Applications of Fourier Transform-Infrared spectroscopy in microbial cell biology and environmental microbiology: advances, challenges, and future perspectives

Frontiers in Microbiology, Journal Year: 2023, Volume and Issue: 14

Published: Nov. 21, 2023

Microorganisms play pivotal roles in shaping ecosystems and biogeochemical cycles. Their intricate interactions involve complex biochemical processes. Fourier Transform-Infrared (FT-IR) spectroscopy is a powerful tool for monitoring these interactions, revealing microorganism composition responses to the environment. This review explores diversity of applications FT-IR within field microbiology, highlighting its specific utility microbial cell biology environmental microbiology. It emphasizes key such as identification, process monitoring, wall analysis, biofilm examination, stress response assessment, interaction investigation, showcasing crucial role advancing our understanding systems. Furthermore, we address challenges including sample complexity, data interpretation nuances, need integration with complementary techniques. Future prospects microbiology include wide range transformative advancements. These development comprehensive standardized libraries precise advanced analytical techniques, adoption high-throughput single-cell real-time using portable systems incorporation into ecological modeling predictive insights changes. innovative avenues promise significantly advance microorganisms their various ecosystems.

Language: Английский

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The role of salivary metabolomics in chronic periodontitis: bridging oral and systemic diseases

Metabolomics, Journal Year: 2025, Volume and Issue: 21(1)

Published: Feb. 7, 2025

Abstract Background Chronic periodontitis is a condition impacting approximately 50% of the world’s population. As chronic progresses, bacteria in oral cavity change resulting new microbial interactions which turn influence metabolite production. manifests with inflammation periodontal tissues, progressively developed due to bacterial infection and prolonged interaction host immune response. The bi-directional relationship between systemic diseases has been reported many previous studies. Traditional diagnostic methods for such as kidney (CKD) have limitations their invasiveness, requiring practised individuals sample collection, frequent blood long waiting times results. More rapid are required detect diseases, however, metabolic profiles first need be determined. Aim review In this review, we explored metabolomics studies that investigated salivary associated illnesses including CKD, cancer, Alzheimer’s disease, Parkinsons’s diabetes highlight most recent methodologies applied field. Key scientific concepts Of rapid, high throughput techniques profiling, Nuclear magnetic resonance (NMR) spectroscopy was technique, followed by liquid chromatography-mass spectrometry (LC-MS) gas (GC-MS). Furthermore, Raman used vibrational spectroscopic technique comparison saliva from patients healthy individuals, whilst Fourier Transform Infra-Red Spectroscopy (FT-IR) not utilised much A recommendation cultivating synthetic medium designed replicate conditions composition environment suggested facilitate identification metabolites. This approach instrumental assessing potential these metabolites biomarkers illnesses.

Language: Английский

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Diagnostic and monitoring applications using near infrared (NIR) spectroscopy in cancer and other diseases

Photodiagnosis and Photodynamic Therapy, Journal Year: 2023, Volume and Issue: 42, P. 103633 - 103633

Published: May 27, 2023

Early cancer diagnosis plays a critical role in improving treatment outcomes and increasing survival rates for certain cancers. NIR spectroscopy offers rapid cost-effective approach to evaluate the optical properties of tissues at microvessel level provides valuable molecular insights. The integration with advanced data-driven algorithms portable instruments has made it cutting-edge technology medical applications. is simple, non-invasive affordable analytical tool that complements expensive imaging modalities such as functional magnetic resonance imaging, positron emission tomography computed tomography. By examining tissue absorption, scattering, concentrations oxygen, water, lipids, can reveal inherent differences between tumor normal tissue, often revealing specific patterns help stratify disease. In addition, ability assess blood flow, oxygenation, oxygen metabolism key paradigm its application diagnosis. This review evaluates effectiveness detection characterization disease, particularly cancer, or without incorporation chemometrics machine learning algorithms. report highlights potential significantly improve discrimination benign malignant tumors accurately predict outcomes. more applications are studied large patient cohorts, consistent advances clinical implementation be expected, making adjunct therapy management. Ultimately, into diagnostics promises prognosis by providing new insights physiology.

Language: Английский

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Contemporary strategies and approaches for characterizing composition and enhancing biofilm penetration targeting bacterial extracellular polymeric substances

Journal of Pharmaceutical Analysis, Journal Year: 2023, Volume and Issue: 14(4), P. 100906 - 100906

Published: Nov. 29, 2023

Extracellular polymeric substances (EPS) constitutes crucial elements within bacterial biofilms, facilitating accelerated antimicrobial resistance and conferring defense against the host's immune cells. Developing precise effective antibiofilm approaches strategies, tailored to specific characteristics of EPS composition, can offer valuable insights for creation novel drugs. This, in turn, holds potential mitigate alarming issue drug resistance. Current analysis compositions relies heavily on colorimetric with a significant bias, which is likely due selection standard compound cross-interference various compounds. Considering pivotal role biofilm functionality, it imperative research delve deeper into intricate compositions, moving beyond current focus materials. This necessitates shift from heavy reliance analytic methods more comprehensive nuanced analytical approaches. In this study, we have provided summary existing utilized characterization compositions. Additionally, strategies aimed at targeting enhance penetration were explored, highlighting limitations associated methods. Furthermore, outlined challenges faced identifying additional components propose prospective plan address these challenges. review has guide future researchers search compounds capable suppressing EPS, thereby inhibiting formation. insight opens up new avenue exploration domain.

