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Comparation of Aroma-Active Compounds in Fresh Commercial Infant Formula and the Change during Ambient Storage

Journal of Future Foods 2025年

作者： Lirong Xu Ailing Tian Jiayi Su Meifan Pan Riqing Liu Peipei Gao Beilei Pang Zitong Liu Lijiao Fan Huaixia Zhang Yali Wang Lei Du Lili Zheng Yingchun Zhao Xiaoxiao Feng Jing Lv Department of Nutrition The Affiliated Hospital of Qingdao University Qingdao China Institute of Nutrition and Health Qingdao University 266071 Qingdao China Department of Gastrointestinal Surgery The Affiliated Hospital of Qingdao University Jiangsu Road 16# Qingdao Shandong 266400 People's Republic of China Department of Health Education and Management and the Ministry of Education Key Lab of Hazard Assessment and Control in Special Operational Environment School of Public Health Fourth Military Medical University Xi'an China. Department of surgery The Affiliated Hospital of Qingdao University Qingdao China National Engineering Research Centre for Intelligent Electrical Vehicle Power System (Qingdao) College of Mechanical & Electronic Engineering Qingdao University Qingdao 266071 China College of Chemical Engineering Qingdao University of Science and Technology Analysis and Testing Center Qingdao University of Science and Technology 266042 Qingdao China Department of Food Science & Technology School of Agriculture & Biology Shanghai Jiao Tong University Shanghai 200240 China

This study compared the aroma-active compounds in 14 brands of commercially infant formula and investigated their changes during ambient storage after opening for 2 months. A total of 29 major aroma-active compounds were detected in infant formula. From the PCA and heatmap analysis, a total of 14 brands of infant formula were classified into 3 groups, the second group contained JLB-Y, AY and FH-F, of which 2-furanmethanol and (E,E)-3,5-octadien-2-one were mainly compounds, the third group contained YL and JLB-L, the characteristic flavor compounds in this group were mainly hexanal, heptanal, etc. Aldehydes, as the main volatile substances, account for more than half of the total volatiles. Nearly half of the aldehydes showed more significant changes after storage, e.g. hexanal, octanal, (E)-2-octenal and 3-methylbutyraldehyde. The YL and YP-Q produced more saturated aldehydes after storage, the concentration of hexanal in YL-2m and YP-Q-2m was 2138.5 μg/kg and 2004.1μg/kg, respectively. The concentrations of heptanal, octanal, and nonanal also increased relatively significantly, which may lead to a distinct rancid flavor in YL and YP-Q. Besides, among the ketones, (E,E)-3,5-octadien-2-one showed the greatest change after storage, especially in JLB-L. According to sensory evaluation experiments, the milky flavor of infant formulas decreased and fatty, rancid, fishy and grassy flavors were found to have increased to different extents after storage. The current information gap on the concentration and evolution of volatile compounds in commercially available infant formula is filled by this study.

关键词： Infant formula Volatile compounds GC-MS Ambient Storage

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Occupational Exposure of Therapeutic Staff in Deep Transcranial Magnetic Stimulation

Occupational Exposure of Therapeutic Staff in Deep Transcran...

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General Assembly and Scientific Symposium, URSI

作者： Mai Lu Shoogo Ueno Key Lab. of Opto-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou P.R. China Department of Biomedical Engineering Graduate School of Medicine The University of Tokyo Tokyo Japan

This study presented dosimetry analysis for therapeutic staff exposed to magnetic pulses from double cone and Halo-circular assembly (HCA) coils during deep transcranial magnetic stimulation (dTMS) applications. The magnetic field and the induced electric field in realistic human body model exposure to dTMS coils have been obtained by employing the impedance method. The exposure level by both double cone and HCA coils were assessed according to the limits defined by the International Commission on Non-Ionizing Radiation Protection (ICNIRP) guidelines. The HCA coil generates higher exposure to therapeutic staff compared to that of double cone coil.

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Dosimetry of Typical electronic Article Surveillance Device with Multi-Guards

Dosimetry of Typical Electronic Article Surveillance Device ...

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第七届电磁辐射与健康国际研讨会

作者： Mai Lu Shoogo Ueno Mikael Persson Key Lab of Opt-Electronic Technology and Intelligent Control of Ministry of Education Lanzhou Jiaotong University Lanzhou 730070 P.R.China Department of Applied Quantum Physics Graduate School of Engineering Kyushu University Fukuoka 812-8581 Japan Department of Signals and Systems Chalmers University of Technology SE-412 96 Gothenburg Sweden

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Numerical study of nanochannel on a silicon-silver dimer gap for significantly enhanced fluorescence

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Results in Physics 2024年 62卷

作者： Wang, Qiang Chen, Zhihui Gu, Zhiyuan Li, Lingqiao Guo, Deyi Shi, Baopeng Wang, Yang Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan 030024 China Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Physics Taiyuan University of Technology Taiyuan 030024 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan 030006 China

