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使用开发的便携式可见和近红外光谱仪对新鲜木薯根中的淀粉进行快速评估。

Rapid Starch Evaluation in Fresh Cassava Root Using a Developed Portable Visible and Near-Infrared Spectrometer.

作者信息

Bantadjan Yuranan, Rittiron Ronnarit, Malithong Kritsanun, Narongwongwattana Sureeporn

机构信息

Department of Food Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University, Nakhon Pathom 73140, Thailand.

Laboratory of Near Infrared Technology, Department of Food Engineering, Faculty of Engineering at Kamphaeng Saen, Kasetsart University, Nakhon Pathom 73140, Thailand.

出版信息

ACS Omega. 2020 May 7;5(19):11210-11216. doi: 10.1021/acsomega.0c01346. eCollection 2020 May 19.

Abstract

Starch content is an important parameter indicating the state of harvest maturity of fresh cassava root. Nowadays, the methods used for estimating the starch content in the field are the measurement of root weight, size, or snapping force. These methods are simple but the results are rather incorrect. For this reason, a developed portable visible and near-infrared spectrometer(350-1050 nm) was used to estimate rapidly and nondestructively starch content in fresh cassava root. The best starch prediction model received from the full wavelength region was able to predict the starch content with a correlation coefficient of prediction ( ) of 0.825, standard errors of prediction of 2.502%, and bias of -0.115%. Moreover, the predicted values were not significantly different from the actual values obtained from the standard method at 95% confidence intervals. It was also noted that the top position of the root was a good representative for starch prediction. In addition, this position was easy to be measured in the field before harvesting.

摘要

淀粉含量是表明新鲜木薯块根收获成熟度的一个重要参数。如今,田间用于估算淀粉含量的方法是测量根的重量、大小或折断力。这些方法很简单,但结果相当不准确。因此,使用一台已开发的便携式可见和近红外光谱仪(350 - 1050纳米)来快速、无损地估算新鲜木薯块根中的淀粉含量。从全波长区域获得的最佳淀粉预测模型能够以0.825的预测相关系数( )、2.502%的预测标准误差和 -0.115%的偏差来预测淀粉含量。此外,在95%置信区间内,预测值与通过标准方法获得的实际值没有显著差异。还注意到根的顶部位置是淀粉预测的良好代表。此外,这个位置在收获前很容易在田间进行测量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0e45/7241029/008f9f27d18c/ao0c01346_0001.jpg

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