Microwave-assisted chemical pre-treatment of waste sorghum leaves: Process optimization and development of an intelligent model for determination of volatile compound fractions.
Bioresour Technol
; 224: 590-600, 2017 Jan.
Article
em En
| MEDLINE
| ID: mdl-27810249
ABSTRACT
This study reports the profiling of volatile compounds generated during microwave-assisted chemical pre-treatment of sorghum leaves. Compounds including acetic acid (0-186.26ng/g SL), furfural (0-240.80ng/g SL), 5-hydroxymethylfurfural (HMF) (0-19.20ng/g SL) and phenol (0-7.76ng/g SL) were detected. The reducing sugar production was optimized. An intelligent model based on Artificial Neural Networks (ANNs) was developed and validated to predict a profile of 21 volatile compounds under novel pre-treatment conditions. This model gave R2-values of up to 0.93. Knowledge extraction revealed furfural and phenol exhibited high sensitivity to acid- and alkali concentration and SL ratio, while phenol showed high sensitivity to microwave duration and intensity. Furthermore, furfural production was majorly dependent on acid concentration and fit a dosage-response relationship model with a 2.5% HCl threshold. Significant non-linearities were observed between pre-treatment conditions and the profile of various compounds. This tool reduces analytical costs through virtual analytical instrumentation, improving process economics.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Métodos Terapêuticos e Terapias MTCI:
Terapias_biologicas
/
Aromoterapia
Assunto principal:
Resíduos
/
Folhas de Planta
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Sorghum
/
Compostos Orgânicos Voláteis
/
Micro-Ondas
Tipo de estudo:
Prognostic_studies
Idioma:
En
Revista:
Bioresour Technol
Ano de publicação:
2017
Tipo de documento:
Article
País de afiliação:
África do Sul