Fourier transform infrared microspectroscopy as a dynamic tool in rapid identification of clinically and hospital relevant microorganisms

Poster Session

Fourier transform infrared microspectroscopy as a dynamic tool in rapid identification of clinically and hospital relevant microorganisms Geraldo Magno Alves de Abreu1, Inglid Fontoura de Silva1, Ana Carla de Almeida Silva1, Sonia Khouri2, Leandro Raniero1, Kumiko Koibuchi Sakane1, Maria Angélica Gargione Cardoso1, Airton Abrahão Martin1*
Laboratório de Espectroscopia Vibracional Biomédica, Instituto de Pesquisa & Desenvolvimento 2 Núcleo de Estudos Farmacêuticos e Biomédicos *Corresponding author: [e-mail], Universidade do Vale do Paraíba, UniVaP Avenida Shishima Hifumi, 2911, São José dos Campos, CEP 12244-000 São Paulo, Brazil
Abstract:
1

Infectious diseases are one of the most frequent causes of mortality worldwide lagging only behind heart disease, stroke and cancer. In addition, they frequently occur in critically ill hospitalized patients, with commonly reported infections in places such as the bloodstream, urinary-tract, respiratory-tract, intra-abdominal sites, and surgical wounds. Consequences originate from this infections such as sepsis is estimated to increase, especially in the elderly patients, patients infected with microorganisms resistant to treatment, patients with weakened immune systems (AIDS patients), or those undergoing long, high-risk surgery [1,2]. Notwithstanding time required for identification of pathogens is an important factor in mortality rates and in clinical practice. However, traditional methods and procedures for the identification of the infectious agent can take days, thereby causing serious complications in patients until the preliminary diagnosis is either confirmed or refuted. Infrared spectroscopy is a method that provides a biochemical characterization of the cellular components of the sample, such as proteins, nucleic acids, carbohydrates, lipids, and cellular components. Thus, small variations in the different biochemical microorganisms can be used for identification. Many studies with