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IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC)

作者： Jupeng Ding Chih Lin I Jintao Wang Hui Yang Lili Wang Key Laboratory of Signal Detection and Processing in Xinjiang Uygur Autonomous Region School of Information Science and Engineering Xinjiang University China China Mobile Research Institute Beijing China Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing China School of Information and Electrical Engineering Ludong University Yantai China

ISBN: (纸本)9781665405836

Optical wireless communication (OWC) has emerged as one promising candidate to mitigate the frequency spectrum crisis. Due to the broadcast nature of OWC channel, physical layer security (PLS) techniques have been considered and explored to improve the transmission confidentiality of OWC links. However, almost all current schemes focus on scenarios including multiple transmitters and fail to match the scenarios with limited transmitters, even single transmitter. For addressing this issue, in this work, the dynamic optical beam based PLS enhancement scheme is proposed. Unlike conventional Lambertian beam based technique paradigm, the above scheme tentatively utilize the commercially available non-Lambertian beam to configure the secure OWC links. Numerical results show that, compared with about 1.10 bps/Hz average secrecy capacity (SC) of the conventional configuration, up to 1.93 bps/Hz average SC gain could be provided by the proposed dynamic beam scheme. Moreover, this potential gain will be increased to about 2.39 bps/Hz when the diversity combing is available for the legitimate user receiver.

关键词： Wireless communication Integrated optics Measurement Conferences Optical fiber networks Physical layer security Optical receivers

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Fabrication of a Novel Electrochemical Immunosensor for the Sensitive detection of Carcinoembryonic Antigen Using a Multiple signal Attenuation Strategy

SSRN

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SSRN 2022年

作者： Wang, Xiao Liao, Xiaochen Ma, Chaoyun Zhao, Chulei Zhang, Mengmeng Mei, Lisha Chen, Siyu Qiao, Xiuwen Hong, Chenglin Zhang, Li Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 China

In this study, a novel "signal off" electrochemical immunosensor was developed for the detection of carcinoembryonic antigen (CEA). The immunosensor uses electroactive Prussian blue nanoparticles (PB NPs) as an immune platform. The synthesised CuO2@SiO2 nanocomposites decompose under acidic conditions to generate Cu2+ and H2O2. The generated Cu2+ can then replace high-spin iron (FeIII) in PB NPs, thus weakening the oxidation peak current of the PB NPs. The self-generated H2O2 can then react with the PB NPs due to their peroxidase-like properties to generate hydroxyl radicals (·OH), which convert 4-chloro-1 naphthol (4-CN) into non-conducting polymers that accumulate on the electrode surface. This further weakens the electrical signals of the PB NPs. This principle was explored via electrochemical characterisation, X-ray photoelectron spectroscopy (XPS), and other methods. Square wave voltammetry (SWV) analysis demonstrated that the electrochemical signal produced by the PB NPs decreased gradually with increasing CEA concentrations. Our findings thus demonstrate that the electrochemical sensor developed herein greatly reduces the electrical signals of the PB NPs, as demonstrated by the good linear relationship between the electrochemical signal of the PB NPs and the logarithm of the CEA concentration within an 0.01 pg/mL-80 ng/mL. Furthermore, the sensor had a detection limit of 0.0032 pg/mL. Collectively, our findings indicated that the fabricated immunosensor exhibited excellent selectivity, stability, and reproducibility, thus providing a novel and promising method for CEA detection. © 2022, The Authors. All rights reserved.

关键词： Silica

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Sensitive detection of carcinoembryonic antigen (CEA) by a sandwich-type electrochemical immunosensor using MOF-Ce@HA/Ag-HRP-Ab2 as a nanoprobe

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Nanotechnology 2020年第18期31卷 185605-185605页

作者： Li, Wenjun Ma, Chaoyun Song, Yiju Hong, Chenglin Qiao, Xiuwen Yin, Bincheng Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi832003 China Lab of Biosystem and Microanalysis State Key Laboratory of Bioreactor Engineering East China University of Science and Technology Shanghai200237 China

