Modeling and application of sensory evaluation of blueberry wine based on principal component analysis

Zhao, Yaqi; Zeng, Yingyu; Liu, Xusheng; Yuan, Kailan; Li, Yue; Tian, Lingmin; Sun, Jianxia; Bai, Weibin

doi:10.1016/j.crfs.2022.11.022

Cited by 14 publications

(10 citation statements)

References 31 publications

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“…A PCA was used to describe the differences between samples and to provide more information on the response variables that mainly influenced sample similarities and differences, in order to reduce the complexity of the data and address the most important features [ 55 ]. In this study, the application of the PCA on the dataset was used to analyze the antioxidant potential (DPPH and ABTS + ) of the evaluated EOs from different plant samples, as well as their yields and chemical profiles.…”

Section: Resultsmentioning

confidence: 99%

Essential Oils from Apiaceae, Asteraceae, Cupressaceae and Lamiaceae Families Grown in Serbia: Comparative Chemical Profiling with In Vitro Antioxidant Activity

Gladikostić

Ikonić

Teslić

et al. 2023

Plants

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The aim of the present study was to investigate the chemical profile and antioxidant activity of essential oils obtained from the most commonly grown plant species in Serbia. Aromatic and medicinal plants from Lamiaceae (Mentha x Piperita, Ocimum basilicum, Origanum majorana, Origanum vulgare, Salvia officinalis, Satureja hortensis, Satureja montana and Thymus vulgaris), Asteraceae (Ehinacea purpurea and Matricaria chamomilla), Apiaceae (Anethum graveolens, Carum carvi, Foeniculum vulgare, Petroselinum crispum and Pimpinella anisum) and Cupressaceae (Juniperus comunis) were selected as raw material for essential oils (EOs)’ isolation. Hydrodistillation (HD) was used for the isolation of EOs while they were evaluated in terms of yield and terpenoid profiles by GC-MS. In vitro radical scavenging DPPH and ABTS+ radical activities were carried out for all EOs. Finally, a principal component analysis (PCA) was performed with the experimental results of the composition and antioxidant activity of the EOs, which showed a clear distinction between the selected plant species for the aforementioned responses. This work represents a screening tool for the selection of other EO candidates for further processing by emerging extraction techniques and the use of EOs as natural additives for meat products.

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Section: Resultsmentioning

confidence: 99%

Essential Oils from Apiaceae, Asteraceae, Cupressaceae and Lamiaceae Families Grown in Serbia: Comparative Chemical Profiling with In Vitro Antioxidant Activity

Gladikostić

Ikonić

Teslić

et al. 2023

Plants

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“…Therefore, PCA was utilized to extract key physicochemical indicators, visualizing the differentiation between samples. PCA is a valuable tool to exploit more information on the variables mainly influencing the character of the sample by reducing the dimension of the original data [ 17 ]. In this study, two principal components (PCs) were selected based on the eigenvalue and total contribution rate of PCs [ 17 ], which had an eigenvalue greater than 1 and a total variance of 86.71% ( Table 3 ).…”

Section: Resultsmentioning

confidence: 99%

“…Food quality is a complex concept because the components in it may be related to each other and contribute a different weight to the product quality characteristics [ 17 ]. However, at present, most studies evaluate the quality of Z. latifolia only by a simple comparison of the attributes (e.g., texture, color, components).…”

Section: Introductionmentioning

confidence: 99%

“…The advantages of the method are that it can analyze large samples with a huge amount of data, mine the internal relationship between parameters, and intuitively display the variation of samples [ 15 ]. Multivariate statistical analysis techniques, such as Principal component analysis (PCA), hierarchical cluster analysis (HCA), and correlation analysis, have been widely used to classify and evaluate comprehensive food quality [ 10 , 17 , 18 ]. Therefore, these methods could be used as an effective solution to find the key traits related to Z. latifolia quality.…”

Section: Introductionmentioning

confidence: 99%

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Comparative Analysis of the Nutritional Quality of Zizania latifolia Cultivars Harvested in Different Growing Seasons

