scholarly journals Quality Assessment of Camellia oleifera Oil Cultivated in Southwest China

Separations ◽  
2021 ◽  
Vol 8 (9) ◽  
pp. 144
Author(s):  
Li Liu ◽  
Shiling Feng ◽  
Tao Chen ◽  
Lijun Zhou ◽  
Ming Yuan ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Large Scale ◽  
Southwest China ◽  
Principal Component ◽  
Industrial Applications ◽  
National Standard ◽  
Camellia Oleifera ◽  
Peroxide Values ◽  
Important Fatty Acid ◽  
Optimal Quality

Camellia oleifera oil has attracted increasing attention due to its well-balanced composition. In this study, we evaluated the oil content and chemical composition of C. oleifera oil cultivated in southwest China. The results showed that the acid and peroxide values were in line with the optimal quality index of the national standard of China. Oleic acid was the most predominant and important fatty acid, which accounted for 80.34–86.18%. The α-tocopherol, polyphenols and squalene ranged from 112.36 to 410.46 mg/kg oil, 14.22 to 53.63 mg/kg oil and 14.80 to 52.49 mg/kg oil, respectively. Principal component analysis (PCA) results showed that the synthesis score of introduced cultivars (‘Changlin 3’, ‘Changlin 4’ and ‘Changlin 18’) was higher that the local cultivars (‘Chuanya 21’ and ‘Chuanlin 2’). This research demonstrated that the introduced C. oleifera could adapt to the environment and climate of southwest China and large-scale plant of these introduced cultivars. In addition, the C. oleifera oil rich in unsaturated fatty acid has enormous potential to become a kind of functional oil and possesses great prospects for pharmaceutical and industrial applications.

scholarly journals Ultraviolet-visible/near infrared spectroscopy and hyperspectral imaging to study the different types of raw cotton

2020 ◽  
Author(s):  
Mohammad Al Ktash ◽  
Otto Hauler ◽  
Edwin Ostertag ◽  
Marc Brecht
Keyword(s):  
Hyperspectral Imaging ◽  
Large Scale ◽  
Near Infrared ◽  
Dominant Role ◽  
Principal Component ◽  
Industrial Applications ◽  
Acquisition Time ◽  
Hydroxyl Groups ◽  
Short Acquisition Time ◽  
Different Types

Different types of raw cotton were investigated by a commercial ultraviolet-visible/near infrared (UV-Vis/NIR) spectrometer (210–2200 nm) as well as on a home-built setup for NIR hyperspectral imaging (NIR-HSI) in the range 1100–2200 nm. UV-Vis/NIR reflection spectroscopy reveals the dominant role proteins, hydrocarbons and hydroxyl groups play in the structure of cotton. NIR-HSI shows a similar result. Experimentally obtained data in combination with principal component analysis (PCA) provides a general differentiation of different cotton types. For UV-Vis/NIR spectroscopy, the first two principal components (PC) represent 82 % and 78 % of the total data variance for the UV-Vis and NIR regions, respectively. Whereas, for NIR-HSI, due to the large amount of data acquired, two methodologies for data processing were applied in low and high lateral resolution. In the first method, the average of the spectra from one sample was calculated and in the second method the spectra of each pixel were used. Both methods are able to explain ≥90 % of total variance by the first two PCs. The results show that it is possible to distinguish between different cotton types based on a few selected wavelength ranges. The combination of HSI and multivariate data analysis has a strong potential in industrial applications due to its short acquisition time and low-cost development. This study opens a novel possibility for a further development of this technique towards real large-scale processes.

scholarly journals Characterisation of flaxseed cultivars based on NIR diffusion reflectance spectra of whole seeds and derived samples

2019 ◽  
Vol 37 (No. 5) ◽  
pp. 374-382
Author(s):  
Yana Troshchynska ◽  
Roman Bleha ◽  
Lenka Kumbarová ◽  
Marcela Sluková ◽  
Andrej Sinica ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Cluster Analysis ◽  
Fatty Acid Composition ◽  
Fatty Acid ◽  
Acid Composition ◽  
Multivariate Analyses ◽  
Principal Component ◽  
Reflectance Spectra ◽  
Spectral Features ◽  
Important Fatty Acid

