Haiou Wang

Dr. Haiou Wang


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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29 April 2022 in Nutrients
Verified
Journal Article
Open access
PDF file
CTChuan-Feng Tang
Chuan-Feng Tang
CWCongying Wang
Congying Wang
JWJun-Han Wang
Jun-Han Wang
QWQiao-Na Wang
Qiao-Na Wang
SLShen-Jie Li
Shen-Jie Li
JLJianmei Li
Jianmei Li
Excessive fructose intake is associated with the increased risk of mental illness, such as depression, but the underlying mechanisms are poorly understood. Our previous study found that high fructose diet (FruD)-fed mice exhibited neuroinflammation, hippocampal neurogenesis decline and blood–brain barrier (BBB) damage, accompanied by the reduction of gut microbiome-derived short-chain fatty acids (SCFAs). Here, we found that chronic stress aggravated these pathological changes and promoted the development of depressive-like behaviors in FruD mice. In detail, the decreased number of newborn neurons, mature neurons and neural stem cells (NSCs) in the hippocampus of FruD mice was worsened by chronic stress. Furthermore, chronic stress exacerbated the damage of BBB integrity with the decreased expression of zonula occludens-1 (ZO-1), claudin-5 and occludin in brain vasculature, overactivated microglia and increased neuroinflammation in FruD mice. These results suggest that high fructose intake combined with chronic stress leads to cumulative negative effects that promote the development of depressive-like behaviors in mice. Of note, SCFAs could rescue hippocampal neurogenesis decline, improve BBB damage and suppress microglia activation and neuroinflammation, thereby ameliorate depressive-like behaviors of FruD mice exposed to chronic stress. These results could be used to develop dietary interventions to prevent depression.

1 February 2018 in Journal of Food Quality
Verified
Journal Article
Open access
PDF file
HWHaiou Wang
Haiou Wang
QFQing-Quan Fu
Qing-Quan Fu
SCShou-Jiang Chen
Shou-Jiang Chen
ZHZhi-Chao Hu
Zhi-Chao Hu
HXHuan-Xiong Xie
Huan-Xiong Xie
The effect of hot-water blanching (HWB) on drying characteristics and product qualities of dried apple slices with the novel integrated freeze-drying (NIFD) process was investigated by comparing with 3 different FD methods. Compared with the NIFD process without HWB pretreatment (VF-FD), the NIFD process with HWB pretreatment (HWB-VF-FD) resulted in a significantly higher mass loss and more sufficient freezing in vacuum-frozen samples, significantly higher rehydration ratio (RR), higher shrinkage ratio (SR), smaller Vitamin C (VC) content and lower hardness and better apparent shape in freeze-dried samples, and fewer change to the color of the dried or rehydrated samples (p<0.05). Compared with the conventional FD process with HWB pretreatment (HWB-PF-FD), HWB-VF-FD cost significantly less processing time and FD time and obtained significantly higher RR (p<0.05), almost the equivalent SR, VC content, and hardness, and similar appearance in dried samples. The microstructure of apple cell tissues was analyzed by transmission electron microscopy and scanning electron microscopy to interpret the above differences in drying characteristics and product qualities. The results suggested that the NIFD process of apple slices with HWB pretreatment was a promising alternative method to decrease drying time, achieve similar product quality, and simplify the process steps of the conventional FD technology.

20 January 2023 in LWT
Verified
Journal Article
Open access
RZRu Zhao
Ru Zhao
HXHongwei Xiao
Hongwei Xiao
CLChunju Liu
Chunju Liu
HWHaiou Wang
Haiou Wang
YWYulong Wu
Yulong Wu
YWYaoyao Wang
Yaoyao Wang

6 March 2022 in International Journal of Food Properties
Verified
Journal Article
Open access
HWHaiou Wang
Haiou Wang
Hong-Wei XiaoHong-Wei Xiao
Hong-Wei Xiao
YWYulong Wu
Yulong Wu
FZFeng Zhou
Feng Zhou
CHChun Hua
Chun Hua
WZWei Zhang
Wei Zhang
Lemon fruits have a non-uniform histological structure, and are characterized by abundant volatile compounds. However, the distribution of volatile compounds in different tissues remain unknown. Herein, electronic nose (E-nose) and headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) were employed to qualitatively and quantitatively analyze the volatile compound content in different tissues of fresh lemon fruits, while their microstructures were observed using several microscopy methods. The numbers of volatile compounds detected in the flavedo, albedo, juice vesicles, and segment wall were 41, 23, 29, and 19, respectively. The volatile compounds detected in the four tissues were mainly alkenes, alcohols, aldehydes, esters, and ketones, with a significant descending order in the total content (p < .05). The measurements of E-nose and HS-SPME-GC-MS both showed that the highest total content of volatile compounds was in the flavedo, followed by albedo, juice vesicles, and segment wall (p < .05). Furthermore, oil sacs and oil droplets were only observed in the flavedo by microstructure observation, where more essential oils (mainly volatile compounds) were distributed. The microstructure observation results also verified the measurement results of the E-nose and HS-SPME-GC-MS. These findings provide basic data for sensory evaluation and the comprehensive processing and utilization of lemon fruits.

16 February 2024 in Food Chemistry: X
Verified
Journal Article
Open access
FYFeifei Yang
Feifei Yang
QWQianju Wang
Qianju Wang
WLWuyi Liu
Wuyi Liu
HXHongwei Xiao
Hongwei Xiao
JHJiaqi Hu
Jiaqi Hu
HWHaiou Wang
Haiou Wang
• Volatiles’ total content showed a first fast and then slow decrease during drying. • The IFD samples preserved higher content of volatiles, free amino acids, and soluble sugars. • Most volatile compounds showed negative correlations with amino acids. • Most volatile compounds showed positive correlations with soluble sugars.

1 October 2019 in International Journal of Food Science and Technology
Verified
Journal Article
Closed access
PDF file
HWHaiou Wang
Haiou Wang
SLSi‐Hong Liu
Si‐Hong Liu
XZXue‐Jie Zhou
Xue‐Jie Zhou
XYXiao‐Yue Yang
Xiao‐Yue Yang
QGQi Gao
Qi Gao
YXYoulin Xue
Youlin Xue