中国马铃薯品种数量繁多,品质指标差异性大,这些指标很大程度上决定了油炸薯片制品的品质,为研究不同马铃薯品种加工油炸薯片的适宜性,试验以国内外广泛种植的74个品种的马铃薯为原材料,分别测定原料的8个加工指标(水分、淀粉、还原糖、总糖、灰分、可溶性固形物、维生素C、蛋白质)及油炸薯片的4个品质指标(蛋白质、感官得分、脆性、白度),随机选取56个样品为校正集,其余18个样品为验证集,应用相关性分析、主成分分析、逐步回归分析方法建立薯片综合评价指标与马铃薯原料加工指标X1~X8之间的回归模型,模型决定系数R2=0.607,调整后R2=0.585,F=26.815,sig.=0.000,拟合度较高,回归模型显著。同时利用验证集样品对回归模型进行验证,结论表明薯片综合评价指标预测值与真值相关系数为0.502,显著性为0.034,相关关系显著,该模型可用于实际油炸薯片综合品质评价。通过K-means聚类法对74个马铃薯品种加工适宜性进行初步划分,筛选出适宜加工薯片的品种15个,评价结果与实际应用现状相符。所建模型可应用于实际马铃薯油炸薯片加工适宜性评价,为中国马铃薯产业选择特定薯片加工品种具有一定的指导意义。
Influenced by Western diet culture and growth in the standard of living, potato chips are currently fashionable as one kind of essential snack food during people's leisure time. The modern potato chip processing industry requires a forward upgrade and higher demands concerning the quality of utilize materials. The Chinese potato industry possesses a wide variety and adequate supply of potatoes currently. Quality indexes were different among cultivars, and these differences determine the quality of fried potato chips to a large extent. In order to determine the suitability of different cultivars for potato chips processing, 74 widely cultivated potato cultivars were investigated. All samples were grown in the same place with the same fertilization. Potato harvesting, storage, processing and index analysis were conducted in the shortest time. Eight main quality indicators of potatoes (water, starch, reducing sugar, total sugar, ash, total soluble solid, Vitamin C and protein) and four quality indicators of potato chips (protein, sensory evaluation, crispness and whiteness) were measured in the laboratory. 56 samples were removed randomly for the validation set, and the other 18 samples for the calibration set. Comprehensive evaluation indicators of potato chips were calculated by the normalization method and Euclidean distance of four individual indicators. Correlation analysis showed that the comprehensive evaluation indicator was significant in represent four individual indicators of potato chips. A principal component analysis was applied to select four irrelevant principal components (F 1 -F 4 ) which could cover most information of the potato samples. An stepwise regression method was used to establish the model of comprehensive evaluation indicators and four principal components (F 1 -F 4 ). Substituted with the original eight main quality indicators of potatoes(X 1 -X 8 ), the final model was determined. The determination coefficient R 2 is 0.607, adjusted R 2 is 0.585, F-value is 26.81