Research on the Raman properties of NiFe/cicada wing composite SERS platform modified by silver nanoparticles

Zhang Anqi,Guo Liting,Li Na,Zhu Yanying,Jiao Tifeng,Wang Mingli 한국물리학회 2021 Current Applied Physics Vol.25 No.-

Composite structures have been widely concerned in the preparation of surface enhanced Raman scattering (SERS) substrates. In this paper, by solving the problem that the magnetic material was difficult to glow in magnetron sputtering, ferro-nickel (NiFe) alloy was deposited on the cicada wing (CW) and the NiFe/CW substrate was obtained. The results of sliver nanoparticles (Ag NPs) modified on the substrate were subsequently compared, and the SERS properties of the new Ag/NiFe/CW substrate were analyzed. Obviously, the intensity of SERS signals has been greatly improved after the modification of Ag NPs, and the substrate exhibits excellent reproducibility. The Ag NPs modified substrates were also applied to the detection of toxic crystal violet (CV) solution, which showed remarkable SERS activity. It has been proved that the strategy of modifying Ag NPs on the substrate to form a composite structure has great potential for improving the SERS performance of the substrate.

Integrated fault location method for distribution networks based on IACO‑PS

Shuqing Zhang,Xiaowen Zhang,Anqi Jiang,Liguo Zhang,Mingliang Li 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.1

This paper develops a new hybrid method based on an improved ant colony optimization algorithm that incorporates pattern search (IACO-PS) for determining the location of faults in a distribution network. The performance of the conventional ant colony optimization (ACO) algorithm is improved using the opposite-based learning strategy to generate the initial population and adding a weight coefficient into the pheromone update mechanism to dynamically adjust the pheromone volatilization factor. The hybrid IACO-PS algorithm combines the individual strengths of ACO and PS. In addition, the fitness function is constructed by counting the false and missing fault information into the fault variable. In optimizing benchmark function experiments, the proposed hybrid IACO-PS presents a superior performance when compared to other improved versions of ACO. The effectiveness of the proposed approach is corroborated by tests performed on an IEEE 134-bus network. Simulation results show that the proposed hybrid IACO-PS method can determine the location of a fault even in the presence of fault distortion. In addition, it is immune to noise and data loss errors. Finally, the method proposed in this paper significantly outperforms other published fault location methods, and it can accurately locate faults and identify the type of distortion.

Liquid Chromatography-Tandem Mass Spectrometry-Based Metabolomics Analysis of Indigo Naturalis Treatment of Ulcerative Colitis in Mice

Anqi Fan,Bao-Long Hou,Zhishu Tang,Ting Wang,Dongbo Zhang,Yanni Liang,Zheng Wang 한국식품영양과학회 2023 Journal of medicinal food Vol.26 No.12

Ulcerative colitis (UC), often known as UC, is an inflammatory disease of the intestines that has frequent andlong-lasting flare-ups. It is unknown precisely how the traditional Chinese drug Indigo Naturalis (IN) heals inflammatorybowel disease, despite its long-standing use in China and Japan. Finding new metabolite biomarkers linked to UC couldimprove our understanding of the disease, speed up the diagnostic process, and provide insight into how certain drugs work totreat the condition. Our work is designed to use a metabolomic method to analyze potential alterations in endogenoussubstances and their impact on metabolic pathways in a mouse model of UC. To determine which biomarkers and metabolismsare more frequently connected with IN’s effects on UC, liquid chromatography-tandem mass spectrometry analysis ofthe serum metabolomics of UC mice and normal mice was performed. The outcomes demonstrated that IN boosted the healthof UC mice and reduced the severity of their metabolic dysfunction. In the UC model, it was also found that IN changed theway 17 biomarkers and 3 metabolisms functioned.

