Detection of Respiratory Disease Based on Surface-Enhanced Raman Scattering and Multivariate Analysis of Human Serum DOI Creative Commons
Yulia А. Khristoforova, Lyudmila A. Bratchenko, В. И. Купаев

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(6), P. 660 - 660

Published: March 8, 2025

Background/Objectives: Chronic obstructive pulmonary disease (COPD) is a significant public health concern, affecting millions of people worldwide. This study aims to use Surface-Enhanced Raman Scattering (SERS) technology detect the presence respiratory conditions, with focus on COPD. Methods: The samples human serum from 41 patients diseases (11 COPD, 20 bronchial asthma (BA), and 10 asthma–COPD overlap syndrome) 103 ischemic heart disease, complicated by chronic failure (CHF), were analyzed using SERS. A multivariate analysis SERS characteristics was performed Partial Least Squares Discriminant Analysis (PLS-DA) classify following groups: (1) all versus pathological referent group, which included CHF patients, (2) COPD those BA. Results: We found that combination at 638 1051 cm−1 could help identify diseases. PLS-DA model achieved mean predictive accuracy 0.92 for classifying group (0.85 sensitivity, 0.97 specificity). However, in case differentiating between BA, only 0.61. Conclusions: Therefore, metabolic proteomic composition shows differences compared but BA are less significant, suggesting similarity general pathogenetic mechanisms these two conditions.

Language: Английский

Comparative Study Into the Effect of Detector Noises and Sensitivity on the Serum SERS Analysis: Example of Non‐Communicable Diseases Discrimination DOI Open Access
Lyudmila A. Bratchenko, Yulia А. Khristoforova,

Irina A. Pimenova

et al.

Journal of Biophotonics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

ABSTRACT The aim of the study is to compare performance surface‐enhanced Raman spectroscopy (SERS) analysis serum using a non‐cooled detector ( EnSpectr R785 ) and high spectral resolution Renishaw in task discrimination between patients with chronic heart failure obstructive pulmonary disease. SERS‐based solution classification problem demonstrates an insignificant relationship disease accuracy quality (classification for high‐resolution setup 0.84 low‐cost 0.81). In data recorded on setup, most significant bands are 611, 675, 720, 804, 1187, 1495, 1847 cm −1 ; setup—721, 1051, 1665 . results have revealed equal capabilities setups; however, has more prospects identifying contribution pathologically associated analytes.

Language: Английский

Citations

1
Progress of Complex System Process Analysis Based on Modern Spectroscopy Combined With Chemometrics DOI Open Access
Maogang Li,

Qi Cai,

Tianlong Zhang

et al.

Journal of Chemometrics, Journal Year: 2025, Volume and Issue: 39(2)

Published: Feb. 1, 2025

ABSTRACT In recent years, the role of analytical chemistry has undergone a gradual transformation, evolving from mere participant to pivotal decision‐maker in process optimisation. This shift can be attributed advent sophisticated instrumentation, which ushered new era capabilities. article presents review developments application intelligent analysis techniques, including infrared (IR) spectroscopy, Raman and laser‐induced breakdown spectroscopy (LIBS), processing complex systems over past decade. The provides an introduction fundamental principles these techniques examines evolution their instrumentation accommodate online monitoring. spectral data system processes represents aspect attainment on‐site quality monitoring, optimisation control. Accordingly, comprehensive overview methodologies employed chemometrics, encompassing preprocessing, feature selection, modelling strategies for model performance. Furthermore, this summary three tools, namely LIBS, are widely simulation, optimisation, control across multiple disciplines, environment, energy, biology, food. objective is provide valuable reference point guidance further promotion utilisation instruments, with aim promoting in‐depth development greater number fields.

Language: Английский

Citations

0
AI-assisted SERS imaging method for label-free and rapid discrimination of clinical lymphoma DOI Creative Commons

Haiting Cao,

Xiaofeng Wu,

Huayi Shi

et al.

Journal of Nanobiotechnology, Journal Year: 2025, Volume and Issue: 23(1)

Published: April 16, 2025

Lymphoma is a malignant tumor of the immune system and its incidence increasing year after year, causing major threat to people's health. Conventional diagnosis lymphoma basically depends on histological images consuming long-time tedious manipulations (e.g., 7-15 days) large-field view > 1000 × μm2). Artificial intelligence has recently revolutionized cancer by training pathological image databases via deep learning. Current approaches, however, remain dependent analyzing wide-field detect distinct nuclear, cytologic, histomorphologic traits for diagnostic categorization, limiting their applicability minimally invasive lesion. Herein, we develop molecular imaging strategy diagnosis. By spreading tissue sections tightly surface-enhanced Raman scattering (SERS) chip, label-free DNA double strand breaks (DSBs) in 30 μm2 could be achieved ~ 15 min. To establish proof concept, datasets collected from clinical samples normal lymphatic tissues non-Hodgkin's (NHL) were well organized trained convolutional neural network model, finally achieving recognition rate 91.7 ± 2.1%. The that can achieve We anticipate these results will catalyze development series SERS-AI technologies diagnosing various diseases, including other types cancer. In this work, present reliable tool facilitate clinicians lymphoma.

Language: Английский

Citations

0
Detection of Respiratory Disease Based on Surface-Enhanced Raman Scattering and Multivariate Analysis of Human Serum DOI Creative Commons
Yulia А. Khristoforova, Lyudmila A. Bratchenko, В. И. Купаев

et al.

Diagnostics, Journal Year: 2025, Volume and Issue: 15(6), P. 660 - 660

Published: March 8, 2025

Background/Objectives: Chronic obstructive pulmonary disease (COPD) is a significant public health concern, affecting millions of people worldwide. This study aims to use Surface-Enhanced Raman Scattering (SERS) technology detect the presence respiratory conditions, with focus on COPD. Methods: The samples human serum from 41 patients diseases (11 COPD, 20 bronchial asthma (BA), and 10 asthma–COPD overlap syndrome) 103 ischemic heart disease, complicated by chronic failure (CHF), were analyzed using SERS. A multivariate analysis SERS characteristics was performed Partial Least Squares Discriminant Analysis (PLS-DA) classify following groups: (1) all versus pathological referent group, which included CHF patients, (2) COPD those BA. Results: We found that combination at 638 1051 cm−1 could help identify diseases. PLS-DA model achieved mean predictive accuracy 0.92 for classifying group (0.85 sensitivity, 0.97 specificity). However, in case differentiating between BA, only 0.61. Conclusions: Therefore, metabolic proteomic composition shows differences compared but BA are less significant, suggesting similarity general pathogenetic mechanisms these two conditions.

Language: Английский

Citations

0