AIMC Topic: Spectroscopy, Fourier Transform Infrared

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A new strategy for skeletal muscle wound age estimation using machine learning and ATR-FTIR spectroscopy: Eliminating early postmortem interference.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Accurate wound age estimation is of great significance in forensic practice. However, postmortem changes often obscure or even obliterate the biological information of skeletal muscle injuries, making it extremely challenging to accurately estimate t...

Machine learning-assisted spectroscopic methods for detecting adulteration in Barrantes wine from Folla Redonda grapes.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
The present study explores the application of advanced machine learning algorithms combined with vis-NIRS and FTIR spectroscopy to detect and quantify adulteration in Barrantes wine, produced from the Folla Redonda grape, a variety exclusive to the G...

Applications of benchtop and portable spectroscopy techniques for food quality monitoring.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Food safety and quality have become major worldwide issues. Because of their quickness, effectiveness, and non-destructive nature, spectroscopy methods are essential for guaranteeing the safety and quality of food items. These techniques include Four...

Predicting the composition of multiple soybean varieties from whole and ground seeds using Fourier transform near-infrared spectroscopy (FT-NIRS) and machine learning.

Food chemistry
Soybean is being increasingly included in human diets, highlighting the importance of determining its composition. Although Fourier-Transform Near-Infrared Spectroscopy (FT-NIRS) has become a promising technology, currently used models remain limited...

Developing transferable and universal IR biomarkers for intraoperative colorectal cancer diagnosis via FTIR spectroscopy.

Scientific reports
Histological staining has long been the gold standard for cancer detection, but it is limited by subjectivity and delayed results. Fourier Transform Infrared Spectroscopy (FTIR) has emerged as a promising technique, offering the advantages of objecti...

Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants.

Scientific reports
Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of ...

Uncorking white wine liking: Combining analytical chemistry and chemometrics with crowd-sourced data to predict quality ratings.

Food chemistry
Quality perception is a crucial aspect of wine research, particularly regarding consumer acceptance and quality impression. These assessments are challenging because consumers frequently incorporate extrinsic cues when evaluating hedonic quality. A u...

Detection of degraded high-density polyethylene via near-infrared hyperspectral imaging.

Waste management (New York, N.Y.)
The quality of recycled plastics is crucial to make them competitive in more demanding applications and to extend their range of applications. However, there are many influencing factors that can reduce the quality and limit the use of recyclates. On...

Predicting reticuloruminal pH and subacute ruminal acidosis of individual cows using machine learning and Fourier-transform infrared spectroscopy milk analysis.

Journal of dairy science
Low reticuloruminal pH (rpH) for a prolonged period could lead to SARA. This disease negatively affects cow health and is associated with monetary losses for the dairy industry. The aim of this study was to predict rpH and SARA separately using diffe...

One-Drop Serum Screening Test to Monitor Tissue Iron Accumulation.

Analytical chemistry
Although iron is an essential element for vital body functions, iron overload (IO) is accompanied by significant cellular damage due to its accumulation within organs. Thus, early diagnosis and accurate identification of the affected organs are criti...