首页> 美国卫生研究院文献>Sensors (Basel Switzerland) >Quantification of Lycopene β-Carotene and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy
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Quantification of Lycopene β-Carotene and Total Soluble Solids in Intact Red-Flesh Watermelon (Citrullus lanatus) Using On-Line Near-Infrared Spectroscopy

机译:使用在线近红外光谱定量分析完整的红皮西瓜中番茄红素β-胡萝卜素和总可溶性固形物

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摘要

A great interest has recently been focused on lycopene and β-carotene, because of their antioxidant action in the organism. Red-flesh watermelon is one of the main sources of lycopene as the most abundant carotenoid. The use of near-infrared spectroscopy (NIRS) in post-harvesting has permitted us to rapidly quantify lycopene, β-carotene, and total soluble solids (TSS) on single intact fruits. Watermelons, harvested in 2013–2015, were submitted to near-infrared (NIR) radiation while being transported along a conveyor belt system, stationary and in movement, and at different positions on the belt. Eight hundred spectra from 100 samples were collected as calibration set in the 900–1700 nm interval. Calibration models were performed using partial least squares (PLS) regression on pre-treated spectra (derivatives and SNV) in the ranges 2.65–151.75 mg/kg (lycopene), 0.19–9.39 mg/kg (β-carotene), and 5.3%–13.7% (TSS). External validation was carried out with 35 new samples and on 35 spectra. The PLS models for intact watermelon could predict lycopene with R2 = 0.877 and SECV = 15.68 mg/kg, β-carotene with R2 = 0.822 and SECV = 0.81 mg/kg, and TSS with R2 = 0.836 and SECV = 0.8%. External validation has confirmed predictive ability with R2 = 0.805 and RMSEP = 16.19 mg/kg for lycopene, R2 = 0.737 and RMSEP = 0.96 mg/kg for β-carotene, and R2 = 0.707 and RMSEP = 1.4% for TSS. The results allow for the market valorization of fruits.
机译:由于番茄红素和β-胡萝卜素在生物体中的抗氧化作用,近来引起了极大的兴趣。红肉西瓜是番茄红素中最丰富的类胡萝卜素的主要来源之一。收获后使用近红外光谱(NIRS)使我们能够快速定量单个完整水果上的番茄红素,β-胡萝卜素和总可溶性固体(TSS)。 2013-2015年收获的西瓜在传送带系统中处于静止和运动状态以及在传送带上的不同位置进行运输时,都经受了近红外(NIR)辐射。在900-1700 nm的间隔内收集了100个样品的800个光谱作为校准集。使用偏最小二乘(PLS)回归对预处理后的光谱(衍生物和SNV)进行校准,模型范围为2.65–151.75 mg / kg(番茄红素),0.19–9.39 mg / kg(β-胡萝卜素)和5.3% –13.7%(TSS)。使用35个新样品和35个光谱进行了外部验证。完整西瓜的PLS模型可以预测番茄红素的R 2 = 0.877和SECV = 15.68 mg / kg,β-胡萝卜素的R 2 = 0.822和SECV = 0.81 mg / kg千克,TSS的R 2 = 0.836和SECV = 0.8%。外部验证已证实具有预测能力,番茄红素的R 2 = 0.805和RMSEP = 16.19 mg / kg,β-胡萝卜素的R2 = 0.737和RMSEP = 0.96 mg / kg,R 2 <对于TSS,/ sup> = 0.707,RMSEP = 1.4%。结果可以使水果的市场增值。

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