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首页> 外文期刊>Journal of Food Measurement and Characterization >Rapid non-destructive moisture content monitoring using a handheld portable Vis-NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)
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Rapid non-destructive moisture content monitoring using a handheld portable Vis-NIR spectrophotometer during solar drying of mangoes (Mangifera indica L.)

机译:在芒果太阳能干燥期间使用手持便携式Vis-Nir分光光度计进行快速无损湿度含量监测(Mangifera Indica L.)

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The aim of the present work was to determine the efficacy of handheld portable Vis-NIR spectroscopy in rapid non-destructive moisture content monitoring during the solar drying of mangoes. Mango slices (1.5 cm thick) from five (5) commercial mango cultivars and two breeding selections were pre-treated by hot water blanching, dipping in distilled water (control); sodium metabisulphite and citric acid solutions. Vis-NIR absorbance spectra in the range of 474-1047 nm (191 spectra points) of the samples were recorded during solar drying at temperatures of 16.8-54.3 degrees C and relative humidity of 19.2-99.3%. A training set consisting of 168 spectra was utilized to develop models based on partial least squares regression. Chemometric analysis gave an optimum wavelength range model that could explain 95.2% of the variance in the moisture content with a detection limit of 5.39%. The optimum model was tested for prediction of the moisture content based on 72 spectra from similarly treated samples. The model could explain 91.6-98.7% of the variance in the moisture content of the test samples with detection limits ranging from 3.97-6.61% w/w. The research demonstrated that portable hand-held Vis-NIR spectroscopy was a robust and effective method for rapid non-destructive monitoring of moisture during solar drying of mangoes. Non-destructive hand-held portable Vis-NIR spectrophotometers can hence facilitate the production of high quality solar dried mangoes.
机译:本作本作的目的是确定手持便携式VIR-NIR光谱在芒果的太阳能干燥过程中快速无损性含水量监测中的疗效。芒果切片(1.5厘米厚)从五(5)个商业芒果品种和两种繁殖选择用热水烫发预处理,浸入蒸馏水中(对照);硫酸钠和柠檬酸溶液。在阳光干燥期间在16.8-54.3摄氏度和相对湿度为19.2-99.3%的温度下记录样品的474-1047nm(191个光谱点)的范围内的吸收光谱。利用168个光谱组成的训练集来基于偏最小二乘回归开发模型。化学计量分析给出了最佳波长范围模型,可以解释水分含量方差的95.2%,检测限为5.39%。测试最佳模型以基于来自类似处理的样品的72个光谱预测水分含量。该模型可以解释测试样品的水分含量的差异91.6-98.7%,检测限范率为3.97-6.61%w / w。该研究表明,便携式手持Vis-Nir光谱是一种稳健且有效的方法,可在芒果的太阳能干燥期间快速无损监测水分。因此,无损手持便携式Vis-Nir分光光度分光光度分光光度分光光度分光光度分光光度分光光度分光光度分光光度分光光度计。

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