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A Novel Solution to Enhance the Oxidative and Physical Properties of Cookies Using Maltodextrin-Based Nano-Sized Oils as a Fat Substitute

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ACS Omega 2025年第22期10卷 23111-23120页

作者： Raciye Meral Mehmet Mustafa Eki̇N Zafer Ceylan Aslıhan Alav Erol Kına Department of Food Engineering Faculty of Engineering Van Yüzüncü Yıl University Van 65080 Turkiye Özalp Vocational School Food Technology Program Van Yuzuncu Yıl University Van 65080 Turkiye Faculty of Science Department of Molecular Biology and Genetics Kutlubey Campus Bartin University Kutlubeyyazıcılar Village Bartin 74110 Turkiye Van Yüzüncü Yıl University Institute of Science Van 65080 Turkiye Computer Programming Program Özalp Vocational School Van Yüzüncü Yıl University Van 65100 Turkiye；Innovan Entrepreneurship Centre Van 65080 Turkiye

This study investigated the effects of maltodextrin-based nanoemulsions as fat substitutes in cookies, focusing on the oxidative stability and physical properties. Full-fat cookies (control, C) and 50% fat-reduced cookies with nanoemulsions (FC) were produced. The addition of nanoemulsions increased the cookie diameter from 46.3 mm (control) to 56.1 mm and reduced the thickness, resulting in a desirable texture. Initial hardness values (30.3 and 45.8 N) were lower in nanoemulsion samples and remained reduced over a 90 day storage period. Black cumin oil-loaded nanoemulsions provided the lowest peroxide values (1.7, 2.7, and 2.4 mequiv O2/kg), maintaining oxidative stability during storage. Final free fatty acid (FFA) values ranged from 0.23% to 0.44% after storage. Thiobarbituric acid (TBA) values indicated slower lipid oxidation, with values ranging from 1.47 to 2.51 mg MDA/kg on day 0 and increasing to a maximum of 4.13 mg MDA/kg by day 90 in fat-reduced cookies. Among the tested formulations, nanoemulsions enriched with black cumin oil demonstrated the highest effectiveness, yielding enhanced oxidative stability and improved quality characteristics. This study presents an innovative strategy by utilizing maltodextrin-based nanoemulsions containing naturally antioxidant-rich oils as fat replacers, offering a clean-label alternative to improve the oxidative resilience and physical quality of cookies.

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Direct Visualization of a Disorder Driven Electronic Smectic Phase in Dirac Nodal Line Semimetal GdSbTe

arXiv

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arXiv 2024年

作者： Venkatesan, Balaji Guan, Syu-You Chang, Jen-Te Chiu, Shiang-Bin Yang, Po-Yuan Su, Chih-Chuan Chang, Tay-Rong Raju, Kalaivanan Sankar, Raman Fongchaiya, Somboon Chu, Ming-Wen Chang, Chia-Seng Chang, Guoqing Lin, Hsin Del Maestro, Adrian Kao, Ying-Jer Chuang, Tien-Ming Department of Physics National Taiwan University Taipei10617 Taiwan Nano Science and Technology Program Taiwan International Graduate Program Academia Sinica National Taiwan University Taipei11529 Taiwan Institute of Physics Academia Sinica Taipei11529 Taiwan Department of Physics National Cheng-Kung University Tainan701 Taiwan Center for Condensed Matter Sciences National Taiwan University Taipei10617 Taiwan Molecular Science and Technology Program Taiwan International Graduate Program Academia Sinica Taipei11529 Taiwan Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 21 Nanyang Link 637371 Singapore Department of Physics and Astronomy University of Tennessee KnoxvilleTN37996 United States Institute for Advanced Materials & Manufacturing University of Tennessee KnoxvilleTN37996 United States Min H. Kao Department of Electrical Engineering and Computer Science University of Tennessee KnoxvilleTN37996 United States Center for Quantum Science and Technology National Taiwan University Taipei10607 Taiwan

