...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Acta Horticulturae >Non-destructive detection of physiological disorders in melons using near infrared (NIR) spectroscopy.
【24h】

Non-destructive detection of physiological disorders in melons using near infrared (NIR) spectroscopy.

机译：使用近红外（NIR）光谱技术无损检测甜瓜的生理异常。

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

It is difficult to diagnose physiological disorders, namely, water soaked and browning flesh, in melons. Consumers do not want to buy such melons. The nondestructive evaluation of fruit and vegetable quality is important and a practical problem. To measure NIR absorption spectrum, each melon was hand placed 3 mm apart from the end of a fibre optic probe ('non-contact mode') [see Ito, H.; Ippoushi, K.; Azuma, K.; Higashio, H. Proc. 9th Intl. Conf. (2000), 859-862; Ito, H.; Fukino-Ito, N. Proc. 10th Intl. Conf. (2002)] so that the blossom end was centred. The original spectra were converted to the second derivative spectra (d2 log 1/R). Following optical measurement, the melon was cut vertically and mainly the water soaked symptom inside irradiated area with NIR beam was visually scored between 0 to 5 (5 is the severest) and taken a photograph. Multiple linear regression (MLR) on spectra (n=8) gave a calibration equation using d2 log 1/R at 942 and 810 nm with a multiple correlation coefficient (MR) of 0.78, and a standard error of the calibration sample set (SEC) of 1.16. We tried to validate the MLR calibration using other lots including not only cultivated but also purchased melons. Nevertheless, the melons whose scores were predicted more than 2.30 by our NIR method always showed the symptom. The calibration was also able to detect browning flesh. The vicinity of 810 nm has just been used for detection of browning inside apples. Water soaked symptom in melons appears to be similar to browning in apples and melons. We conclude that NIR technology offers the potential of nondestructive water soaked and browning flesh detection in melons.
机译：很难诊断出瓜类的生理失调，即水浸和褐变。消费者不想购买这种瓜。水果和蔬菜质量的无损评估非常重要，也是一个实际问题。为了测量NIR吸收光谱，将每个瓜子放在距光纤探头末端3 mm处（“非接触模式”）[请参见Ito，H .; Ippoushi，K .;亚利桑那州阿祖玛;东潮H.第9国际机场Conf。 （2000），859-862;伊藤，H。福井伊藤市第十国际机场Conf。 （2002年）]，以使开花末端居中。将原始光谱转换为二阶导数光谱（d2 log 1 / R）。光学测量后，将瓜垂直切开，并且在视觉上在0至5之间对主要被NIR束照射的水浸泡症状进行评分（5为最严重）并拍摄照片。光谱（n = 8）上的多元线性回归（MLR）给出了使用942和810 nm处的d2 log 1 / R和0.78的多重相关系数（MR）以及校准样品组（SEC）的标准误差的校准方程式）的1.16。我们尝试使用其他批次（不仅包括栽培的瓜类，还包括购买的瓜类）来验证MLR校准。然而，用我们的近红外光谱法预测得分超过2.30的瓜总是表现出这种症状。校准还能够检测到褐变的肉。 810 nm附近刚刚用于检测苹果内部的褐变。甜瓜中的水浸症状与苹果和甜瓜中的褐变相似。我们得出的结论是，近红外技术提供了在瓜类中进行无损浸水和褐变肉检测的潜力。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号