Estratégias de cultivo para produção dos plásticos biodegradáveis poli(3-Hidroxibutirato) e poli(3-hidroxibutirato-co-3-hidroxivalerato) por bactérias

Polyhydroxyalkanoates (PHAs) are carbon and energy storage materials that are accumulated as intracellular granules in a variety of microorganisms during unbalanced growth. PHAs have drawn attention due to their properties similar to conventional plastics and complete biodegradability. They can be used for food and cosmetics packaging, and in medicine and agriculture. However, their applicability is reduced because of their high production cost compared to conventional plastics. An overview on production strategies of poly(3-hydroxybutyrate) and poly(3-hydroxybutyrate-co-3-hydroxyvalerate) aiming at reducing the production costs is presented.

Classificação de água de coco processada e natural por meio de HCA, PCA e teores de íons metálicos determinados por ICP OES

Inductively Coupled Plasma Optical Emission Spectrometry was used to determine Ca, Mg, Mn, Fe, Zn and Cu in samples of processed and natural coconut water. The sample preparation consisted in a filtration step followed by a dilution. The analysis was made employing optimized instrumental parameters and the results were evaluated using methods of Pattern Recognition. The data showed common concentration values for the analytes present in processed and natural samples. Principal Component Analysis (PCA) and Hierarchical Cluster Analysis (HCA) indicated that the samples of different kinds were statistically different when the concentrations of all the analytes were considered simultaneously.

LS-SVM: uma nova ferramenta quimiométrica para regressão multivariada. Comparação de modelos de regressão LS-SVM e PLS na quantificação de adulterantes em leite em pó empregando NIR

Least-squares support vector machines (LS-SVM) were used as an alternative multivariate calibration method for the simultaneous quantification of some common adulterants found in powdered milk samples, using near-infrared spectroscopy. Excellent models were built using LS-SVM for determining R², RMSECV and RMSEP values. LS-SVMs show superior performance for quantifying starch, whey and sucrose in powdered milk samples in relation to PLSR. This study shows that it is possible to determine precisely the amount of one and two common adulterants simultaneously in powdered milk samples using LS-SVM and NIR spectra.

Perfil Clínico de Apego (PCA): Elaboración de un sistema de categorías para la evaluación del apego

A partir de la teoría de Bowlby y de los estilos de apego propuestos por Bartholomew y Horowitz, se desarrolla el Perfil Clínico de Apego-narrativas (PCA-n), un sistema de observación para evaluar el apego a partir de las narrativas de los y las pacientes. En el Estudio 1, se construye una primera versión del instrumento (PCAv1). La consistencia interna resulta adecuada en la evaluación del apego seguro y evitativo, pero insuficiente en el caso del apego preocupado y temeroso. En el Estudio 2 se introducen cambios en el instrumento (PCA-n), que finalmente consta de cuatro categorías: disponibilidad-confianza, autonomía en la relación, regulación de las emociones y revelación de las emociones. Aplicado a las narrativas de dos pacientes, se obtiene un nivel de acuerdo entre evaluadores en la identificación de las narrativas significativas superior al 75%. También resulta adecuada la fiabilidad del PCA-n, ya que la correlación promedio en la identificación de las categorías fue .78 en el caso del paciente 1, y .88 en el paciente 2.Se discuten las aplicaciones posibles del PCA-n, sus ventajas y limitaciones, así como líneas de investigación futuras.

