Weiguo Wu
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Weiguo Wu has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
Huihui Liu
College of Food Science and Technology, Hunan Agricultural University, Changsha, Hunan Province 410128, China
1 shared publicationLuyan Liao
College of Food Science and Technology, Hunan Agricultural University, Changsha, P. R. China
1 shared publication- Luyan Liao
College of Food Science and Technology, Hunan Agricultural University, Changsha 410128, China
1 shared publication Pengfei Zhang
Research and Development Department, Huaihua Institute for Food and Drug Control, Huaihua, P. R. China
1 shared publication- Simin Peng
College of Food Science and Technology, Hunan Agricultural University, Changsha, P. R. China
1 shared publication Tianzhu Huang
Research and Development Department, Zhongzhan Camellia Oil Co. Ltd, Changsha, P. R. China
1 shared publication
Latest Publications
- Open Access
- 1 January 2021
- Published by Taylor & Francis in CyTA - Journal of Food
- Vol. 19 (1) , 625-633
Combining GC-MS and chemometrics to assess the quality of camellia seed oils
Chemometric tools and GC-MS were employed to detect the adulteration of camellia seed oil. In the training set, 65 samples were formulated by blending pure camellia seed oil with varying concentrations of soybean, peanut and rapeseed oil and their fatty acid contents were used in chemometric analysis. Principal Component analysis revealed the distribution patterns of samples that showed a clear stratiform agglomeration according to varying amount of camellia seed oil. Fisher Discriminant Analysis (FDA) was combined to establish the classification models and the correct classification rate of cross-validation model and original model reached 92.5% and 82.5%, respectively. To test the quality of the model, a new test set was prepared and the results showed a high accuracy of 88%. This was indicated that the developed discrimination model established by PCA plus FDA was efficient in predicting the presence of other low-price edible oils in camellia seed oils.
- 1 January 2021
- Published by Taylor & Francis in CyTA - Journal of Food
- Vol. 19 (1) , 625-633
Open AccessCombining GC-MS and chemometrics to assess the quality of camellia seed oils
Chemometric tools and GC-MS were employed to detect the adulteration of camellia seed oil. In the training set, 65 samples were formulated by blending pure camellia seed oil with varying concentrations of soybean, peanut and rapeseed oil and their fatty acid contents were used in chemometric analysis. Principal Component analysis revealed the distribution patterns of samples that showed a clear stratiform agglomeration according to varying amount of camellia seed oil. Fisher Discriminant Analysis (FDA) was combined to establish the classification models and the correct classification rate of cross-validation model and original model reached 92.5% and 82.5%, respectively. To test the quality of the model, a new test set was prepared and the results showed a high accuracy of 88%. This was indicated that the developed discrimination model established by PCA plus FDA was efficient in predicting the presence of other low-price edible oils in camellia seed oils.
- Open Access
- 1 January 2019
- Published by Taylor & Francis in International Journal of Food Properties
- Vol. 22 (1) , 1122-1133
Structural properties of sweet potato starch and its vermicelli quality as affected by heat-moisture treatment
The gel properties and structural changes of sweet potato starch induced by heat-moisture treatment (HMT) were investigated, and its vermicelli textural properties were revealed. HMT increased the relative crystallinity, and the crystallinity reduced with increasing moisture content, which was consistent with the results of DSC. RVA results revealed that the HMT starches showed an increased setback viscosity and a reduced breakdown viscosity, indicating that the HMT starches gel lead a stronger retrogradation tendency. Rheometer results indicated that the HMT starches had a stronger elasticity behavior. The content of amylose of starch and the possible amylose fine molecular change during HMT at different water content were hypothesized, and this caused the gel properties of starch. Consequently, the HMT starch vermicelli exhibited higher hardness, springiness, and chewiness. These mechanistic relations among starch structure, gel properties, and vermicelli quality during HMT will provide useful information for the starch vermicelli industry.
- 1 January 2019
- Published by Taylor & Francis in International Journal of Food Properties
- Vol. 22 (1) , 1122-1133
Open AccessStructural properties of sweet potato starch and its vermicelli quality as affected by heat-moisture treatment
The gel properties and structural changes of sweet potato starch induced by heat-moisture treatment (HMT) were investigated, and its vermicelli textural properties were revealed. HMT increased the relative crystallinity, and the crystallinity reduced with increasing moisture content, which was consistent with the results of DSC. RVA results revealed that the HMT starches showed an increased setback viscosity and a reduced breakdown viscosity, indicating that the HMT starches gel lead a stronger retrogradation tendency. Rheometer results indicated that the HMT starches had a stronger elasticity behavior. The content of amylose of starch and the possible amylose fine molecular change during HMT at different water content were hypothesized, and this caused the gel properties of starch. Consequently, the HMT starch vermicelli exhibited higher hardness, springiness, and chewiness. These mechanistic relations among starch structure, gel properties, and vermicelli quality during HMT will provide useful information for the starch vermicelli industry.