Xiping Nan
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Xiping Nan has a total of 20 co-authors. Here are the top co-authors by number of shared publications:
- Hongrui Sun
Institute of Agro-Food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun 130033, China
2 shared publications - Lining Kang
Institute of Agro-Food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun 130033, China
2 shared publications - Xiangying Liu
Institute of Agro-Food Technology, Jilin Academy of Agricultural Sciences (Northeast Agricultural Research Center of China), Changchun 130033, China
2 shared publications - Xianpeng Zeng
Institute of Agro-food Technology, Jilin Academy of Agricultural Sciences, Changchun 130033, China
2 shared publications - Yue Meng
Institute of Agro-food Technology, Jilin Academy of Agricultural Sciences, Changchun 130033, China
2 shared publications - Zhiqiang Yang
Institute of Agro-Food Technology , 125389 Jilin Academy of Agricultural Sciences (Northeast Agriculture Research Center of China) , Changchun 130033 , P.R. China
2 shared publications
Latest Publications
- Open Access
Study on Protein Structures of Eight Mung Bean Varieties and Freeze-Thaw Stability of Protein-Stabilized Emulsions
In order to evaluate the freeze-thaw stability of mung bean protein isolate (MPI)-stabilized emulsions and its relationship with protein structure, proteins of eight mung bean varieties were compared. The results revealed that MPIs prepared from all eight varieties were mainly composed of five subunit bands, with albumin and globulin content ranges of 188.4–310.3 and 301.1–492.7 mg/g total protein, respectively. Protein structural analysis revealed that random coil structure (32.34–33.51%) accounted for greater than 30% of MPI secondary structure. Meanwhile, analysis of protein properties revealed emulsifying activity index (EAI), emulsifying stability index (ESI) and flexibility value ranges of 6.735–8.598 m2/g, 20.13–34.25% and 0.125–0.182, respectively. Measurements of freeze-thaw stability of MPI emulsions demonstrated that exposures of emulsions to multiple freeze-thaw cycles resulted in significantly different emulsion creaming index, oiling-off, particle size and zeta potential values for the various emulsions. Moreover, the stabilities of all eight protein emulsions decreased with each freeze-thaw cycle, as demonstrated using optical micrographs. The correlation analysis method was used to study the correlation between the original structures, emulsifying properties of proteins and the freeze-thaw stability of MPI emulsions. Correlation analysis results revealed significant relationships between albumin content, subunit bands with a molecular weight of 26.9 kDa and emulsifying properties were significantly related to the freeze-thaw stability of MPI emulsion. Thus, by determining these indicator values, we can predict the freeze-thaw stability of MPI-stabilized emulsions.
Open AccessStudy on Protein Structures of Eight Mung Bean Varieties and Freeze-Thaw Stability of Protein-Stabilized Emulsions
In order to evaluate the freeze-thaw stability of mung bean protein isolate (MPI)-stabilized emulsions and its relationship with protein structure, proteins of eight mung bean varieties were compared. The results revealed that MPIs prepared from all eight varieties were mainly composed of five subunit bands, with albumin and globulin content ranges of 188.4–310.3 and 301.1–492.7 mg/g total protein, respectively. Protein structural analysis revealed that random coil structure (32.34–33.51%) accounted for greater than 30% of MPI secondary structure. Meanwhile, analysis of protein properties revealed emulsifying activity index (EAI), emulsifying stability index (ESI) and flexibility value ranges of 6.735–8.598 m2/g, 20.13–34.25% and 0.125–0.182, respectively. Measurements of freeze-thaw stability of MPI emulsions demonstrated that exposures of emulsions to multiple freeze-thaw cycles resulted in significantly different emulsion creaming index, oiling-off, particle size and zeta potential values for the various emulsions. Moreover, the stabilities of all eight protein emulsions decreased with each freeze-thaw cycle, as demonstrated using optical micrographs. The correlation analysis method was used to study the correlation between the original structures, emulsifying properties of proteins and the freeze-thaw stability of MPI emulsions. Correlation analysis results revealed significant relationships between albumin content, subunit bands with a molecular weight of 26.9 kDa and emulsifying properties were significantly related to the freeze-thaw stability of MPI emulsion. Thus, by determining these indicator values, we can predict the freeze-thaw stability of MPI-stabilized emulsions.
- 1 January 2022
- Published by Elsevier in Food Chemistry
- Vol. 367, 130580
Effects of treatment methods on the formation of resistant starch in purple sweet potato
- 1 January 2022
- Published by Elsevier in Food Chemistry
- Vol. 367, 130580
Effects of treatment methods on the formation of resistant starch in purple sweet potato
- 14 January 2020
- Published by Walter de Gruyter GmbH in International Journal of Food Engineering
- Vol. 16 (1-2)
Influence of Potato Flour on Dough and Steamed Bread Quality and Correlation Analysis
Potato offers numerous health benefits that have yet to be utilized by the food industry. To evaluate the use of potato as an ingredient in staple food products, various proportions of potato flour were added to wheat flour (0–50 %) to form potato–wheat flour mixtures. The mixtures were used to make dough and steamed bread that were tested based on several established quality indicators. Specifically, with increasing potato flour proportion above 20 %, dough quality indicators of extensibility, tensile resistance, fermentation volume and fermentation activity exhibited downward trends, with worsening microstructural, while steamed bread exhibited decreasing specific volume, decreasing brightness, worsening textural properties, increasing yellowness and increasing lysine content. However, for dough and steamed bread made from flour mixtures containing 10–20 % potato flour, quality indicators were not significantly different from corresponding control values (100 % wheat flour). Notably, correlation analysis indicated that tensile and fermentative dough properties significantly correlated with resulting steamed bread quality. Therefore, only data measurements for these dough indicators are needed to predict steamed bread quality, in order to reduce testing workload during evaluation of ingredient formulations for steamed bread production.
- 14 January 2020
- Published by Walter de Gruyter GmbH in International Journal of Food Engineering
- Vol. 16 (1-2)
Influence of Potato Flour on Dough and Steamed Bread Quality and Correlation Analysis
Potato offers numerous health benefits that have yet to be utilized by the food industry. To evaluate the use of potato as an ingredient in staple food products, various proportions of potato flour were added to wheat flour (0–50 %) to form potato–wheat flour mixtures. The mixtures were used to make dough and steamed bread that were tested based on several established quality indicators. Specifically, with increasing potato flour proportion above 20 %, dough quality indicators of extensibility, tensile resistance, fermentation volume and fermentation activity exhibited downward trends, with worsening microstructural, while steamed bread exhibited decreasing specific volume, decreasing brightness, worsening textural properties, increasing yellowness and increasing lysine content. However, for dough and steamed bread made from flour mixtures containing 10–20 % potato flour, quality indicators were not significantly different from corresponding control values (100 % wheat flour). Notably, correlation analysis indicated that tensile and fermentative dough properties significantly correlated with resulting steamed bread quality. Therefore, only data measurements for these dough indicators are needed to predict steamed bread quality, in order to reduce testing workload during evaluation of ingredient formulations for steamed bread production.