Rapid and efficient identification of bacteria using gold-nanoparticle -: Poly(para-phenyleneethynylene) constructs
Rapid and efficient identification of bacteria using gold-nanoparticle -: Poly(para-phenyleneethynylene) constructs
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DOI:
10.1002/anie.200703369
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发表时间:
2008-01-01
影响因子:
16.6
通讯作者:
Bunz, Uwe H. F.
中科院分区:
文献类型:
--
作者:
Phillips, Ronnie L.;Miranda, Oscar R.;Bunz, Uwe H. F.
Fast and efficient identification of pathogens in water and biological fluids is an important issue in medical, forensic, and environmental sciences.[1, 2] We demonstrate herein that noncovalent conjugates of gold nanoparticles and poly (paraphenyleneethynylene)(PPE) identify bacteria effectively within minutes.[3–8] Nanoparticle–bacteria interactions release the bound fluorescent polymer from the gold-nanoparticle quencher, turning on of the polymer fluorescence. The differential fluorescence responses generated by the bacterial surfaces provide an efficient means of identification.[5] We have tested the efficacy of this method by using twelve different bacteria, demonstrating our ability to differentiate between species of bacteria as well as between strains of a single species, without the use of antibodies [6, 7] or radioactive markers.[8]Conventional plating and culturing [9] is generally used to identify causative bacterial pathogens in clinical environments. Although technologically advanced systems have been developed for specific microorganisms,[10] these methods are complex or require sophisticated instrumentation. Plating and culturing is accurate, but requires significant time and effort (more than 24h). Point-of-care treatment decisions are therefore made without access to microbiological information, potentially leading to the prescription of a suboptimal antibiotic. An example is the treatment of keflex-or methicillin-resistant S. aureus strains (MRSA) in community-acquired infections that require treatment with either sulfa drugs or vancomycin.[11] Reisner and Woods have investigated over 9000 cases of clinically reported bacterial infections,[9] and found that 85–90% were due to only seven pathogens, with S. aureus and E. coli being responsible for half of all infections. A simple and rapid test that could discern the clinically most prevalent pathogens would be of great value, providing effective therapeutics against causative pathogens to be administered during the initial point-of-care visit in over 85% of all cases. This capability would not only increase the efficacy of therapy, but would also reduce the occurrence of drug-resistant bacteria arising from inappropriate use of antibiotics.