Xiang Luo

Jinan University

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Rong‐Rong He

Jinan University

Mingxian Liu

Tongji University

Yue Feng

University of Science and Technology Beijing

Xueying Bai

Southwest University of Science and Technology

Shu‐Hua Ouyang

Jinan University

Hu Shuwei

Northwest University

Qinjie Ling

First Affiliated Hospital of Guangzhou Medical University

Chunqiu Guo

Research Institute of Petroleum Exploration and Development

Lin Dong

Capital University of Physical Education and Sports

C. Enjey Lin

Fujian Electric Power Survey & Design Institute

Cooperative Institutions

Jinan University

Guangzhou University of Chinese Medicine

Chinese Academy of Sciences

Southern Medical University

Ministry of Education of the People's Republic of China

Jiujiang University

Northwest University

Peking University

Xi'an University of Architecture and Technology

Central South University

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A functional hyperbranched binder enabling ultra-stable sulfur cathode for high-performance lithium-sulfur battery

Journal of Energy Chemistry (2020)

Xiang Luo Xianbo Lu Xiaodong Chen Ya Chen Chunyang Yu

Polysulfide

Lithium–sulfur battery

10.1016/j.jechem.2020.02.041

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Citations (39)

Regulation of enzymatic lipid peroxidation in osteoblasts protects against postmenopausal osteoporosis

Nature Communications (2025)

Qiongyi Zhang Hai-Biao Gong Man-Ya Jiang Fujun Jin Guan Wang

Oxidative stress plays a critical role in postmenopausal osteoporosis, yet its impact on osteoblasts remains underexplored, limiting therapeutic advances. Our study identifies phospholipid peroxidation in osteoblasts as a key feature of postmenopausal osteoporosis. Estrogen regulates the transcription of glutathione peroxidase 4 (GPX4), an enzyme crucial for reducing phospholipid peroxides in osteoblasts. The deficiency of estrogen reduces GPX4 expression and increases phospholipid peroxidation in osteoblasts. Inhibition or knockout of GPX4 impairs osteoblastogenesis, while the elimination of phospholipid peroxides rescues bone formation and mitigates osteoporosis. Mechanistically, 4-hydroxynonenal, an end-product of phospholipid peroxidation, binds to integrin-linked kinase and triggers its protein degradation, disrupting RUNX2 signaling and inhibiting osteoblastogenesis. Importantly, we identified two natural allosteric activators of GPX4, 6- and 8-Gingerols, which promote osteoblastogenesis and demonstrate anti-osteoporotic effects. Our findings highlight the detrimental role of phospholipid peroxidation in osteoblastogenesis and underscore GPX4 as a promising therapeutic target for osteoporosis treatment.

Postmenopausal osteoporosis

10.1038/s41467-025-55929-4

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Purification and Characterization of a Highly Efficient Calcium-Independent α-Amylase from Talaromyces pinophilus 1-95

PLoS ONE (2015)

Liang Xian Fei Wang Xiang Luo Yu-Liang Feng Jia‐Xun Feng

Alpha-amylase is a very important enzyme in the starch conversion process. Most of the α-amylases are calcium-dependent and exhibit poor performance in the simultaneous saccharification and fermentation process of industrial bioethanol production that uses starch as feedstock. In this study, an extracellular amylolytic enzyme was purified from the culture broth of newly isolated Talaromyces pinophilus strain 1-95. The purified amylolytic enzyme, with an apparent molecular weight of 58 kDa on SDS-PAGE, hydrolyzed maltopentaose, maltohexaose, and maltoheptaose into mainly maltose and maltotriose and minor amount of glucose, confirming the endo-acting mode of the enzyme, and hence, was named Talaromyces pinophilus α-amylase (TpAA). TpAA was most active at pH 4.0–5.0 (with the temperature held at 37°C) and 55°C (at pH 5.0), and stable within the pH range of 5.0–9.5 (at 4°C) and below 45°C (at pH 5.0). Interestingly, the Ca2+ did not improve its enzymatic activity, optimal temperature, or thermostability of the enzyme, indicating that the TpAA was Ca2+-independent. TpAA displayed higher enzyme activity toward malto-oligosaccharides and dextrin than other previously reported α-amylases. This highly active Ca2+-independent α-amylase may have potential applications in starch-to-ethanol conversion process.

