Characterization of the key nonvolatile metabolites in Cheddar cheese by partial least squares regression (PLSR), reconstitution, and omission

Xiang, Qin; Xia, Yiming; Song, Jun; Saqib, Md Nazmus; Zhong, Fang

doi:10.1016/j.foodchem.2022.134034

Cited by 19 publications

(6 citation statements)

References 35 publications

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“…Consistently, several studies also reported that sweet wines and ice wines produced from dehydrated grapes possessed higher content of β-damascenone than those made from fresh grapes harvested at maturity (Bowen & Reynolds, 2012;Lan, et al, 2019;Qian et al, 2024). The most significant change was recorded for terpinen-4-ol which was increased by 63 folds in WL30 blueberry wines (Table S3).…”

Section: Relative Quantitation Analysis Of Phenylalanine-derived Comp...supporting

confidence: 71%

Postharvest partial dehydration of blueberries enhanced blueberry wine aroma via upregulating phenylalanine metabolism and terpene biosynthesis

Wang,

Zhang,

Yang

et al. 2024

Preprint

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Postharvest partial dehydration of blueberries can enhance blueberry wine aroma, while the underlying mechanisms remain unclear. In this study, the key odor-active volatiles in blueberry wines fermented from dehydrated blueberries (30% weight loss) were identified via aroma extract dilution analysis. Results showed that increased levels of phenylalanine-derived compounds such as phenylethanol, and terpenes such as linalool and geraniol, primarily led to the enhancement of sweet, floral, and fruity aromas of blueberry wines. Postharvest partial dehydration increased the contents of these compounds, which could be linked to the upregulation of VcGOT2 and VcPAR involved in phenylalanine metabolism, and the upregulation of VcDXS, VcHDR and VcTPS involved in terpene biosynthesis. Notably, the upregulated VcTPS encoded a monoterpene synthase responsible for producing linalool. These findings provided insight into the impact of postharvest dehydration on phenylalanine and terpene metabolism in blueberries, offering a reference for improving blueberry wine aroma through postharvest partial dehydration techniques.

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Section: Relative Quantitation Analysis Of Phenylalanine-derived Comp...supporting

confidence: 71%

Postharvest partial dehydration of blueberries enhanced blueberry wine aroma via upregulating phenylalanine metabolism and terpene biosynthesis

Wang,

Zhang,

Yang

et al. 2024

Preprint

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“…Partial least squares regression (PLSR) was employed to assess the correlation between chemical components and pharmacological effects, with nine index components (Xiang et al, 2023) and two pharmacological effects defined as variables X and Y, respectively. The variable importance in projection (VIP) value describes the explanatory power of independent variables to dependent variables, with higher VIP values indicating a stronger correlation between chemical components and pharmacological effects (Gao et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Quality consistency evaluation of chemical composition and pharmacology of Shaoyao‐Gancao decoction dispensing granules and traditional decoction

Dong,

Xie,

et al. 2023

Biomedical Chromatography

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Dispensing granules of Chinese medicine (DGCM) have emerged as a more convenient alternative to traditional decoction (TD) of Chinese medicine, gaining popularity in recent years. However, the debate surrounding the consistency of DGCM compared to TD remains unresolved. In this study, three batches of Baishao and Gancao DGCM were obtained from manufacturers A, B, and C, and 15 batches of crude drugs were procured from hospital pharmacies for the preparation of dispensing granule decoction (DGD) and TD of Shaoyao‐Gancao decoction (SGD). The HPLC‐UV method was employed to determine the levels of gallic acid, paeoniflorin, albiflorin, liquiritin, liquiritin apioside, isoliquiritin apioside, isoliquiritin, glycyrrhizic acid, and isoliquiritigenin. The analgesic and antispasmodic effects were assessed using the hot plate and acetic acid writhing test in mice. To evaluate the consistency of chemical constituents and pharmacological effects between the two decoctions, the Criteria Importance Though Intercriteria Correlation (CRITIC) method combined with chemometrics was employed. Grey relation analysis (GRA) was used to assess the comprehensive quality consistency of the two decoctions. The CRITIC results revealed certain differences in chemical constituents and pharmacological effects between the selected DGCM and TD. Notably, DGD‐A/C exhibited a significant difference from TD (p > 0.05), whereas DGD‐B demonstrated no significant difference from TD (p > 0.05). The GRA analysis demonstrated that the overall quality consistency between DGD‐B and TD was the highest among the three manufacturers. This study presents a method for evaluating the quality consistency of DGCM and TD of SGD, offering novel insights into the evaluation of consistency between DGCM and TD.

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“…PLSR (Xiang et al, 2023) is a multivariate statistical method that mainly studies the regression modeling between multiple independent variables and multiple dependent variables. As a popular algorithm in the field of machine learning, PLSR adopts the idea of PCA to compress the features of independent variables, combining factor analysis and multiple linear regression.…”

Section: Methodsmentioning

confidence: 99%

“…Due to the consideration of local similarity and global information, MSLPP has a better performance for non-linearly separable data set. The specific flow of MSLPP is shown in Figure 2.2.4.4 | Establishment of prediction modelPLSR(Xiang et al, 2023) is a multivariate statistical method that mainly studies the regression modeling between multiple independent variables and multiple dependent variables. As a popular algorithm in the field of machine learning, PLSR adopts the idea of PCA to compress the features of independent variables, combining factor analysis and multiple linear regression.…”

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confidence: 99%

Detection of rice (with husk) moisture content based on hyperspectral imaging technology combined with MSLPP–ESMA–SVR model

Zhong,

Sun,

Yao

et al. 2024

Journal of Food Safety

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Moisture content detection has guiding significance for the storage and quality detection of rice. To detect moisture content rapidly and non‐destructively, hyperspectral imaging technology (400‐1000 nm) was employed to analyze rice with different moisture content, and Savitzky–Golay mixed standard normalized variable algorithm (SG‐SNV) was used for spectral data pretreatment. Furthermore, a modified supervised locality preserving projections (MSLPP) method was proposed to extract spectral features. The modeling results showed that MSLPP had better spectral feature extraction performance. Finally, to improve prediction accuracy, the equilibrium slime mold algorithm (ESMA) was introduced to obtain the optimal parameters (c, g) of the support vector regression (SVR) model. And MSLPP–ESMA–SVR model had higher prediction accuracy and stronger robustness, with R2p reaching 0.9755 and root mean square error of prediction reaching 0.8597%. Therefore, hyperspectral imaging technology combined with MSLPP–ESMA–SVR model is feasible to detect rice moisture content.

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Characterization of the key nonvolatile metabolites in Cheddar cheese by partial least squares regression (PLSR), reconstitution, and omission

Cited by 19 publications

References 35 publications

Postharvest partial dehydration of blueberries enhanced blueberry wine aroma via upregulating phenylalanine metabolism and terpene biosynthesis

Postharvest partial dehydration of blueberries enhanced blueberry wine aroma via upregulating phenylalanine metabolism and terpene biosynthesis

Quality consistency evaluation of chemical composition and pharmacology of Shaoyao‐Gancao decoction dispensing granules and traditional decoction

Detection of rice (with husk) moisture content based on hyperspectral imaging technology combined with MSLPP–ESMA–SVR model

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