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In recent years, Han Donghai, an associate professor at the College of Food Science and Nutritional Engineering, China Agricultural University, along with his research team, has made a breakthrough by developing a new non-invasive fruit testing device. This innovative tool allows for the assessment of a fruit's internal quality without causing any damage to it. The technology addresses a critical gap in domestic methods for detecting Yam's black heart disease and significantly enhances the accuracy of detecting apple water core disease and browning apples. It has reached international standards in similar research.
Many consumers have encountered situations where fruits appear fresh and appealing on the outside but are actually rotten inside. Now, with this new instrument developed by China Agricultural University, it is possible to test the internal quality of fruits without any harm, providing crucial data for fruit management, quality control, sorting, and classification.
The "rapid non-destructive testing method for fruit quality" has successfully passed evaluation by the Ministry of Education. The research was conducted by Han Donghai and his team, who utilized short-wave near-infrared transmission spectroscopy for fast, non-invasive detection. They also developed specialized equipment for identifying apple water core disease and Yam pear black heart disease.
This technology uses optical transmission principles to assess internal conditions such as water core in apples, internal browning, and black heart in pears, all without damaging the fruit. Compared to other international detection methods, it offers higher accuracy, simpler equipment, and easier operation. Field trials in orchards in Beijing and Shanxi have confirmed its effectiveness.
Experts believe that this achievement not only fills a domestic gap but also brings significant improvements in detection accuracy. It holds great potential for enhancing the quality control of Chinese fruits and is expected to have a promising market outlook. With its practical benefits and advanced methodology, this technology is set to make a meaningful impact on the agricultural and food industries.