Electronic liquid crystal (ELC) phases are spontaneous symmetry breaking states believed to arise from strong electron correlation in quantum materials such as cuprates and iron pnictides. Here, we report a direct observation of a smectic phase in a weakly correlated Dirac nodal line (DNL) semimetal GdSbxTe2-x. Incommensurate smectic charge modulation and intense local unidirectional nanostructure are visualized by using spectroscopic imaging - scanning tunneling microscopy. As topological materials with symmetry protected Dirac or Weyl fermions are mostly weakly correlated, the discovery of such an ELC phase are anomalous and raise questions on the origin of their emergence. Specifically, we demonstrate how chemical substitution generates these symmetry breaking phases before the system undergoes a charge density wave (CDW) - orthorhombic structural transition. Our results highlight the importance of impurities in realizing ELC phases and present a new material platform for exploring the interplay among quenched disorder, topology and electron correlation. Copyright © 2024, The Authors. All rights reserved.

关键词： Charge density waves

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Platelet RNA enables accurate detection of ovarian cancer:an intercontinental,biomarker identification study

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Protein & Cell 2023年第8期14卷 579-590页

作者： Yue Gao Chun-Jie Liu Hua-Yi Li Xiao-Ming Xiong Gui-Ling Li Sjors G.J.G.In't Veld Guang-Yao Cai Gui-Yan Xie Shao-Qing Zeng Yuan Wu Jian-Hua Chi Jia-Hao Liu Qiong Zhang Xiao-Fei Jiao Lin-Li Shi Wan-Rong Lu Wei-Guo Lv Xing-Sheng Yang Jurgen M.J.Piek Cornelis D de Kroon C.A.R.Lok Anna Supernat Sylwia Łapińska-Szumczyk Anna Łojkowska Anna J Żaczek Jacek Jassem Bakhos A.Tannous Nik Sol Edward Post Myron G.Best Bei-Hua Kong Xing Xie Ding Ma Thomas Wurdinger An-Yuan Guo Qing-Lei Gao Department of Gynecological Oncology Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China National Clinical Research Center for Obstetrics and Gynecology Cancer Biology Research Center(Key Laboratory of the Ministry of Education)Tongji HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430030China Center for Artificial Intelligence Biology Hubei Bioinformatics&Molecular Imaging Key LaboratoryKey Laboratory of Molecular Biophysics of the Ministry of EducationCollege of Life Science and TechnologyHuazhong University of Science and TechnologyWuhan 430074China Cancer Center Union HospitalTongji Medical CollegeHuazhong University of Science and TechnologyWuhan 430022China Department of Neurosurgery Amsterdam UMCVU University Medical CenterCancer Center AmsterdamDe Boelelaan 11171081 HV AmsterdamThe Netherlands Brain Tumor Center Amsterdam Amsterdam UMCVU University Medical CenterCancer Center AmsterdamDe Boelelaan 11171081 HV AmsterdamThe Netherlands Department of Gynecological Oncology Women's HospitalSchool of MedicineZhejiang UniversityHangzhou 310011China Gynecological Oncology Key Laboratory Qilu HospitalShandong UniversityJinan 250100China Department of Obstetrics and Gynecology Catharina HospitalMichelangelolaan 25623EJ EindhovenEindhovenThe Netherlands Department of Obstetrics and Gynecology Leiden University Medical CenterAlbinusdreef 22300 RCLeidenThe Netherlands Department of Gynecological Oncology Center of Gynecologic Oncology AmsterdamAntoni van LeeuwenhoekPlesmanlaan 1211066 CX AmsterdamThe Netherlands Laboratory of Translational Oncology Intercollegiate Faculty of BiotechnologyUniversity of Gdansk and Medical University of GdanskGdanskPoland Department of Gynecology Gynecological Oncology and Gynecological EndocrinologyMedical University of GdanskGdanskPoland Department of Oncology and Radiotherapy Medical University of GdanskGdanskPoland Department of Neurology Massachuse

