Fluorescence spectroscopy for grape and wine compositional analysis and quality control [0.03%]
荧光光谱在葡萄与葡萄酒组分分析及品质控制中的应用
Shuyue Fan,Keren A Bindon,Adam M Gilmore et al.
Shuyue Fan et al.
Wine is an important global alcoholic beverage produced in many regions, in a wide array of styles, and from different grape varieties. Quality is an important concept for wine production, but that depends on the viewpoint (e.g., winemaker,...
Glen Fox
Glen Fox
Beer is the most produced alcoholic beverage globally. It is a paradox of historical views in using the same four ingredients, water, malt, hops and yeast, but continues to be innovative in new beer styles, and technologies. However, near i...
Food fermentations: NIR spectroscopy as a tool for process analytical technology [0.03%]
发酵工程与生物技术：近红外光谱作为一种过程分析技术工具应用于食品生产领域
Cristina Alamprese,Silvia Grassi
Cristina Alamprese
Fermentation is a cornerstone of the food system, offering several benefits in nutrition, food safety, sustainability, and sensory quality. Historically rooted in food preservation and cultural practices, fermentation has evolved into a dyn...
Handheld NIR spectroscopy for real-time on-site food quality and safety monitoring [0.03%]
便携式近红外光谱技术在实时现场食品质量和安全监测中的应用
Krzysztof B Beć,Justyna Grabska,Christian W Huck
Krzysztof B Beć
This chapter reviews the applications and future directions of portable near-infrared (NIR) spectroscopy in food analytics, with a focus on quality control, safety monitoring, and fraud detection. Portable NIR spectrometers are essential fo...
G Jeevarathinam,J Deepa,P Bhava Nishevidha et al.
G Jeevarathinam et al.
In the modern age of heightened food consumption, consumers are increasingly focused on the safety and quality of the products they consume. Consequently, food regulatory authorities are rigorously overseeing the industry to ensure complian...
Vibrational spectroscopy (Raman and infrared) and machine learning tools in food safety and composition [0.03%]
振动光谱（拉曼和红外）及机器学习工具在食品检测中的应用
Luis E Rodriguez-Saona,Silvia de Lamo Castellvi
Luis E Rodriguez-Saona
The integration of machine learning (ML) with vibrational spectroscopy has revolutionized the food industry, advancing the ways food quality, authenticity, and safety are analyzed. ML methods, including traditional approaches such as suppor...
From farm to fork: Spectroscopy in meat quality and safety assurance [0.03%]
从农场到餐桌：肉类品质及安全保证中的光谱学技术
Yash Dixit,Marlon M Reis
Yash Dixit
This chapter explores the application of spectroscopy in assessing meat quality and safety from farm to fork. This is a critical research area, particularly in the light of climate change, which is impacting food supply chains by altering l...
Nir spectroscopy for decision-making in the livestock sector: A technological breakthrough [0.03%]
用于畜牧业决策的近红外光谱技术：一项技术突破
José Antonio Entrenas,Irina Torres-Rodríguez,Dolores Pérez-Marín
José Antonio Entrenas
The agri-food sector is undergoing a significant transformation to meet the increasing global demand for food while ensuring sustainability and economic viability. Livestock production plays a crucial role in food security and rural develop...
Fidel Toldrá
Fidel Toldrá