首页> 外文期刊>Journal of Pharmaceutical and Biomedical Analysis: An International Journal on All Drug-Related Topics in Pharmaceutical, Biomedical and Clinical Analysis >Quantification of live Lactobacillus acidophilus in mixed populations of live and killed by application of attenuated reflection Fourier transform infrared spectroscopy combined with chemometrics
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Quantification of live Lactobacillus acidophilus in mixed populations of live and killed by application of attenuated reflection Fourier transform infrared spectroscopy combined with chemometrics

机译:用衰减反射傅里叶变换红外光谱与化学计量学相结合的衰减反射傅里叶变换红外光谱法测量活性乳杆菌的活性乳杆菌患者

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Since culture-based methods are costly and time consuming, alternative methods are investigated for the quantification of probiotics in commercial products. In this work ATR- FTIR vibration spectroscopy was applied for the differentiation and quantification of live Lactobacillus (La 5) in mixed populations of live and killed La 5, in the absence and in the presence of enteric polymer Eudragit (R) L 100-55. Suspensions of live (La 5_L) and killed in acidic environment bacillus (La 5_K) were prepared and binary mixtures of different percentages were used to grow cell cultures for colony counting and spectral analysis. The increase in the number of colonies with added%La 5_L to the mixture was log-linear (r(2)=0.926). Differentiation of La 5_L from La 5_K was possible directly from the peak area at 1635 cm(-1) (amides of proteins and peptides) and a linear relationship between%La 5_L and peak area in the range 0-95% was obtained. Application of partial least squares regression (PLSR) gave reasonable prediction of%La 5_L (RMSEp=6.48) in binary mixtures of live and killed La 5 but poor prediction (RMSEp=11.75) when polymer was added to the La 5 mixture. Application of artificial neural networks (ANNs) improved greatly the predictive ability for%La 5_L both in the absence and in the presence of polymer (RMSEp=8.11x10(-8) for La 5 only mixtures and RMSEp=8.77x10(-8) with added polymer) due to their ability to express in the calibration models more hidden spectral information than PLSR. (C) 2018 Elsevier B.V. All rights reserved.
机译:由于基于培养的方法昂贵且耗时,因此研究了商业产品中益生菌的量化方法。在这项工作中,在没有和存在的肠溶聚合物Eudragit(R)L 100-55的情况下,施用ATR-FTIR振动光谱法用于活乳杆菌(La 5)的活性和杀死La 5的混合群体中的实时乳杆菌(La 5)的分化和定量。制备活性(La 5_L)和杀死酸性环境中杀死的悬浮液(La 5_K),并使用不同百分比的二元混合物来生长细胞培养物用于菌落计数和光谱分析。向混合物中加入%La 5_1的菌落数的增加是对数线性的(R(2)= 0.926)。将La 5_L的分化从La 5_k直接来自1635cm(-1)(蛋白质和肽的酰胺)的峰面积,得到0-95%范围内的%La 5_L和峰面积之间的线性关系。局部最小二乘回归(PLSR)在活性和杀死La 5的二元混合物中的%La 5_L(RMSEP = 6.48)的应用程序合理预测,但在将聚合物加入到La 5混合物中时预测差(Rmsep = 11.75)。人工神经网络(ANNS)的应用大大提高了在不存在和存在聚合物(RmSep = 8.11x10(-8)的缺失中的预测能力(RmSep = 8.11x10(-8),仅用于混合物和Rmsep = 8.77x10(-8)添加聚合物)由于它们在校准模型中表达的能力而言比PLSR更有隐藏的光谱信息。 (c)2018年elestvier b.v.保留所有权利。

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