Platelets are reprogrammed by cancer via a process called education,which favors cancer *** transcriptional profile of tumor-educated platelets(TEPs)is skewed and therefore practicable for cancer *** intercontinental,hospital-based,diagnostic study included 761 treatment-naive inpatients with histologically confirmed adnexal masses and 167 healthy controls from nine medical centers(China,n=3;Netherlands,n=5;Poland,n=1)between September 2016 and May *** main outcomes were the performance of TEPs and their combination with CA125 in two Chinese(VC1 and VC2)and the European(VC3)validation cohorts collectively and *** outcome was the value of TEPs in public pan-cancer platelet transcriptome *** AUCs for TEPs in the combined validation cohort,VC1,VC2,and VC3 were 0.918(95%CI 0.889-0.948),0.923(0.855-0.990),0.918(0.872-0.963),and 0.887(0.813-0.960),*** of TEPs and CA125 demonstrated an AUC of 0.922(0.889-0.955)in the combined validation cohort;0.955(0.912-0.997)in VC1;0.939(0.901-0.977)in VC2;0.917(0.824-1.000)in *** subgroup analysis,TEPs exhibited an AUC of o.858,0.859,and 0.920 to detect early-stage,borderline,non-epithelial diseases and 0.899 to discriminate ovarian cancer from *** had robustness,compatibility,and universality for *** diagnosis of ovarian cancer since it withstood validations in populations of different ethnicities,heterogeneous histoiogical subtypes,and early-stage ovarian ***,these observations warrant prospective validations in a larger population beforeclinicalutilities.

关键词： tumor-educated platelets ovarian cancer liquid biopsy preoperative diagnosis

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Plasmonic Nanolaser by Silver Nanowire Embedded in CsPbBr3 Quantum Dots

Plasmonic Nanolaser by Silver Nanowire Embedded in CsPbBr3 Q...

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JSAP-OSA Joint Symposia, JSAP 2021

作者： Xing, Di Lin, Cheng-Chieh Won, Phillip Xiang, Rong Chen, Tzu-Pei A. Kamal, A. Syazwan Lee, Yang-Chun Ho, Ya-Lun Maruyama, Shigeo Ko, Seung Hwan Chen, Chun-Wei Delaunay, Jean-Jacques School of Engineering The University of Tokyo Japan International Graduate Program of Molecular Science and Technology National Taiwan University Taiwan Department of Materials Science and Engineering National Taiwan University Taiwan Department of Mechanical Engineering Seoul National University Korea Republic of Center of Atomic Initiative for New Materials National Taiwan University Taiwan

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Biomedical data and AI

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science China Life sciences 2025年第5期68卷 1536-1540页

作者： Hao Xu Shibo Zhou Zefeng Zhu Vincenzo Vitelli Liangyi Chen Ziwei Dai Ning Yang Luhua Lai Shengyong Yang Sergey Ovchinnikov Zhuoran Qiao Sirui Liu Chen Song Jianfeng Pei Han Wen Jianfeng Feng Yaoyao Zhang Zhengwei Xie Yang-Yu Liu Zhiyuan Li Fulai Jin Hao Li Mohammad Lotfollahi Xuegong Zhang Ge Yang Shihua Zhang Ge Gao Pulin Li Qi Liu Jing-Dong Jackie Han Peking-Tsinghua Center for Life Sciences (CLS) Academy for Advanced Interdisciplinary StudiesPeking University Center for Quantitative Biology (CQB) Academy for Advanced Interdisciplinary StudiesPeking University Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program Academy for Advanced Interdisciplinary StudiesPeking University Department of Physics University of Chicago School of Life Sciences Southern University of Science and Technology Peking University Chengdu Academy for Advanced Interdisciplinary Biotechnologies College of Chemistry and Molecular Engineering Peking University Department of Biotherapy Cancer Center and State Key Laboratory of BiotherapyWest China HospitalSichuan University Department of Biology Massachusetts Institute of Technology Lambic Therapeutics Inc. Changping Laboratory Al for Science Institute Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence Fudan University Department of Obstetrics and Gynecology West China Second University HospitalSichuan University Peking University International Cancer Institute and Peking University-Yunnan Baiyao International Medical Institute and State Key Laboratory of Natural and Biomimetic Drugs Department of Molecular and Cellular PharmacologySchool of Pharmaceutical SciencesPeking University Health Science CenterPeking University Channing Division of Network Medicine Department of MedicineBrigham and Women's Hospital and Harvard Medical School Center for Artificial Intelligence and Modeling the Carl R.Woese Institute for Genomic BiologyUniversity of Illinois Urbana-Champaign Department of Genetics and Genome Sciences School of Medicine and Department of Computer and Data Sciences and Department of Population and Quantitative Health SciencesCase Western Reserve University Department of Biochemistry and Biophysics University of California Sanger Institute Department of Automation Tsinghua University State Key Laboratory of Multimodal Artificial Intelligence Systems I

The development of artificial intelligence(AI) and the mining of biomedical data complement each other. From the direct use of computer vision results to analyze medical images for disease screening, to now integrating biological knowledge into models and even accelerating the development of new AI based on biological discoveries, the boundaries of both are constantly expanding, and their connections are becoming closer.

