巨大芽孢杆菌L2液体发酵条件响应面优化数据集

对试验结果进行多元二次回归分析，拟合模型形式为Y = β₀ + ΣβᵢXᵢ + ΣβᵢⱼXᵢXⱼ + ΣβᵢᵢXᵢ²，其中Xᵢ为因素编码值，β为回归系数；通过方差分析（ANOVA）评估模型及各因素的显著性，并计算决定系数R²与调整决定系数R²Adj评价模型拟合优度；利用拟合模型进行响应面分析，通过软件优化功能寻找使响应值Y最大化的因素水平组合（A, B, C），并计算预测值。Multiple quadratic regression analysis was conducted on the experimental results, with the fitted model formulated as $Y = eta_0 + sumeta_i X_i + sumeta_{ij} X_i X_j + sumeta_{ii} X_i^2$, where $X_i$ represents the coded value of each factor and $eta$ denotes the regression coefficients. The significance of the overall model and individual factors was evaluated via Analysis of Variance (ANOVA), while the coefficient of determination ($R^2$) and adjusted coefficient of determination ($R^2_{Adj}$) were calculated to assess the model's goodness of fit. Response surface analysis was performed using the fitted model, and the software's optimization function was employed to find the factor level combination (A, B, C) that maximizes the response value Y, with the predicted value also calculated.

搜集汇总

背景与挑战

背景概述

该数据集聚焦于巨大芽孢杆菌L2的液体发酵条件优化，采用响应面方法进行实验设计和数据分析，旨在通过多元二次回归模型确定最优工艺参数组合。数据集适用于农、林、牧、渔服务业领域，为发酵生产中的参数微调和质量控制提供科学依据，数据规模为208KB且无定期更新。