Blood-based near-infrared spectroscopy for the rapid low-cost detection of Alzheimer's disease

Author:

Paraskevaidi Maria1234ORCID,Morais Camilo L. M.1234ORCID,Freitas Daniel L. D.56789,Lima Kássio M. G.56789ORCID,Mann David M. A.1011121314,Allsop David151617184,Martin-Hirsch Pierre L.1920214,Martin Francis L.1234ORCID

Affiliation:

1. School of Pharmacy and Biomedical Sciences

2. University of Central Lancashire

3. Preston PR1 2HE

4. UK

5. Institute of Chemistry

6. Biological Chemistry and Chemometrics

7. Federal University of Rio Grande do Norte

8. Natal 59072-970

9. Brazil

10. Clinical Neuroscience Research Group

11. Division of Medicine and Neuroscience

12. University of Manchester

13. Greater Manchester Neurosciences Centre

14. Hope Hospital

15. Division of Biomedical and Life Sciences

16. Faculty of Health and Medicine

17. Lancaster University

18. Lancaster LA1 4YQ

19. Department of Obstetrics and Gynaecology

20. Central Lancashire Teaching Hospitals NHS Foundation Trust

21. Preston PR2 9HT

Abstract

Plasma samples deposited on low-E slides were analysed in transmission mode by using a FT-NIR spectrometer in order to detect Alzheimer's disease using computer-based methods.

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference46 articles.

1. Policy Brief for Head of Government, Alzheimer's Disease International ( https://www.alz.co.uk/research/GlobalImpactDementia2013.pdf )

2. P. Martin , W.Anders , G.Maëlenn , A.Gemma-Claire , W.Yu-Tzu and P.Matthew , World Alzheimer Report 2015: the global impact of dementia: an analysis of prevalence, incidence, cost and trends , Alzheimer's Disease International , 2015 . ( https://www.alz.co.uk/research/WorldAlzheimerReport2015.pdf )

3. Application of multivariate data-analysis techniques to biomedical diagnostics based on mid-infrared spectroscopy

4. Metabolic fingerprinting in disease diagnosis: biomedical applications of infrared and Raman spectroscopy

5. Near-infrared spectroscopy and imaging: Basic principles and pharmaceutical applications

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