Application of Raman and ATR-MIR Spectroscopy in Colorectal Cancer Diagnosis Combined with Chemometrics Techniques: A Review Colorectal Cancer (CC) is recognized as the third most prevalent cancer worldwide and constitutes a major cause of cancer-related fatalities among both genders. Current diagnostic approaches for CC...

Application of Raman and ATR-MIR Spectroscopy in Colorectal Cancer Diagnosis Combined with Chemometrics Techniques: A Review.
Critical Reviews in Analytical Chemistry, 1–22.
doi.org/10.1080/1040...

#infrared #atrir #coloncancer #cancer #review

Espectroscopia biofototérmica e óptica para o estudo de
Formulações farmacêuticas e materiais para odontologia.

Monique de Souza
www.pfi.uem.br/wp-content/u... in Portuguese

#infrared #photothermal #atrir #ramaneffect #openaccess

ATR-FTIR and multivariate analysis for differential diagnosis of dengue and leptospirosis: a feasibility study - Scientific Reports Scientific Reports - ATR-FTIR and multivariate analysis for differential diagnosis of dengue and leptospirosis: a feasibility study

ATR-FTIR and multivariate analysis for differential diagnosis of dengue and leptospirosis: a feasibility study.

Scientific Reports volume 15, Article number: 34092 (2025)
doi.org/10.1038/s415...
#infrared #atrir #dengue #openaccess

Calculation, simulation, and experimental analysis of distorted and enhanced spectra from attenuated total reflection (ATR) This doctoral thesis extensively investigates the principles, calculations, experiments, and simulations related to the distortion spectrum and surface-enhanced spectroscopy within the framework of at...

Calculation, simulation, and experimental analysis of distorted and enhanced spectra from attenuated total reflection (ATR).

Rui Cheng, PhD thesis
University of Bremen
doi.org/10.26092/eli...

#thesis #infrared #atrir #openaccess

Sage Journals: Discover world-class research Subscription and open access journals from Sage, the world's leading independent academic publisher.

Fourier Transform Infrared Spectroscopy (FT-IR) Diamond Attenuated Total Reflection (ATR) Measurements: The Good, the Bad, and the (Really) Ugly
Applied Spectroscopy Practica. 2025;3(2). doi.org/10.1177/2755...
#infrared #atrir #openaccess

Redirecting

Towards a global model for Diabetic kidney disease screening using ATR-FTIR.
Microchemical Journal, available online 4 June 2025, 114193
doi.org/10.1016/j.mi...
#infrared #atrir #diabetes #kidney #renal #openaccess

Real-Time In Vivo Human Skin Testing Using a Handheld Fourier Transform Infrared Spectrometer with a Three-Bounce Two-Pass Attenuated Total Reflection Interface - Samuel F. Williams, John Chittock, Ki... Attenuated total reflection (ATR) Fourier transform infrared spectroscopy (FT-IR) is used to characterize a vast array of materials at the molecular level in va...

Real-Time In Vivo Human Skin Testing Using a Handheld Fourier Transform Infrared Spectrometer with a Three-Bounce Two-Pass Attenuated Total Reflection Interface.

Applied Spectroscopy. 2024;79(3):404-412
doi.org/10.1177/0003...
#infrared #atrir #skin #openaccess

Safe-by-Design Strategies for Intranasal Drug Delivery Systems: Machine and Deep Learning Solutions to Differentiate Epithelial Tissues via Attenuated Total Reflection Fourier Transform Infrared Spectroscopy The development of nasal drug delivery systems requires advanced analytical techniques and tools that allow for distinguishing between the nose-to-brain epithelial tissues with better precision, where traditional bioanalytical methods frequently fail. In this study, attenuated total reflection Fourier transform infrared (ATR-FTIR) spectroscopy is coupled to machine learning (ML) and deep learning (DL) techniques to discriminate effectively between epithelial tissues. The primary goal of this work was to develop Safe-by-Design models for intranasal drug delivery using ex vivo pig tissues experiment, which were analyzed by way of ML modeling. We compiled an ATR-FTIR spectral data set from olfactory epithelium (OE), respiratory epithelium (RE), and tracheal tissues. The data set was used to train and test different ML algorithms. Accuracy, sensitivity, specificity, and F1 score metrics were used to evaluate optimized model performance and their abilities to identify specific spectral signatures relevant to each tissue type. The used feedforward neural network (FNN) has shown 0.99 accuracy, indicating that it had performed a discrimination with a high level of trueness estimates, without overfitting, unlike the built support vector machine (SVM) model. Important spectral features detailing the assignment and site of two-dimensional (2D) protein structures per tissue type were determined by the SHapley Additive exPlanations (SHAP) value analysis of the FNN model. Furthermore, a denoising autoencoder was built to improve spectral quality by reducing noise, as confirmed by higher Pearson correlation coefficients for denoised spectra. The combination of spectroscopic analysis with ML modeling offers a promising strategy called, Safe-by-Design, as a monitoring strategy for intranasal drug delivery systems, also for designing the analysis of tissue for diagnosis purposes.

Safe-by-Design Strategies for Intranasal Drug Delivery Systems: Machine and Deep Learning Solutions to Differentiate Epithelial Tissues via Attenuated Total Reflection Fourier Transform Infrared Spectroscopy.
ACS Pharmacol. Transl. Sci. 2025
doi.org/10.1021/acsp...
#infrared #atrir #openaccess

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Understanding Advanced Attenuated Total Reflection Correction: The Low Absorbance Assumption.
Applied Spectroscopy. 2025;79(2):298-305.
doi.org/10.1177/0003...
#infrared #atrir