The metal-dielectric dimer is an ideal structure for enhancing single-molecule fluorescence. When a single-molecule interacts with the metal-dielectric dimer, the metal-dielectric plasmonic system creates strong resonance, which amplifies the electric field by several orders of magnitude. One-dimensional photonic crystals (1D PCs) provide a photonic bandgap (PBG) and nearly perfect reflection for specific wavelengths. These phenomena contribute significantly to fluorescence enhancement. Herein, we propose the structure of 1D PCs with a silicon-silver dimer to achieve remarkable fluorescence enhancement under numerical study. Specifically, our design involves a 20 nm gapped silicon-silver dimer with a 50 nm nanochannel positioned above it. Through the optimization of structural parameters, our results demonstrate that quantum dots with a high intrinsic quantum yield, such as 100 %, are capable of achieving a fluorescence directional emission enhancement of up to three orders of magnitude compared to the bare structure, with an average enhancement factor reaching 407-fold. These findings stand for the unique sensitivity of the device, making it a promising choice for applications in biological nanoparticle detection, environmental monitoring, and other fields in the future. © 2024

关键词： Localized surface plasmon resonance (LSPR) Resonant cavity Silicon-silver dimer Ultra-high fluorescence enhancement

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Tunable Mid-Infrared Sensing Based on Graphene-Metal Hybrid Structure

SSRN

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SSRN 2024年

作者： Wang, Xiaowei Chen, Zhihui Feng, Guang Wang, Yang Li, Shan Yang, Yibiao Key Lab of Advanced Transducers and Intelligent Control System Ministry of Education and Shanxi Province College of Electronic Information and Optical Engineering Taiyuan University of Technology Taiyuan030024 China Taiyuan Institute of Technology Taiyuan030008 China Key Laboratory of Chemical Biology and Molecular Engineering of Ministry of Education Institute of Biotechnology Shanxi University Taiyuan030006 China

Improving the emission efficiency of molecules or quantum dots is one of the effective means to improve the sensitivity of sensing. Here we provide a graphene-metal hybrid structure to achieve sensitivity detection in mid-infrared. The graphene-metal hybrid structure well coupling with a dipole source in mid-infrared was constructed. And then the high quality resonance peak can be detected. For different molecular detection applications, the resonance window can be controlled by geometrical parameters of metal structure in the mid-infrared range. Meanwhile the resonance wavelengths can be adjusted with graphene's chemical potential which can be controled through a varying gate voltage, and the emission enhancement ratio was 501 times on average. The hybrid structures also show excellent results in different background refractive indices. The sensitivity of the hybrid structure as a refractive index sensor reaches 6233 nm/RIU. All of our analyses show that the hybrid structure can be used as a better mid-infrared sensor. © 2024, The Authors. All rights reserved.

关键词： Graphene

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Study of Specific Absorption Rate (SAR) Induced In Human Endocrine Glands For Using Mobile Phones

Study of Specific Absorption Rate (SAR) Induced In Human End...

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Asia-Pacific Symposium on Electromagnetic Compatibility

作者： Mai Lu Xiao-Yan Wu Key Lab. of Opt-Electronic Technology and Intelligent Control (Lanzhou Jiaotong University) Ministry of Education 730070 China Department of Endocrinology The First Hospital of Lanzhou University 730000 China

ISBN: (纸本)9781467383103

With the quick development and widespread use of mobile phones has led to arising concern about the possible adverse health effects of radio frequency electromagnetic field exposure. This study aims to present the dosimetry analysis of the electromagnetic fields induced by mobile phone on human endocrine glands. A finite-difference time-domain (FDTD) method was employed to calculate the specific absorption rate (SAR) in a realistic human head-neck model from exposure to a generic handset at 1750 MHz. The results show that the locally induced SAR in thyroid gland is much larger than that in both hypophysis and hypothalamus glands. The induced SAR in thyroid for the mobile in short message service (SMS) position is much larger than that in the voice position. However, in all of the examined cases, the SAR values in endocrine glands are all below the IEEE safety standard.

关键词： Dosimetry Endocrine glands Mobile phone Specific absorption rate

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ROAD CENTRAL CONTOUR EXTRACTION FROM HIGH RESOLUTION SATELLITE IMAGE USING TENSOR VOTING FRAMEWORK

ROAD CENTRAL CONTOUR EXTRACTION FROM HIGH RESOLUTION SATELLI...

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2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

作者： SHENG ZHENG JIAN LIU WEN-ZHONG SHI GUANG-XI ZHU Electronic & Information Engineering Dept. Huazhong University of Science and Technology Wuhan 430 State Education Commission Key Laboratory for Image Processing and Intelligent Control Inst.for Pat Advanced Research Center for Spatial Information Technology Department of Land Surveying and Geo-In Chinese Key lab of optic & electronics Huazhong University of Science and Technology Wuhan 430074

In this paper, a unique road contour extraction approach from high resolution satellite image is proposed, in which the road contour was extracted in two steps. Firstly, support vector machines (SVM) was employed merely to classify the image into two groups of categories: a road group and a non-road group. The identified road group images are the discrete and irregularly distributed sampled points, and they are an uncompleted data set for the road. Secondly, the road contour was extracted from the road group images using the tensor voting framework, since the tensor voting technique is superior to the traditional methods in extracting the geometrical structure from the uncompleted data set. The experimental results on the high resolution satellite image demonstrate that the proposed approach worked well with images comprised by both rural and urban area features.

