首页> 外文OA文献 >Quantification of lycopene, beta-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, beta-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法定量完整的红肉西瓜(Citrullus lanatus)中的番茄红素,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 beta-carotene, because of their\udantioxidant action in the organism. Red-flesh watermelon is one of the main sources of lycopene\udas the most abundant carotenoid. The use of near-infrared spectroscopy (NIRS) in post-harvesting\udhas permitted us to rapidly quantify lycopene, beta-carotene, and total soluble solids (TSS) on single\udintact fruits. Watermelons, harvested in 2013–2015, were submitted to near-infrared (NIR) radiation\udwhile being transported along a conveyor belt system, stationary and in movement, and at different\udpositions on the belt. Eight hundred spectra from 100 samples were collected as calibration set in\udthe 900–1700 nm interval. Calibration models were performed using partial least squares (PLS)\udregression on pre-treated spectra (derivatives and SNV) in the ranges 2.65–151.75 mg/kg (lycopene),\ud0.19–9.39 mg/kg (beta-carotene), and 5.3%–13.7% (TSS). External validation was carried out with 35 new\udsamples and on 35 spectra. The PLS models for intact watermelon could predict lycopene with\udR2 = 0.877 and SECV = 15.68 mg/kg, beta-carotene with R2 = 0.822 and SECV = 0.81 mg/kg, and TSS\udwith R2 = 0.836 and SECV = 0.8%. External validation has confirmed predictive ability with R2 = 0.805\udand RMSEP = 16.19 mg/kg for lycopene, R2 = 0.737 and RMSEP = 0.96 mg/kg for beta-carotene, and\udR2 = 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的主要来源之一,是最丰富的类胡萝卜素。在收获后\ udud中使用近红外光谱(NIRS)使我们能够快速定量单个\ udintact水果上的番茄红素,β-胡萝卜素和总可溶性固形物(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,并在传送带上的不同位置处经受近红外(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)\ udregression在2.65–151.75 mg / kg(番茄红素),\ ud0.19–9.39 mg / kg(β-胡萝卜素)范围内的预处理光谱(导数和SNV)上进行校正模型,以及5.3%–13.7%(TSS)。使用35个新\ udsamples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\ udR2 = 0.877和SECV = 15.68 mg / kg,β-胡萝卜素的R2 = 0.822和SECV = 0.81 mg / kg,TSS \ ud和R2 = 0.836和SECV = 0.8%。外部验证已证实具有预测能力,番茄红素的R2 = 0.805 \ udand RMSEP = 16.19 mg / kg,β-胡萝卜素的R2 = 0.737和RMSEP = 0.96 mg / kg,TSS的\ udR2 = 0.707和RMSEP = 1.4%。结果使水果的市场增值

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