Recently, the team of non-destructive testing and intelligent sorting research at the Institute of Facility Agriculture of the Guangdong Academy of Agricultural Sciences systematically reviewed the research progress of intelligent rapid detection techniques for low-content components in fruits and vegetables. The related review paper was published in "Foods".
The review points out that fruits and vegetables are an indispensable part of people's daily diet, and the low-content components they contain are crucial for human health. In recent years, intelligent rapid detection techniques have achieved significant results in the field of intelligent rapid detection of higher-content components in fruits and vegetables. However, accurate detection of low-content components still poses challenges, becoming a hotspot and difficulty in current research in this field.
The authors reviewed several intelligent rapid detection techniques that have been deeply researched in recent years, including near-infrared spectroscopy, hyperspectral imaging, Raman spectroscopy, laser-induced breakdown spectroscopy, nuclear magnetic resonance, and terahertz spectroscopy techniques. They provided detailed reports and analyses of these technologies from principles to applications. They also anticipated the future development direction of rapid detection of low-content components in fruits and vegetables, hoping to provide reference and guidance for improving and promoting the detection technology of low-content components.
Related paper information: https://doi.org/10.3390/foods13071116
