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 A Review of Quality Criteria Supporting Supplier Selection

2013 ◽  
Vol 2013 ◽  
pp. 1-9 ◽  
Author(s):  
Mohammad Abdolshah
Keyword(s):  
Supplier Selection ◽  
Quality Evaluation ◽  
Selection Process ◽  
Quality Criteria ◽  
Loss Functions ◽  
Decision Criteria ◽  
Academic Literature ◽  
Extensive Search ◽  
Novel Method

This paper presents a review of decision criteria reported in the literature for supporting the supplier selection process. The review is based on an extensive search in the academic literature. After a literature review of decision criteria, we discuss the most important criteria: quality. Then different methods and factors for assessing the quality of supplier are discussed. Results showed that all methods and factors mentioned in this paper are not appropriate tools for quality evaluation. Moreover, we propose a novel method (using loss functions) in order to assess the quality of suppliers.

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.

Quality Evaluation of Group-Buy Websites

2016 ◽  
Vol 14 (1) ◽  
pp. 1-10 ◽  
Author(s):  
Zhuoxi Yu ◽  
Yanqing Wu ◽  
Zhiwen Zhao
Keyword(s):  
Customer Satisfaction ◽  
Quality Evaluation ◽  
Business Models ◽  
Comprehensive Evaluation ◽  
Market Competition ◽  
Group Buying

Group buying mode has been one of the hottest business models in the Chinese Internet area in recent years. Though the market competition is intense, the demand of group purchase is still on the rise. Nowadays, the research on comprehensive evaluation of group buying websites in the country is still tiny. The paper used DEA combined with AHP to evaluate popular group buying websites. According to the characteristics of group buying websites, the authors evaluate the quality of group buying websites from four aspects. There are running efficiency, profit ability, popularity and customer satisfaction. Then they get the comprehensive evaluation results of each website which based on those four aspects. Some suggestions of website building for group purchasing enterprises are proposed.

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 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.

scholarly journals Comparison of Multiple Bioactive Constituents in the Flower and the Caulis of Lonicera japonica Based on UFLC-QTRAP-MS/MS Combined with Multivariate Statistical Analysis

Molecules ◽  
2019 ◽  
Vol 24 (10) ◽  
pp. 1936 ◽  
Author(s):  
Zhichen Cai ◽  
Chengcheng Wang ◽  
Lisi Zou ◽  
Xunhong Liu ◽  
Jiali Chen ◽  
...  
Keyword(s):  
Comprehensive Evaluation ◽  
Principal Component ◽  
Quinic Acid ◽  
Lonicera Japonica ◽  
Herbal Remedies ◽  
Chemical Components ◽  
Bioactive Constituents ◽  
Multivariate Statistical ◽  
Intrinsic Quality ◽  
Fast Liquid Chromatography

Lonicerae japonicae flos (LJF) and Lonicerae japonicae caulis (LJC) are derived from different parts of Lonicera japonica Thunb. (Caprifoliaceae), and have been used as herbal remedies to treat various diseases for thousands of years with confirmed curative effects. However, little attention has been paid to illustrating the differences in efficacy from the perspective of phytochemistry. In the present study, a simultaneous determination of 47 bioactive constituents, including 12 organic acids, 12 flavonoids, six iridoids, 13 amino acids and four nucleosides in 44 batches of LJF and LJC samples from different habitats and commercial herbs was established based on ultra-fast liquid chromatography tandem triple quadrupole mass spectrometry (UFLC-QTRAP-MS/MS). Moreover, principal component analysis (PCA), partial least squares discriminant analysis (PLS-DA) and t-test were then performed to classify and reveal the differential compositions of LJF and LJC according to the content of the tested constituents. The results demonstrated that the types and contents of chemical components (e.g., isochlorogenic acid A, chlorogenic acid, neochlorogenic acid, quinic acid, secologanic acid, luteoloside, loganin, secoxyloganin, morroniside and L-isoleucine) were significantly different, which may lead to the classification and the differences in efficacy of LJF and LJC. Our findings not only provide a basis for the comprehensive evaluation and intrinsic quality control of LJF and LJC, but also pave the way for discovering the material basis contributing to the different properties and efficacies of the two medicinal materials at the phytochemical level.