Discrimination of yellow and brown flaxseed cultivars was made based on diffusion reflectance FT-NIR spectra of whole seeds. The spectra of flaxseed kernels, hulls, defatted flours, and oils were also measured for comparison. Hierarchy cluster analysis (HCA) and principal component analysis (PCA) were used for the discrimination. Multivariate analyses of FT-NIR spectra led to satisfactory discrimination of all flaxseed cultivars of this study mainly according to the nutritionally important fatty acid composition that was confirmed by comparison with the corresponding spectra of flaxseed kernel and oil. By contrast, spectral features of proteins, polysaccharides, and tannins predominated in the FT-NIR spectra of flaxseed hulls and defatted flours.

scholarly journals Determination of Yield and Quality Parameters of Lecithin Produced from Some Elite Varieties of Nigerian Sesame (Sesamum indicum)

2019 ◽  
pp. 1-9
Author(s):  
A. Y. Mumeen ◽  
E. Onotugoma ◽  
M. C. Onwuegbu ◽  
A. M. Shema ◽  
S. Salihu ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Free Fatty Acid ◽  
Industrial Applications ◽  
Pharmaceutical Products ◽  
Quality Parameters ◽  
Industrial Sectors ◽  
Peroxide Values ◽  
Percentage Yield ◽  
Iodine Values ◽  
Degumming Process

Lecithin is usually derived as a by-product of vegetable oil processing. It is also known as phosphotidycholine, it is important for its wide use in food manufacturing, product development as well as pharmaceutical products formulation. The quantity of lecithin being imported into Nigeria for use in several industrial sectors is steadily increasing; the attendant effects of such huge importation can be minimized by sourcing lecithin from Nigerian varieties of oil bearing seeds such as sesame. Sequel to a careful selection of seeds, oil was extracted from four varieties of Nigerian sesame using soxlet extraction method. Lecithin was later produced from the extracted oil through oil degumming process. Lecithin quality parameters such as Iodine Values (I.V), Peroxide Values (P.V), Saponification Value (Sap.V), Acid Values (A.V) and Free Fatty Acid (FFA) values were subsequently evaluated for all oil and lecithin samples extracted. Percentage yield of lecithin isolated from the selected varieties of sesame namely: NCRIBEN 01M, NCRIBEN O2M, NCRIBEN 04E and NCRIBEN 05E: are 3.57%, 3.64 % 2.85% and 3.14% respectively. Values of some quality indices such as the iodine values, peroxide values, Acid Values and Free Fatty Acid evaluated in this research project were found to fall within the FAO/WHO recommendations for lecithin. This study has therefore, contributed to the availability of detailed information from the characteristics stand point and quality index of oil extracted from the selected varieties of sesame and lecithin isolated from their oils. This study therefore concludes that lecithin may be sourced from some Nigerian varieties of sesame and their quality may be enough to meet various industrial applications.

Evaluating soil erosion and sediment deposition rates by  137Cs fingerprinting technique at different karst hillslope positions  in Yunnan Province, southwest China

2021 ◽  
Author(s):  
Yanqing Li ◽  
yang Yu ◽  
funing Lan ◽  
peng Liu
Keyword(s):  
Soil Erosion ◽  
Water Conservation ◽  
Large Scale ◽  
Yunnan Province ◽  
Southwest China ◽  
Soil Depth ◽  
Principal Component ◽  
Delivery Ratio ◽  
Deposition Rates ◽  
Small Watersheds

