Lu Liu
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
Research Subjects
Lu Liu has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- Hong Ma
Gansu University of Chinese Medicine, Lanzhou 730000, China
1 shared publication - Junhong Liu
Gansu University of Chinese Medicine, Lanzhou 730000, China
1 shared publication - Lei Yan
College of Earth Sciences, Guilin University of Technology, Guilin 541004, China
1 shared publication - Miaolei Wang
Gansu University of Chinese Medicine, Lanzhou 730000, China
1 shared publication - Sanxi Peng
College of Earth Sciences, Guilin University of Technology, Guilin, China
1 shared publication - Songping Yu
College of Earth Sciences, Guilin University of Technology, Guilin 541004, China
1 shared publication
Latest Publications
- Open Access
- 4 November 2026
- Published by MDPI AG in Microorganisms
- Vol. 14 (11) , 2543
Engineered Micro- and Nanoscale Delivery Platforms for Irritable Bowel Syndrome: Microbiota–Mucosal Immune Interactions and Translational Evidence
Irritable bowel syndrome is a disorder of gut–brain interaction characterized by recurrent abdominal pain and altered bowel habits. Interactions among intestinal microorganisms and their metabolites, the epithelial barrier, mucosal immunity, and gut–brain signaling provide important insights into the heterogeneity of this condition. Engineered micro- and nanoscale carriers may improve the stability of orally administered bioactive agents and facilitate local intestinal delivery while modulating relevant pathological processes through protection of viable microorganisms, delivery of microbial metabolites, or direct regulation of host cells. This review examines major mechanisms underlying microbiota–immune interactions and summarizes advances in colon-targeted delivery, protective carriers for probiotics, plant-derived vesicle-like preparations, and microalgae-based hybrid systems. We further discuss the biological characteristics of different clinical subtypes and key translational challenges, including safety, quality control, and rigorous verification of therapeutic efficacy. In particular, evidence from direct irritable bowel syndrome studies is distinguished from findings in symptom-based models, other disease models, and fundamental mechanistic experiments.
- 4 November 2026
- Published by MDPI AG in Microorganisms
- Vol. 14 (11) , 2543
Open AccessEngineered Micro- and Nanoscale Delivery Platforms for Irritable Bowel Syndrome: Microbiota–Mucosal Immune Interactions and Translational Evidence
Irritable bowel syndrome is a disorder of gut–brain interaction characterized by recurrent abdominal pain and altered bowel habits. Interactions among intestinal microorganisms and their metabolites, the epithelial barrier, mucosal immunity, and gut–brain signaling provide important insights into the heterogeneity of this condition. Engineered micro- and nanoscale carriers may improve the stability of orally administered bioactive agents and facilitate local intestinal delivery while modulating relevant pathological processes through protection of viable microorganisms, delivery of microbial metabolites, or direct regulation of host cells. This review examines major mechanisms underlying microbiota–immune interactions and summarizes advances in colon-targeted delivery, protective carriers for probiotics, plant-derived vesicle-like preparations, and microalgae-based hybrid systems. We further discuss the biological characteristics of different clinical subtypes and key translational challenges, including safety, quality control, and rigorous verification of therapeutic efficacy. In particular, evidence from direct irritable bowel syndrome studies is distinguished from findings in symptom-based models, other disease models, and fundamental mechanistic experiments.
- Open Access
- 19 January 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (3) , 1341
Calculation of Theoretical Travel Time and Automatic Picking of Actual Travel Time in Seismic Data
We used the ray tracing technique based on the IASP91 Earth model to calculate the travel times in order to identify the phases. This technique can calculate the travel times for the seismic phases in the conventional travel time tables. The waveform data received from the stations in the Guangxi area are selected for analysis and discussion. The outcomes of the numerical modeling and its use demonstrate that there is good agreement in terms of the absolute differences between the calculated and theoretical travel times from the ISAP91 tables. The relative residuals are determined directly from the actual arrival times picking during the correlation analysis, and the validity of the travel time method for picking seismic phases by correlation analysis can be demonstrated.
- 19 January 2023
- Published by MDPI AG in Applied Sciences
- Vol. 13 (3) , 1341
Open AccessCalculation of Theoretical Travel Time and Automatic Picking of Actual Travel Time in Seismic Data
We used the ray tracing technique based on the IASP91 Earth model to calculate the travel times in order to identify the phases. This technique can calculate the travel times for the seismic phases in the conventional travel time tables. The waveform data received from the stations in the Guangxi area are selected for analysis and discussion. The outcomes of the numerical modeling and its use demonstrate that there is good agreement in terms of the absolute differences between the calculated and theoretical travel times from the ISAP91 tables. The relative residuals are determined directly from the actual arrival times picking during the correlation analysis, and the validity of the travel time method for picking seismic phases by correlation analysis can be demonstrated.