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Recent advances in genome-scale engineering in Escherichia coli and their applications

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Engineering Microbiology 2024年第1期4卷 28-38页

作者： Hui Gao Zhichao Qiu Xuan Wang Xiyuan Zhang Yujia Zhang Junbiao Dai Zhuobin Liang Institute of Molecular Physiology Shenzhen Bay LaboratoryShenzhen 518132China CAS Key Laboratory of Quantitative Engineering Biology Guangdong Provincial Key Laboratory of Synthetic Genomics and Shenzhen Key Laboratory of Synthetic Genomics.Shenzhen Institute of Synthetic BiologyShenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen 518055China Regenerative Medicine Program Bellvitge Institute for Biomedical Research(IDIBELL)and Program for Clinical Translation of Regenerative Medicine in Catalonia(P-CMRC)L’Hospitalet de LlobregatBarcelona 08908Spain Faculty of Pharmacy and Food Science Barcelona UniversityBarcelona 08028Spain College of Life Sciences Northwest A&F UniversityShaanxi 712100China Shenzhen Branch Guangdong Laboratory for Lingnan Modern AgricultureKey Laboratory of Synthetic BiologyMinistry of Agriculture and Rural AffairsAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Owing to the rapid advancement of genome engineering technologies,the scale of genome engineering has expanded *** editing has progressed from one genomic alteration at a time that could only be employed in few species,to the simultaneous generation of multiple modifications across many genomic loci in numerous *** development and recent advances in multiplex automated genome engineering(MAGE)-associated technologies and clustered regularly interspaced short palindromic repeats and their associated protein(CRISPR-Cas)-based approaches,together with genome-scale synthesis technologies offer unprecedented opportunities for advancing genome-scale engineering in a broader *** approaches provide new tools to generate strains with desired phenotypes,understand the complexity of biological systems,and directly evolve a genome with novel ***,we review the recent major advances in genome-scale engineering tools developed for Escherichia coli,focusing on their applications in identifying essential genes,genome reduction,recoding,and beyond.

关键词： Genome-scale engineering E.coli Recombineering CRISPR-Cas

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Anti-inflammatory natural products modulate interleukins and their related signaling markers in inflammatory bowel disease:A systematic review

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Journal of Pharmaceutical Analysis 2023年第12期13卷 1408-1428页

作者： Gopalsamy Rajiv Gandhi Thiruchenduran Mohana Kumaraswamy Athesh Varghese Edwin Hillary Alan Bruno Silva Vasconcelos Mariana Nobre Farias de Franca Monalisa Martins Montalvão Stanislaus Antony Ceasar Gnanasekaran Jothi Gurunagarajan Sridharan Ricardo Queiroz Gurgel Baojun Xu Division of Phytochemistry and Drug Design Department of BiosciencesRajagiri College of Social Sciences(Autonomous)KalamaserryKochi683104KeralaIndia Department of Biochemistry Meenakshi Ammal Dental College and Hospital(MAHER)Maduravoyal600095ChennaiTamil NaduIndia Department of Biochemistry Srimad Andavan Arts and Science College(Autonomous)Affiliated to Bharathidasan UniversityTiruchirapalli620005Tamil NaduIndia Division of Plant Molecular Biology and Biotechnology Department of BiosciencesRajagiri College of Social Sciences(Autonomous)KalamaserryKochi683104KeralaIndia Laboratory of Biology and Immunology of Cancer and Leishmania Department of MorphologyFederal University of SergipeSao CristovaoSergipeBrazil Postgraduate Program in Health Sciences(PPGCS) Federal University of Sergipe(UFS)Campus Prof.Joao Cardoso NascimentoAracajuCEP 49060.108SergipeBrazil Programme of Food Science and Technology Department of Life SciencesBNU-HKBU United International CollegeZhuhaiGuangdong519087China

