Ayvaz Huseyin, Bozdogan Adnan, Giusti M Monica, Mortas Mustafa, Gomez Rene, Rodriguez-Saona Luis E
Department of Food Engineering, Canakkale Onsekiz Mart University, Canakkale 17020, Turkey.
Department of Food Engineering, Osmaniye Korkut Ata University, Osmaniye 80000, Turkey.
Food Chem. 2016 Nov 15;211:374-82. doi: 10.1016/j.foodchem.2016.05.083. Epub 2016 May 13.
Efficient selection of potato varieties with enhanced nutritional quality requires simple, accurate and cost effective assays to obtain tuber chemical composition information. In this study, 75 Andean native potato samples from 7 Solanum species with different colors were characterized and quantified for their anthocyanin, phenolics and sugar content using traditional reference methods. IR (infrared) spectra of potato extracts were collected using a portable infrared system and partial least squares regression (PLSR) calibration models were developed. These models were validated using both full cross-validation and an independent sample set giving strong linear correlation coefficients of prediction (rPred)>0.91 and standard error of prediction (SEP) of 24mg/100g phenolics, 7mg/100g monomeric anthocyanins, 0.1g/100g reducing sugars and 0.12g/100g sucrose. Overall, portable infrared system with PLSR showed great potential to facilitate potato breeding and certain aspects of crop management, material selection for potato processing and related research by providing alternative prediction models.
高效筛选营养品质优良的马铃薯品种需要简单、准确且经济高效的分析方法来获取块茎化学成分信息。在本研究中，使用传统参考方法对来自7个不同颜色茄属物种的75份安第斯原生马铃薯样品的花青素、酚类和糖分含量进行了表征和定量分析。使用便携式红外系统收集马铃薯提取物的红外光谱，并建立了偏最小二乘回归（PLSR）校准模型。这些模型通过全交叉验证和独立样本集进行验证，预测的线性相关系数（rPred）>0.91，酚类的预测标准误差（SEP）为24mg/100g、单体花青素为7mg/100g、还原糖为0.1g/100g、蔗糖为0.12g/100g。总体而言，配备PLSR的便携式红外系统通过提供替代预测模型，在促进马铃薯育种、作物管理的某些方面、马铃薯加工的材料选择及相关研究方面显示出巨大潜力。