<p>In karst environments, soil erosion is a  prominent environmental issue that can cause many other problems. Researching the erosion and deposition rates at the hillslope scale in small watersheds is important for designing efficient soil and water conservation measures for the small watersheds even the large scale areas. In our research, the closed watershed, a representative depression in karst gabin basin, located in the Yunnan province, Southwest China, was selected to assess the soil erosion and sediment mobilisation at different hillslope positions using the <sup>137</sup>Cs tracing technique. The results showed that the soil erosion rates in the shoulders, backslopes and footslopes were 0.87, 0.35 and 0.49 cm a<sup>-1</sup>, respectively, meanwhile the soil sediment rate in depression bottom was 2.68 cm a<sup>-1</sup>. The average annual soil erosion modulus of the complete hillslope was 632 t km<sup>-2</sup>a<sup>-1</sup>, which confirmed the serious gradation according to karst soil erosion standards. The sediment delivery ratio would summarize 0.82 in the whole catchment according to the square of hillslope and depression bottom. To identify which factor could play the most important role in influencing the estimations using <sup>137</sup>Cs, a linear correlation and Principal Component Analysis were conducted. The results showed <sup>137</sup>Cs concentration of different soil depth at different hillslope positions were significantly correlated with soil organic matter (SOM) and total nitrogen (TN) (P<0.05). As the typical karst geomorphological types, these findings are expected to provide data support for the whole watershed soil erosion management and ecological restoration in  fragile karst ecosystem.</p>

scholarly journals Geographical Distribution and Relationship with Environmental Factors of Paphiopedilum Subgenus Brachypetalum Hallier (Orchidaceae) Taxa in Southwest China

Diversity ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 634
Author(s):  
Pengcheng Ye ◽  
Jianyong Wu ◽  
Mingtai An ◽  
Hui Chen ◽  
Xiao Zhao ◽  
...  
Keyword(s):  
Environmental Factors ◽  
Solar Radiation ◽  
Geographical Distribution ◽  
Large Scale ◽  
Southwest China ◽  
Principal Component ◽  
Field Investigation ◽  
Orchid Species ◽  
Diurnal Range ◽  
Precipitation Seasonality

The determination of the geographic distributions of orchid species and their relationships with environmental factors are considered fundamental to their conservation. Paphiopedilum subgenus Brachypetalum is one of the most primitive, ornamental, and threatened groups of Orchidaceae. However, little is known about the distribution of Brachypetalum orchids and how they are influenced by environmental factors. In this study, we developed a database on the geographical distribution of Brachypetalum orchids based on a large-scale field investigation in the Guangxi, Guizhou, and Yunnan provinces of southwest China (2019–2020). Using this database, we first adopted the nonparametric Mann–Whitney U test to analyze the differences in the geographical distributions and growth environments of Brachypetalum orchids. In addition, we also used the method of principal component analysis (PCA) to explore distribution patterns of Brachypetalum orchids in relation to environmental factors (topography, climate, anthropogenic disturbance, productivity, and soil) in southwest China. Our results indicated that Brachypetalum orchid species were mainly distributed in the karst limestone habitats of southwest China. In general, there were 194 existing localities with the occurrence of seven target orchids in the investigated area. Of the discovered species in our study, 176 locations (~90.7%) were distributed primarily in the karst habitat. Among them, the range of 780–1267 m was the most concentrated elevation of Brachypetalum orchids. In addition, the findings also suggested that the distribution of Brachypetalum orchids in southwest China was relatively scattered in geographical space. However, the density of the distribution of Brachypetalum orchids was high, between 104° and 108° E and between 25° and 26° N. The results of the Mann–Whitney U test revealed that there are obviously different geographical distributions and growth environments of Brachypetalum in southwest China. More specifically, we found some extremely significant differences (p < 0.001) in elevation, mean diurnal range, precipitation of coldest quarter, solar radiation, and exchangeable Ca2+ between the provinces of southwest China. The PCA analysis revealed that elevation, solar radiation, temperature (mean diurnal range, annual temperature range) and precipitation (precipitation seasonality, precipitation of the warmest quarter) were found to be the most significant factors in determining Brachypetalum orchids’ distribution. These findings have implications in assessing conservation effectiveness and determining niche breadth to better protect the populations of these Brachypetalum orchid species in the future.

scholarly journals FITTING A POINT CLOUD TO A 3D POLYHEDRAL SURFACE

2017 ◽  
Vol XLII-2/W4 ◽  
pp. 135-140
Author(s):  
E. V. Popov ◽  
S. I. Rotkov
Keyword(s):  
Point Cloud ◽  
Large Scale ◽  
Grid Method ◽  
Principal Component ◽  
Target Surface ◽  
Industrial Applications ◽  
Remote Measurement ◽  
Problem Solution ◽  
Polyhedral Surface ◽  
General Criterion

