scholarly journals Quality evaluation of Lonicerae Japonicae Flos and Lonicerae Flos based on simultaneous determination of multiple bioactive constituents combined with multivariate statistical analysis

2019 ◽  
Author(s):  
Zhichen Cai ◽  
Chengcheng Wang ◽  
Cuihua Chen ◽  
Lisi Zou ◽  
Chuan Chai ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Simultaneous Determination ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Bioactive Constituents ◽  
Multivariate Statistical

scholarly journals Variations in Physiology and Multiple Bioactive Constituents under Salt Stress Provide Insight into the Quality Evaluation of Apocyni Veneti Folium

2018 ◽  
Vol 19 (10) ◽  
pp. 3042 ◽  
Author(s):  
Cuihua Chen ◽  
Chengcheng Wang ◽  
Zixiu Liu ◽  
Xunhong Liu ◽  
Lisi Zou ◽  
...  
Keyword(s):  
Salt Stress ◽  
Statistical Analysis ◽  
Organic Acids ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Gray Relational Analysis ◽  
Lipid Peroxidation Product ◽  
Bioactive Constituents ◽  
Multivariate Statistical

As one of the major abiotic stresses, salinity stress may affect the physiology and biochemical components of Apocynum venetum L. To systematically evaluate the quality of Apocyni Veneti Folium (AVF) from the perspective of physiological and the wide variety of bioactive components response to various concentrations of salt stress, this experiment was arranged on the basis of ultra-fast liquid chromatography tandem triple quadrupole mass spectrometry (UFLC-QTRAP-MS/MS) technology and multivariate statistical analysis. Physiological characteristics of photosynthetic pigments, osmotic homeostasis, lipid peroxidation product, and antioxidative enzymes were introduced to investigate the salt tolerance mechanism of AVF under salinity treatments of four concentrations (0, 100, 200, and 300 mM NaCl, respectively). Furthermore, a total of 43 bioactive constituents, including 14 amino acids, nine nucleosides, six organic acids, and 14 flavonoids were quantified in AVF under salt stress. In addition, multivariate statistical analysis, including hierarchical clustering analysis, principal component analysis (PCA), and gray relational analysis (GRA) was employed to systematically cluster, distinguish, and evaluate the samples, respectively. Compared with the control, the results demonstrated that 200 mM and 100 mM salt stress contributed to maintain high quality of photosynthesis, osmotic balance, antioxidant enzyme activity, and the accumulation of metabolites, except for total organic acids, and the quality of AVF obtained by these two groups was better than others; however, under severe stress, the accumulation of the oxidative damage and the reduction of metabolite caused by inefficiently scavenging reactive oxygen species (ROS) lead to lower quality. In summary, the proposed method may provide integrated information for the quality evaluation of AVF and other salt-tolerant Chinese medicines.

Quality Evaluation of Canned Whole Tomatoes

1995 ◽  
Vol 1 (2-3) ◽  
pp. 97-104 ◽  
Author(s):  
S. Porretta
Keyword(s):  
Cluster Analysis ◽  
Statistical Analysis ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Chemical Properties ◽  
Sensory Attributes ◽  
Tomato Juice ◽  
Multivariate Statistical ◽  
Tomato Variety ◽  
Physico Chemical

The physico-chemical properties of commercial canned whole tomatoes (i.e., peeled tomatoes with about 30% tomato juice as packing medium) and the contribution of various analytical parameters to some sensory attributes were evaluated using multivariate statistical analysis. In addition, cluster analysis was used to determine the existence of significant qualitative differences between the old and famous San Marzano variety (as described on the commercial labels by the manufacturers) and traditional (without any specification on the tomato variety) canned whole tomatoes.

Quality Evaluation of Green and Dark Tea Grade Using Electronic Nose and Multivariate Statistical Analysis

2019 ◽  
Vol 84 (12) ◽  
pp. 3411-3417 ◽  
Author(s):  
Haibo Yuan ◽  
Xiaoqiang Chen ◽  
Yundong Shao ◽  
Yong Cheng ◽  
Yanqin Yang ◽  
...  
Keyword(s):  
Statistical Analysis ◽  
Electronic Nose ◽  
Multivariate Statistical Analysis ◽  
Quality Evaluation ◽  
Multivariate Statistical
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