Near Infrared (NIR) Spectroscopy

Top articles published this week include a review article on the latest research in agriculture analysis, a peer-reviewed article on near-infrared (NIR) spectroscopy, and an interview about using fluorescence spectroscopy in cheese ripening.

Spectroscopic analytical techniques are crucial for the analysis of agricultural products. This review emphasizes the latest advancements in several key spectroscopic methods, including atomic, vibrational, molecular, electronic, and X-ray techniques. The applications of these analytical methods in detecting important quality parameters, adulteration, insects and rodent infestation, ripening, and other essential applications are discussed.

A recent study reveals on the challenges and limitations of AI-driven spectroscopy methods for rapid food analysis. Despite the promise of these technologies, issues like small sample sizes, misuse of advanced modeling techniques, and validation problems hinder their effectiveness. The authors suggest guidelines for improving accuracy and reliability in both research and industrial settings.

This study aimed to establish a fast, accurate method for quality evaluation of herbal medicine using NIR and chemometrics with ultraviolet-visible spectrophotometry (UV-vis) as a standard method to determine the total flavonoids content.

Researchers from Zhejiang University have developed a new non-linear memory-based learning (N-MBL) model that enhances the prediction accuracy of soil properties using visible near-infrared (vis-NIR) spectroscopy. By comparing N-MBL with traditional machine learning and local modeling methods, the study reveals its superior performance, particularly in predicting soil organic matter and total nitrogen.

A recent article authored by scientists from the Institute of Sport and Preventive Medicine, part of the University of Saarland (Saarbrücken, Germany), discusses their investigation of the absolute and relative test-retest reliability of the Moxy Monitor, as well as their investigations into side differences of oxygen saturation at the vastus lateralis muscle of both legs in male cyclists.

Researchers from the University of Minnesota and Nanjing Agricultural University have highlighted the potential of deep learning to significantly improve the accuracy and robustness of fruit quality assessments using visible-near-infrared spectroscopy.

In the second part of this article, we dive into the methodology conducted by researchers from Yunnan Agricultural University in China that successfully used near-infrared (NIR) to analyze the protein content in chickens.

In this article, we continue our exploration of food analysis by providing an overview of how scientists are using near-infrared (NIR) spectroscopy to analyze the protein content in chickens.

A review highlights the transformative role of miniaturized near-infrared (NIR) spectrophotometers in forensic science, offering portable, cost-effective solutions for on-site analysis. These devices, while not without limitations, pave the way for more accessible and efficient forensic practices.

Food authentication is becoming increasingly important. In this article, the editors of Spectroscopy outline the methodology used in a recent study used to analyze paprika.

Food authentication is becoming increasingly important to ensure safety and quality. In the first part of this two part article, the editors of Spectroscopy provide an overview of the paprika industry and a study using Fourier transform near-infrared (FT-NIR) spectroscopy to validate the authenticity of paprika.

Researchers at Budapest University of Technology and Economics have developed a novel method for real-time monitoring of the protein purification process using Raman and near-infrared (NIR) spectroscopy. Their study compares the effectiveness of these two spectroscopic techniques in tracking the removal of imidazole, a process-related impurity, during the purification of the SARS-CoV-2 spike protein's receptor-binding domain (RBD).

A recent study compared ATR FT-IR and NIR spectroscopy to identify microplastics in biosolids, finding significant correlations with consumer plastics like polyethylene and polypropylene. These results highlight the role of biosolids in introducing microplastics to agricultural soils and accentuate the importance of accurate identification methods.

In agriculture, soil quality is integral to facilitating good farming practices and maximizing crop yield. A new study examines how visible-near-infrared (vis-NIR) spectroscopy is being used to evaluate soil quality.

A recent study from Sichuan, China, leveraged a few spectroscopic techniques with chemometrics to analyze key components of the beer brewing process.

A recent study from Yanshan University examined optical nanoantennas and how their properties change over across different configurations.

A recent study introduced a new scanning X-ray fluorescence (MA-XRF) scanner that improves analysis of cultural heritage artifacts.

Top articles this week include how spectroscopy is being used in education, athletics, and biology.

A recent study from the Yunnan Academy of Agricultural Sciences in China explored how five vibrational spectroscopic techniques are used to combat food adulteration.

In honor of the Paris 2024 Summer Olympics, the editors of Spectroscopy highlighted the impact of spectroscopy in athletic competitions by discussing a few recent studies in this space.

A recent study used visible-near-infrared spectroscopy (vis-NIR) to improve quantification of white blood cells.

Researchers have developed rapid quantification models to detect melamine adulteration in sports nutrition supplements using benchtop and portable near-infrared (NIR) spectroscopy instruments. This study highlights the efficiency of these methods in ensuring the safety and quality of sports supplements.

A recent review highlights the application of cutting-edge infrared (IR) spectroscopic techniques in analyzing micro- and nanoplastics (MNPs), providing valuable guidance for researchers to select suitable instrumentation for analysis. The study emphasizes the need for reliable tools to understand the environmental and health risks associated with these pollutants.

A recent study examines a new Internet of Things (IoT) framework using visible and near-infrared spectroscopy technology to accurately delineate between male and female pigeon eggs.

Researchers using the James Webb Space Telescope (JWST) have observed a water vapor coma around main-belt comet 238P/Read. The study, led by Michael S. P. Kelley and Henry H. Hsieh, provides insights into the comet's activity driven by water-ice sublimation and distinguishes it from other comets due to the absence of significant carbon dioxide gas.

A comprehensive study of small near-Earth objects (NEOs) using spectroscopy reveals composition, source regions, and rotational properties. The research identifies S-complex asteroids as the most abundant and introduces a new subclass within this complex, yielding detailed information on the characteristics and origins of these celestial bodies.

Forensic scientists have made significant strides in bloodstain identification, leveraging advanced hyperspectral imaging and machine learning to distinguish between human and animal bloodstains with remarkable accuracy.

Researchers from Vanderbilt University and Stanford University School of Medicine have developed a low-cost, wearable functional near-infrared spectroscopy (fNIRS) headband. This device, described as the first open-source, wireless fNIRS headband system, enables neuroimaging in naturalistic settings, making brain monitoring more accessible and versatile.