Myeloid-Derived Suppressor Cells Recruited by Chemokine (C-C Motif) Ligand 3 Promote the Progression of Breast Cancer via Phosphoinositide 3-Kinase-Protein Kinase B-Mammalian Target of Rapamycin Signaling

Anqi Luo,Min Meng,Guanying Wang,Rui Han,Yujiao Zhang,Xin Jing,Lin Zhao,Shanzhi Gu,Xinhan Zhao 한국유방암학회 2020 Journal of breast cancer Vol.23 No.2

Purpose: Numerous studies have shown that the frequency of myeloid-derived suppressor cells (MDSCs) is associated with tumor progression, metastasis, and recurrence. Chemokine (C-C motif ) ligand 3 (CCL3) may be secreted by tumor cells and attract MDSCs into the tumor microenvironment. In the present study, we aimed to explore the molecular mechanisms whereby CCL3 is involved in the interaction of breast cancer cells and MDSCs. Methods: The expression of CCL3 and its receptors was investigated using real-time polymerase chain reaction, western blotting, and enzyme-linked immunosorbent assay. The cell counting Kit-8, wound healing, and transwell assays were performed to study cell growth, migration, and invasion. Cell cycling, apoptosis, and the frequency of MDSCs were investigated through flow cytometry. Transwell assays were used for co-culture and chemotaxis detection. Markers of the epithelial-mesenchymal transition (EMT) were determined with western blotting. The role of CCL3 in vivo was studied via tumor xenograft experiments. Results: CCL3 promoted cell proliferation, migration, invasion, and cycling, and inhibited apoptosis of breast cancer cells in vitro. Blocking CCL3 in vivo inhibited tumor growth and metastases. The frequency of MDSCs in patients with breast cancer was higher than that in healthy donors. Additionally, MDSCs might be recruited by CCL3. Co-culture with MDSCs activated the phosphoinositide 3-kinase-protein kinase B-mammalian target of rapamycin (PI3K-Akt-mTOR) pathway and promoted the EMT in breast cancer cells, and their proliferation, migration, and invasion significantly increased. These changes were not observed when breast cancer cells with CCL3 knockdown were co-cultured with MDSCs. Conclusion: CCL3 promoted the growth of breast cancer cells, and MDSCs recruited by CCL3 interacted with these cells and then activated the PI3K-Akt-mTOR pathway, which led to EMT and promoted the migration and invasion of the cells.

Analyzing green view index and green view index best path using Google street view and deep learning

Zhang Jiahao,Hu Anqi 한국CDE학회 2022 Journal of computational design and engineering Vol.9 No.5

As an important part of urban landscape research, analyzing and studying street-level greenery can increase the understanding of a city’s greenery, contributing to better urban living environment planning and design. Planning the best path of urban greenery is a means to effectively maximize the use of urban greenery, which plays a positive role in the physical and mental health of urban residents and the path planning of visitors. In this paper, we used Google street view to obtain street view images of Osaka City. The semantic segmentation model is adopted to segment the street view images and analyze the green view index (GVI) of Osaka City. Based on the GVI, we take advantage of the adjacency matrix and Floyd–Warshall algorithm to calculate GVI best path, solving the limitations of ArcGIS software. Our analysis not only allows the calculation of specific routes for the GVI best paths but also realizes the visualization and integration of neighborhood urban greenery. By summarizing all the data, we can conduct an intuitive feeling and objective analysis of the street-level greenery in the research area. Based on this, such as urban residents and visitors can maximize the available natural resources for a better life. The dataset and code are available at https://github.com/Jackieam/GVI-Best-Path.

Screening a Panel of Acid-producing Strains by Developing a High-throughput Method

Lijuan Zhu,Hui Zhang,Shiyuan Wang,Anqi Zhao,Lingbo Qu,Wenlong Xiong,Md. Asraful Alam,Wenlong Ma,Yongkun Lv,Jingliang Xu 한국생물공학회 2022 Biotechnology and Bioprocess Engineering Vol.27 No.5

Organic acids are natural cellular metabolites, which are widely used in food, pharmaceutical, and chemical industries. Among them, L-lactic acid is of special interest, because it is widely used in food and pharmaceutical industries and its monopolymer (poly (lactic acid)) is a green, renewable, biodegradable, and biocompatible alternative to the petroleum-based polymers. Currently, organic acids are predominantly produced by microbial fermentation. Their productions have been substantially improved by genetic modifications, metabolic engineering, and fermentation optimizations. However, the commonly used microbial producers still suffer from low acidic tolerance. Screening higher tolerant acid-producing microorganisms from the nature is relatively less explored. The traditional fermented foods are good resources for the screening of acid-producing and probiotic microorganisms. However, they are relatively less explored, especially those foods in developing countries. To speed up the acid-producing microorganism screening, we developed and validated a high-throughput method in this study. By using this method, we screened 1,296 colonies in 4 days and obtained a panel of acid-producing microorganisms. Among them, a Lacticaseibacillus rhamnosus showed the potential for organic acid production and probiotics applications.

