Dr. Na Wu | Biosensor Early Diagnosis | Best Research Article Award
Assistant Researcher at Fujian Medical University, China
Dr. Na Wu is a promising researcher in the field of bioanalytical chemistry, with a strong focus on molecular diagnostics and nucleic acid-based detection systems. Her recent publication in Talanta (2026), exploring high-affinity poly-cytosine DNA modulated metal-organic frameworks for hepatocellular carcinoma detection, exemplifies her innovative approach. She has published extensively in prestigious journals such as ACS Nano, Analytical Chemistry, and Small, often as a lead or corresponding author. Her research combines nanotechnology, machine learning, and DNA nanodevices to develop ultrasensitive, non-invasive diagnostic tools for early cancer detection. With international academic training and a leadership role in a major research project at Fujian Medical University, Dr. Wu demonstrates both technical excellence and research initiative. While increased emphasis on clinical translation and broader recognition metrics could enhance her profile further, her current contributions position her as a strong candidate for the Best Research Article Award, with impactful and forward-thinking scientific work.
Professional Profile
Education🎓
Dr. Na Wu has a strong academic foundation in chemistry, beginning with her Bachelor’s degree in Applied Chemistry from Zhoukou Normal University (ZKNU), China, in 2017. She continued her academic journey by pursuing a Doctorate in Chemistry at Northeastern University (NEU), Shenyang, where she worked under the guidance of Prof. Ting Yang. To enhance her research skills and international experience, Dr. Wu undertook a joint doctoral training program at the University of Waterloo (UW), Canada, from March 2022 to September 2023, under the mentorship of Prof. Juewen Liu, a renowned expert in nanotechnology and biosensing. This international exposure significantly enriched her expertise in advanced analytical techniques, DNA nanotechnology, and biomedical applications. Her academic training across these prestigious institutions has equipped her with a solid interdisciplinary background, blending theoretical knowledge with hands-on research experience. This educational trajectory has laid the groundwork for her innovative contributions to molecular diagnostics and bioanalytical chemistry.
Professional Experience📝
Dr. Na Wu has built a promising professional career grounded in both academic teaching and advanced research. She began her professional journey in March 2024 as a Lecturer at Fujian Medical University (FJMU), where she is actively involved in teaching and leading innovative research projects in molecular diagnostics. Concurrently, she is engaged in a post-doctoral position at Fuzhou University (FZU), set to run from March 2025 to March 2027, allowing her to further deepen her expertise in biomedical applications and collaborative scientific inquiry. Dr. Wu also leads a major research initiative funded by Fujian Medical University, focusing on high-level talent development in nucleic acid delivery systems and liquid biopsy technologies. Her dual roles highlight a balance of academic instruction and high-impact research leadership. Through these positions, she contributes significantly to the fields of analytical chemistry and biosensor development, demonstrating both scientific excellence and commitment to advancing healthcare-related research.
Research Interest🔎
Dr. Na Wu’s research interests lie at the intersection of analytical chemistry, molecular diagnostics, and nanobiotechnology, with a particular focus on the development of innovative nucleic acid-based detection systems. She is dedicated to designing advanced biosensors and DNA nanodevices for the early diagnosis of cancers and infectious diseases. Her work emphasizes the use of three-dimensional DNA machines, metal-organic frameworks, and machine learning-assisted platforms to enable ultrasensitive, specific, and non-invasive diagnostic tools. Dr. Wu is also deeply engaged in liquid biopsy research, exploring biomarkers such as circulating DNA and D-amino acids for clinical applications. Additionally, she investigates nucleic acid delivery systems that enhance the precision and efficiency of molecular diagnostics. Her interdisciplinary approach bridges chemistry, biology, and data science, aiming to translate laboratory innovations into real-world healthcare solutions. Through her research, Dr. Wu seeks to address pressing medical challenges by advancing the next generation of rapid and reliable diagnostic technologies.
Award and Honor🏆
Dr. Na Wu has earned recognition for her contributions to the field of analytical chemistry and molecular diagnostics through prestigious research roles and funding support. She was awarded the Fujian Medical University High-Level Talent Research Startup Funding Project, which she leads, reflecting her potential as an emerging leader in scientific innovation. This competitive grant supports her ongoing work in developing advanced nucleic acid-based biosensors for early disease detection. Her selection for a joint doctoral training program at the University of Waterloo, Canada, is another significant academic honor, highlighting her international research capabilities and collaboration with globally recognized experts. Additionally, her publications in high-impact journals such as Analytical Chemistry, ACS Nano, and Talanta further affirm the scientific community’s acknowledgment of her research excellence. These accomplishments demonstrate Dr. Wu’s commitment to advancing healthcare diagnostics and position her as a rising scholar with a growing influence in the fields of nanobiotechnology and molecular sensing.
