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Nondestructive determination of soluble solids and firmness in mix-cultivar melon using near-infrared CCD spectroscopy

机译:近红外CCD光谱法无损测定混合品种瓜中的可溶性固形物和硬度

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Nondestructive evaluation of melon quality is in great need of comprehensive study. Soluble solids content (SSC) and firmness are the two indicators of melon internal quality that mostly affect consumer acceptance. To provide guidance for fruit classification, internal quality standards was preliminarily established through sensory test, as: Melon with SSC over 12° Brix, firmness 4–5.5 kgf · cm-2 were considered as satisfactory class sample; and SSC over 10° Brix, firmness 3.5–6.5 kgf · cm-2 as average class sample. The near infrared (NIR) nondestructive detection program was set as spectra collected from the stylar-end, Brix expressed by the average SSC of inner and outer mesocarp, each cultivar of melon was detected with its own optimum integration time, and the second derivative algorithm was used to equalize them. Using wavelength selected by genetic algorithms (GA), a robust SSC model of mix-cultivar melon was established, the root mean standard error of cross-validation (RMSECV) was 0.99 and the rat...
机译:急需对甜瓜品质进行无损评价。可溶性固形物含量(SSC)和硬度是两个主要影响消费者接受度的瓜子内部质量指标。为了给水果分类提供指导,通过感官测试初步建立了内部质量标准,例如:甜度高于12°的甜瓜,硬度4–5.5 kgf·cm-2被认为是令人满意的分类样品;糖度高于10°的SSC,硬度为3.5–6.5 kgf·cm-2,为平均等级样品。设置近红外(NIR)无损检测程序为从柱端收集的光谱,以内,中果皮的平均SSC表示白利糖度,以其自身的最佳积分时间检测每个甜瓜品种,并采用二阶导数算法被用来均衡它们。利用遗传算法(GA)选择的波长,建立了一个稳健的混合品种甜瓜SSC模型,交叉验证的均方根标准误(RMSECV)为0.99,而大鼠的...

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