Sandwich-type electrochemical immunosensor was one of the main methods for detecting carcinoembryonic antigen (CEA). In this work, using Ce-MoF as the skeleton precursor, hyaluronic acid (HA) was coated on the surface of Ce-metal organic framework (Ce-MoF), which loaded with silver nanoparticles (Ag NPs) and horseradish peroxidase (HRP) to catalyze H2O2 and double amplified the current signal. Thus, a sensitive sandwich-type electrochemical immunosensor (Ce-MoF@ HA/Ag-HRP) was designed to detect carcinoembryonic antigen (CEA). The designed immunosensor used Au NPs to enhance the ability of attach more the first antibody (Ab1). This was due to Au NPs had good electrical conductivity and biocompatibility to accelerate electron transfer on the surface of the electrode. HA was riched in -COOH, -OH and had excellent biocompatibility, which can carry more Ag NPs to catalyze H2O2. Finally, the prepared sandwich-type electrochemical immunosensor had excellent biocompatibility and great catalytic performance. The immunosensor can be tested within 30 min and the logarithm of the current signal and CEA concentration showed a broad linear response range of 1 pg ml-1-80 ng ml-1, and the detection limit of CEA was 0.2 pg ml-1. More importantly, the proposed immunosensor had good reproducibility, selectivity, stability and without matrix effect. This confirmed that the proposed immunosensor had broad prospects in early clinical trials. © 2020 IOP Publishing Ltd.

关键词： Immunosensors

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Electrochemical sensor for a photoassisted heterogeneous Fenton self-oxidation signal amplification strategy

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Sensors and Actuators B: Chemical 2020年 324卷

Traditional electrochemical immunosensors have stagnated due to the lack of signal tags and single signal amplification strategies. In this work, we propose a new signal amplification strategy, a photoassisted heterogeneous Fenton self-oxidation reaction, for the detection of prostate-specific antigen (PSA). A prepared ferric tetroxide (Fe 3 O 4 )@Carbon(C)@Glucose oxidase (GOD) heterogeneous Fenton electrochemical sensor is first immersed in a solution containing glucose, persulfate (S 2 O 8 2− ) and tannic acid (TA), and then it is irradiated with ultraviolet light at 365 nm. Utilizing a coupling reaction, S 2 O 8 2- promotes the use of ultraviolet light by Fe 3 O 4 @C− [email protected] to generate more OH radicals; furthermore, the coordination of tannic acid to Fe 2+ promotes the oxidation of Fe 2+ in Fe 3 O 4 to Fe 3+ by OH. This achieves a signal amplification of 3 times the value of the original system. More importantly, the Fenton reagent undergoes a self-oxidation reaction without the need to add a signal tag. The proposed immunosensor uses a new signal amplification strategy that can be used for detecting tumor markers. Additionally, due to the self-oxidation of the Fenton reagent and the C coating, the problem of signal tag leakage is effectively solved. The electrochemical immunosensor detects different concentrations of PSA and exhibits excellent analytical performance, with a detection limit of 0.17 pg/mL and a detection range of 0.5 pg/mL to 40 ng/mL. The prepared immunosensor provides a feasible method for the detection of cancer tumor markers.

关键词： Heterogeneous Fenton Self-oxidation signal amplification Ultraviolet light Immunosensor

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detection Model Transfer of Apple Soluble Solids Content Based on Nir Spectroscopy and Deep Learning

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SSRN 2023年

作者： Guo, Zhiming Zhang, Yiyin Wang, Junyi Liu, Yuanyuan Jayan, Heera El-Seedi, Hesham R. Alzamora, Stella M. Gómez, Paula L. Zou, Xiaobo School of Food and Biological Engineering Jiangsu University Zhenjiang212013 China Agricultural Engineering Key Laboratory Department of Xinjiang Uygur Autonomous Region University of Education Alar843300 China Pharmacognosy Group Department of Pharmaceutical Biosciences BMC Uppsala University Box 591 UppsalaSE 751 24 Sweden University of Buenos Aires Ciudad Autónoma de Buenos AiresC1428EGA Argentina International Joint Research Laboratory of Intelligent Agriculture and Agri-products Processing Jiangsu University Jiangsu Education Department Zhenjiang212013 China

Transfer and updating of near infrared (NIR) spectroscopy model of fruit internal quality has become the focus of the industrial application. Internet of Things (IoT) and deep learning (DL) were proposed to perform soluble solids content (SSC) model transfer of apple by NIR. A model transfer platform including low-power handheld internal quality terminal and interacting cloud data system had been constructed. An autoencoder (AE) neural network model was developed for the spectral correction and model transfer. The average time for transmitting detection results to the detection terminal was 1.5 to 2.0 seconds, with a 100% effective transmission rate. After 5000 iterations of training, the correlation coefficient of different detection terminals improved by 55%, and the root mean square error was reduced by 94%. Selected samples from the second batch of apples detected by the No. 1 detection terminal were added to the original neural network for training. After adding 30 samples, the correlation coefficient increased by 13% and the root mean square error decreased by 90%. The results demonstrated that the AE neural network for spectral correction was effective in eliminating differences between devices and significantly reducing the impact of different detection terminals on the accuracy of NIR detection of SSC in apples. Therefore, the NIR detection model transfer technique could be practically exploited for fruit quality control assessment using different detection terminals. © 2023, The Authors. All rights reserved.

