Effect of Se Enrichment on Improving the Quality of Camellia Oil from Different Source Varieties

2020 ◽  
Vol 14 (5) ◽  
pp. 657-663
Author(s):  
Jie Liu ◽  
Lichao Wu ◽  
Yimin Tan
Keyword(s):  
Comprehensive Evaluation ◽  
Wide Spectrum ◽  
Biological Effects ◽  
Principal Component ◽  
Acid Value ◽  
Fertilizer Application ◽  
Tocopherol Content ◽  
Camellia Oil ◽  
Functional Components

Se-enriched camellia oil has received increasing attention because it can improve the Se intake of diet for Se deficiency areas and has a wide spectrum of biological effects. Six main cultivars of camellia oil in Guangxi, including Camellia oleifera cenxiruanzhi 2 (CR2), CR3, C. oleifera xianglin 4 (XL4), XL40, C. oleifera changlin 1 (CL1), and CL210, were selected for fertilization experiment to produce Se-enriched camellia oil and investigated the effect of Se enrichment on quality. The Se content in camellia oil of six varieties was significantly increased by Se fertilizer application. CR2 had the maximum Se content and raise ratio compared to CK, which was 0.87 mg kg−1 and fourfold, respectively. The Se contents in XL1, XL210, CR3, CL4, and CL40 improved by 2.14-, 2.77-, 3.58-, 2.56-, and 3.79-fold, respectively. Se fertilizer reduced the acid and peroxide values and increased the squalene and tocopherol contents. The acid value decreased by 38.29%–61.30%, the peroxide value decreased by 20.66%–61.79%, the tocopherol content increased by 7.76%–32.78%, and the squalene content increased by 13.53%–77.39%. The quality indices were significantly different among camellia oil varieties. Principal component analysis showed that CR2 obtained the highest score by comprehensive evaluation. Se fertilization, particularly for CR2 species, can significantly increase the contents of Se as well as functional components, such as squalene and tocopherol, and thus improve the quality of camellia oil

scholarly journals Relationship between Antioxidant Components and Oxidative Stability of Peanut Oils as Affected by Roasting Temperatures

Agriculture ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 300
Author(s):  
Jhih-Ying Ciou ◽  
Hsin-Chun Chen ◽  
Chih-Wei Chen ◽  
Kai-Min Yang
Keyword(s):  
Oxidative Stability ◽  
Principal Component ◽  
Tocopherol Content ◽  
Total Phenolic ◽  
Flavonoid Content ◽  
Natural Logarithm ◽  
Phytosterol Content ◽  
Rancimat Method ◽  
Nutritional Benefits

The study sought to investigate the effect of roasting temperatures on antioxidant components and oxidative stability of peanut oils. The total phenolic content, total flavonoid content, α–tocopherol content, and phytosterol content in peanut oils was influenced by roasting at temperatures of 120 °C, 140 °C, and 160 °C, while those roasting temperatures had no effect on the fatty acid profile and γ–tocopherol content of peanut oils. Roasting promotes the quality of peanut oil aroma via the Maillard reaction, particularly when it is derived from N–heterocyclic compounds (such as pyrazine and pyrrole). The oxidative stability of peanut oils was investigated using the Rancimat method, and the results show that there is a linear relationship between roasting and natural logarithm of the induction period (R2: 0.959~0.998). This was determined based on the Arrhenius equation, which indicated the activation energy (Ea) was in the range of 82.08~108.61 kJ/mol. In principal component analysis (PCA) analysis, the antioxidant stability of the increase levels of phenols released in the peanut oils was found to rise with the increment of roasting temperatures. The data obtained in this study should be confirmed as the nutritional benefits of peanut oils that will be most appealing to consumers.

scholarly journals Research on Liquor Storage Based on Statistical Analysis Model

2021 ◽  
Vol 5 (3) ◽  
Author(s):  
Xuhua Xu
Keyword(s):  
Index System ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Evaluation Index System ◽  
Classification Model ◽  
Analysis Model ◽  
The Index System ◽  
Storage Methods ◽  
Physical And Chemical

