食品扫描仪在水果和蔬菜领域的应用

Q4 Agricultural and Biological Sciences
Landtechnik Pub Date : 2021-03-24 DOI:10.15150/LT.2021.3264
Simon Goisser, S. Wittmann, H. Mempel
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引用次数: 4

摘要

在过去的几年里,便携式和基于智能手机的诊断技术已经进入了农业食品行业。本研究的目的是评估便携式近红外光谱仪(即食品扫描仪)在预测水果和蔬菜重要品质参数方面的性能。食品扫描仪测量与相应质量性状(糖含量、干物质、相对含水量)的破坏性测量相结合,对各种水果和蔬菜进行测量。本研究对苹果、牛油果、蓝莓、鲜食葡萄和橘子的干物质含量进行了评价,交叉验证结果(r²)分别高达0.95、0.87、0.94、0.92和0.92。此外,食品扫描光谱预测蓝莓、猕猴桃、芒果、柿子、鲜食葡萄、橘子和西红柿含糖量的交叉验证(r²)达到0.95、0.84、0.80、0.75、0.95、0.93和0.87。生姜相对含水量的交叉验证相关系数为r²= 0.91。结果表明,使用三种市售食品扫描仪SCiO™,F-750生产质量计和H-100F进行的非破坏性测量,可以高度准确地预测这些性状。因此,食品扫描仪可以作为沿着新鲜农产品供应链的客观测量工具,以快速确定水果质量。此外,一个实际的例子显示了这些仪器在几个星期的时间内对水果和蔬菜批发商的进货控制进行无损质量评估的潜力。此外,还讨论了食品扫描仪在新鲜农产品供应链上的可能应用领域,提出了实际应用的可能性,并强调了节省时间的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Food-scanner applications in the fruit and vegetable sector
In the past few years, portable and smartphone-based diagnostic technologies have found their way into the agri-food industry. The aim of this research was to evaluate the performance of portable near-infrared (NIR) spectrometers, so called food-scanners, with regard to their predictive accuracy of important quality parameters of fruit and vegetables. Food-scanner measurements were performed in combination with destructive measurements of the corresponding quality trait (sugar content, dry matter, relative water content) on a wide range of produce from the fruit and vegetable assortment. This study evaluated dry matter content of apple, avocado, blueberry, table grape and tangerine, which yielded cross validation results (r²) of up to 0.95, 0.87, 0.94, 0.92 and 0.92 respectively. Furthermore, the evaluation of food-scanner spectra for the prediction of sugar content of blueberry, kiwi, mango, persimmon, table grape, tangerine and tomato yielded cross validations (r²) of up to 0.95, 0.84, 0.80, 0.75, 0.95, 0.93, and 0.87. Furthermore, relative water content of ginger obtained a cross validation correlation of r² = 0.91. The results show that these traits can be predicted with a high degree of accuracy using non-destructive measurements performed with three commercially available food-scanners SCiO™, F-750 Produce Quality Meter, and H-100F. Consequently, food-scanners can be used as objective measurement tools along the supply chain of fresh produce to quickly determine fruit quality. In addition, a practical example shows the potential of these instruments for non-destructive quality assessment in incoming goods control at fruit and vegetable wholesalers over a time period of several weeks. Furthermore, possible areas of application of food-scanners along the supply chain of fresh produce are discussed, possibilities for practical applications are presented and time-saving means are highlighted.
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来源期刊
Landtechnik
Landtechnik Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
1.10
自引率
0.00%
发文量
0
审稿时长
16 weeks
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