TY - GEN
T1 - Early lung cancer detection based on exosome SPR-Raman biosensors in cord blood samples
AU - Lin, Jou Chen
AU - Chen, Grace Shiahuy
AU - Huang, Chang Lun
AU - Ku, Tien Hsiung
AU - Chiu, Nan Fu
N1 - Publisher Copyright:
© 2025 SPIE. All rights reserved.
PY - 2025
Y1 - 2025
N2 - In this study, we proposed a novel SPR-Raman biosensing system and utilized it to detect the concentration of umbilical cord blood exosomes for the early detection of cancer. SPR technology detects molecular interactions, analyzing affinity and specificity, while Raman spectroscopy identifies chemical bond characteristics and functional groups in transmembrane proteins and exosome lipid layers. We successfully tested three transmembrane proteins in exosomes and analyzed their interactions, which will aid in the early detection of lung cancer. The experimental results showed that the limits of detection (LODs) of SPR technology for the three transmembrane proteins CD63, CD91, and CD151 were 2.4×105 particles/mL, 1.2×107 particles/mL, and 1.2×107 particles/mL, respectively. Among them, CD63 is a common biomarker of exosomes, while CD91 and CD151 are biomarkers of lung cancer. Therefore, detecting CD91 and CD151 in healthy exosomes requires a higher concentration of exosomes, suggesting that these cancer biomarkers are present at lower levels in healthy exosomes. Raman spectroscopy results revealed distinct peaks for transmembrane proteins, lipids, and nucleic acids in exosomes, confirming successful binding. This further validates the specificity of the SPR response, demonstrating the system's capability to accurately detect exosomal components. This system exhibits high accuracy and sensitivity, serving as a powerful tool for early diagnosis and prognosis. By integrating SPR and Raman spectroscopy, it enhances biomolecular detection, enabling precise analysis of molecular interactions and structural characteristics for improved disease detection and monitoring.
AB - In this study, we proposed a novel SPR-Raman biosensing system and utilized it to detect the concentration of umbilical cord blood exosomes for the early detection of cancer. SPR technology detects molecular interactions, analyzing affinity and specificity, while Raman spectroscopy identifies chemical bond characteristics and functional groups in transmembrane proteins and exosome lipid layers. We successfully tested three transmembrane proteins in exosomes and analyzed their interactions, which will aid in the early detection of lung cancer. The experimental results showed that the limits of detection (LODs) of SPR technology for the three transmembrane proteins CD63, CD91, and CD151 were 2.4×105 particles/mL, 1.2×107 particles/mL, and 1.2×107 particles/mL, respectively. Among them, CD63 is a common biomarker of exosomes, while CD91 and CD151 are biomarkers of lung cancer. Therefore, detecting CD91 and CD151 in healthy exosomes requires a higher concentration of exosomes, suggesting that these cancer biomarkers are present at lower levels in healthy exosomes. Raman spectroscopy results revealed distinct peaks for transmembrane proteins, lipids, and nucleic acids in exosomes, confirming successful binding. This further validates the specificity of the SPR response, demonstrating the system's capability to accurately detect exosomal components. This system exhibits high accuracy and sensitivity, serving as a powerful tool for early diagnosis and prognosis. By integrating SPR and Raman spectroscopy, it enhances biomolecular detection, enabling precise analysis of molecular interactions and structural characteristics for improved disease detection and monitoring.
KW - Exosome
KW - Lung cancer
KW - Raman spectroscopy
KW - Surface Plasmon Resonance (SPR)
UR - https://www.scopus.com/pages/publications/105007945754
UR - https://www.scopus.com/pages/publications/105007945754#tab=citedBy
U2 - 10.1117/12.3056531
DO - 10.1117/12.3056531
M3 - Conference contribution
AN - SCOPUS:105007945754
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Optical Sensors 2025
A2 - Baldini, Francesco
A2 - Homola, Jiri
A2 - Lieberman, Robert A.
PB - SPIE
T2 - Optical Sensors 2025
Y2 - 7 April 2025 through 10 April 2025
ER -