Abstract Many industries are complex when it comes to operation mode. In order to reduce the problems related to strong coupling in these processes, the search for the incorporation of artificial intelligence devices has shown an increasing trend in recent years. Due to this complexity and control in multivariable processes, diagnosis and fault monitoring in the processes have become increasingly difficult. Therefore, the application of these devices has achieved satisfactory results regarding the procedures performed with human operators. Independent Component Analysis (ICA) is a signal separation technique that is based on the use of higher order statistics to estimate each of the unknown sources, through observation of various mixtures generated from these sources. Although there are recent works on using the ICA in industrial processes, few studies have been made in cases involving distillation columns. This paper proposes a control strategy based on the ICA technique, which makes the control loops decoupled and hence the performance easier. Compared to the conventional method, the technique provided a great improvement in control performance. Control structures were implemented in Simulink/Matlab® in communication with a 1,2-dichloroethane (1,2-EDC) plant simulated in Aspen Plus DynamicsTM.

O perfil metabólito baseado na aplicação de análises multivariadas (análise de componentes principais, PCA) dos dados de espectrometria de massas com ionização electrospray (ESIMS) no modo positivo e de ressonância magnética nuclear (RMN) do ¹H de extratos brutos de espécies de Piper destacou algumas espécies caracterizadas pela produção de lignanas (P. solmsianum, P. truncatum e P. cernuum), neolignanas (P. regnellii) e cromenos (P. gaudichaudianum). Análises específicas em conjunto de espécies caracterizadas morfologicamente por apresentarem inflorescências pêndulas e globosas (P. caldense, P. carniconnectivum, P. bowiei e P. permucronatum) ou em espécies que produzem amidas indicaram o potencial mais significativo para tais análises como critério para estudos fitoquímicos posteriores. Análises intraespecíficas de plântulas das espécies P. solmsianum, P. regnellii e P. gaudichaudianum indicaram uma composição química nas folhas baseada na presença dos fenilpropanóides dilapiol e apiol, diferentemente do que produzem as plantas adultas. No caso das espécies que produzem amidas, a composição apresentou-se relativamente constante independentemente do estágio de desenvolvimento.

The metabolomic profiling based on the application of multivariate analysis (principal component analysis, PCA) of positive mode electrospray ionization mass spectrometric (ESIMS) and ¹H nuclear magnetic resonance (NMR) data of crude extracts highlighted some species characterized by lignans (P. solmsianum, P. truncatum and P. cernuum), neolignans (P. regnellii) and chromenes (P. gaudichaudianum). A specific analysis focusing on species having pendant and globular inflorescences (P. caldense, P. carniconnectivum, P. bowiei and P. permucronatum) or amides-producing species indicated higher potential of the methodology in determining similarities and establishing priorities for further phytochemical investigation. Such intraspecific analysis applied to analyzed seedling leaves of the P. solmsianum, P. regnellii and P. gaudichaudianum species revealed the production of dillapiole and apiole instead of lignans, neolignans or prenylated benzoic acid, produced by the adult leaves, respectively. In case of amides-producing species, a similar profile was observed regardless the developmental stage.

This work presents a new methodology for searching the present state of chemical evolution for different taxa, grouping five classes of secondary metabolites. Ocurrences of 10370 natural products isolated from Asteraceae were used to exemplify the method. Relationships among tribes are discussed.