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引用次数: 0
摘要
本研究对消费者接触到的薯片中的糖醛酸含量进行了实验和统计分析。在第一阶段,确定切片清洗温度 (swt)、油炸温度 (ftemp) 和油炸时间 (ft) 为可能影响甘氨醛含量的因素。考虑到工业应用,研究评估了三种不同的切片清洗温度(25、55 和 85 °C)、油炸温度(180、185 和 190 °C)和油炸时间(165、185 和 205 秒)。实验设计采用了田口方法的 L9 正交阵列,该方法已成功应用于多参数分析。根据信噪比(S/N),得出α-索兰宁(As)含量最低的最佳工艺参数为 25 °C swt、190 °C ftemp 和 165 s ft。α-乌头原碱(Ac)最低含量的最佳工艺参数为 55 °C swt、190 °C ftemp 和 165 s ft。分析结果表明,随着温度swt 的降低、温度ftemp 的升高和温度ft 的缩短,切片中的糖醛酸比率降低。方差分析结果表明,对α-索拉宁和α-乌头碱最有效的工艺参数是油炸时间,其有效率分别为 68.2% 和 76.5%。然后是 ftemp,有效率分别为 17.35% 和 16.77%。此外,为估算输出参数(As 和 Ac)而开发的回归模型也取得了成功,确定系数(R2)分别达到 90.6% 和 92.5%。
Optimization of Process Parameters Affecting Glycoalkaloids in Potato Chips Using the Taguchi Method
This study presents the experimental and statistical examination of different process applications in the production process of the glycoalkaloid level in potato chips to which consumers are exposed. In the first stage, slice washing temperature (swt), frying temperature (ftemp) and frying time (ft) were determined as factors that could affect the glycoalkaloid level. Considering industrial applications, three different slice washing temperatures (25, 55 and 85 °C), frying temperatures (180, 185 and 190 °C) and frying times (165, 185 and 205 s) were evaluated for the study. The L9 orthogonal array of the Taguchi method, which has been successfully applied in the analysis of multiple parameters, was used as the experimental design. Examining the S/N (signal/noise) ratios, the optimum process parameters for minimum content of α-solanine (As) were obtained as 25 °C swt, 190 °C ftemp and 165 s ft. The optimum process parameters were determined for minimum content of α-chaconine (Ac) as 55 °C swt, 190 °C ftemp and 165 s ft. In the analysis results, as swt decreased, ftemp increased, and ft was shortened; the glycoalkaloid ratio in the chips decreased. Analysis of variance results showed the most effective process parameter was the frying time for α-solanine and α-chaconine with 68.2% and 76.5%, respectively. Then comes ftemp with an effectiveness rate of 17.35% and 16.77%. In addition, the regression model developed to estimate the output parameters (As and Ac) yielded successful results with high determination coefficients (R2) of 90.6% and 92.5%.
期刊介绍:
Potato Research, the journal of the European Association for Potato Research (EAPR), promotes the exchange of information on all aspects of this fast-evolving global industry. It offers the latest developments in innovative research to scientists active in potato research. The journal includes authoritative coverage of new scientific developments, publishing original research and review papers on such topics as:
Molecular sciences;
Breeding;
Physiology;
Pathology;
Nematology;
Virology;
Agronomy;
Engineering and Utilization.