This review aims to identify in vivo studies investigating the potential of plant substances and their natural molecules in managing inflammatory bowel disease(IBD).Specifically,the objective is to examine the impact of these substances on interleukins and other key inflammatory signaling *** articles published up to December 2022 were identified through a search of the PubMed,Scopus,Web of science,and Embase *** search used keywords including“inflammatory bowel disease”,“medicinal plants”,“natural molecules”,“anti-inflammatory”,and“ulcerative colitis”,and identified 1,878 potentially relevant articles,of which 89 were included in this review after completion of the selection *** study provides preclinical data on natural products(NPs)that can potentially treat IBD,including ulcerative *** main actions of these NPs relate to their effects on nuclear factor kappa B(NF-κβ),the Janus kinase(JAK)/signal transducer and activator of transcription(STAT)signaling pathway,the regulation of T helper 17/regulatory T cells balance,and oxidative *** ability of these NPs to inhibit intestinal inflammation appears to be dependent on lowering levels of the pro-inflammatory cytokines tumor necrosis factor-alpha(TNF-α),interleukin(IL)-1β,and IL-17,via the Jun N-terminal kinase(JNK)1,NF-κβ-p65,and STAT3 *** addition,NPs were shown to reduce oxidative stress and the severity of ulcerative colitis,as well as increase the activity of antioxidant *** actions suggest that NPs represent a promising treatment for IBD,and potentially have greater efficacy and safety than current treatments.

关键词： Crohn's disease Inflammation Interleukins Oxidative stress Phytochemicals Ulcerative colitis

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Α γ-tubulin complex-dependent pathway suppresses ciliogenesis by promoting cilia disassembly

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Cell Reports 2022年第7期41卷 000-000页

作者： Shankar, Sahana Hsu, Zi-Ting Ezquerra, Artur Li, Chien-Chien Huang, Tzu-Lun Coyaud, Etienne Viais, Ricardo Grauffel, Cédric Raught, Brian Lim, Carmay Lüders, Jens Tsai, Su-Yi Hsia, Kuo-Chiang Molecular and Cell Biology Taiwan International Graduate Program Academia Sinica and National Defense Medical Center Taipei 11490 Taiwan Institute of Molecular Biology Academia Sinica Taipei 11529 Taiwan Department of Life Science National Taiwan University Taipei 10617 Taiwan Institute for Research in Biomedicine (IRB Barcelona) The Barcelona Institute of Science and Technology Barcelona 08028 Spain Princess Margaret Cancer Centre University Health Network 101 College Street Toronto M5G 1L7 ON Canada Department of Medical Biophysics University of Toronto Toronto M5G 1L7 ON Canada Institute of Biomedical Sciences Academia Sinica Taipei Taiwan Research Center for Developmental Biology and Regenerative Medicine National Taiwan University Taipei 10617 Taiwan Genome and Systems Biology Degree Program National Taiwan University and Academia Sinica Taipei 10617 Taiwan Institute of Biochemistry and Molecular Biology College of Life Sciences National Yang-Ming University Taipei 11221 Taiwan

The primary cilium, a microtubule-based sensory organelle, undergoes cycles of assembly and disassembly that govern the cell cycle progression critical to cell proliferation and differentiation. Although cilia assembly has been studied extensively, the molecular mechanisms underlying cilia disassembly are less well understood. Here, we uncover a γ-tubulin ring complex (γ-TuRC)-dependent pathway that promotes cilia disassembly and thereby prevents cilia formation. We further demonstrate that Kif2A, a kinesin motor that bears microtubule-depolymerizing activity, is recruited to the cilium basal body in a γ-TuRC-dependent manner. Our mechanistic analyses show that γ-TuRC specifically recruits Kif2A via the GCP2 subunit and its binding partner Mzt2. Hence, despite the long-standing view that γ-TuRC acts mainly as a microtubule template, we illustrate that its functional heterogeneity at the basal body facilitates both microtubule nucleation and Kif2A recruitment-mediated regulation of ciliogenesis, ensuring cell cycle progression. © 2022 The Author(s)

