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New generation NIRS sensors for quality and safety assurance in summer squashes along the food supply chain

机译:新一代NIRS传感器,可确保食品供应链中夏季南瓜的质量和安全性

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The increasing demand of the horticultural sector in terms of quality and safety assurance stresses the need of the producers and the agri-food industry of implementing non-destructive analysis techniques. Near infrared spectroscopy (NIRS) has proven to be an increasingly practical option for satisfying this demand. Recently a new generation of NIRS instruments has been developed, being necessary their previous evaluation before their incorporation for quality and safety assurance along the food supply chain. For this purpose, 230 summer squashes, grown outdoors in the province of Cordoba (Spain), were analyzed to determine quality (dry matter content (DMC) and soluble solid content (SSC)) and safety (nitrate content) parameters using two spectrophotometers, MicroNIR™ Pro 1700 and Matrix-F, ideally suited for the in situ and online analysis, respectively. A linear calibration strategy - modified partial least squares regression, MPLS - were used for the development of predictive models. The results obtained showed NIRS technology, by means of new generation sensors, is a potential tool for the non-destructive measurement of DMC (RPD_(cv) = 1.76 and RPD_(cv) = 1.98), SSC (RPD_(cv) = 1.62 and RPD_(cv) = 1.63) and nitrate content (RPD_(cv) = 1.77 and RPD_(cv) = 1.36), for the MicroNIR™ Pro 1700 and Matrix-F, respectively. This would enable to improve the quality and safety control of this vegetable throughout the whole supply chain, i.e. in field and in the processing plant.
机译:园艺部门在质量和安全保证方面的需求不断增长,这突出了生产者和农业食品行业实施无损分析技术的需求。近红外光谱(NIRS)已被证明是满足这一需求的越来越实用的选择。最近,已经开发了新一代的NIRS仪器,在将其纳入食品供应链中的质量和安全保证之前,有必要对其进行先前的评估。为此,对使用两个分光光度计在科尔多瓦省(西班牙)户外种植的230个西葫芦进行了分析,以确定质量(干物质含量(DMC)和可溶性固形物含量(SSC))和安全性(硝酸盐含量)参数, MicroNIR™Pro 1700和Matrix-F分别是现场分析和在线分析的理想选择。线性校准策略-改进的偏最小二乘回归MPLS-用于开发预测模型。获得的结果表明,借助新一代传感器,NIRS技术是用于DMC(RPD_(cv)= 1.76和RPD_(cv)= 1.98),SSC(RPD_(cv)= 1.62)的无损测量的潜在工具。对于MicroNIR™Pro 1700和Matrix-F,其RPD_(cv)= 1.63)和硝酸盐含量(RPD_(cv)= 1.77和RPD_(cv)= 1.36)。这将能够改善整个供应链中(即在田间和在加工厂中)这种蔬菜的质量和安全控制。

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