Food and Beverage Analysis

Webinar Date/Time: Thu, Apr 16, 2026 11:00 AM EDT

In this overview, we explore how spectroscopy is advancing the agriculture industry.

A recent study shows that bioimpedance spectroscopy can non-invasively and reliably assess fruit and vegetable freshness by tracking electrical changes during ripening.

This review article highlights how a new review by Da-Wen Sun demonstrates that integrating spectroscopy with chemometric techniques can significantly improve cold chain food quality monitoring, authentication, and overall system efficiency.

A recently developed sensor demonstrated that it could improve tannic acid detection in both food and environmental systems.

A new study from Heilongjiang Bayi Agricultural University pioneers rapid, non-destructive detection of illicit food additives using deep learning and near-infrared spectroscopy.

A recent study explores how Fourier transform infrared (FT-IR) spectroscopy can be used to predict key dough-making characteristics.

A recent study investigates microplastic contamination in beverages sold in South Africa, exploring whether it impacts alcoholic and non-alcoholic beverages more directly.

A review article from researchers at Liaocheng University explores the challenges of applying vibrational spectroscopy techniques to food authentication.

A new study reveals that resveratrol binds to peanut protein arachin through hydrophobic and hydrogen-bond interactions, enhancing protein stability and offering valuable insights for developing functional peanut-based food products.

A recent study explored a novel approach to analyze ancient food and wine residues using FT-IR spectroscopy.

A recent study proposed and tested a new approach for monitoring the nutritional quality of orange juice.

A recent study conducted by researchers from the Taiyuan University of Technology (China) explored a new way to detect pesticide residues at very low levels.

A new study demonstrates that infrared spectroscopy combined with chemometric modeling offers a fast, cost-effective way to classify plant-based milk alternatives and detect compositional variability, particularly in almond beverages.

A new study highlights terahertz (THz) metamaterials as a promising non-invasive, highly sensitive technology for improving food safety testing in agriculture.

Webinar Date/Time: Wednesday, September 17, 2025 Morning Session: 10:00 AM EST | 7:00 AM PST | 3:00 PM BST | 4:00 PM CEST Afternoon Session: 1:00 PM EST | 10:00 AM PST | 6:00 PM BST | 7:00 PM CEST

Researchers at the National Institute of Technology Rourkela have developed a highly accurate machine learning-assisted FT-IR spectroscopy method to detect and quantify sawdust adulteration in coriander powder, offering a fast and scalable solution to enhance food safety and authenticity.

A new study reveals that anthocyanin-rich fruit extracts degrade rapidly under sunlight but remain most stable in cold, dark storage.

Researchers have developed a fast, chemical-free method using near-infrared spectroscopy to accurately analyze the quality of dark chocolate, offering a sustainable alternative to traditional testing techniques.

Researchers at Jiangnan University have developed a highly accurate method combining Raman spectroscopy with deep learning to monitor acid value in palm oil.

A recent study developed and tested a highly stable, nanozyme-based colorimetric sensor capable of rapidly and accurately detecting vitamin C in commercial beverages, offering a practical tool for real-time nutritional assessment.

A recent study demonstrated that portable Raman spectroscopy, combined with advanced statistical modeling, offers a reliable, non-destructive method for monitoring nitrate levels in greenhouse-grown spinach.

A new review published in Trends in Food Science & Technology highlights how advanced spectroscopy, multidimensional chromatography, artificial intelligence (AI), and novel sensors are improving food safety by enhancing sensitivity, speed, and sustainability in contaminant detection.

Researchers at INIAV in Portugal have demonstrated that near-infrared (NIR) spectroscopy combined with chemometric algorithms offers a rapid, non-destructive, and accurate method for detecting harmful fumonisins in maize, enhancing food safety monitoring.

Researchers at China Agricultural University developed a rapid and accurate spectroscopic method using NIR and FT-IR combined with PLS regression to measure protein content in rice noodles, enhancing quality control for the popular river snail rice noodle (luosifen) industry.