According to the physical and chemical indexes of different periods, different storage containers and different storage sites, a two overall T test was used to show that there were significant differences in physical and chemical indexes of liquor body in different detection sites. Correlation analysis of wine storage in different storage methods by Spearman correlation coefficient. By using the principal component analysis method, the comprehensive evaluation index system of the quality of the wine body was constructed, and the classification model of the detection location based on the comprehensive evaluation was established by using the index system. The detection sites were classified, and the results showed that the detection sites were divided into four grades.

scholarly journals Evaluation of Two Parts of Lithocarpus polystachyus Rehd. from Different Chinese Areas by Multicomponent Content Determination and Pattern Recognition

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Min Wei ◽  
Yangling Tuo ◽  
Ye Zhang ◽  
Qi Deng ◽  
Cuiying Shi ◽  
...  
Keyword(s):  
Evaluation System ◽  
High Performance ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Dry Weight ◽  
Quantification Analysis ◽  
Development And Utilization ◽  
Array Detection ◽  
Accurate Quantification

The purpose of this work is to establish a new method using high-performance liquid chromatography-diode array detection (HPLC-DAD) with chemometrics analysis to determine the content of catechin, isoquercetin, astragalin, phloridzin, trilobatin, and phloretin for one flavanol and five flavonoids, filter out the key compounds, and evaluate the quality of 26 batches of tender leaves and flower spikes of Lithocarpus polystachyus Rehd. (LP) from ten areas in China. The result showed that the HPLC-DAD method had excellent performance for accurate quantification analysis. S3 (tender leaf from Lushan, Sichuan) had the highest contents for six measured chemicals with trilobatin content of up to 27.82% in dry weight. S22 (flower spike from Liangping, Chongqing) had the highest content of phloridzin (up to 7.28%). All samples were divided into three types based on spatial distribution using principal component analysis. The result showed that the tender leaves and flower spikes from the same areas had many similar properties, and there were significant differences between the samples from different regions. Furthermore, phloridzin and trilobatin were identified as chemical markers for quality evaluation of two parts with different tender leaves and flower spikes of LP from geographical areas by orthogonal partial least squares discrimination analysis. These results will be helpful to establish an effective and comprehensive evaluation system of the development and utilization of LP resources.

A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China

2012 ◽  
Vol 65 (11) ◽  
pp. 2071-2078 ◽  
Author(s):  
Haiyang Chen ◽  
Yanguo Teng ◽  
Jinsheng Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Source Apportionment ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Anthropogenic Pollution ◽  
Ammonia Nitrogen ◽  
Support Vector ◽  
Jinjiang River

A framework for characteristics identification and source apportionment of water pollution in the Jinjiang River of China was proposed in this study for evaluation. A total of 114 water samples which were generated between May 2009 and September 2010 at 13 sites were collected and analysed. First, support vector machine (SVM) and water quality pollutant index (WQPI) were used for water quality comprehensive evaluation and identifying characteristic contaminants. Later, factor analysis with nonnegative constraints (FA-NNC) was employed for source apportionment. Finally, multi-linear regression of the absolute principal component score (APCS/MLR) was applied to further estimate source contributions for each characteristic contaminant. The results indicated that the water quality of the Jinjiang River was mainly at the third level (65.79%) based on national surface water quality permissible standards in China. Ammonia nitrogen, total phosphorus, mercury, iron and manganese were identified as characteristic contaminants. Source apportionment results showed that industrial activities (63.16%), agricultural non-point source (16.50%) and domestic sewage (12.85%) were the main anthropogenic pollution sources which were influencing the water quality of Jinjiang River. This proposed method provided a helpful framework for conducting water pollution management in aquatic environment.

scholarly journals A New Strategy for Quality Evaluation and Identification of Representative Chemical Components in Polygonum multiflorum Thunb.

