Otimização do processo não invasivo e não destrutivo de extração e análise de metabólitos voláteis de mamão papaia por SPME-GC-MS.

• Autor(a) principal: TERRA, L. R.
• Data de Publicação: 2020
• Outros Autores: FERREIRA, M. M. C., TERAO, D., QUEIROZ, S. C. do N. de
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
• Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125493; http://dx.doi.org/10.21577/0100-4042.20170611
• topic: Central composite design; Response surface methodology Metabolomics; Fruit; Mamão; Análise Química; Carica Papaya; Microrganismo; Cromatografia Gasosa; Papayas; Volatile organic compounds; Chemical analysis; Gas chromatography; Microbial detection

Abstract: The analysis of volatiles is an alternative in the routine of quality control of fruits, since the volatile metabolites can change in the presence of microorganisms. A well-established method for extracting volatiles is the solid phase microextraction (SPME). This work aims to define some parameters (fiber coating, conditioning time and fiber exposure time) for an effective extraction. Whole papaya was inserted into a hermetically closed glass bottle and the system was left in conditioning for the volatiles accumulation. Then, extraction by SPME and subsequent desorption in a gas chromatograph was performed. Two fibers were evaluated: a 100 µm polydimethylsiloxane (PDMS) and a 65 µm polydimethylsiloxane/divinylbenzene (PDMS/DVB). The PDMS/DVB fiber extracted the highest number of volatiles. Central composite design (CCD) was performed to assess the effect of papaya conditioning time and the fiber exposure time on the response: number of detectable peaks. Both variables studied and their interactions were significant for the response. ANOVA showed that the quadratic terms and the lack of fit were not significant (p <0.05). A conditioning time of 10 min and exposure time of 30 min was sufficient for the detection of more than 100 compounds.