Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents
Temperature compensation for near infrared reflectance measurement of apple fruit soluble solids contents
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DOI：
10.1016/s0925-5214(03)00118-2
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发表时间：
2003-12-01
影响因子：
7
通讯作者：
Nicolaï, BM
中科院分区：
文献类型：
--
作者：
Peirs, A;Scheerlinck, N;Nicolaï, BM
近红外光谱（NIR）已成功地用于测定苹果果实中的可溶性固形物。然而，为了实际实现，该技术需要能够补偿水果温度波动，因为观察到样品温度以非线性方式影响近红外反射光谱。在实践中，由于天气条件的变化或收获后立即对水果进行不当调理，可能会出现温度波动。发现有两种技术非常适合控制可溶固体校准模型在温度波动方面的准确性。第一个，也是最实际的一个，包括建立一个全球鲁棒校准模型，以覆盖未来预期的温度范围。第二种方法涉及开发一系列温度专用校准模型。后一种方法的缺点是所需的数据收集非常大。如果不采取预防措施，可溶固形物含量读数的误差可能高达4%白利度。(C) 2003 Elsevier B.V.版权所有
Near infrared reflectance (NIR) spectroscopy has been used successfully to measure soluble solids in apple fruit. However, for practical implementation, the technique needs to be able to compensate for fruit temperature fluctuations, as it was observed that the sample temperature affects the near infrared reflectance spectrum in a non-linear way. Temperature fluctuations may occur in practice because of varying weather conditions or improper conditioning of the fruit immediately after harvest. Two techniques were found well suited to control the accuracy of the calibration models for soluble solids with respect to temperature fluctuations. The first, and most practical one, consisted of developing a global robust calibration model to cover the temperature range expected in the future. The second method involved the development of a range of temperature dedicated calibration models. The drawback of the latter approach is that the required data collection is very large. When no precautions are taken, the error on the soluble solids content reading may be as large as 4%brix. (C) 2003 Elsevier B.V. All rights reserved.