Laser tweezers Raman spectroscopy combined with machine learning for diagnosis of Alzheimer’s disease

Lin, Manman; analysis, Haisheng Ou Data; Zhang, Peng; Meng, Yanhong; Wang, Shenghao; Chang, Jing; Shen, Aiguo; Hu, Ji-Ming

doi:10.1016/j.saa.2022.121542

Cited by 10 publications

(6 citation statements)

References 28 publications

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“…This and other Raman machine-assisted approaches to evaluating AD may enable analyses of a range of biofluid and tissue sample types . Lin et al (2022) further designed a rapid, precise, non-invasive laser tweezers Raman spectroscopy (LTRS) approach to AD diagnosis. For this study, the authors captured platelets from different 3xTg-AD model rats at different stages of disease, collecting Raman signals at a high signal-to-noise ratio via LTRS without the need for contact, enabling successful sample classification based on a combination of partial least squares discriminant analysis (PLS-DA), SVA, and PCA-canonical discriminant function (CDA) approaches.…”

Section: Raman Spectroscopy In Admentioning

confidence: 99%

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Chen,

Qi,

et al. 2024

Front. Neurosci.

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Raman scattering is an inelastic light scattering that occurs in a manner reflective of the molecular vibrations of molecular structures and chemical conditions in a given sample of interest. Energy changes in the scattered light can be assessed to determine the vibration mode and associated molecular and chemical conditions within the sample, providing a molecular fingerprint suitable for sample identification and characterization. Raman spectroscopy represents a particularly promising approach to the molecular analysis of many diseases owing to clinical advantages including its instantaneous nature and associated high degree of stability, as well as its ability to yield signal outputs corresponding to a single molecule type without any interference from other molecules as a result of its narrow peak width. This technology is thus ideally suited to the simultaneous assessment of multiple analytes. Neurodegenerative diseases represent an increasingly significant threat to global public health owing to progressive population aging, imposing a severe physical and social burden on affected patients who tend to develop cognitive and/or motor deficits beginning between the ages of 50 and 70. Owing to a relatively limited understanding of the etiological basis for these diseases, treatments are lacking for the most common neurodegenerative diseases, which include Alzheimer’s disease, Parkinson’s disease, Huntington’s disease, and amyotrophic lateral sclerosis. The present review was formulated with the goal of briefly explaining the principle of Raman spectroscopy and discussing its potential applications in the diagnosis and evaluation of neurodegenerative diseases, with a particular emphasis on the research prospects of this novel technological platform.

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Section: Raman Spectroscopy In Admentioning

confidence: 99%

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Chen,

Qi,

et al. 2024

Front. Neurosci.

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“…Proteinic side chain structure 127 Tau 172 Amide I 127 Aβ 172 Intensity ratio of 1127 to 1001 cm −1 (protein, lipids to phenylalanine) 128 microRNA-200b-5p 172 Intensity ratio of 1654 to 1600 cm 193 Proteins from S100 superfamily 172 Ester of cholesterol 158 Amyloid species 158 Autosomal enzymes 158 Peroxiredoxin-6 172 Tryptophan 158 Micro-RNA 158 Amide I 193 Annexin-X5 172 Cytosine 158 Cytokines expression patterns 158 Lipids 193 Glutathione-stransferase-A1 NSE 136,141,144,147 Myelin basic protein (MBP) 136 NfL 199 NAA 134 Glial fibrillary acidic protein (GFAP) 134,136,147 MBP 134 NAA 134 Cleaved tau 134 T-tau 134 P-tau 134 Ubiquitin C-terminal hydrolase 134 Aβ 1-42 134 αII-Spectrin breakdown products 134 Gamma-enolase 134 spectra produced by different biomolecules, enabling the differentiation of closely related species and the detection of subtle structural variations. In contrast, techniques such as infrared spectroscopy may struggle with spectral overlap and lack the ability to distinguish between similar molecular species.…”