Maltotriose

Thermostability

Dextrin

Alpha-amylase

Mashing

10.1371/journal.pone.0121531

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Citations (72)

Systematic studies on blood coagulation mechanisms of halloysite nanotubes-coated PET dressing as superior topical hemostatic agent

Chemical Engineering Journal (2021)

Yue Feng Xiang Luo Fan Wu Hongzhong Liu Enyu Liang

Halloysite

Hemostatic Agent

10.1016/j.cej.2021.132049

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Citations (92)

ResNest-SVM-based method for identifying single-phase ground faults in active distribution networks

Frontiers in Energy Research (2024)

Qingwen Lian Xiang Luo Lin Dong C. Enjey Lin Bingxi Chen

Single-phase grounding fault is the most common fault type in the distribution network. An accurate and effective single-phase grounding fault identification method is a prerequisite for maintaining the safe and stable operation of the power grid. Most neutral points of the active distribution network are grounded through arc suppression coils. In the active distribution network, the power supply in the network changes from one to multiple, which may change the direction of the fault current. In this paper, the superposition theorem is used to analyze the difference in the boosting effect of different types of distributed generators (DG) on line mode current in the sequence network diagram when DG is connected upstream or downstream of the fault point. Secondly, the composition of the zero-mode transient current of the fault line is analyzed. A judgment method based on the superposition diagram of transient zero-sequence voltage and current is proposed. Then, this paper improves the ResNest network and modifies the classifier of the last fully connected layer to SVM. Finally, the model in PSCAD is used to simulate single-phase grounding faults to obtain the training set and validation set. These datasets are used to train and test AlexNet, ResNet50, ResNeSt, and ResNeSt-SVM. The results show that under different fault points, transition resistances, DG access upstream and downstream of the fault point, and different fault initial phase angles, the ResNest-SVM model method can accurately identify the fault line and has better anti-noise ability than the other three network structures.

10.3389/fenrg.2024.1501737

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Bulk Density Response and Experimental Study of Pulsed Neutron-Gamma Density Logging

Frontiers in Earth Science (2022)

Hu Wang Aizhong Yue Xiaolei Zhang Jizhou Tang Xuxin He

The pulsed neutron-gamma density logging technique is used to measure the bulk density of formations based on the detection of gamma rays from the inelastic scattering of neutrons in the formations. However, the induced gamma ray source is regarded as a function of neutron transport and cannot be considered a “point” source. Due to the high energy level of gamma rays, the attenuation of inelastic gamma rays is affected by Compton scattering and pair production. Therefore, bulk density can be measured using inelastic gamma rays while considering the effects of neutron transport and pair production. In this article, a novel density measurement method that uses a completely different response model is proposed to improve the accuracy of density measurement. The process of neutron-gamma density measurement is divided into the neutron transport group and the gamma ray transport group in accordance with the neutron-gamma coupled field theory. A novel density estimation algorithm is derived from the diffusion equation and the gamma ray attenuation law. The accuracy and specification of density measurement are investigated through the Monte Carlo simulation and the calibration of test pits. Theoretical and experimental analyses show that the neutron transport and gamma ray transport are not entirely independent of each other in the pulsed neutron-gamma density measurement. The newly developed model can effectively enable the inelastic gamma rays to conform to the gamma ray attenuation law and keep the measurement accuracy at ±0.025 g/cm 3 . Moreover, neutron-gamma density is insensitive to the porosity and lithology of the formation. The proposed novel algorithm successfully establishes the calculation model for the relationship between inelastic gamma rays and bulk density, providing a new perspective for density measurement in pulsed neutron-gamma density logging.

10.3389/feart.2022.803775

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Functional Study of SAMD9L in Familial Gastric Cancer

The Turkish Journal of Gastroenterology (2023)

Xu Kaixuan Xiaobin Zhang Tang Jiaxuan Liu Shihui Wang Xinxin

Familial aggregation occurs in approximately 10% of cases of gastric cancer. The genetic predisposition or cause of the disease in only about 40% of hereditary gastric cancer cases is known, while the genetic factors of the remaining cases remain to be studied.Samples were collected from a family with gastric cancer, including 3 gastric cancer and 17 healthy samples. Whole-exome sequencing was performed on samples from 3 patients with gastric cancer and 1 sample from healthy peripheral blood. SAMD9L was knocked down using small interfering RNAs and short hairpin RNA. The expression of SAMD9L was detected by quantitative real-time polymerase chain reaction and Western blot in SGC-7901 cells. CCK-8 assay was used to detect the proliferation of gastric cancer cells. The migration and invasion of gastric cancer cells were detected by Transwell assay and scratch assay. The cell apoptosis was detected by flow cytometry.Twelve single-nucleotide variants and 9 insertions/deletions mutation sites were identified as candidate genes. Among them, SAMD9L regulates cell proliferation as a tumor suppressor gene. The experiments of knocking down SAMD9L in SGC-7901 cells revealed that reduced expression of SAMD9L significantly enhanced the proliferation, migration, and invasion of SGC-7901 cells.These results suggest that SAMD9L inhibits the proliferation of gastric cancer cells, thereby increasing the risk of gastric cancer in people with SAMD9L downregulation. Therefore, SAMD9L may represent a susceptibility gene of this gastric cancer family.

