Li Ning

Prof. Dr. Li Ning


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

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

Representative Publications

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5 October 2022 in Molecules
Verified
Journal Article
Open access
PDF file
GXGuangxu Xing
Guangxu Xing
XSXuefeng Sun
Xuefeng Sun
LNLi Ning
Li Ning
XLXuewu Li
Xuewu Li
TWtiantian Wu
tiantian Wu
FWFangyu Wang
Fangyu Wang
With the continuous development of China’s economy and society, people and the government have higher and higher requirements for food safety. Testing for food dopants and toxins can prevent the occurrence of various adverse health phenomena in the world’s population. By deploying new and powerful sensors that enable rapid sensing processes, the food industry can help detect trace adulteration and toxic substances. At present, as a common food safety detection method, lateral flow immunochromatography (LFI) is widely used in food safety testing, environmental testing and clinical medical treatment because of its advantages of simplicity, speed, specificity and low cost, and plays a pivotal role in ensuring food safety. This paper mainly focuses on the application of lateral flow immunochromatography and new technologies combined with test strips in food safety detection, such as aptamers, surface-enhanced Raman spectroscopy, quantum dots, electrochemical test strip detection technology, biosensor test strip detection, etc. In addition, sensing principles such as fluorescence resonance energy transfer can also more effective. Different methods have different characteristics. The following is a review of the application of these technologies in food safety detection.

28 November 2025 in Molecular Neurobiology
Verified
Journal Article
Closed access
PDF file
HYHuijie Yang
Huijie Yang
FWFangyu Wang
Fangyu Wang
QLQian Li
Qian Li
TLTiange Li
Tiange Li
BZBei Zhang
Bei Zhang
LNLi Ning
Li Ning

4 September 2026 in Frontiers in Nutrition
Verified
Journal Article
Open access
PDF file
IBIbrahim A. Bakry
Ibrahim A. Bakry
WWWei Wei
Wei Wei
LNLi Ning
Li Ning
MAMohamed Abouzid
Mohamed Abouzid
XWXingguo Wang
Xingguo Wang
AGAmal Gohary
Amal Gohary
Human milk is the gold standard for infant nutrition. This study aimed to develop a camel milk fat-based human milk lipid mimetic whose fatty acid (FA) composition, structural properties, and in vitro digestibility more closely resemble those of human milk fat than conventional vegetable oil-based formulas. Camel milk (CM) fat was physically blended with sunflower, rapeseed, palm kernel, fish oils, and 1,3-dioleoyl-2-palmitoylglycerol using a computational optimization model to approximate the total and sn-2 FA profiles of Egyptian human milk. The resulting formulation, together with three commercial formulas and human milk, was compared for total and sn-2 FAs by gas chromatography, similarity indices, FTIR, DSC characteristics, and dynamic in vitro gastrointestinal digestion, including lipolysis degree and free FA release. IFCM contained 29 detectable fatty acids, matching human milk and exceeding commercial formulas ( ≤ 19), and reduced fatty acid mismatches with human milk to 11 vs. 12–19 in commercial products. Total saturated fatty acids reached 50.99%, and sn-2 palmitic acid 34.76%, closer to human milk than in commercial formulas. Intestinal lipolysis at 120 min was 66.47% for IFCM vs. 69.93% for human milk and 60.28%−65.43% for commercial formulas, while FTIR and DSC profiles of IFCM aligned more closely with human milk than with vegetable oil-based formulas. Combining CM fat with selected oils resulted in an infant formula with improved compositional and structural resemblance to human milk fat, as well as enhanced in vitro lipid digestion, compared to conventional formulas. IFCM represents a promising candidate human milk fat mimetic, warranting in vivo evaluation of its effects on infant growth, mineral absorption, and metabolic outcomes.

18 August 2026
Verified
Book Chapter
Closed access
PDF file
ASAyman Saber
Ayman Saber
DEDina M. El-Sherif
Dina M. El-Sherif
AEAlaa Elmesery
Alaa Elmesery
IBIbrahim Bakry
Ibrahim Bakry
Hazem GolshanyHazem Golshany
Hazem Golshany
LNLi Ning
Li Ning

2 July 2026
Verified
Book Chapter
Closed access
PDF file
DEDina M. El-Sherif
Dina M. El-Sherif
ASAyman Saber
Ayman Saber
AEAlaa Elmesery
Alaa Elmesery
IBIbrahim Bakry
Ibrahim Bakry
LNLi Ning
Li Ning
YXYunfei Xie
Yunfei Xie