关键词： cell cycle ciliogenesis CP: molecular biology kinesin motor microtubule primary cilium γ-tubulin ring complex

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Decoding the Structure-Activity Relationship of the Dopamine D3 Receptor-Selective Ligands Using Machine and Deep Learning Approaches

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Journal of chemical information and modeling 2025年第11期65卷 2025 May 29页

作者： Sung Joon Won Benjoe Rey B Visayas Kuo Hao Lee Rey Y Capangpangan Lei Shi Computational Chemistry and Molecular Biophysics Section Molecular Targets and Medications Discovery Branch National Institute on Drug Abuse-Intramural Research Program National Institutes of Health Baltimore Maryland 21224 United States. Carle Illinois College of Medicine University of Illinois Urbana-Champaign Urbana Illinois 61801 United States. Research on Environment and Nanotechnology Laboratories Mindanao State University at Naawan Naawan 9023 Misamis Oriental Philippines. Department of Science and Technology Philippine Council for Industry Energy and Emerging Technology Research and Development Taguig City 1630-1649 Philippines. College of Marine and Allied Sciences Mindanao State University at Naawan Naawan 9023 Misamis Oriental Philippines.

Dysfunctions of the dopamine D2 and D3 receptors (D2 and D3) are implicated in neuropsychiatric conditions such as Parkinson's disease, schizophrenia, and substance use disorders (SUDs). Evidence indicates that D3-selective ligands can effectively modulate reward pathways, offering potential in treating SUDs with reduced side effects. However, the high homology between D2 and D3 presents challenges in developing subtype-selective ligands, crucial for elucidating receptor-specific functions and developing targeted therapeutics. Here, to facilitate selective ligand discovery, we leveraged ligand-based quantitative structure-activity relationship (QSAR) modeling approaches to predict binding affinity at D2 and D3, as well as ligand selectivity for D3. We first queried training data from the ChEMBL database and performed a systematic curation process to enhance the data quality. We then developed QSAR models using eXtreme Gradient Boosting, random forest, and deep neural network (DNN) algorithms, with DNN benefiting from a novel hyperparameter optimization protocol. All models exhibited strong predictive performance, with DNN-based models slightly but consistently outperforming the tree-based models. Integrating predictions from all algorithms into a consensus metric further improved the accuracy and robustness. Notably, our selectivity models outperformed the affinity models, likely due to noise cancellation achieved by subtracting the binding affinities of the two receptors. The Shapley Additive explanations analysis revealed key pharmacophoric and physicochemical features critical for receptor affinity and selectivity, while molecular docking of representative D3-selective compounds highlighted the structural basis of D3 selectivity. These findings provide a robust framework for modeling QSARs at D2 and D3, advancing the rational design of targeted therapeutics for these receptors.

关键词： Neurodegenerative diseases

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technology Roadmap for Flexible Sensors

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ACS NANO 2023年第6期17卷 5211-5295页

