SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin

Sara Abbasi; Bastian Carnero Groba; Ilse Weets; Qing Liu; Francesco Ferranti; Prof. Dr. Ir. Heidi Ottevaere

doi:10.1117/12.2675806

SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin

Sara Abbasi, Bastian Carnero Groba, Ilse Weets, Qing Liu, Francesco Ferranti, Prof. Dr. Ir. Heidi Ottevaere

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

1 Citation (Scopus)

Abstract

Hemoglobinopathies are the most common genetic disorders caused by a mutation in the genes encoding for one of the globin chains and leading to structural (hemoglobin [Hb] variants) or quantitative defects (thalassemias) in hemoglobin. Early diagnosis and characterization of hemoglobinopathies are essential to avoid severe hematological consequences in the offspring of healthy carriers of a mutation. Despite being extensively studied, hemoglobinopathies continue to provide a diagnostic challenge. Sickle-cell hemoglobin (HbS) is the most common and clinically significant hemoglobin variant among all Hb variants. To overcome the challenge of diagnosing Hb variants, we propose the use of Surface-Enhanced Raman Spectroscopy (SERS). SERS is a powerful label-free tool for providing fingerprint structural information of analyses. It can rapidly generate the spectral signature of samples. This study investigates the structural differences between HbS and normal Hb using gold nanopillar SERS substrates with a leaning effect. The SERS spectra of Hb variants showed subtle spectral differences between HbS and normal Hb located in the valine (975cm-1) and glutamic acid (1547cm-1) band, reflecting the amino acid substitution in the HbS β-globin chain. We also automated the identification of HbS and normal Hb with principal component analysis (PCA) combined with support vector machine (SVM) and linear discriminant analysis (LDA) classifiers, leading to an accuracy of 98% and 96%, respectively. This study demonstrated that SERS can provide a fast, highly sensitive, noninvasive, and accurate detection module for the diagnosis of Sickle-cell disease and potentially other hemoglobinopathies.

Original language	English
Title of host publication	Enhanced Spectroscopies and Nanoimaging 2023
Editors	Prabhat Verma, Yung Doug Suh
Publisher	SPIE
Pages	1-5
Number of pages	5
Volume	12654
ISBN (Electronic)	9781510665224
DOIs	https://doi.org/10.1117/12.2675806
Publication status	Published - 2023
Event	Conference on Enhanced Spectroscopies and Nanoimaging - San Diego, United States Duration: 20 Aug 2023 → 23 Aug 2023

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	12654
ISSN (Print)	0277-786X
ISSN (Electronic)	1996-756X

Conference

Conference	Conference on Enhanced Spectroscopies and Nanoimaging
Country/Territory	United States
City	San Diego
Period	20/08/23 → 23/08/23

Bibliographical note

Funding Information:
The authors acknowledge funding by the European Union within the Horizon Europe Program, under the EIC Pathfinder Project “VortexLC”, Grant Agreement no. 101047029 and by Brussels Hoofdstedelijk Gewest - Innoviris, under the VortexDiaLC project (2022-RPF-2). This work was also supported in part by the Methusalem and Hercules foundations and the OZR of the Vrije Universiteit Brussel (VUB).

Publisher Copyright:
© 2023 SPIE.

Keywords

Raman spectroscopySurface-Enhanced Raman Spectroscopy (SERS)HemoglobinopathiesHemoglobin variantsSickle-cell diseaseMachine learningDiagnosis

Access to Document

10.1117/12.2675806

Cite this

Abbasi, S., Groba, B. C., Weets, I., Liu, Q., Ferranti, F., & Ottevaere, P. D. I. H. (2023). SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin. In P. Verma, & Y. D. Suh (Eds.), Enhanced Spectroscopies and Nanoimaging 2023 (Vol. 12654, pp. 1-5). [1265409] (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12654). SPIE. https://doi.org/10.1117/12.2675806

Abbasi, Sara ; Groba, Bastian Carnero ; Weets, Ilse ; Liu, Qing ; Ferranti, Francesco ; Ottevaere, Prof. Dr. Ir. Heidi. / SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin. Enhanced Spectroscopies and Nanoimaging 2023. editor / Prabhat Verma ; Yung Doug Suh. Vol. 12654 SPIE, 2023. pp. 1-5 (Proceedings of SPIE - The International Society for Optical Engineering).

