Classification of Beef and Pork Aroma Based on Electronic Nose

2019 ◽  
Vol 1 (1) ◽  
pp. 5-8 ◽  
Author(s):  
Imam Tazi ◽  
Nur Laila Isnaini ◽  
Mutmainnah Mutmainnah ◽  
Avin Ainur
Keyword(s):  
Principal Component Analysis ◽  
Electronic Nose ◽  
Meat Products ◽  
Principal Component ◽  
Component Analysis ◽  
Cumulative Number ◽  
Organoleptic Evaluation ◽  
Pca Method ◽  
Meat Samples

There are several testing processes for consuming meat products. Organoleptic evaluation is an evaluation based on color, texture, smell, and taste. This research aims to find out the response pattern of 10 gas sensor array contained in the electronic nose against the odor pattern of beef and pork base on a smell. The classification method used is using the Principal Component Analysis (PCA) method. This method is expected to simplify the test of differences in beef and pork based on the aroma. The meat used is standard beef and pork consumption that has been sold in supermarkets. Samples of beef and pork are then ground until smooth. After that, it is weighed until it reaches 1 ounce. The meat samples were tested using an electronic nose consisting of 10 gas sensors. The multivariate analysis method was used to classify the aroma of beef and pork. The results of the data processing showed that the aroma classification of beef and pork which was indexed by the electronic nose was perfect. Based on the PCA method, the proportion of PC1 is 93.4%, and PC2 is 4.9%. From the second cumulative number, the value of the first PC was obtained 98.3%. This value indicates that only with 2-dimensional data, can represent ten dimensions of data. The loading plot shows that the MQ-138 and MQ-3 sensors are the most powerful sensors in testing samples of beef and pork.

New Orthalicidae (Mollusca, Gastropoda) from Venezuelan Guayana: unravelling secrets from the Lost World

Zootaxa ◽  
2009 ◽  
Vol 2065 (1) ◽  
pp. 25-50 ◽  
Author(s):  
ABRAHAM S.H. BREURE
Keyword(s):  
Principal Component Analysis ◽  
New Species ◽  
Species Diversity ◽  
Abiotic Factors ◽  
Principal Component ◽  
Habitat Diversity ◽  
Land Snails ◽  
Forest Types ◽  
The Family ◽  
First Time

Land snails of the family Orthalicidae from Venezuelan Guayana are revised and the following new species are described: Drymaeus (D.) rex, Plekocheilus (Eurytus) huberi, P. (E.) nebulosus, P. (E.) sophiae, and P. (E.) tepuiensis. Drymaeus (D.) griffini Haas, 1955 is now placed in the synonymy of D. (D.) extraneus (Haas, 1955). In addition, the genitalia of Plekocheilus (Eurytus) tatei Haas, 1955 are described for the first time. Plekocheilus (Eudolichotis) gibber (Oberwimmer, 1931) is now considered a member of P. (Eurytus). As a consequence, Antitragus Oberwimmer, 1931 is now regarded a junior synonym of Eurytus Albers, 1850. Of the 16 taxa treated here, 14 are endemic to the table-top mountains (‘tepuis’) of this area. A Principal Component Analysis has been used to study the biotic and abiotic factors that may influence species diversity and distributions. Habitat diversity explained 65% of the variability and was mainly influenced by plant diversity, number of forest types, elevation and slope area of the tepuis.

Scanning x-ray fluorescence microscopy and principal component analysis

1992 ◽  
Vol 50 (2) ◽  
pp. 1752-1753
Author(s):  
Brian Cross
Keyword(s):  
Principal Component Analysis ◽  
Fluorescence Microscopy ◽  
Spatial Resolution ◽  
High Speed ◽  
Image Acquisition ◽  
Principal Component ◽  
Fluorescence Microscope ◽  
Acquisition Rate ◽  
X Ray ◽  
Speed Up

A relatively new entry, in the field of microscopy, is the Scanning X-Ray Fluorescence Microscope (SXRFM). Using this type of instrument (e.g. Kevex Omicron X-ray Microprobe), one can obtain multiple elemental x-ray images, from the analysis of materials which show heterogeneity. The SXRFM obtains images by collimating an x-ray beam (e.g. 100 μm diameter), and then scanning the sample with a high-speed x-y stage. To speed up the image acquisition, data is acquired "on-the-fly" by slew-scanning the stage along the x-axis, like a TV or SEM scan. To reduce the overhead from "fly-back," the images can be acquired by bi-directional scanning of the x-axis. This results in very little overhead with the re-positioning of the sample stage. The image acquisition rate is dominated by the x-ray acquisition rate. Therefore, the total x-ray image acquisition rate, using the SXRFM, is very comparable to an SEM. Although the x-ray spatial resolution of the SXRFM is worse than an SEM (say 100 vs. 2 μm), there are several other advantages.

Sign in / Sign up

Export Citation Format

Share Document