Research Skill🔬
Dr. Na Wu possesses a diverse and advanced set of research skills that span analytical chemistry, molecular biology, and nanotechnology. She is highly proficient in designing and fabricating DNA-based biosensors, including three-dimensional DNA machines and nucleic acid delivery systems, for ultra-sensitive disease diagnostics. Her technical expertise includes synthesis and modification of nanomaterials, molecular recognition techniques, signal amplification strategies, and integration of machine learning algorithms for enhanced data analysis and diagnostic accuracy. Dr. Wu is skilled in employing liquid biopsy approaches to detect cancer biomarkers and has experience with techniques such as electrochemiluminescence, fluorescence spectroscopy, and metal-organic frameworks for biomolecular interactions. Her strong background in interdisciplinary research enables her to bridge gaps between chemistry, biology, and clinical applications. Additionally, she demonstrates competence in scientific writing, project management, and international collaboration, having worked in top-tier labs in both China and Canada. These research skills collectively underpin her ability to lead innovative and impactful scientific projects.
Conclusion💡
Dr. Na Wu is a strong and deserving candidate for the Best Research Article Award, particularly for her recent paper in Talanta (2026) on the detection of hepatocellular carcinoma biomarkers using poly-cytosine DNA and metal-organic frameworks. Her research demonstrates originality, scientific rigor, and relevance to modern health diagnostics. With a growing publication record and leadership in funded research, she represents the next generation of innovators in bioanalytical chemistry. Strengthening her clinical collaborations and visibility in global research communities will further elevate her candidacy in future evaluations.
Publications Top Noted✍
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Title: High-affinity poly-cytosine DNA modulated metal-organic framework-DNA interactions and their application in detection of hepatocellular carcinoma biomarker
Authors: Wu, N.; Chen, X.; Wang, Y.-T.; Jiang, Y.; Gao, Z.
Year: 2026
Citations: [Citation data not available yet – newly published] -
Title: Hydrogen peroxide regulated split-type electrochemiluminescence sensing platform for non-invasive detection of gastric cancer-associated D-amino acids
Authors: Li, J.; Lai, M.-C.; Zhong, Y.-M.; Chen, Y.-L.; Wu, N.; Chen, W.; Peng, H.-P.
Year: 2025
Citations: [Citation data pending] -
Title: An extracellular vesicle microRNA-initiated 3D DNAzyme motor for colorectal cancer diagnosis
Authors: Fan, Q.; Sun, X.-H.; Wu, N.; Wang, Y.-H.; Wang, J.-H.; Yang, T.
Year: 2024
Citations: [Check citation databases] -
Title: Multispectral 3D DNA Machine Combined with Multimodal Machine Learning for Noninvasive Precise Diagnosis of Bladder Cancer
Authors: Wu, N.; Wong, K.-Y.; Yu, X.; Zhao, J.-W.; Zhang, X.-Y.; Wang, J.-H.; Yang, T.
Year: 2024
Citations: [Available on Scopus/Google Scholar] -
Title: Demoralization, apathy, and depression affect cognition and motor symptoms in Parkinson’s disease
Authors: Zhu, X.; Gan, J.; Wu, N.; Zhang, Y.; Liu, Z.
Year: 2024
Citations: [Check Web of Science/Scopus] -
Title: Cytosine-Rich DNA Binding Insulin Stronger than Guanine-Rich Aptamers
Authors: Wu, N.; Zandieh, M.; Yang, T.; Liu, J.
Year: 2023
Citations: [Check Scopus] -
Title: DNA-functionalized LnNP-MNP assemblies for dual-mode sensing of alkaline phosphatase
Authors: Sun, X.-Y.; Wei, X.; Wu, N.; Liu, X.; Chen, M.-L.; Wang, J.-H.
Year: 2023
Citations: [Check Scopus] -
Title: Detection of HIV/HCV virus DNA with homogeneous DNA machine-triggered in situ formation of silver nanoclusters
Authors: Wu, N.; Zhang, H.-C.; Sun, X.-H.; Guo, F.-N.; Feng, L.-X.; Yang, T.; Wang, J.-H.
Year: 2022
Citations: [Scopus indexed] -
Title: Immunolabeling lanthanide nanoparticles for alpha-fetoprotein detection using ICP-MS
Authors: Sun, X.; Wei, X.; Liu, X.; Zhang, X.; Wu, N.; Liu, J.; Wang, Y.; Chen, M.; Wang, J.
Year: 2022
Citations: [Check databases] -
Title: Efficient Pathogen Capture and Sensing Promoted by Dynamic Deformable Nanointerfaces
Authors: Cao, Y.; Wu, N.; Li, H.-D.; Xue, J.-W.; Wang, R.; Yang, T.; Wang, J.-H.
Year: 2022
Citations: [Published in Small – high impact] -
Title: Ratiometric 3D DNA Machine Combined with Machine Learning Algorithm for Early Urinary Disease Screening
Authors: Wu, N.; Zhang, X.-Y.; Xia, J.; Li, X.; Yang, T.; Wang, J.-H.
Year: 2021
Citations: [Likely cited – check ACS Nano] -
Title: Three-Dimensional DNA Nanomachine Biosensor for Cancer-Related Gene Detection
Authors: Wu, N.; Wang, Y.-T.; Chang, M.-L.; Chen, X.-W.; Yang, T.; Wang, J.-H.
Year: 2020
Citations: [Check citation database