ItemConference Paper

Flowing Blood Analysis & Separation: Integrating Raman Spectroscopy & Acoustophoresis in a Microfluidic System

Title
Flowing Blood Analysis & Separation: Integrating Raman Spectroscopy & Acoustophoresis in a Microfluidic System
Creator
Rawal, Shorya; Sinha, Shambhavi; Jayapriya, J.; Vinay, M.
Description
The proposed system combines Raman Spectroscopy and Acoustophoresis in a microfluidic environment to provide label-free analysis and separation of the cells present in the blood, including red blood cells, white blood cells and platelets. Based on the Raman Effect, Raman Spectroscopy captures crucial information about the structural and vibrational traits of the blood sample, exposing the molecules to monochromatic radiation and recording their Raman shift. This data is processed using LSTM recurrent neural networks, creating a deep-learning framework for species identification and quantification. The model can forecast the cell population in the blood sample and obtain information on the size and compressibility of individual cells due to the microfluidic nature of the data received by the Raman Spectroscope. Raman spectra allow estimation of the cell size and compressibility, guiding cell separation using acoustophoresis and allowing adjustments of the acoustic wave frequency based on the estimated size and compressibility of the cells. The targeted cells are directed toward a designated collection chamber within the microfluidic system by dynamically adjusting the acoustic wave frequency. Repeated application allows complete separation of the cells and pressure-driven delivery of the targeted cells to their respective collection reservoirs. 2025 IEEE.
Source
Proceedings of the 2025 3rd International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles, ICPEEV 2025;
Date
01-01-2025
Publisher
Institute of Electrical and Electronics Engineers Inc.
Subject
Acoustophoresis; Blood Cell Separation; Long Short-Term Memory Recurrent Neural Networks; Microfluidic Systems; Raman Spectroscopy
Coverage
Rawal S., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Sinha S., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Jayapriya J., Christ University, Department of Computer Science, Karnataka, Bangalore, India; Vinay M., Christ University, Department of Computer Science, Karnataka, Bangalore, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISBN: 979-833158606-5;
Format
online
Language
English
Type
Conference paper

Citation

Rawal, Shorya; Sinha, Shambhavi; Jayapriya, J.; Vinay, M., “Flowing Blood Analysis & Separation: Integrating Raman Spectroscopy & Acoustophoresis in a Microfluidic System,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/26090.

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