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yun-xia Li ◽  
Xiao-hong Gong ◽  
Mei-chen Liu ◽  
Cheng Peng ◽  
Peng Li ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Chemical Compounds ◽  
Chemical Components ◽  
Health Food ◽  
Polygonum Multiflorum ◽  
New Strategy ◽  
Novel Method

Polygonum multiflorum Thunb. (HSW) is widely used as herb medicine and health food additive. Recently, a series of HSW-induced hepatotoxicities have been reported and many studies have been carried out to investigate it. But contradictory conclusions were drawn that might be caused by the inconsistent quality of market decoction pieces. Therefore, the HSW decoction pieces quality was evaluated with a developed novel method in the paper. 25 batches of raw HSW (RHSW) and 21 batches of processed HSW (PHSW) samples were purchased from different provinces of China. HPLC determination was performed to identify and detect the contents of 16 chemical compounds in herbal material. Fingerprint similarity was analyzed using chromatography information and the results showed that most herbs were in good similarity. Then, a comprehensive evaluation strategy based on principal component analysis with representative quality control indicators was developed to evaluate the quality of HSW samples. And the rationality of the developed method was verified by HCA analysis. The results showed that the herb from Dabashan, Sichuan Province, no matter RHSW or PHSW had the best quality. Different representative components were selected for RHSW or PHSW decoction pieces which might be caused by the chemical reaction during processing. And most PHSW were unqualified according to the requirement of Chinese Pharmacopeia which might take the responsibility for the toxicity of HSW.

scholarly journals Comprehensive Evaluation of the Postharvest Antioxidant Capacity of Majiayou Pomelo Harvested at Different Maturities Based on PCA

Antioxidants ◽  
2019 ◽  
Vol 8 (5) ◽  
pp. 136 ◽  
Author(s):  
Zhengpeng Nie ◽  
Chunpeng Wan ◽  
Chuying Chen ◽  
Jinyin Chen
Keyword(s):  
Ascorbic Acid ◽  
Comprehensive Evaluation ◽  
Radical Scavenging ◽  
Principal Component ◽  
Jiangxi Province ◽  
Optimal Harvesting ◽  
Full Bloom ◽  
Radical Scavenging Ability ◽  
Functional Components ◽  
Active Substances

Majiayou pomelo (Citrus grandis L. Osbeck, MP) is a famous local red pulp pomelo from the Jiangxi province in China that is rich in natural active substances. In order to investigate the postharvest antioxidant capacities of MP pulp and determine the optimal harvesting time, fruits that were harvested at three different maturities (185, 200, and 215 days after full bloom) were observed for 180 days of preservation at ambient temperature. An abundance of ascorbic acid and lycopene in the MP pulp was found during storage, and in Harvest I, these substances were significantly higher than in Harvest II and Harvest III fruit (p < 0.05). The activity of ascorbate peroxidase (APX), peroxidase (POD), and catalases (CAT) in Harvest I and Harvest II were far higher after 90 days. The radical scavenging ability of 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical, superoxide anion radical (O2−•), and hydroxyl radical (•OH) in Harvest I and Harvest II were higher. There was a significantly positive correlation (p < 0.01) between the antioxidant components (ascorbic acid, lycopene, carotenoids, total phenols, and total flavonoids), enzyme activity, and radical scavenging ability. The comprehensive scores determined by principal component analysis (PCA) in Harvest I and II were higher than those in Harvest III. Therefore, the optimal harvesting period of MP for each year is determined to be early November. The study provides a theoretical basis for the maintenance of the postharvest fruit value and the regulation of fruit functional components.

scholarly journals Improved Quality of Corn Silage When Combining Cellulose-Decomposing Bacteria andLactobacillus buchneriduring Silage Fermentation

