Ting Fang

Dr. Ting Fang


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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24 August 2015 in Journal of Food Process Engineering
Verified
Journal Article
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MLMeijuan Li
Meijuan Li
JLJie Lin
Jie Lin
JCJinquan Chen
Jinquan Chen
TFTing Fang
Ting Fang

20 April 2020 in Food Science & Nutrition
Verified
Journal Article
Open access
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BLBinxiong LIU
Binxiong LIU
ZJZhen Jia
Zhen Jia
CLChangcheng Li
Changcheng Li
JCJinquan Chen
Jinquan Chen
TFTing Fang
Ting Fang
This study was performed to evaluate the hypolipidemic and anti‐atherogenic activities of the crude polysaccharides extracted from abalone viscera (AVCP). The major functional groups of purified polysaccharides were analyzed by infrared spectroscopy (IR). Male Kunming mice (SPF) were divided into six groups and were treated with normal diet or high‐fat diet with AVCP or Xuezhikang (hypotensive drug) for 5 weeks. Physicochemnical analysis of AVCP showed the presence of 60.4% polysaccharides, 17.9% protein, 6.0% fat and 10.9% moisture. The IR analysis of AVP showed the presence of functional groups of sugar moiety and sulfate groups. The results demonstrated that AVCP not only led to significant reduction of total cholesterol (TC), triglycerides (TG), low‐density lipoprotein cholesterol (LDL‐C), and increase of high‐density lipoprotein cholesterol (HDL‐C) in plasma, but also to significant increments of malondialdehyde (MDA) and superoxide dismutase (SOD) activities. However, AVCP played no role in mice weight. Furthermore, the results of the photomicrograph of liver tissue showed that AVCP reduced lipid droplets and prevented the disordered structure of the liver. The results suggested that AVCP exhibited significantly hypolipidemic and anti‐atherogenic activities.

1 November 2020 in Food Control
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Journal Article
Closed access
ZJZhen Jia
Zhen Jia
YPYabo Peng
Yabo Peng
XYXiaotong Yan
Xiaotong Yan
ZZZiye Zhang
Ziye Zhang
TFTing Fang
Ting Fang
CLChangcheng Li
Changcheng Li

19 December 2018 in Journal of Food Science
Verified
Journal Article
Closed access
PDF file
ZJZhen Jia
Zhen Jia
CLChangcheng Li
Changcheng Li
TFTing Fang
Ting Fang
JCJinquan Chen
Jinquan Chen

1 November 2020 in Journal of Dairy Science
Verified
Journal Article
Closed access
ZXZhaopeng Xie
Zhaopeng Xie
YPYabo Peng
Yabo Peng
CLChangcheng Li
Changcheng Li
XLXiaojuan Luo
Xiaojuan Luo
ZWZhaoyi Wei
Zhaoyi Wei
LHLihan Huang
Lihan Huang
Staphylococcus aureus is a common foodborne pathogen that is ubiquitous in nature. Consumption of contaminated foods, such as dairy products, can lead to food poisoning caused by heat-stable staphylococcal toxins that are not easily destroyed during pasteurization. The objective of this study was to investigate the growth kinetics of S. aureus and background microorganisms in camel milk stored at different temperatures between 8 and 43°C using one-step kinetic analysis to estimate the kinetic parameters from the observed growth curves. The growth of S. aureus showed apparent lag, exponential, and stationary phases, whereas no or negligible lag phase was observed for background microorganisms. Data analysis showed that the estimated minimum, optimum, and maximum growth temperatures were 5.9, 42.0, and 49.2°C for S. aureus, and 3.0, 38.6, and 49.2°C for the background microorganisms, respectively. The estimated optimum specific growth rate was higher for S. aureus (1.24 h-1) than for background microorganisms (0.995 h-1). This study found that camel milk may inhibit the growth of S. aureus, as it exhibits a lower specific growth rate than that in cow milk or cooked potato. It also has a longer lag phase than that in cow milk at comparable temperature ranges. This unique property is probably related to the presence of some antimicrobial compounds naturally occurring in camel milk. Validation of kinetic parameters and models showed that the root mean square error of prediction was only 0.5 log cfu/mL for S. aureus and background microorganisms, suggesting that the models are reasonably accurate. These models can be used for conducting risk assessments of S. aureus and predicting the general microbiological shelf life of camel milk to prevent foodborne staphylococcal poisoning.