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SERS Classification of Highly Related Performance Enhancers
Author(s) -
AlvarezPuebla Ramon A.,
BravoVasquez Juan P.,
Cui Bo,
Veres Teodor,
Fenniri Hicham
Publication year - 2007
Publication title -
chemmedchem
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.817
H-Index - 100
eISSN - 1860-7187
pISSN - 1860-7179
DOI - 10.1002/cmdc.200700085
Subject(s) - enhancer , athletes , performance enhancement , nanotechnology , risk analysis (engineering) , computational biology , computer science , drug discovery , biochemical engineering , chemistry , medicine , biology , engineering , materials science , gene , biochemistry , transcription factor , physical medicine and rehabilitation , physical therapy
Detection of drug abuse in sports (doping) is a top priority for sport organizations due to a number of factors including enhancement of athletic performance and potential health risks to the athletes. Today, recombinant protein abuse is an evolving form of doping that poses a far more challenging target for analytical chemists. Herein we describe a SERS‐based method for the ultrasensitive detection and classification of closely related peptidic performance enhancers.