10.5152/tjg.2023.22267

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Citations (1)

Mechanistic study of the effect of potassium ferrate and straw fiber on the enhancement of strength in cement-based solidified municipal sludge

Scientific Reports (2023)

Qiyong Yang Weixin Xu Yahong Yang Xinxia Liu Q.X. Su

Abstract The high content of organic matter in sludge is the primary reason for the poor solidifying effect and excessive dosage of the cement base. In this study, potassium ferrate and straw fiber are utilized to synergistically enhance the solidifying effect of the cement and elaborate the strength mechanisms. Among them, potassium ferrate was selected to oxidize and crack the structure of organic matter in sludge and consume part of organic matter; straw fiber was used as an adsorption material to absorb some of the organic material and reduce its interference with the cement hydration reaction; the skeleton function of straw fiber in solidified sludge was used to improve the final solidified sludge strength. It is shown that the presence of these two additives significantly improved the cement solidification strength and reduced the moisture content of the solidified body. Moreover, the moisture content and strength followed an obvious linear relationship (adjusted R 2 = 0.92), with the strength increasing as the moisture content decreased. After pretreatment with potassium ferrate, the free water content in the dewatered sludge increased by 4.5%, which was conducive to the adequate hydration reaction with cement. The analysis using X-ray diffraction (XRD), scanning electron microscopy with energy dispersive X-ray spectroscopy (SEM/EDS), and mercury intrusion porosimetry (MIP) revealed potassium ferrate synergizes with straw fibers to promote the production of hemihydrate gypsum and gismondine. However, hemihydrate gypsum, calcium carbonate, and gismondine resulted in structural swelling, which was confirmed by the microscopic morphology and pore structure analysis. However, the adverse effects due to swelling were offset by the increase in strength brought by the above crystalline substances.

Potassium ferrate

10.1038/s41598-023-34869-3

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Citations (2)

Accelerating the design of catalysts for CO2 electroreduction to HCOOH: A data-driven DFT-ML screening of dual atom catalysts

Journal of Energy Chemistry (2024)

Huiwen Zhu Zeyu Guo Dawei Lan Shuai Liu Min Liu

Dual-atom catalysts (DACs) have emerged as potential catalysts for effective electroreduction of CO2 due to their high atom utilization efficiency and multiple active sites. However, the screening of DACs remains a challenge due to the large number of possible combinations, making exhaustive experimental or computational screening a daunting task. In this study, a density functional theory (DFT)-based machine learning (ML)-accelerated (DFT-ML) hybrid approach was developed to test a set of 406 dual transition metal catalysts on N-doped graphene (NG) for the electroreduction of CO2 to HCOOH. The results showed that the ML algorithms can successfully capture the relationship between the descriptors of the DACs (inputs) and the limiting potential for HCOOH generation (output). Of the four ML algorithms studied in this work, the feedforward neural network model achieved the highest prediction accuracy (the highest correlation coefficient (R2) of 0.960 and the lowest root mean square error (RMSE) of 0.319 eV on the test set) and the predicted results were verified by DFT calculations with an average absolute error of 0.14 eV. The DFT-ML approach identified Co-Co-NG and Ir-Fe-NG as the most active and stable electrocatalysts for the electrochemical reduction of CO2 to HCOOH. The DFT-ML hybrid approach exhibits exceptional prediction accuracy while enabling a significant reduction in screening time by an impressive 64% compared to conventional DFT-only calculations. These results demonstrate the immense potential of using ML methods to accelerate the screening and rational design of efficient catalysts for various energy and environmental applications.

10.1016/j.jechem.2024.08.015

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Citations (1)

New insights into alkalinity regulation in microflocculation-ultrafiltration process: Synergistic mechanisms for scale inhibition, enhanced flocculation and mitigation of membrane fouling

Separation and Purification Technology (2023)

Kunyu Chen Xiang Luo Xiaojiang Huang Zhiqiang Zhang Heliang Pang

Ultrafiltration (renal)

Alkalinity

Membrane Fouling

Raw water

Filtration (mathematics)

10.1016/j.seppur.2023.123222

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Citations (9)