The ability to measure parameters of large-scale objects in a contactless fashion has a tremendous potential in a number of industrial applications. However, this problem is usually associated with an ambiguous task to compare two data sets specified in two different co-ordinate systems. This paper deals with the study of fitting a set of unorganized points to a polyhedral surface. The developed approach uses Principal Component Analysis (PCA) and Stretched grid method (SGM) to substitute a non-linear problem solution with several linear steps. The squared distance (SD) is a general criterion to control the process of convergence of a set of points to a target surface. The described numerical experiment concerns the remote measurement of a large-scale aerial in the form of a frame with a parabolic shape. The experiment shows that the fitting process of a point cloud to a target surface converges in several linear steps. The method is applicable to the geometry remote measurement of large-scale objects in a contactless fashion.

The occurrence of long chain polyprenols in leaves of plants of Rosaceae family and their isolation by time-extended liquid chromatography

1992 ◽  
Vol 70 (6) ◽  
pp. 448-454 ◽  
Author(s):  
Ewa Świeżewska ◽  
T. Chojnacki ◽  
W. J. Jankowski ◽  
K. Singh ◽  
J. Olsson
Keyword(s):  
Liquid Chromatography ◽  
Fatty Acid ◽  
Large Scale ◽  
Fatty Acid Esters ◽  
Large Scale Preparation ◽  
Scale Preparation ◽  
Wet Weight ◽  
Rosaceae Family ◽  
Acid Esters ◽  
Long Chain

The long chain polyprenols composed of 30 and more isoprene units from leaves of plants belonging to the genera Potentilla and Rosa have been described. They occur in the form of fatty acid esters. The composition of polyprenol mixture was species dependent and its content reached ca. 0.5% wet weight. Large scale preparation of individual polyprenols from a natural polyprenol mixture was performed using time-extended liquid chromatography on the hydrophobic gel Lipidex-5000.Key words: long chain polyprenols, Rosaceae.

scholarly journals Content-Based Estimation of Brain MRI Tilt in Three Orthogonal Directions

2021 ◽  
Author(s):  
Pooja Prabhu ◽  
A. K. Karunakar ◽  
Sanjib Sinha ◽  
N. Mariyappa ◽  
G. K. Bhargava ◽  
...  
Keyword(s):  
Large Scale ◽  
Brain Mri ◽  
Similarity Measures ◽  
Principal Component ◽  
Brain Anatomy ◽  
Morphological Operations ◽  
Mr Images ◽  
Tilt Correction ◽  
Brain Mr Images ◽  
The Brain

AbstractIn a general scenario, the brain images acquired from magnetic resonance imaging (MRI) may experience tilt, distorting brain MR images. The tilt experienced by the brain MR images may result in misalignment during image registration for medical applications. Manually correcting (or estimating) the tilt on a large scale is time-consuming, expensive, and needs brain anatomy expertise. Thus, there is a need for an automatic way of performing tilt correction in three orthogonal directions (X, Y, Z). The proposed work aims to correct the tilt automatically by measuring the pitch angle, yaw angle, and roll angle in X-axis, Z-axis, and Y-axis, respectively. For correction of the tilt around the Z-axis (pointing to the superior direction), image processing techniques, principal component analysis, and similarity measures are used. Also, for correction of the tilt around the X-axis (pointing to the right direction), morphological operations, and tilt correction around the Y-axis (pointing to the anterior direction), orthogonal regression is used. The proposed approach was applied to adjust the tilt observed in the T1- and T2-weighted MR images. The simulation study with the proposed algorithm yielded an error of 0.40 ± 0.09°, and it outperformed the other existing studies. The tilt angle (in degrees) obtained is ranged from 6.2 ± 3.94, 2.35 ± 2.61, and 5 ± 4.36 in X-, Z-, and Y-directions, respectively, by using the proposed algorithm. The proposed work corrects the tilt more accurately and robustly when compared with existing studies.

scholarly journals Principal component analysis tomography in near-infrared integral field spectroscopy of young stellar objects – I. Revisiting the high-mass protostar W33A

