The relative effectiveness of average-well-color-development-normalized single-point absorbance readings (AWCD) vs the kinetic parameters mu(m), lambda, A, and integral (AREA) of the modified Gompertz equation fit to the color development curve resulting from reduction of a redox sensitive dye from microbial respiration of 95 separate sole carbon sources in microplate wells was compared for a dilution series of rhizosphere samples from hydroponically grown wheat and potato ranging in inoculum densities of 1 x 10(4)-4 x 10(6) cells ml-1. Patterns generated with each parameter were analyzed using principal component analysis (PCA) and discriminant function analysis (DFA) to test relative resolving power. Samples of equivalent cell density (undiluted samples) were correctly classified by rhizosphere type for all parameters based on DFA analysis of the first five PC scores. Analysis of undiluted and 1:4 diluted samples resulted in misclassification of at least two of the wheat samples for all parameters except the AWCD normalized (0.50 abs. units) data, and analysis of undiluted, 1:4, and 1:16 diluted samples resulted in misclassification for all parameter types. Ordination of samples along the first principal component (PC) was correlated to inoculum density in analyses performed on all of the kinetic parameters, but no such influence was seen for AWCD-derived results. The carbon sources responsible for classification differed among the variable types with the exception of AREA and A, which were strongly correlated. These results indicate that the use of kinetic parameters for pattern analysis in CLPP may provide some additional information, but only if the influence of inoculum density is carefully considered.

中文翻译：

---

动力学分析与单点读数在基于社区水平的生理概况（CLPP）进行环境样品分类方面的相对有效性。

平均孔显色归一化的单点吸光度读数（AWCD）与动力学参数mu（m），λ，A和积分Gompertz方程的积分（AREA）的相对有效性符合显色曲线比较了微孔板孔中95个单独碳源的微生物呼吸作用所产生的氧化还原敏感染料的还原结果，比较了水培小麦和马铃薯根际样品的稀释系列，其接种密度为1 x 10（4）-4 x 10 （6）细胞ml-1。使用主成分分析（PCA）和判别函数分析（DFA）分析由每个参数生成的模式，以测试相对分辨能力。基于前五个PC得分的DFA分析，通过根际类型对所有参数的等效细胞密度样品（未稀释样品）进行了正确分类。未稀释和1：4稀释样品的分析导致除用于AWCD归一化（0.50绝对单位）数据的所有参数外，至少两个小麦样品的分类错误，以及未稀释，1：4和1:16稀释样品的分析导致所有参数类型的分类错误。在对所有动力学参数进行的分析中，样品沿第一主成分（PC）的排列与接种物密度相关，但对于AWCD衍生的结果未见此类影响。除了AREA和A之间存在高度相关性外，负责分类的碳源在变量类型之间也有所不同。