Language: Английский

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Optical Insights into Fibrotic Livers: Applications of Near-Infrared Spectroscopy and Machine Learning

Archives of Gastroenterology Research, Journal Year: 2024, Volume and Issue: 5(1), P. 1 - 10

Published: Jan. 1, 2024

Background: Liver fibrosis staging is critical for patient selection and management prior to transplantation, but biopsy invasive serum biomarkers lack accuracy. Near-infrared spectroscopy (NIRS) an emerging non-invasive technology that can detect liver via changes in tissue composition. Machine learning (ML) enables analysis of NIRS data diagnostic modeling. Purpose: To review the potential NIRS-ML approaches rapid, point-of-care detection, including technological principles, promising applications, current limitations, future directions. Main body abstract: leverages unique near-infrared absorbance patterns reflecting collagen accumulation, lipid reduction, other chemical alterations fibrotic liver. Handheld/hyperspectral systems acquire spectroscopic minutes. Multiple human studies correlate with histological scores. ML techniques like partial least squares regression, neural networks, support vector machines, random forests analyze spectra develop optimized algorithms. Initial models differentiate mild versus advanced stage cirrhosis high accuracy, outperforming traditional biomarkers. Recent advances include smartphone-based scanning, cloud computing, integrated user-friendly platforms. However, further large validation trials, standardization, assessment confounding factors, improved methodology, cost-effectiveness are required before widespread clinical implementation. Conclusion: With ongoing research address remaining barriers, hold great disruptive quantification fibrosis, optimizing transplant surgery planning management.

Language: Английский

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Different modeling approaches for inline biochemical monitoring over the VLP-making upstream stages using Raman spectroscopy

Spectrochimica Acta Part A Molecular and Biomolecular Spectroscopy, Journal Year: 2024, Volume and Issue: 320, P. 124638 - 124638

Published: June 10, 2024

Language: Английский

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Detection of melatonin and 5-HTP in dietary supplements based on multiple spectra

Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 28, 2025

Introduction Melatonin and 5-hydroxytryptophan (5-HTP), known for benefits in regulating sleep combating depression, respectively, are incorporated into dietary supplements. Rapid accurate identification of supplement types their contents remains a significant challenge ensuring food safety. Methods In this study, qualitative quantitative analysis melatonin 5-HTP was performed using Raman spectroscopy, powder X-ray diffraction (PXRD), terahertz time-domain spectroscopy (THz-TDS). Purity crystal structures the samples were investigated PXRD, establishing foundation (THz) simulations. Results discussion The results demonstrate that characteristic peaks range from 170 cm −1 to 1700 observed at 1356 1,304 , respectively. THz revealed each have five peaks, which distinguish these substances. peak 1.23 shows good linear fit with mass fraction, while has similar relationship 1.14 THz. Then, L-tryptophan, common contaminant production 5-HTP, successfully identified within mixture. Finally, it is demonstrated technology can effectively detect commercial This study establishes rapid, efficient, non-destructive approach regulation

Language: Английский

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Raman Spectroscopy in the Characterization of Food Carotenoids: Challenges and Prospects

Foods, Journal Year: 2025, Volume and Issue: 14(6), P. 953 - 953

Published: March 11, 2025

This paper presents an overview of the application Raman spectroscopy (RS) in characterizing carotenoids, which have recently gained attention due to new findings on their health-promoting effects and rising demand food, pharmaceutical, cosmetic industries. The backbone structure form a polyene chain makes carotenoids sensitive spectroscopy, mainly stretching vibrations conjugated double bonds. is increasingly used agricultural food sciences technologies as it non-preparative, environmentally friendly, fast efficient method for target analytes. RS qualitative quantitative analysis requires careful selection adjustment various instrument parameters (e.g., laser wavelength, power, spectral resolution, detector type, etc.) well performing complex chemometric modeling interpret spectra. Most studies covered this review focus more than analysis. most frequently wavelengths are 1064, 785, 532 nm, while 633 nm least used. Considering sensitivity complexity RS, present study focuses specific critical points by RS. main methodological experimental principles discussed best practices recommended, future prospects expectations wider especially quality assessment, emphasized. New techniques such Spatially Offset Spectroscopy (SORS), Coherent Anti-Stokes (CARS) Stimulated Scattering (SRS), artificial intelligence, also described context

Language: Английский

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Materials Engineering and Artificial Intelligence Innovations: A Comprehensive Review

Journal of Materials Engineering and Performance, Journal Year: 2025, Volume and Issue: unknown

Published: March 31, 2025

Language: Английский

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暗场光散射成像-表面增强拉曼散射联用技术及其分析检测应用

Laser & Optoelectronics Progress, Journal Year: 2025, Volume and Issue: 62(8), P. 0800003 - 0800003

Published: Jan. 1, 2025

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