Related Experiment Video
Updated: Sep 16, 2025

Surface-enhanced Resonance Raman Scattering Nanoprobe Ratiometry for Detecting Microscopic Ovarian Cancer via Folate Receptor Targeting
Published on: March 25, 2019
Plasmonic Mesoporous Gold-Based SERS Biosensor for Ovarian Cancer-Derived Extracellular Vesicles
Javeria Bashir1,2, Mostafa Kamal Masud2, Asep Sugih Nugraha2
1School of Mechanical and Mining Engineering, Faculty of Engineering, Architecture, and Information Technology (EAIT), The University of Queensland, Brisbane, Queensland, 4072, Australia.
A novel mesoporous gold-based Surface-Enhanced Raman Spectroscopy (SERS) platform enables ultrasensitive detection of placental alkaline phosphatase (PLAP)-positive extracellular vesicles (EVs). This diagnostic tool shows promise for early ovarian cancer detection and differentiating it from benign conditions.
Area of Science:
- Biomaterials Science
- Nanotechnology
- Analytical Chemistry
Background:
- Extracellular vesicles (EVs) are crucial biomarkers found in biofluids, reflecting physiological states and aiding in cancer detection.
- Placental Alkaline Phosphatase (PLAP) is a key biomarker for gynecological malignancies, particularly ovarian cancer (OC).
- Current EV detection methods face challenges in achieving high sensitivity and specificity.
Purpose of the Study:
- To develop a nanoengineered mesoporous gold (mAu)-based Surface-Enhanced Raman Spectroscopy (SERS) platform for rapid and ultrasensitive detection of PLAP-positive EVs.
- To evaluate the diagnostic performance of the mAu-SERS platform for ovarian cancer detection.
Main Methods:
- Fabrication of a mesoporous gold (mAu) nanostructure for enhanced SERS signal amplification.
- Development of an antibody-based assay for specific capture of PLAP-positive EVs.
- Utilizing SERS for ultrasensitive quantification of captured EVs.
Main Results:
- The mAu-SERS platform achieved ultrasensitive detection of as low as 100 EVs/mL with high reproducibility (RSD < 5%).
- Clinical validation demonstrated 90% sensitivity and 85% specificity in distinguishing OC patients from controls.
- The platform outperformed the conventional CA-125 biomarker in diagnostic accuracy.
Conclusions:
- The mAu-SERS platform offers a promising, minimally invasive diagnostic strategy for ovarian cancer.
- This technology demonstrates significant potential for early diagnosis and differential diagnosis of OC.
- The developed platform provides a sensitive and specific method for EV-based biomarker detection.
More Related Videos
10:02Quantitative SERS Detection of Uric Acid via Formation of Precise Plasmonic Nanojunctions within Aggregates of Gold Nanoparticles and Cucurbit[n]uril
Published on: October 3, 2020
06:19Optical Trapping of Plasmonic Nanoparticles for In Situ Surface-Enhanced Raman Spectroscopy Characterizations
Published on: June 23, 2022