关键词： Tensor voting framework Road central line extraction High-resolution satellite image

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A Mechanical Biosensor Based on Magnetic-Mediated Sensitization for 5-Ht Detection

SSRN

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SSRN 2024年

作者： Zhao, Dong Yao, Penglong Yan, Zhaosheng Jian, Aoqun Bai, Jinsuo Wang, Haoyu Guo, Xing Sang, Shengbo Zhou, Chuangang Dong, Xiushan Shanxi Key Laboratory of Micro Nano Sensors & Artificial Intelligence Perception College of Electronic Information And Optical Engineering Taiyuan University of Technology Taiyuan030024 China Key Lab of Advanced Transducers and Intelligent Control System the Ministry of Education Taiyuan University of Technology Taiyuan030024 China Taiyuan University of Technology China Shanxi Academy of Medical Sciences China

The real-time detection of neurotransmitters had attracted more attention due to the potential to provide vital information for pathology research, disease diagnosis, and clinical efficacy evaluation. Here, a magnetic-mediated biosensor was developed to improve sensitivity for detection of serotonin (5-HT). The PDMS membrane doped with magnetic particles serves as a conversion element, enhancing the deformation of the thin film caused by surface stress under the action of a magnetic field and amplifying the resistance response signal of the biosensor. The 5-HT detection associated with neurotransmitter diseases serve as a proof of concept revealing the magnetic sensitization. The detection limit of the 5-HT was decreased to 3.21 nM in the linear range of 5-500 nM, which was lower than that of the biosensor without magnetic field. The clinical 5-HT samples were also been accurately detected, indicating a positive application potential of the as-prepared magnetic-mediated biosensor. All these results reveal the high sensitivity and practicality of the as-prepared magnetic-mediated biosensor and provide a new method for neurotransmitter diseases diagnosis. © 2024, The Authors. All rights reserved.

关键词： Biosensors

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DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D LiDAR Mapping Framework for Dynamic Environment

DynaInsRemover: A Real-time Dynamic Instance-Aware Static 3D...

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IEEE International Conference on Robotics and Automation (ICRA)

作者： Huanfeng Zhao Meibao Yao Xueming Xiao Bo Zheng Intelligent Robotics Lab (IRL) School of Artificial Intelligence Jilin University Changchun China Engineering Research Center of Knowledge-Driven Human-Machine Intelligence Ministry of Education China CVIR Lab Changchun University of Science and Technology Changchun China Key Lab of Opto-Electronic Measurement and Optical Information Transmission Technology Shanghai Aerospace Control Technology Institute Shanghai China

ISBN: (数字)9798350384574

ISBN: (纸本)9798350384581

Dynamic objects diversify the distribution of point cloud in the map, degrading the performance of the robotic downstream tasks. To address this problem, we present a novel real-time dynamic instance-aware static mapping framework called DynaInsRemover, which exploits the geometric discrepancies between instances to efficiently remove dynamic objects and preserve more details of static map. It contains the Instance Occupancy Check module for initial dynamic instance proposal and the Instance Belief Update module for reverting false positives. We quantitatively evaluate our approach performance on the SemanticKITTI dataset and validate it in a real-world environment. Experimental evaluations show that our method achieves very promising results in dynamic environments. The implementation of our method is available as open source at: https://***/Zhaohuanfeng/***.

关键词： Point cloud compression Three-dimensional displays Laser radar Real-time systems Windows Proposals Object recognition

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LPL-SLAM: LiDAR SLAM with Plane and Line optimization for Structural Environment

LPL-SLAM: LiDAR SLAM with Plane and Line Optimization for St...

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On-Line Conference (ONCON), Industrial electronics Society Annual

作者： Huanfeng Zhao Meibao Yao Xueming Xiao Bo Zheng Tao Cao Tao Hu Intelligent Robotics Lab (IRL) School of Artificial Intelligence Jilin University Changchun China Engineering Research Center of Knowledge-Driven Human-Machine Intelligence Ministry of Education China CVIR Lab Changchun University of Science and Technology Changchun China Key Lab of Opto-Electronic Measurement and Optical Information Transmission Technology Shanghai Aerospace Control Technology Institute Shanghai China

In LiDAR SLAM, data association of sparse LiDAR scan and high computational complexity of point-to-model metrics limit real-time applications of joint optimization module like Bundle Adjustment in Visual SLAM, which leads to cumulative errors deteriorating performance. To address this drawback, in this paper, we propose LPL-SLAM with plane and line optimization for the structural environment. Since plane and line primitives are ubiquitous in man-made environments, we treat the primitives as landmarks to process scans. We introduce line and plane factors relying on line-to-line and plane-to-plane metrics to optimize keyframe poses, planes and lines. With the line and plane factors, our system avoids a large-scale optimization problem and yields accurate and consistent tracking poses. Experimental results demonstrate that LPL-SLAM outperforms the state-of-the-art algorithms and achieves real-time performance.

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