Infrared (IR) Spectroscopy

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Foxtail millet | Image Credit: © zhengzaishanchu - stock.adobe.com.

The study developed an effective mid-infrared spectroscopic identification model, combining principal component analysis (PCA) and support vector machine (SVM), to accurately determine the geographical origin of five types of millet with a recognition accuracy of up to 99.2% for the training set and 98.3% for the prediction set.

Orchid flower. | Image Credit: © phanthit malisuwan - stock.adobe.com

A new study published in Food Control combines Fourier transform infrared (FT-IR) spectroscopy and deep learning to accurately authenticate the geographical origin of Gastrodia elata f. glauca, offering a reliable method for geographical indication (GI) verification and fraud prevention in the herbal and food industry.

Battling the fentanyl crisis using ATR FT-IR and machine learning © Tahorima - stock.adobe.com

Researchers have successfully demonstrated that human nails can serve as a reliable biological matrix for detecting fentanyl use. By combining attenuated total reflectance-Fourier transform infrared (ATR FT-IR) spectroscopy with machine learning, the study achieved over 80% accuracy in distinguishing fentanyl users from non-users. These findings highlight a promising, noninvasive method for toxicological and forensic analysis.

Woman testing glucose level with traditional glucose monitor © Andrey Popov - stock.adobe.com

A research team is claiming significantly enhanced accuracy of non-invasive blood-glucose testing by upgrading Fourier transform infrared spectroscopy (FT-IR) with multiple-reflections, quantum cascade lasers, two-dimensional correlation spectroscopy, and machine learning. The study, published in Spectrochimica Acta Part A, reports achieving a record-breaking 98.8% accuracy, surpassing previous benchmarks for non-invasive glucose detection.

Visualizing Propane: Molecular Structure in 3D. Generated with AI. | Image Credit: © Samana - stock.adobe.com.

In the fourth installment of our review of infrared spectral interpretation, we will discuss the spectroscopy of hydrocarbons. We will look at the stretching and bending vibrations of methyl (CH3) and methylene (CH2) groups, how to distinguish them, and how to know whether one or both of these functional groups are present in a sample. We will also discuss aromatic hydrocarbons, specifically the C-H stretching and bending peaks of mono- and disubstituted benzene rings, and how to distinguish them.

Stunning abstract visualization of dynamic atoms and molecules for scientific research and technology concepts. Generated with AI. | Image Credit: © pranee - stock.adobe.com.

It has occurred to me that, in the 10+ years I have been writing about molecular vibrations, I have never introduced my readers to its basic theory! I will rectify that now. Some of this is new material, and some will be review. Either way, it is important that all this material be covered in one place.

Close-up side shot of hands shows microplastic waste contaminated with the seaside sand. Microplastics are contaminated in the sea. Concept of water pollution and global warming. | Image Credit: © Pcess609 - stock.adobe.com

A new study in Infrared Physics & Technology highlights the pivotal role of Fourier transform infrared (FTIR) spectroscopy in identifying and quantifying microplastics, emphasizing its advantages, limitations, and potential for advancement in mitigating environmental pollution.