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首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Potential of near infrared spectroscopy for predicting the physicochemical properties on potato flesh
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Potential of near infrared spectroscopy for predicting the physicochemical properties on potato flesh

机译:近红外光谱的潜力预测马铃薯肉体的物理化学性质

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The immense diversity in potato varieties makes it interesting as food in the market worldwide. Information regarding the nutritional composition and minor compounds contained within the food are demanded by consumers. The physicochemical characteristics (phenols, flavonoids, IC50, dry matter, total soluble solid content, apex and flesh texture, and a*, 6*, L* color coordinates of the CIELab scale of the flesh) of 73 potato samples were analysed using methods of reference. Near infrared spectroscopy (NIBS) technology was used to predict the physicochemical properties of potato tubers and its potential was evaluated for replacing traditional analytical methods. Spearman correlations indicated a strong relationship between the color coordinates and the antioxidant components, showing higher content in the violet-fleshed potatoes, such as Entzia, Fleur Bleue and Violetta varieties. Principal component analysis (PCA) and modified partial least squares (MPLS) regression were used to establish and explore the best equations. Calibrated statistical descriptors for phenols, flavonoids, IC50, dry matter, total soluble solid content, and apex texture were excellent (with R-2 0.80). Thus, NIR technology has significant potential in the potato industry because it allows rapid prediction of quality parameters and antioxidant components of potatoes.
机译:土豆品种的巨大多样性使其成为全球市场的食物。有关食物中含有的营养成分和次要化合物的信息是由消费者要求的。使用方法分析了73种土壤中的酚类样品的物理化学特性(酚类,黄酮类化合物,IC50,干物质,总可溶性固体含量,顶点和肉质纹理,以及肉体的CIELAB等级的肉瘤)参考。近红外光谱(NIBS)技术用于预测马铃薯块茎的物理化学性质及其潜力评价替代传统分析方法。 Spearman相关表明颜色坐标和抗氧化组分之间的强有力的关系,在紫罗兰肉土豆(例如Entzia,Fleur Blleue和Violetta品种)中显示出更高的含量。主要成分分析(PCA)和修改的偏最小二乘(MPLS)回归用于建立和探索最佳方程。校准的苯酚,黄酮类化合物,IC50,干物质,总可溶性固体含量和顶点纹理的校准统计描述符优异(具有R-2> 0.80)。因此,NIR技术在马铃薯行业中具有显着潜力,因为它允许快速预测土豆的质量参数和抗氧化成分。

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