传统粉条通常使用大量明矾而威胁人体健康,目前生物多糖或多糖醛酸盐(生物胶)多用于开发无矾粉条。不同植物来源的淀粉及其粉条品质特性有所不同,基于生物胶的马铃薯无矾粉条工艺配方缺乏系统的比较研究。该研究利用化学计量学偏最小二乘法判别分析和层次聚类分析2种有监督的聚类(分类)分析策略和方法,以传统和国标铝限量明矾粉条为参照,挤压法制作粉条,从蒸煮、质构和感官3方面8个评价指标评价5种生物胶马铃薯粉条最佳配方的品质特性,并通过响应面试验进一步优化了海藻酸钠马铃薯粉条的配方和工艺。结果变量数据进行标准化处理消除量纲,可有效平衡8个指标变量的权重,从而获得最客观的聚类(分类)效果,与传统的感官、蒸煮和质构逐一统计比较结果一致。海藻酸钠粉条与传统明矾粉条聚类距离最近,模式相似度为55.2%;其次为魔芋胶、黄原胶粉条,模式相似度为42.3%;卡拉胶、沙蒿胶粉条与传统粉条聚类距离最远,无相似度,两者与国标铝限量明矾粉条接近,三者断条率和糊汤值最高,其他品质特性最差。海藻酸钠马铃薯粉条最佳配方工艺为:海藻酸钠1.5%(质量分数)、CaCl2 1.5%(质量分数)、漂煮90 s,粉条咀嚼筋道、久煮不软、不断条,其他各项品质均优于传统明矾粉条。将化学计量学分析嫁接到食品配方工艺优化,实现了多指标特征的整体分析,结果呈现简捷直观,是一种集成创新的尝试,对食品品质的综合评价具有指导意义。
Traditional starch noodle usually involves a large amount of alum which threatens human health, nowadays bio-polysaccharides or polygalacturonate (bio-gum) are often utilized to develop alum-free starch noodle. The quality and properties of starch from various plant sources are different, and there is systematic comparative studies on bio-gum-based alum-free potato starch noodles. In this study, two supervised clustering or classification analysis strategies and methods, chemometrics partial least-squares discrimination analysis, and hierarchical cluster analysis were utilized. Using the traditional alum starch noodles and the national standard-limited aluminum starch noodles as a reference, the extrusion method was used to make starch noodles. The quality properties of the best formulations of five kinds of bio-gum potato starch noodles were evaluated from eight evaluation indexes in three aspects of cooking, texture, and sensory. The formulation process of the sodium alginate potato starch noodles was further optimized by a response surface test. The outcome variable data were autoscaled to eliminate magnitude, which effectively balanced the weights of eight index variables to obtain the most objective clustering or classification results, consistent with the traditional statistical comparison of sensory, cooking, and texture properties one by one. The clustering distance between the sodium alginate starch noodles and the traditional alum starch noodles was the closest, and the pattern similarity was 55.2%, followed by konjac gum and xanthan gum starch noodles, the pattern similarity was 42.3%. The pattern similarity between carrageenan and sa-son seed gum starch noodles was 61.5% and they were the furthest from clustering with traditional starch noodles, both of them were close to the national standard alum starch noodles, with the highest breaking rate and turbidity of soup, while the other quality properties were the worst. The best formula and technology of sodium alginate starch noodles was sodium alginate of 1.5%, CaCl2 of 1.5%, and a bleaching time of 90 s, chewy, not easy to soften and break in long boiling, characterizing better than the traditional alum starch noodles. For the first time, chemometrics clustering and pattern analysis were grafted into the formulation process optimization of food to realize the overall analysis of multi-index properties. The results were simple and intuitive, which could be an integrated innovation attempt and has guiding significance for the comprehensive evaluation of food quality.
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