Section: Selectivity and Sensitivity Of Raman Spectroscopy With Other...mentioning

confidence: 99%

Unveiling brain disorders using liquid biopsy and Raman spectroscopy

Ranasinghe,

Wang,

Huang

2024

Nanoscale

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“…As a powerful analytical technique, surface-enhanced Raman scattering (SERS) has the superiorities of nondestructive, rapid detection, high sensitivity, and accurately reflects the fingerprint structure changes of the molecules on the surface, which can significantly improve anti-interference ability and achieve accurate detection of molecules in complex specimens. − However, some small molecules without a Raman scattering cross-section cannot be directly detected with the enhancement effect of substrates. Although the SERS spectra of some proteins can be directly obtained, the sensitivity was unsatisfactory due to the low Raman scattering cross-section.…”

Section: Introductionmentioning

confidence: 99%

Bifunctional Mo₂N Nanoparticles with Nanozyme and SERS Activity: A Versatile Platform for Sensitive Detection of Biomarkers in Serum Samples

Chen,

Zhang,

et al. 2024

Anal. Chem.

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The combined application of nanozymes and surface-enhanced Raman scattering (SERS) provides a promising approach to obtain label-free detection. However, developing nanomaterials with both highly efficient enzyme-like activity and excellent SERS sensitivity remains a huge challenge. Herein, we proposed one-step synthesis of Mo2N nanoparticles (NPs) as a “two-in-one” substrate, which exhibits both excellent peroxidase (POD)-like activity and high SERS activity. Its mimetic POD activity can catalyze the 3,3′,5,5′-tetramethylbenzidine (TMB) molecule to SERS-active oxidized TMB (ox-TMB) with high efficiency. Furthermore, combining experimental profiling with theory, the mechanism of POD-like activity and SERS enhancement of Mo2N NPs was explored in depth. Benefiting from the outstanding properties of Mo2N NPs, a versatile platform for indirect SERS detection of biomarkers was developed based on the Mo2N NPs-catalyzed product ox-TMB, which acts as the SERS signal readout. The feasibility of this platform was validated using glutathione (GSH) and target antigens alpha-fetoprotein antigen (AFP) and carcinoembryonic antigen (CEA) as representatives of small molecules with a hydroxyl radical (·OH) scavenging effect and proteins with a low Raman scattering cross-section, respectively. The limits of detection of GSH, AFP, and CEA were as low as 0.1 μmol/L, 89.1, and 74.6 pg/mL, respectively. Significantly, it also showed application in human serum samples with recoveries ranging from 96.0 to 101%. The acquired values based on this platform were compared with the standard electrochemiluminescence method, and the relative error was less than ±7.3. This work not only provides a strategy for developing highly active bifunctional nanomaterials but also manifests their widespread application for multiple biomarkers analysis.

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Laser tweezers Raman spectroscopy combined with machine learning for diagnosis of Alzheimer’s disease

Cited by 10 publications

References 28 publications

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Unveiling brain disorders using liquid biopsy and Raman spectroscopy

Bifunctional Mo₂N Nanoparticles with Nanozyme and SERS Activity: A Versatile Platform for Sensitive Detection of Biomarkers in Serum Samples

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Laser tweezers Raman spectroscopy combined with machine learning for diagnosis of Alzheimer’s disease

Cited by 10 publications

References 28 publications

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Applications of Raman spectroscopy in the diagnosis and monitoring of neurodegenerative diseases

Unveiling brain disorders using liquid biopsy and Raman spectroscopy

Bifunctional Mo2N Nanoparticles with Nanozyme and SERS Activity: A Versatile Platform for Sensitive Detection of Biomarkers in Serum Samples

Contact Info

Product

Resources

About

Bifunctional Mo₂N Nanoparticles with Nanozyme and SERS Activity: A Versatile Platform for Sensitive Detection of Biomarkers in Serum Samples