Hu,

Li,

Lai

et al. 2023

Foods

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Zizania latifolia (Z. latifolia) is a popular aquatic vegetable with various nutrients in south China, but little is known about its cultivars and growing seasons in terms of the nutritional components. This work aims to characterize the nutrients of five Z. latifolia cultivars in different growing seasons. The results showed that Z. latifolia samples differed in terms of chemical parameters, which were significantly affected by variety, growing season, and their interaction. Zhejiao No. 8, harvested in the autumn, stood out with the highest levels of vitamin C. Tangxiajiao and Zhejiao No. 1 contained the highest values of total soluble solids, reducing sugar, soluble proteins, and amino acids. Significant differences were observed between the autumn Z. latifolia and spring samples; the former were of higher quality than the latter based on hierarchical clustering analysis and principal component analysis. Moreover, total amino acids (TAA) and glutamic acid (GLU) were selected as the key indicators for Z. latifolia comprehensive quality by multiple linear regression analysis. This study provides essential information on Z. latifolia quality characteristics corresponding to cultivars and growing seasons, which lays the foundation for promoting the quality improvement of Z. latifolia scientifically.

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“…And it is time-consuming and costly to determine each indicator. In order to carry out e cient and accurate evaluation, it is necessary to apply statistical methods, such as variability analysis, correlation analysis, hypothesis testing, multiple regression, principal component analysis (PCA) and clustering (Kaivan et al, 2012), to screen the important attributes, which are representative, differentiated and independent of each other, and further establish a mathematical model (Zhao et al, 2023). At present, evaluation models for fruit quality has been reported in longan (Han et al, 2015), orange (Tang et al, 2018), walnut (Shi et al, 2022), kiwifruit (Chen et al, 2021) and other plants.…”

mentioning

confidence: 99%

Establishment and application of an evaluation model for table grape quality in cold region

Zhu,

Lv,

et al. 2024

Preprint

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To evaluate berry quality of table grapes, a total of 36 indicators of 38 table grapes cultivated in the plastic greenhouse of cold region were investigated in two consecutive years. There were 6 coreattributes, which covered appearence, texture, flavour and bioactivity factors, screened using with variability analysis, correlation analysis and principal component analysis (PCA). And a mathematical model, Y (composite score) = 0.070 × single berry weight + 0.048 × a* + 0.113 × chewiness + 0.169 × total soluble solids+0.366 × solid-acid ratio + 0.233 × total phenolics, was established by analytical hierarchy process (AHP). In the model, the total phenolics was variable based on the edible part, which was the content in skin of thin-skin grape or the sum content in skin and pulp of thick-skin grape. According to the model, the comprehensive score of each table grape was calculated with dimensionless process of original data. The berry quality of the 38 table grapes were divided into four grades, including Grade I (0.6 to 0.75, 10 cvs.), Grade Ⅱ (0.5-0.6, 11 cvs.), Grade Ⅲ (0.4-0.5, 10 cvs.) and Grade Ⅳ (0.1-04, 7 cvs.). Through the verification of regression analysis, the fitting degreebetween the model results and sensory assessment scores was up to 0.91, confirming that the mathematical model can provide a scientific reference for the berry quality evaluation of table grapes in cold region. The results of this study would supply the foundational data for further breeding and richness of table grape resource in cold region.

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Modeling and application of sensory evaluation of blueberry wine based on principal component analysis

Cited by 14 publications

References 31 publications

Essential Oils from Apiaceae, Asteraceae, Cupressaceae and Lamiaceae Families Grown in Serbia: Comparative Chemical Profiling with In Vitro Antioxidant Activity

Essential Oils from Apiaceae, Asteraceae, Cupressaceae and Lamiaceae Families Grown in Serbia: Comparative Chemical Profiling with In Vitro Antioxidant Activity

Comparative Analysis of the Nutritional Quality of Zizania latifolia Cultivars Harvested in Different Growing Seasons

Establishment and application of an evaluation model for table grape quality in cold region

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