Organisch-Chemisches Institut, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 270, 69120, Heidelberg, Germany.
Institute of Pharmacy and Molecular Biotechnology, Ruprecht-Karls-Universität Heidelberg, Im Neuenheimer Feld 364, 69120, Heidelberg, Germany.
Angew Chem Int Ed Engl. 2017 Nov 27;56(48):15246-15251. doi: 10.1002/anie.201706101. Epub 2017 Oct 26.
A negatively charged poly(para-phenyleneethynylene) (PPE) forms electrostatic complexes with four positively charged antimicrobial peptides (AMP). The AMPs partially quench the fluorescence of the PPE and discriminate fourteen different bacteria in water and in human urine by pattern-based fluorescence recognition; the AMP-PPE complexes bind differentially to the components of bacterial surfaces. The bacterial species and strains form clusters according to staining properties (Gram-positive and Gram-negative) or genetic similarity (genus, species, and strain). The identification and data treatment is performed by pattern evaluation with linear discriminant analysis (LDA) of the collected fluorescence intensity data.
带负电荷的聚对苯乙炔(PPE)与四个带正电荷的抗菌肽(AMP)形成静电复合物。AMP 部分猝灭 PPE 的荧光,并通过基于图案的荧光识别在水和人尿中区分十四个不同的细菌;AMP-PPE 复合物与细菌表面的成分有差异地结合。根据染色特性(革兰氏阳性和革兰氏阴性)或遗传相似性(属、种和菌株),细菌种类和菌株形成聚类。通过对采集的荧光强度数据进行线性判别分析(LDA)的模式评估来进行鉴定和数据处理。