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Ability of near-infrared spectroscopy for non-destructive detection of internal insect infestation in fruits: Meta-analysis of spectral ranges and optical measurement modes

机译:近红外光谱对水果中内部昆虫侵染的无损检测的能力:光谱范围和光学测量模式的Meta分析

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The feasibility of utilizing near-infrared (NIR) spectroscopy has been recently assessed for rapid and non-destructive detection of internal insect infestation in some fruits. Based on the findings, this technology can be used for on/in-line inspection of the fruits in terms of insect infestation if suitable instrument is selected for accurate spectral measurements and system development. The spectral range and optical measurement mode are two of the most important factors which can affect the accuracy of the spectral measurements and detection models. The aim of this study is meta-analysis of these factors effects on the ability of NIR-based spectroscopy for non-destructive detection of hidden insect infestation in fruits. Eight studies (65 observations) were extracted based on the criteria of this study. Overall, utilizing NIR-based spectroscopy led to 13.98% error (95% CI = 10.69-17.27%) for non-destructive detection of hidden insect infestation in fruits. Spectral ranges of Vis/SWNIR (above 300 up to 1100 nm), NIR (above 780 up to 2500 nm). and Vis/NIR (above 300 up to 2500 nm) showed errors of 21.71% (95% CI = 16.56-26.86%). 13.30% (95% CI = 5.24-2136%). and 13.65% (95% CI = 5.9-21.4%), respectively. It was noted that wavelengths above 1100 nm (NIR region) are more useful to detect insect infestation in fruit. Results also indicated that optical measurement modes of interactance, reflectance, and transmittance had errors of 6.66% (95% CI = 4.18-9.14%), 15.73% (95% CI = 10.99-20.47%), and 16.04% (95% CI = 726-24.82%), respectively. This meta-analysis suggests that utilizing interactance mode for spectra measurement in NIR-based spectroscopy can increase the accuracy of discrimination of insect infested fruits especially when the spectral range of the spectrometer is Vis/SWNIR. Moreover, it should be selected a spectrometer with the wavelength range of NIR or VisiNIR when using reflectance or transmittance mode is necessary for developing an in/on-fine system to detect insect infestation in fruits. (C) 2019 Elsevier B.V. All rights reserved.
机译:最近已经评估了利用近红外(NIR)光谱的可行性,以评估一些水果中内部昆虫侵扰的快速和无损检测。基于调查结果,如果选择合适的仪器以进行精确的光谱测量和系统开发,该技术可以在昆虫侵扰方面用于水果的开/无线检查。光谱范围和光学测量模式是最重要的因素中的两个,这可能影响光谱测量和检测模型的准确性。本研究的目的是对这些因素的荟萃分析对基于NIR的光谱学的能力的影响,用于非破坏性检测水果中隐藏的昆虫侵扰。根据本研究的标准提取八项研究(65种观察结果)。总的来说,利用基于NIR的光谱学LED为13.98%的误差(95%CI = 10.69-17.27%),用于非破坏性检测水果中隐藏的昆虫侵扰。 VIS / SWNIR的光谱范围(高于300至1100nm),NIR(高于780至2500nm)。和VIR / NIR(高于300至2500nm)显示出误差为21.71%(95%CI = 16.56-26.86%)。 13.30%(95%CI = 5.24-2136%)。分别为13.65%(95%CI = 5.9-21.4%)。注意,1100nm以上波长(NIR区域)更有用来检测果实中的虫害。结果还表明,相互作用,反射率和透射率的光学测量模式的误差为6.66%(95%CI = 4.18-9.14%),15.73%(95%CI = 10.99-20.47%),16.04%(95%CI)分别= 726-24.82%)。该元分析表明,利用基于NIR的光谱学中的光谱测量的相互作用模式可以提高昆虫侵扰果实的辨别精度,特别是当光谱仪的光谱范围是VIS / SWNIR时。此外,在使用反射率或透射模式时,应选择具有NIR或VISINIR的波长范围的光谱仪,以便在进行中/内细系统以检测水果中的昆虫侵害所必需的。 (c)2019 Elsevier B.v.保留所有权利。

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