2021 ◽  
Vol 503 (1) ◽  
pp. 270-291
Author(s):  
F Navarete ◽  
A Damineli ◽  
J E Steiner ◽  
R D Blum
Keyword(s):  
Large Scale ◽  
Near Infrared ◽  
Rotation Axis ◽  
Principal Component ◽  
Young Stellar Objects ◽  
High Mass ◽  
Continuum Emission ◽  
Rotating Disc ◽  
Stellar Objects ◽  
K Band

ABSTRACT W33A is a well-known example of a high-mass young stellar object showing evidence of a circumstellar disc. We revisited the K-band NIFS/Gemini North observations of the W33A protostar using principal components analysis tomography and additional post-processing routines. Our results indicate the presence of a compact rotating disc based on the kinematics of the CO absorption features. The position–velocity diagram shows that the disc exhibits a rotation curve with velocities that rapidly decrease for radii larger than 0.1 arcsec (∼250 au) from the central source, suggesting a structure about four times more compact than previously reported. We derived a dynamical mass of 10.0$^{+4.1}_{-2.2}$ $\rm {M}_\odot$ for the ‘disc + protostar’ system, about ∼33 per cent smaller than previously reported, but still compatible with high-mass protostar status. A relatively compact H2 wind was identified at the base of the large-scale outflow of W33A, with a mean visual extinction of ∼63 mag. By taking advantage of supplementary near-infrared maps, we identified at least two other point-like objects driving extended structures in the vicinity of W33A, suggesting that multiple active protostars are located within the cloud. The closest object (Source B) was also identified in the NIFS field of view as a faint point-like object at a projected distance of ∼7000 au from W33A, powering extended K-band continuum emission detected in the same field. Another source (Source C) is driving a bipolar $\rm {H}_2$ jet aligned perpendicular to the rotation axis of W33A.

scholarly journals Expression of novel acidic lipase from Micrococcus luteus in Pichia pastoris and its application in transesterification

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Selfela Restu Adina ◽  
Antonius Suwanto ◽  
Anja Meryandini ◽  
Esti Puspitasari
Keyword(s):  
Fatty Acid ◽  
Pichia Pastoris ◽  
Specific Activity ◽  
Signal Sequence ◽  
Micrococcus Luteus ◽  
Acid Methyl Ester ◽  
Industrial Applications ◽  
Expression Level ◽  
Lipase Gene ◽  
Acidic Lipase

Abstract Background Lipases are promising biocatalysts for industrial applications and attract attention to be explored. A novel acidic lipase has been isolated from the lipolytic bacteria Micrococcus luteus EMP48-D (LipEMP48-D) screened from tempeh. The lipase gene had previously been overexpressed in Escherichia coli BL21, but the expression level obtained was relatively low. Here, to improve the expression level, the lipase gene was cloned to Pichia pastoris. We eliminated the native signal sequence of M. luteus and replaced it with α-mating factor (α-MF) signal sequence. We also optimized and synthesized the lipase gene based on codon preference in P. pastoris. Results LipEMP48-D lipase was expressed as an extracellular protein. Codon optimization has been conducted for 20 codons, with the codon adaption index reaching 0.995. The highest extracellular lipase activity obtained reached 145.4 ± 4.8 U/mg under AOX1 promoter in P. pastoris KM71 strain, which was 9.7-fold higher than the previous activity in E. coli. LipEMP48-D showed the highest specific activity at pH 5.0 and stable within the pH range 3.0–5.0 at 40 °C. LipEMP48-D also has the capability of hydrolyzing various long-chain triglycerides, particularly olive oil (100%) followed by sunflower oil (88.5%). LipEMP48-D exhibited high tolerance for various polar organic solvents with low log P, such as isopropanol (115.7%) and butanol (114.6%). The metal ions (Na+, K+, Ca2+, Mg2+, Mn+) decreased enzyme activity up to 43.1%, while Fe2+ increased relative activity of enzymes up to 200%. The conversion of free fatty acid (FFA) into fatty acid methyl ester (FAME) was low around 2.95%. Conclusions This study was the first to report overexpression of Micrococcus lipase in yeast. The extracellular expression of this acidic lipase could be potential for biocatalyst in industrial fields, especially organic synthesis, food industry, and production of biodiesel.

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