The rapid advancement of artificial intelligence (AI) is profoundly transforming the theoretical framework and technological paradigm of food detection. The study focuses on elucidating the underlying mechanisms of machine learning (ML)- and deep lea...
The intelligent authentication of whole wheat products remains a significant challenge due to the difficulty in simultaneously monitoring multiple alkylresorcinol (AR) homologues within complex food matrices. To address this, we have developed a nove...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Aug 5, 2025
To achieve rapid, non-destructive detection of food quality indicators, this study introduces a novel method that combines near-infrared (NIR) spectroscopy with the Extreme learning machine (ELM) model. Eight spectral preprocessing methods and three ...
Raman spectroscopy is a key technology for to ensure sustainable and efficient food safety practices owing to its non-invasive and sensitive molecular analysis. This review highlights the recent advancements in Raman-based techniques, which offer imp...
Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Jul 18, 2025
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...
This paper evaluates the use of impedance spectroscopy combined with artificial intelligence. Both technologies have been widely used in food classification and it is proposed a way to improve classifications using recurrent neural networks that trea...
The increasing demand for high-quality, flavorful food products has driven improvements in flavor detection technologies. Traditional methods, such as sensory analysis and instrument-based techniques, often lack thorough quantitative assessments. Thi...
Distinguishing between natural antioxidant phenolic compounds or contaminants in food matrices is crucial for ensuring food quality and safety. In this context, nanozyme-based sensors have emerged as promising tools, demonstrating significant potenti...
Digital images have become a powerful tool for developing analytical methods in food quality control. Unlike conventional analytical signals, images can be processed to extract relevant chemical information, with chemometric techniques enhancing thei...
Food research international (Ottawa, Ont.)
Apr 20, 2025
Food adulteration is an important threat to food safety and can be difficult to detect. Some analytical methods are complex and difficult to meet the needs of large numbers of samples. In this study, we introduced the application of six spectroscopic...
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