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abstract = "Hemoglobinopathies are the most common genetic disorders caused by a mutation in the genes encoding for one of the globin chains and leading to structural (hemoglobin [Hb] variants) or quantitative defects (thalassemias) in hemoglobin. Early diagnosis and characterization of hemoglobinopathies are essential to avoid severe hematological consequences in the offspring of healthy carriers of a mutation. Despite being extensively studied, hemoglobinopathies continue to provide a diagnostic challenge. Sickle-cell hemoglobin (HbS) is the most common and clinically significant hemoglobin variant among all Hb variants. To overcome the challenge of diagnosing Hb variants, we propose the use of Surface-Enhanced Raman Spectroscopy (SERS). SERS is a powerful label-free tool for providing fingerprint structural information of analyses. It can rapidly generate the spectral signature of samples. This study investigates the structural differences between HbS and normal Hb using gold nanopillar SERS substrates with a leaning effect. The SERS spectra of Hb variants showed subtle spectral differences between HbS and normal Hb located in the valine (975cm-1) and glutamic acid (1547cm-1) band, reflecting the amino acid substitution in the HbS β-globin chain. We also automated the identification of HbS and normal Hb with principal component analysis (PCA) combined with support vector machine (SVM) and linear discriminant analysis (LDA) classifiers, leading to an accuracy of 98% and 96%, respectively. This study demonstrated that SERS can provide a fast, highly sensitive, noninvasive, and accurate detection module for the diagnosis of Sickle-cell disease and potentially other hemoglobinopathies.",

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note = "Funding Information: The authors acknowledge funding by the European Union within the Horizon Europe Program, under the EIC Pathfinder Project “VortexLC”, Grant Agreement no. 101047029 and by Brussels Hoofdstedelijk Gewest - Innoviris, under the VortexDiaLC project (2022-RPF-2). This work was also supported in part by the Methusalem and Hercules foundations and the OZR of the Vrije Universiteit Brussel (VUB). Publisher Copyright: {\textcopyright} 2023 SPIE.; Conference on Enhanced Spectroscopies and Nanoimaging ; Conference date: 20-08-2023 Through 23-08-2023",

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Abbasi, S, Groba, BC, Weets, I , Liu, Q , Ferranti, F & Ottevaere, PDIH 2023, SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin. in P Verma & YD Suh (eds), Enhanced Spectroscopies and Nanoimaging 2023. vol. 12654, 1265409, Proceedings of SPIE - The International Society for Optical Engineering, vol. 12654, SPIE, pp. 1-5, Conference on Enhanced Spectroscopies and Nanoimaging, San Diego, United States, 20/08/23. https://doi.org/10.1117/12.2675806

SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin. / Abbasi, Sara; Groba, Bastian Carnero; Weets, Ilse ; Liu, Qing ; Ferranti, Francesco ; Ottevaere, Prof. Dr. Ir. Heidi.

Enhanced Spectroscopies and Nanoimaging 2023. ed. / Prabhat Verma; Yung Doug Suh. Vol. 12654 SPIE, 2023. p. 1-5 1265409 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 12654).

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin

AU - Abbasi, Sara

AU - Groba, Bastian Carnero

AU - Weets, Ilse

AU - Liu, Qing

AU - Ferranti, Francesco

AU - Ottevaere, Prof. Dr. Ir. Heidi

N1 - Funding Information: The authors acknowledge funding by the European Union within the Horizon Europe Program, under the EIC Pathfinder Project “VortexLC”, Grant Agreement no. 101047029 and by Brussels Hoofdstedelijk Gewest - Innoviris, under the VortexDiaLC project (2022-RPF-2). This work was also supported in part by the Methusalem and Hercules foundations and the OZR of the Vrije Universiteit Brussel (VUB). Publisher Copyright: © 2023 SPIE.

