Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mechanical Flexibility Enables DNA Origami to Overcome Steric Confinement in Mucus.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

RNA with Azvudine Incorporated One Nucleotide Upstream of 3'-End Resists Cleavage by SARS-CoV-2 Proofreading Exonuclease.

Research square·2026
Same author

Light-switchable swarming of biohybrid microrobots.

Science advances·2026
Same author

SERS-Based Nano- and Microsystems Toward Biomedical Applications.

Small (Weinheim an der Bergstrasse, Germany)·2026
Same author

Method of oral delivery affects vitamin C-mediated alleviation of colitis in a mouse model.

Gut microbes reports·2026
Same author

Fungal Mycelium Films Engineered as Renewable Fibrous Materials for Drug Delivery.

ACS applied materials & interfaces·2026

Related Experiment Video

Updated: Mar 21, 2026

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
06:58

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics

Published on: March 13, 2026

29

Mathematical Model for Biomolecular Quantification Using Large-Area Surface-Enhanced Raman Spectroscopy Mapping.

Mirkó Palla1, Filippo G Bosco2, Jaeyoung Yang3

  • 1Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts 02115, United States; Department of Mechanical Engineering, Columbia University, New York, New York 10027, United States.

RSC Advances
|May 6, 2016
PubMed
Summary
This summary is machine-generated.

A new mathematical model accurately predicts Surface-Enhanced Raman Spectroscopy (SERS) signals for quantifying biomolecules. This SERS quantification method achieves detection limits approaching single molecules.

Keywords:
Raman mappingbiosensingsignal intensity distributionstatistical quantificationsurface-enhanced Raman spectroscopytheoretical modeling

More Related Videos

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
11:44

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

21.6K
Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

2.1K

Related Experiment Videos

Last Updated: Mar 21, 2026

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics
06:58

Exploring the Application of Surface-enhanced Raman Scattering-based Biosensing of Individual sEVs in Disease Diagnosis and Therapeutics

Published on: March 13, 2026

29
Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates
11:44

Surface Enhanced Raman Spectroscopy Detection of Biomolecules Using EBL Fabricated Nanostructured Substrates

Published on: March 20, 2015

21.6K
Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets
06:12

Multimodal Analytical Platform on a Multiplexed Surface Plasmon Resonance Imaging Chip for the Analysis of Extracellular Vesicle Subsets

Published on: March 17, 2023

2.1K

Area of Science:

  • Analytical Biochemistry
  • Nanotechnology
  • Spectroscopy

Background:

  • Surface-enhanced Raman spectroscopy (SERS) offers high sensitivity for biomolecular detection.
  • Nanostructured platforms are crucial for enhancing SERS signals.
  • Accurate quantification of biomolecules using SERS remains a challenge.

Purpose of the Study:

  • To develop a mathematical model for predicting SERS signal intensity distributions.
  • To enable precise biomolecular quantification on nanopillar substrates.
  • To validate the model's performance in low concentration regimes.

Main Methods:

  • Development of a theoretical framework for SERS signal prediction.
  • Utilizing empirically determined parameters for model calibration.
  • Experimental validation using receptor-functionalized nanopillar substrates.

Main Results:

  • The mathematical model accurately predicts SERS signal intensity distributions.
  • The model shows excellent agreement with experimental data in picomolar concentration ranges.
  • Demonstrated near single-molecule detection limits for TAMRA-labeled vasopressin.

Conclusions:

  • The developed model provides a robust tool for SERS-based biomolecular quantification.
  • The model is applicable to planar SERS substrates with approximated hotspot geometries.
  • This work advances the field of SERS quantification towards single-molecule sensitivity.