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Fanfan Zhang ◽  
Xuzhe Wang ◽  
Weihua Lu ◽  
Feifei Li ◽  
Chunhui Ma
Keyword(s):  
Comprehensive Evaluation ◽  
Principal Component ◽  
Corn Silage ◽  
Analysis Model ◽  
Value Evaluation ◽  
Silage Fermentation ◽  
Combined Use ◽  
Feed Value ◽  
Microbiological Analyses

This study aimed to investigate the effects of the combined use of cellulose-decomposing bacteria (CDB) and heterolactic lactic acid bacteria (LAB) on corn silage fermentation. Fresh maize was treated with heterolactic LAB or CDB combined with heterolactic LAB inoculants or without any treatment. Chemical and microbiological analyses were conducted at specific times after ensiling. A comprehensive value evaluation was conducted using the principal component analysis model. Although all treatments significantly affected the microorganism numbers during fermentation, the numbers of aerobic bacteria, LAB, yeast, and molds in the groups with combined CDB and LAB were significantly higher than those in the group with LAB only (P< 0.05). All treatments regulated the silage CO2production. Each treatment had different effects on the nutrient degradation rate. Based on a comprehensive evaluation, the CDB and heterolactic LAB combination had the best effect on the ensiling process in improving the quality and feed value of corn silage.

Analysis of Substituent Effects in Naphthalene Skeleton

2004 ◽  
Vol 69 (12) ◽  
pp. 2297-2314
Author(s):  
Patrik Pařík ◽  
Miroslav Ludwig
Keyword(s):  
Dissociation Constants ◽  
Comprehensive Evaluation ◽  
Substituent Effects ◽  
Principal Component ◽  
Alternative Interpretation ◽  
Point Of View ◽  
Carboxylic Group ◽  
Resonance Effects ◽  
The Individual

The dissociation constants of 45 substituted 1- and 2-naphthoic acids in six organic solvents (methanol, ethanol, acetonitrile, dimethylformamide, dimethyl sulfoxide, pyridine) have been used to evaluate the substituent effects in the naphthalene skeleton. The dissociation constants data have been treated traditionally by using Dewar-Grisdale equation and the Taft DSP equation, and the alternative interpretation of substituent effects (AISE) method. Quantitative comparison of substituent effects and their transmission from different positions, combination of inductive and resonance effects from various positions, and effects of solvents are discussed. Best results are predominantly provided by the AISE. Substituent effects are stronger in the case of substituents affecting from ring of the naphthalene skeleton bearing carboxylic group than from ring not bearing carboxylic group, and there are no substantial differences between the individual positions of this ring. The contribution of resonance effects at 4α and 8β positions distinctly changes with the medium. Special quality of substituent H was found in comparison with other substituents presumably due their bulkier character. The principal component analysis (PCA) has been also applied to treat the mean dissociation constants using the single substituent property approach. The dissociation together with reactivity data for other naphthalene derivatives have been tested for comprehensive evaluation using PCA. There was found a large similarity of naphthalene reactivity data tested from the point of view of substituent effects.

scholarly journals Evaluation of knitted suit fabric style based on fuzzy neural network

2020 ◽  
Vol 15 ◽  
pp. 155892502097182
Author(s):  
Xintong Li ◽  
Honglian Cong ◽  
Zhe Gao
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Shear Stiffness ◽  
Polyester Fabric ◽  
Production Quality ◽  
Fuzzy Neural ◽  
And Cluster Analysis

In order to better judge the fabric style of knitted suit fabrics and improve the production quality of knitted suit fabrics, we use principal component analysis and cluster analysis methods to process fabric samples and evaluation indicators, and use neural network technology to establish The fuzzy neural network model outputs comprehensive evaluation values to judge knitted suit fabrics. The results show that the predicted value of the model output is above 0.6. The style of knitted suit fabric is close to that of traditional woven suit fabric, the flexural stiffness is between 5 and 20 μN• m, the extensibility is between 10% and 20% and the shear stiffness is between 50 N/m. The value of wool and polyester fabric is basically above 0.7, and the style is similar to the woven suit fabric, followed by knitted suit fabrics of cotton and polyester.

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