Advanced chemometric methods: Applicability on industrial data

Recent years have produced great advances in the instrumentation technology. The amount of available data has been increasing due to the simplicity, speed and accuracy of current spectroscopic instruments. Most of these data are, however, meaningless without a proper analysis. This has been one of the reasons for the overgrowing success of multivariate handling of such data. Industrial data is commonly not designed data; in other words, there is no exact experimental design, but rather the data have been collected as a routine procedure during an industrial process. This makes certain demands on the multivariate modeling, as the selection of samples and variables can have an enormous effect. Common approaches in the modeling of industrial data are PCA (principal component analysis) and PLS (projection to latent structures or partial least squares) but there are also other methods that should be considered. The more advanced methods include multi block modeling and nonlinear modeling. In this thesis it is shown that the results of data analysis vary according to the modeling approach used, thus making the selection of the modeling approach dependent on the purpose of the model. If the model is intended to provide accurate predictions, the approach should be different than in the case where the purpose of modeling is mostly to obtain information about the variables and the process. For industrial applicability it is essential that the methods are robust and sufficiently simple to apply. In this way the methods and the results can be compared and an approach selected that is suitable for the intended purpose. Differences in data analysis methods are compared with data from different fields of industry in this thesis. In the first two papers, the multi block method is considered for data originating from the oil and fertilizer industries. The results are compared to those from PLS and priority PLS. The third paper considers applicability of multivariate models to process control for a reactive crystallization process. In the fourth paper, nonlinear modeling is examined with a data set from the oil industry. The response has a nonlinear relation to the descriptor matrix, and the results are compared between linear modeling, polynomial PLS and nonlinear modeling using nonlinear score vectors.

Pèls a la llengua

Si sou calbs i voleu deixar de ser-ho, o si la vostra parella és calba i enyoreu aquells cabells llargs i espessos que lluïa a l'època hippie, esteu de sort. Però aneu alerta, perquè si sou d'aquelles persones que els agrada dir que no té pèls a la llengua, potser ara us en sortiran. O almenys això és el que hom pot pensar després de sentir una de les darreres notícies de ciència de gran ressò mediàtic: s'ha aconseguit que a un ratolí modificat genèticament per no tenir cap pèl li'n creixin. Els artífexs han estat els membres d'un equip de recerca de l'Institut Kennedy Krieger de la Johns Hopkins University, dels EUA, encapçalat per Catherine Thompson. I esclar, molts ja s'imaginen lluint llargues i espesses cabelleres on ara només tenen lluentors [...].

Happaman hydrometallurgisen PLS-liuoksen puhdistaminen kiintoaineesta kalvosuodatustekniikalla

Tässä diplomityössä tutkittiin keraamisten mikrosuodatuskalvojen soveltuvuutta kiintoaineen erottamiseen happamasta PLS-liuoksesta eri huokoskoon omaavilla mikrosuodatuskalvoilla. Koelaitteistolla suodatettiin puhdasta vettä, kaoliinipitoista vesiliuosta sekä hapanta kuparia, kalsiumia ja kaoliinia sisältävää malliliuosta. Koeajojen tavoitteena oli saada tietoa permeaattivuon maksimimäärästä eri mikrosuodatuskalvoilla sekä tuotteen puhtaudesta. Näiden lisäksi saatiin tietoa kalvojen likaantumisesta ajon aikana. Teoriaosassa käsiteltiin yleisesti kalvosuodatusta, esitettiin yleiset kalvotekniset menetelmät ja sovellukset sekä käytiin läpi tutkimuksia samankaltaisiin kalvoihin ja sovelluksiin liittyen. Lisäksi teoriaosuudessa pohdittiin mahdollisuutta käyttää myös muita, kuin putkimoduulisia mikrosuodatuskalvoja. Myös työhön oleellisena taustana kuuluvaa hydrometallurgiaa tarkasteltiin teoreettiselta kannalta. Puhtaan veden suodatuskoetuloksista havaittiin, että kaikki kalvot jäivät selvästi valmistajan ilmoittamista arvoista. 1,0 µm CoMetas CoMem® kalvon teoreettinen vesivuo on 10 m3/(h bar) ja 3,0 µm CoMetas CoMem® teoreettinen vesivuo on yli 50 m3/(h bar). Näistä parhaimman vuon arvon sai 1,0 µm CoMetas CoMem® mikrosuodatuskalvo. Tämä kalvo oli paras sekä veden suodatuksissa että malliliuoksella tehdyillä suodatuksilla. Malliliuoksella saavutettiin n. 2000 L/(m2 h) paineen ollessa 2,0 bar ja virtausnopeuden ollessa 4,4 m/s. Vastaavat vesiajon tulokset olivat n. 1100 L/(m2 h) paineen ollessa 1,0 bar ja virtausnopeuden 2,9 m/s. Kaikki kolme käytettyä kalvoa pidättivät kaoliiniliuoksen 81–100 %:sesti. Kuparipitoista malliliuosta suodatettaessa pystyttiin vastaavasti erottamaan 77–99 % kiintoaineesta. Koeajoissa kuitenkin havaittiin huomattava vuon arvojen putoaminen, joka johtui kalvon likaantumisesta. Huomioitavaa oli kuitenkin, että hapanta malliliuosta suodatettaessa permeaattivuon arvot olivat kaoliiniliuoksen suodatuksessa saatuja vastaavia arvoja korkeammat.

