3D plasmonic coral nanoarchitecture paper for label-free human urine sensing and deep learning-assisted cancer screening.

Journal: Biosensors & bioelectronics
Published Date:

Abstract

Practical human biofluid sensing requires a sensor device to differentiate patients from the normal group with high sensitivity and specificity. Label-free molecular identification from human biofluids allows direct classification of abnormal samples, providing insights for disease diagnosis and finding of new biomarkers. Here, we introduce a label-free surface-enhanced Raman scattering sensor based on a three-dimensional plasmonic coral nanoarchitecture (3D-PCN), which has strong electromagnetic field enhancement through multiple hot spots. The 3D-PCN was synthesized on a paper substrate via direct one-step gold reduction, forming a coral-like nanoarchitecture with high absorption property for biofluids. This was fabricated as a urine test strip and then integrated with a handheld Raman system to develop an on-site urine diagnostic platform. The developed platform successfully classified the human prostate and pancreatic cancer urines in a label-free method supported by two types of deep learning networks, with high clinical sensitivity and specificity. Our technology has the potential to be utilized not only for urinary cancer diagnosis but also for various human biofluid sensing systems as a future point-of-care testing platform.

Authors

  • Vo Thi Nhat Linh
    Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, South Korea.
  • Min-Young Lee
    Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, South Korea.
  • Jungho Mun
    Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
  • Yeseul Kim
    School of Chemical Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.
  • Hongyoon Kim
    Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea.
  • In Woong Han
    Division of Hepatobiliary-Pancreatic Surgery, Department of Surgery, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, South Korea.
  • Sung-Gyu Park
    Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, South Korea.
  • Samjin Choi
    Department of Biomedical Engineering, College of Medicine, Kyung Hee University, Seoul, 02447, South Korea. Electronic address: medchoi@khu.ac.kr.
  • Dong-Ho Kim
    Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, South Korea.
  • Junsuk Rho
    Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, South Korea; POSCO-POSTECH-RIST Convergence Research Center for Flat Optics and Metaphotonics, Pohang, 37673, South Korea. Electronic address: jsrho@postech.ac.kr.
  • Ho Sang Jung
    Advanced Bio and Healthcare Materials Research Division, Korea Institute of Materials Science (KIMS), Changwon, Gyeongnam, 51508, South Korea.