PY - 2023

Y1 - 2023

N2 - Hemoglobinopathies are the most common genetic disorders caused by a mutation in the genes encoding for one of the globin chains and leading to structural (hemoglobin [Hb] variants) or quantitative defects (thalassemias) in hemoglobin. Early diagnosis and characterization of hemoglobinopathies are essential to avoid severe hematological consequences in the offspring of healthy carriers of a mutation. Despite being extensively studied, hemoglobinopathies continue to provide a diagnostic challenge. Sickle-cell hemoglobin (HbS) is the most common and clinically significant hemoglobin variant among all Hb variants. To overcome the challenge of diagnosing Hb variants, we propose the use of Surface-Enhanced Raman Spectroscopy (SERS). SERS is a powerful label-free tool for providing fingerprint structural information of analyses. It can rapidly generate the spectral signature of samples. This study investigates the structural differences between HbS and normal Hb using gold nanopillar SERS substrates with a leaning effect. The SERS spectra of Hb variants showed subtle spectral differences between HbS and normal Hb located in the valine (975cm-1) and glutamic acid (1547cm-1) band, reflecting the amino acid substitution in the HbS β-globin chain. We also automated the identification of HbS and normal Hb with principal component analysis (PCA) combined with support vector machine (SVM) and linear discriminant analysis (LDA) classifiers, leading to an accuracy of 98% and 96%, respectively. This study demonstrated that SERS can provide a fast, highly sensitive, noninvasive, and accurate detection module for the diagnosis of Sickle-cell disease and potentially other hemoglobinopathies.

AB - Hemoglobinopathies are the most common genetic disorders caused by a mutation in the genes encoding for one of the globin chains and leading to structural (hemoglobin [Hb] variants) or quantitative defects (thalassemias) in hemoglobin. Early diagnosis and characterization of hemoglobinopathies are essential to avoid severe hematological consequences in the offspring of healthy carriers of a mutation. Despite being extensively studied, hemoglobinopathies continue to provide a diagnostic challenge. Sickle-cell hemoglobin (HbS) is the most common and clinically significant hemoglobin variant among all Hb variants. To overcome the challenge of diagnosing Hb variants, we propose the use of Surface-Enhanced Raman Spectroscopy (SERS). SERS is a powerful label-free tool for providing fingerprint structural information of analyses. It can rapidly generate the spectral signature of samples. This study investigates the structural differences between HbS and normal Hb using gold nanopillar SERS substrates with a leaning effect. The SERS spectra of Hb variants showed subtle spectral differences between HbS and normal Hb located in the valine (975cm-1) and glutamic acid (1547cm-1) band, reflecting the amino acid substitution in the HbS β-globin chain. We also automated the identification of HbS and normal Hb with principal component analysis (PCA) combined with support vector machine (SVM) and linear discriminant analysis (LDA) classifiers, leading to an accuracy of 98% and 96%, respectively. This study demonstrated that SERS can provide a fast, highly sensitive, noninvasive, and accurate detection module for the diagnosis of Sickle-cell disease and potentially other hemoglobinopathies.

KW - Raman spectroscopySurface-Enhanced Raman Spectroscopy (SERS)HemoglobinopathiesHemoglobin variantsSickle-cell diseaseMachine learningDiagnosis

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M3 - Conference paper

VL - 12654

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 1

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BT - Enhanced Spectroscopies and Nanoimaging 2023

A2 - Verma, Prabhat

A2 - Suh, Yung Doug

PB - SPIE

T2 - Conference on Enhanced Spectroscopies and Nanoimaging

Y2 - 20 August 2023 through 23 August 2023

ER -

SERS biosensing of Sickle cell hemoglobin from Normal hemoglobin

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