关键词： Near infrared spectroscopy

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A sandwich-type electrochemical immunosensor for detecting CEA based on CeO2-MoS2 absorbed Pb2

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Analytical biochemistry 2020年第0期592卷 113566页

作者： Wenjun Li Xiuwen Qiao Chenglin Hong Chaoyun Ma Yiju Song Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Electronic address: qxw_tea@***. Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Electronic address: hcl_tea@***.

A sandwich-type immunosensor for detecting the concentration of carcinoembryonic antigen (CEA) was prepared. In this work, gold nanoparticles (Au NPs) were used as platform to attach more primary antibody (Ab) due to excellent electrical conductivity and good biocompatibility. Molybdenum disulfide-Cerium oxide (CeO-MoS) nanohybrid was used as a carrier to absorb lead ions (Pb) and the second antibody (Ab). CeO-MoS-Pb-Ab was used as a nanoprobe to detect CEA antigen. Under optimal conditions, square wave voltammetry (SWV) successfully displayed the electrical signal of Pb. The designed electrochemical immunosensor has excellent analytical performance. In addition, the detection range was 0.001-80 ng/mL and the minimum detection limit was 0.3 pg/mL (S/N = 3), which had good selectivity and stability. Finally, the proposed immunosensor successfully detected the concentration of CEA in the serum of the sample, which provided a feasible method for CEA testing.

关键词： Adsorption Carcinoembryonic antigen (CEA) Cerium oxide (CeO(2)-MoS(2)) Molybdenum disulfide Pb(2+)

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A sandwich-type electrochemical immunosensor for ultrasensitive detection of multiple tumor markers using an electrical signal difference strategy

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Talanta 2020年 219卷 121322页

作者： Wenjun Li Yue Yang Chaoyun Ma Yiju Song Xiuwen Qiao Chenglin Hong Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Electronic address: qxw_tea@***. Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China. Electronic address: hcl_tea@***.

Traditional sandwich-type electrochemical immunosensors can only detect single tumor markers because signal interference occurs when detecting multiple tumor markers. In this work, an electrical signal difference strategy was proposed for the accurate detection of multiple tumor markers. We labeled PdAgCeO mesoporous nanospheres with a carcinoembryonic antigen (CEA) secondary antibody and MnO nanosheets labeled with an alpha-fetoprotein (AFP) secondary antibody. The two electrical signal tags were mixed and incubated on a prepared immunosensor to catalyze HO and generate an electrical signal I (i-t ampere curve). When 2.5 mM ascorbic acid solution (AA) was added to 20 mL of PBS solution at pH = 6.5 for 180 s, an electrical signal I was generated. I was the current response of the CEA antigen concentration, and the electrical signal difference ΔI = I-I was the current response of the AFP antigen. Thus, the immunosensor accurately detected the AFP and CEA tumor markers. This method was called the electrical signal difference strategy. The proposed single-use immunosensor detected CEA antigens in a range of 0.001 ng/mL-40 ng/mL, and the detection limit was 0.5 pg/mL; the detection range of the AFP antigen was 0.005 ng/mL-100 ng/mL, and the detection limit was 1 pg/mL. Therefore, this study provides new ideas and strategies for accurate clinical detection of multiple tumor markers.

关键词： AFP and CEA tumor Markers Ascorbic acid solution (AA) Electrical signal difference strategy MnO(2) nanosheets PdAgCeO(2) mesoporous nanospheres (PdAgCeO(2) MNS)

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Two–dimensional metal–organic framework nanosheets: An efficient two–electron oxygen reduction reaction electrocatalyst for boosting cathodic luminol electrochemiluminescence

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Chemical Engineering Journal 2023年 466卷

作者： Chulei Zhao Chaoyun Ma Fuping Zhang Wenjun Li Chenglin Hong Yu Qi School of Chemistry and Chemical Engineering/State Key Laboratory Incubation Base for Green Processing of Chemical Engineering Shihezi University Xinjiang Uygur Autonomous Region China Department of Chemistry Center for BioAnalytical Chemistry Key Laboratory of Bioorganic Phosphorus Chemistry & Chemical Biology Tsinghua University Beijing 100084 China

Exploration of electrocatalytic–luminol systems is still in the developmental stages because of the weak electrochemiluminescence (ECL) of cathodic luminol, and it is still a challenge to establish a conformational relationship between electrocatalytic materials and ECL performance. Herein, functionalized two–dimensional NiZn metal–organic framework (MOF) nanosheets were synthesized using controlled heat treatment and were successfully applied to the two-electron (2e − ) oxygen reduction reaction (ORR) to produce H 2 O 2 . Interestingly, it was found that both the intermediates and products of the ORR significantly affected the ECL emission of luminol. It is worth noting that extending NiM MOF (M = Fe, Co, and Zn) to 2e − ORR reaction and achieving efficient luminol emission is undoubtedly beneficial for constructing cathodic luminol systems. This work demonstrates the relationship between the electrocatalytic materials and luminol ECL performance, thereby, broadening the applications of ECL reactions. Finally, the proposed biosensor was successfully used for the sensitive detection of alpha-fetoprotein (AFP).

