当前位置: X-MOL 学术J. AOAC Int. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Non-Destructive Measurement of the Internal Quality of Citrus Fruits Using a Portable NIR Device
Journal of AOAC INTERNATIONAL ( IF 1.6 ) Pub Date : 2020-08-25 , DOI: 10.1093/jaoacint/qsaa115
Carla S P Santos 1 , Rebeca Cruz 1 , Diogo B Gonçalves 2, 3 , Rafael Queirós 2 , Mark Bloore 2 , Zoltán Kovács 1, 4 , Isabel Hoffmann 2 , Susana Casal 1, 5
Affiliation  

The citrus industry has grown exponentially as a result of increasing demand on its consumption, giving it high standing among other fruit crops. Therefore, the citrus sector seeks rapid, easy, and non-destructive approaches to evaluate in real time and in situ the external and internal changes in physical and nutritional quality at any stage of fruit development or storage. In particular, vitamin C is among the most important micronutrients for consumers, but its measurement relies on laborious analytical methodologies. In this study, a portable near infrared spectroscopy (NIRS) sensor was used in combination with chemometrics to develop robust and accurate models to study the ripeness of several citrus fruits (oranges, lemons, clementines, tangerines, and Tahiti limes) and their vitamin C content. Ascorbic acid, dehydroascorbic acid, and total vitamin C were determined by HILIC-HPLC-UV, while soluble solids and total acidity were evaluated by standard analytical procedures. Partial least squares regression (PLSR) was used to build regression models which revealed suitable performance regarding the prediction of quality and ripeness parameters in all tested fruits. Models for ascorbic acid, dehydroascorbic acid, total vitamin C, soluble solids, total acidity, and juiciness showed Rcv2 = 0.77–0.87, Rcv2 = 0.29–0.79, Rcv2 = 0.77–0.86, Rcv2 = 0.75–0.97, Rcv2 = 0.24–0.92, and Rcv2 = 0.38–0.75, respectively. Prediction models of oranges and Tahiti limes showed good to excellent performance regarding all tested conditions. The resulting models confirmed that NIRS technology is a time- and cost-effective approach for predicting citrus fruit quality, which can easily be used by the various stakeholders from the citrus industry.

中文翻译:

使用便携式NIR设备对柑橘类水果的内部质量进行无损检测

由于对柑橘的消费需求增加,柑橘产业呈指数级增长,在其他水果作物中享有很高的声誉。因此,柑橘行业寻求快速,简便且无损的方法来进行实时和现场评估在果实发育或储存的任何阶段,身体和营养质量的外部和内部变化。特别地,维生素C是对消费者而言最重要的微量营养素之一,但其测量依赖于费力的分析方法。在这项研究中,便携式近红外光谱(NIRS)传感器与化学计量学结合使用,以开发出可靠而准确的模型,以研究几种柑橘类水果(橙色,柠檬,柑桔,橘子和大溪地石灰)及其维生素C的成熟度内容。抗坏血酸,脱氢抗坏血酸和总维生素C通过HILIC-HPLC-UV测定,而可溶性固形物和总酸度通过标准分析程序进行评估。偏最小二乘回归(PLSR)用于建立回归模型,该模型揭示了有关所有测试水果的品质和成熟度参数预测的合适性能。显示了抗坏血酸,脱氢抗坏血酸,总维生素C,可溶性固形物,总酸度和多汁性的模型[R简历2个 = 0.77–0.87, [R简历2个 = 0.29–0.79, [R简历2个 = 0.77–0.86, [R简历2个 = 0.75–0.97, [R简历2个 = 0.24–0.92,和 [R简历2个分别为0.38–0.75。在所有测试条件下,橘子和大溪地酸橙的预测模型均显示出良好的性能。由此产生的模型证实了NIRS技术是一种预测柑橘类水果质量的省时又经济的方法,柑橘行业的各种利益相关者都可以轻松使用。
更新日期:2020-08-25
down
wechat
bug