作者： Luo, Yifei Abidian, Mohammad Reza Ahn, Jong-Hyun Akinwande, Deji Andrews, Anne M. Antonietti, Markus Bao, Zhenan Berggren, Magnus Berkey, Christopher A. Bettinger, Christopher John Chen, Jun Chen, Peng Cheng, Wenlong Cheng, Xu Choi, Seon-Jin Chortos, Alex Dagdeviren, Canan Dauskardt, Reinhold H. Di, Chong-an Dickey, Michael D. Duan, Xiangfeng Facchetti, Antonio Fan, Zhiyong Fang, Yin Feng, Jianyou Feng, Xue Gao, Huajian Gao, Wei Gong, Xiwen Guo, Chuan Fei Guo, Xiaojun Hartel, Martin C. He, Zihan Ho, John S. Hu, Youfan Huang, Qiyao Huang, Yu Huo, Fengwei Hussain, Muhammad M. Javey, Ali Jeong, Unyong Jiang, Chen Jiang, Xingyu Kang, Jiheong Karnaushenko, Daniil Khademhosseini, Ali Kim, Dae-Hyeong Kim, Il-Doo Kireev, Dmitry Kong, Lingxuan Lee, Chengkuo Lee, Nae-Eung Lee, Pooi See Lee, Tae-Woo Li, Fengyu Li, Jinxing Liang, Cuiyuan Lim, Chwee Teck Lin, Yuanjing Lipomi, Darren J. Liu, Jia Liu, Kai Liu, Nan Liu, Ren Liu, Yuxin Liu, Yuxuan Liu, Zhiyuan Liu, Zhuangjian Loh, Xian Jun Lu, Nanshu Lv, Zhisheng Magdassi, Shlomo Malliaras, George G. Matsuhisa, Naoji Nathan, Arokia Niu, Simiao Pan, Jieming Pang, Changhyun Pei, Qibing Peng, Huisheng Qi, Dianpeng Ren, Huaying Rogers, John A. Rowe, Aaron Schmidt, Oliver G. Sekitani, Tsuyoshi Seo, Dae-Gyo Shen, Guozhen Sheng, Xing Shi, Qiongfeng Someya, Takao Song, Yanlin Stavrinidou, Eleni Su, Meng Sun, Xuemei Takei, Kuniharu Tao, Xiao-Ming Tee, Benjamin C. K. Thean, Aaron Voon-Yew Trung, Tran Quang Wan, Changjin Wang, Huiliang Wang, Joseph Wang, Ming Wang, Sihong Wang, Ting Wang, Zhong Lin Weiss, Paul S. Wen, Hanqi Xu, Sheng Xu, Tailin Yan, Hongping Yan, Xuzhou Yang, Hui Yang, Le Yang, Shuaijian Yin, Lan Yu, Cunjiang Yu, Guihua Yu, Jing Yu, Shu-Hong Yu, Xinge Zamburg, Evgeny Zhang, Haixia Zhang, Xiangyu Zhang, Xiaosheng Zhang, Xueji Zhang, Yihui Zhang, Yu Zhao, Siyuan Zhao, Xuanhe Zheng, Yuanjin Zheng, Yu-Qing Zheng, Zijian Zhou, Tao Zhu, Bowen Zhu, Ming Zhu, Rong Zhu, Yangzhi Zhu, Yong Zou, Guijin Chen, Xiaodong 08-03 Innovis Singapore 138634 Republic of Singapore Innovative Centre for Flexible Devices (iFLEX) School of Materials Science and Engineering Nanyang Technological University Singapore 639798 Singapore Department of Biomedical Engineering University of Houston Houston Texas 77024 United States School of Electrical and Electronic Engineering Yonsei University Seoul 03722 Republic of Korea Department of Electrical and Computer Engineering The University of Texas at Austin Austin Texas 78712 United States Microelectronics Research Center The University of Texas at Austin Austin Texas 78758 United States Department of Chemistry and Biochemistry California NanoSystems Institute and Department of Psychiatry and Biobehavioral Sciences Semel Institute for Neuroscience and Human Behavior and Hatos Center for Neuropharmacology University of California Los Angeles Los Angeles California 90095 United States Colloid Chemistry Department Max Planck Institute of Colloids and Interfaces 14476 Potsdam Germany Department of Chemical Engineering Stanford University Stanford California 94305 United States Laboratory of Organic Electronics Department of Science and Technology Campus Norrköping Linköping University 83 Linköping Sweden Wallenberg Initiative Materials Science for Sustainability (WISE) and Wallenberg Wood Science Center (WWSC) SE-100 44 Stockholm Sweden Department of Materials Science and Engineering Stanford University Stanford California 94301 United States Department of Biomedical Engineering and Department of Materials Science and Engineering Carnegie Mellon University Pittsburgh Pennsylvania 15213 United States Department of Bioengineering University of California Los Angeles Los Angeles California 90095 United States School of Chemistry Chemical Engineering and Biotechnology Nanyang Technological University Singapore 637457 Singapore Nanobionics Group Department of Chemical and Biological Engineering Monash University Clayton Australia 3800 Monash

Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze continued...challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative

关键词： soft materials mechanics engineering flexible electronics conformable sensors bioelectronics human-machine interfaces body area sensor networks technology translation sustainable electronics

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