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detection of AFP by Electrochemical Immunosensor Based on Ag/Fe3O4/g-C3N4

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ChemistrySelect 2021年第14期6卷

作者： Mengmeng Zhang Kaihang Cao Lisha Mei Xiao Wang Xiaochen Liao Prof. Xiuwen Qiao Prof. Chenglin Hong Key Laboratory for Green Processing of Chemical Engineering of Xinjiang Bingtuan Engineering Research Center of Materials-Oriented Chemical Engineering of Xinjiang Production and Construction Corps Shihezi University Shihezi 832003 PR China Key Laboratory of Materials-Oriented Chemical Engineering of Xinjiang Uygur Autonomous Region Shihezi University Shihezi 832003 PR China School of Chemistry and Chemical Engineering Shihezi University Shihezi 832003 PR China

Herein, a novel electrochemical immunosensor was prepared to detect cancer alpha-fetoprotein (AFP). An iron oxide/graphite-phase carbon nitride/silver (Fe 3 O 4 −g-C 3 N 4 −Ag) composite was used as the carrier. Metal-free graphitic carbon nitrides (g-C 3 N 4 ) have been recently recognized as high-performance photocatalysts; however, their large-scale applications are limited because of their poor electronic properties and low dispersion. Fe 3 O 4 particles were incorporated in the composite to improve the conductivity and dispersibility of g-C 3 N 4 . Silver nanoparticles were prepared through UV irradiation and did not involve the use of reducing agents. A signal probe was prepared from Fe 3 O 4 −g-C 3 N 4 −Ag and acetylene black. Cyclic voltammetry was conducted to detect AFP. Under optimized conditions, the proposed immunosensor exhibited excellent analytical abilities. The dynamic response range of the AFP concentration was 0.0001–80 ng ⋅ mL −1 . The detection limit was relatively low at 0.078 pg ⋅ mL −1 (S/N=3). The immunosensor also exhibited high specificity and good reproducibility. The results showed that the proposed immunosensor can be successfully used to detect AFP in human serum samples.

关键词： Alpha-fetoprotein (AFP) Magnetic iron oxide (Fe3O4) Immunosensor Graphite-like carbon nitride (g-C3N4)

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Computer-Aided System for the detection of Multicategory Pulmonary Tuberculosis in Radiographs

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Journal of Healthcare Engineering 2020年第1期2020卷

作者： Yilin Xie Zhuoyue Wu Xin Han Hongyu Wang Yifan Wu Lei Cui Jun Feng Zhaohui Zhu Zhongyuanlong Chen Department of Information Science and Technology Northwest University Xi’an Shaanxi 710127 *** School of Computer Science and Technology Xi’an University of Posts and Telecommunications Xi’an Shaanxi 710121 *** Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Xi’an University of Posts and Telecommunications Xi’an Shaanxi 710121 *** State-Province Joint Engineering and Research Center of Advanced Networking and Intelligent Information Services School of Information Science and Technology Northwest University Xi’an 710127 Shaanxi *** Chest Hospital of Xinjiang Uyghur Autonomous Region of the PRC Urumqi Xinjiang Uygur Autonomous Region 830049 China

The early screening and diagnosis of tuberculosis plays an important role in the control and treatment of tuberculosis infections. In this paper, an integrated computer-aided system based on deep learning is proposed for the detection of multiple categories of tuberculosis lesions in chest radiographs. In this system, the fully convolutional neural network method is used to segment the lung area from the entire chest radiograph for pulmonary tuberculosis detection. Different from the previous analysis of the whole chest radiograph, we focus on the specific tuberculosis lesion areas for the analysis and propose the first multicategory tuberculosis lesion detection method. In it, a learning scalable pyramid structure is introduced into the Faster region-based Convolutional Network (Faster RCNN), which effectively improves the detection of small-area lesions, mines indistinguishable samples during the training process, and uses reinforcement learning to reduce the detection of false-positive lesions. To compare our method with the current tuberculosis detection system, we propose a classification rule for whole chest X-rays using a multicategory tuberculosis lesion detection model and achieve good performance on two public datasets (Montgomery: AUC = 0.977 and accuracy = 0.926; Shenzhen: AUC = 0.941 and accuracy = 0.902). Our proposed computer-aided system is superior to current systems that can be used to assist radiologists in diagnoses and public health providers in screening for tuberculosis in areas where tuberculosis is endemic.

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