A Study on the Sound Quality Evaluation Model of Mechanical Air-Cleaners

2009 ◽  
Vol 131 (3) ◽  
Author(s):  
Jeong-Guon Ih ◽  
Su-Won Jang ◽  
Cheol-Ho Jeong ◽  
Youn-Young Jeung
Keyword(s):  
High Frequency ◽  
Quality Evaluation ◽  
Principal Component ◽  
Sound Quality ◽  
Subjective Feeling ◽  
Subjective Data ◽  
Frequency Bands ◽  
Air Cleaner ◽  
Air Cleaners

In operating the air-cleaner for a long time, people in a quiet enclosed space expect low sound at low operational levels for a routine cleaning of air. However, in the condition of high operational levels of the cleaner, a powerful yet nonannoying sound is desired, which is connected to a feeling of an immediate cleaning of pollutants. In this context, it is important to evaluate and design the air-cleaner noise to satisfy such contradictory expectations from the customers. In this study, a model for evaluating the sound quality of air-cleaners of mechanical type was developed based on objective and subjective analyses. Sound signals from various air-cleaners were recorded and they were edited by increasing or decreasing the loudness at three wide specific-loudness bands: 20–400 Hz (0–3.8 barks), 400–1250 Hz (3.8–10 barks), and 1.25–12.5 kHz bands (10–22.8 barks). Subjective tests using the edited sounds were conducted by the semantic differential method (SDM) and the method of successive intervals (MSI). SDM tests for seven adjective pairs were conducted to find the relation between subjective feeling and frequency bands. Two major feelings, performance and annoyance, were factored out from the principal component analysis. We found that the performance feeling was related to both low and high frequency bands, whereas the annoyance feeling was related to high frequency bands. MSI tests using the seven scales were conducted to derive the sound quality index to express the severity of each perceptive descriptor. Annoyance and performance indices of air-cleaners were modeled from the subjective responses of the juries and the measured sound quality metrics: loudness, sharpness, roughness, and fluctuation strength. The multiple regression method was employed to generate sound quality evaluation models. Using the developed indices, sound quality of the measured data was evaluated and compared with the subjective data. The difference between predicted and tested scores was less than 0.5 points.

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.

Differences in Chemical Component and Anticancer Activity of Green and Ripe Forsythiae Fructus

2017 ◽  
Vol 45 (07) ◽  
pp. 1513-1536 ◽  
Author(s):  
Jiaolin Bao ◽  
Ren-Bo Ding ◽  
Yeer Liang ◽  
Fang Liu ◽  
Kai Wang ◽  
...  
Keyword(s):  
Anticancer Activity ◽  
Principal Component ◽  
Chemical Compounds ◽  
Clinical Applications ◽  
Chemical Components ◽  
Aqueous Extracts ◽  
Clear Separation ◽  
Marker Compounds

Forsythiae Fructus, Lianqiao in Chinese, is one of the most fundamental herbs in Traditional Chinese Medicine. Both green Forsythia (GF) and ripe Forsythia (RF) are referred to Forsythiae Fructus in medicinal applications. In most cases, they are used without distinction. In this study, a metabolomics approach was performed to compare componential differences of two Forsythiae Fructus aqueous extracts subtypes. Principal component analysis (PCA) score plots from the UPLC-MS data showed clear separation between the two subtypes, indicating there are significant differences in the chemical components between GF and RF. Meanwhile, the anticancer activity of them was also compared. GF exhibited much stronger antitumor activity than RF against B16-F10 murine melanoma both in vitro and in vivo. 15 chemical compounds were identified as specific markers for distinguishing GF and RF. Among these marker compounds, forsythoside I, forsythoside A, forsythoside E and pinoresinol were demonstrated to be key important active compounds that account for the different anticancer efficacies of GF and RF. Our data suggest that GF and RF should be distinctively used in clinical applications, particularly in the anticancer formulas, in which GF should be preferentially prescribed.

Comprehensive Evaluation on Testing Quality of Cement Mixing Pile of Weak Subgrade by Core Drilling Method

2014 ◽  
Vol 1065-1069 ◽  
pp. 1559-1563
Author(s):  
Yu Bin Hou ◽  
Yun Liu ◽  
Yan Jie Li
Keyword(s):  
Evaluation System ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Soil Layer ◽  
Standard Test ◽  
Core Drilling ◽  
Drilling Method ◽  
Test Pile

Cement mixing pile is widely used in weak subgrade treatment and the quality of it has a direct bearing on the treatment effect of weak subgrade. Core drilling method is an effective method of testing quality of cement mixing pile. However, there are certain deficiencies in quality evaluation method of this kind of piles during practical application. In this paper, auxiliary evaluation criterion, established through standard test pile and combining with subgrade testing engineering is applied to the quality evaluation on test pile with construction deficiency after being combined with existing evaluation system. The result shows that the adoption of evaluation result of improved quality evaluation system can well reflect the pile construction quality of the test pile under complicated soil layer condition and is a reliable method of pile quality evaluation.

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