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#raman

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The role of salivary metabolomics in chronic periodontitis: bridging oral and systemic diseases.
Metabolomics 21, 24 (2025).
doi.org/10.1007/s11306-024-022
#infrared #raman #metabolomics #openaccess

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

Happy Birthday to C. V. Raman.

Raman was born OTD on Nov 7, 1888 in Tiruchirapalli, British India.

Raman was awarded the 1930 Nobel Prize in Physics for his discovery of Raman scattering.

Raman scattering is the inelastic scattering of photons by matter, where the scattered photons have lower energy (frequency) than the incident ones due to energy absorption by molecules.

en.wikipedia.org/wiki/C._V._Ra

1/n

[#ExoMars : report and update] The postponement of the ExoMars mission has given IRAP scientists the opportunity to update some of the components of the #Raman laser #spectrometer.

The spectrometer will analyse #samples taken from beneath the surface of #Mars that have been ground and powdered beforehand. It will be able to identify the #organic compounds present and will contribute to the search for #microbial life.

Launch scheduled for October 2028! Stay tuned 😜

irap.omp.eu/en/2024/10/irap-de

[#ExoMars : report et mises à jour] Le report de la mission ExoMars a offert aux scientifiques de l'IRAP l'opportunité de mettre à jour certains composants du #spectromètre laser #Raman.

Il analysera des #échantillons prélevés sous la surface de #Mars qui auront été préalablement broyés et réduits en poudre. Il permettra d'identifier les composés #organiques présents et contribuera à la recherche de #vie microbienne.

Lancement prévu en octobre 2028 ! Stay tuned 😜

irap.omp.eu/2024/10/lirap-livr

☕ Here's a bit of technical content from me - today a deep dive on #baseline correction methods.

📈 Baseline correction is a preprocessing technique to remove background signal and isolate peaks in hashtag#spectroscopy data.

📝 In my recent post I discuss two methods:
1. Wavelet transform (WT) - Decomposes signal into components at different frequencies. Lowest frequency component represents baseline and can be removed.
2. Asymmetric least squares (ALS) - Fits a smooth baseline function, penalising positive deviations more than negative ones.

TL;DR: WT method is intuitive but can distort peaks. ALS produces better results.

🔎 Both methods are applied on a #Raman spectrum and an X-ray fluorescence (#XRF) spectrum. ALS gives a cleaner baseline correction and it's effective for removing broad, slowly varying background while preserving sharper spectral features.

#chemometrics #Python #MachineLearning #wavelets #regression

nirpyresearch.com/two-methods-

NIRPY Research · Two methods for baseline correction of spectral data • NIRPY ResearchWorked examples of two methods for baseline correction of spectra applied to Raman and XRF data.

`Triplex detection of a metallacarborane using the B−H stretch... together with a bis-alkyne & deuterated fatty acid can be achieved within the cell-silent region of the #Raman spectrum. When coupled to imaging in the high-wavenumber region of the cellular Raman #spectrum, 9 discrete regions of interest can be #spectrally unmixed from the #hyperspectral SRS dataset, demonstrating a new capability in the toolkit of multiplexed Raman #imaging of live #cells.`

onlinelibrary.wiley.com/doi/10

Would you like a few weeks of 1099 work under NDA to do CSS composition and layout for a #Django 4.x web UI incorporated in #embedded #raman #spectroscopy device? Task-driven, so not required to maintain 30+ hrs/week. I have mock UI pages and menuing, need to elegantly flow items together to fit a small res display, while also maintaining usability to accommodate restrictions like gloved hands. The UI is #docker -ized to permit remote work, incorporates #Tailwind CSS. Please inquire within.

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@adrian Ich hab da auch meinen "Stammtürken", bei dem ich mich seit Jahren alle 4 - 6 Wochen verschönern (räusper) lasse. Da gibt es ein Stempelkarten - Rabattsystem; mach 10 Haarschnitten gibt es einen gratis, welchen ich immer für notleidende oder bedürftige als Spende im Frisörsalon zurück lasse.