Energy-harvesting Q-learning secure routing algorithm with authenticated-encryption for WSN

Li Cuiran,Wu Jixuan,Zhang Zepeng,Lv Anqi 한국통신학회 2023 ICT Express Vol.9 No.6

Wireless sensor networks are susceptible to a variety of network attacks. Due to the limited energy of nodes and selfish nodes in the network, the packet delivery rate is lower. To address these issues, we innovatively propose an energy-harvesting Q-learning secure routing algorithm with authenticated-encryption. The algorithm uses physical unclonable functions and optimized Q-learning to ensure that the transmission path is reliable. Meanwhile, we combine the LSTM-based prediction model to predict the energy value that the nodes replenish. In addition, simulations are performed to compare the performances of the proposed algorithm with other algorithms under different attacks. The proposed algorithm has greater improvements in the packet delivery rate, filtering selfish nodes, and reducing node energy consumption.

Evaluation of the composition and fumigant toxicity against Plodia interpunctella of essential oils from Ajania potaninii and Ajania fruticulosa

Shao Yazhou,Ning Anqi,An Yue,Hou Zhibo,Zhou Feng,He Chuyu,Zhang Ji,Liang Junyu 한국응용곤충학회 2021 Journal of Asia-Pacific Entomology Vol.24 No.4

Indian meal moth, Plodia interpunctella (Lepidoptera: Pyralidae), is a worldwide omnivorous pest. It is the pri mary insect pest in many economically important stored crops. The insecticidal activity of essential oils (EOs) extracted from Ajania potaninii and Ajania fruticulosa were evaluated against Plodia interpunctella. EOs obtained by hydro-distillation were analyzed by GC–MS. Fumigant toxicity testing indicated that both EOs and their main components were toxic to P. interpunctella adults. 1,8-Cineole exhibited the strongest activity, having an LC 50 of 0.86 mg/L air and being twice as active as camphor. Myrtenol was also strongly toxic to P. interpunctella adults (LC 50 0.99 mg/L air), while camphor, verbenol, borneol, and the two complete EOs exhibited lower toxicity. None of the EOs or main components exhibited significant toxicity against the larvae of P. interpunctella. This study provides evidence of the individual active substances accounting for the insecticidal activity of EOs from A. potaninii and A. fruticulosa. These EOs have potential as biological insecticides for controlling insect pest damage in stored crops.

polymer-permeating grain boundary method for highly efficient perovskite solar cell

이호준,( Li Fuqiang ),( Liu Fengwu ),( Li Ying ),( Zhang Anqi ),( Du Xiangrui ),( Semo Son ),( Sangwook Wu ),( Sung Heum Park ) 한국공업화학회 2022 한국공업화학회 연구논문 초록집 Vol.2022 No.-

AQUEOUS SYNTHESIS OF HIGH QUANTUM YIELD AND MONODISPERSED THIOL-CAPPED CdxZn1-xTe QUANTUM DOTS BASED ON ELECTROCHEMICAL METHOD

JUNWEI LI,YANG JIANG,YUGANG ZHANG,DI WU,ANQI LUO,ZHONGPING ZHANG 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2012 NANO Vol.7 No.2

A facile green approach has been developed to control the growth regime in the aqueous synthesis of CdxZn1-xTe semiconductor quantum dots (QDs) based on the electrochemistry method. The Low growth temperature and slow injection of Te precursor are used to prolong the diffusion controlled stage and thus suppress Ostwald ripening during the nanocrystal growth. The experimental results showed that a low concentration of Te precursor will definitely influence the growth procedure. The UV–visible absorption spectra, as well as transmission electron microscopy (TEM) shows the QDs a good monodispersity at any interval of the reaction procedure. The high-resolution transmission electron microscopy (HRTEM) images and powder X-ray diffraction (XRD) pattern suggested that the as-prepared QDs have high crystallinity and cubic structure. The size and composition-dependent fluorescent emission wavelength of the resultant CdxZn1-xTe alloyed QDs can be tuned from 460 to 610 nm, and their photoluminescent quantum yield can reach up to 70%. Especially in the wavelength range of 510–578 nm, the overall PL QYs of the as-prepared CdxZn1-xTe QDs were above 50%. The current work suggests that electrochemical method is an attractive approach to the synthesis of high-quality II-VI ternary alloyed semiconductor QDs at large-scale with a prominent cost advantage.