Classificação de refrigerantes através de análise de imagens e análise de componentes principais (PCA)

This paper describes an approach for the colour-based classification of RGB (red-green-blue) images, acquired using a common scanner, of commercial carbonated soft drinks. Mean histograms of image colour channels were evaluated for the PCA classification of 29 brands of Guaraná, Cola, and orange flavors. Loadings for principal component axes resulted in different patterns for sample grouping on score plots according to RGB histograms. pH, sorbic acid and sucrose measurements were also correlated to the analyzed brands through PCA score plots of the digitalized images.

Desarrollo de un modelo SIMCA para la clasificación de kerosinas mediante el empleo de la espectroscopía infrarroja

In the petroleum refining industry, the use of crude from several origins is frequent. This leads to a product of variable chemical composition during refining, hindering quality control. Therefore, it is important to develop classification models that help to better characterize those products. The objective of this study is to develop a SIMCA recognition pattern to classify kerosene using infrared spectroscopy data. The model permits to differentiate two kerosene groups with different chemical compositions, which was corroborated by mass spectrometry.

Avaliação da qualidade do corpo hídrico do rio Tibagi na região de Ponta Grossa utilizando análise de componentes principais (PCA)

The aim of this paper was to evaluate alterations in the quality of the water of the Tibagi River caused by the urban and industrial activities in the region of Ponta Grossa. The study involved the monitoring of physico-chemical and microbiological parameters of the water body, which were evaluated by a principal components analysis routine. Sample collections were carried out monthly during one year (October of 2005 to September of 2006), at 3 sampling points: upstream and downstream of the industrial district and downstream from the city of Ponta Grossa. The principal components analysis showed the effect of point sources associated with industrial activity, which contribute to the rise of total concentration of amoniacal nitrogen and the reduction of dissolved oxygen in the studied region.

Previsão das propriedades físicas do papel kraft por espectroscopia no infravermelho próximo (NIR) e regressão por mínimos quadrados parciais (PLS)

The main objective of the present work is represented by the characterization of the physical properties of industrial kraft paper (i.e. transversal and longitudinal tear resistance, transversal traction resistance, bursting or crack resistance, longitudinal and transversal compression resistance (SCT (Compressive Strength Tester) and compression resistance (RCT-Ring Crush Test)) by near infrared spectroscopy associated to partial least squares regression. Several multivariate models were developed, many of them with high prevision capacity. In general, low prevision errors were observed and regression coefficients that are comparable with those provided by conventional standard methodologies.

Efeito da aplicação de nitrato na redução biogênica de sulfeto sob diferentes concentrações iniciais de bactérias redutoras de nitrato e sulfato

The effect of sodium nitrate application in the reduction of biogenic sulphide was evaluated through a 2k complete factorial design, using as variable response the production of sulfide at intervals of incubation of 7, 14 and 28 days. The most effective condition for reducing the sulphide production (final concentrations from 0.4 to 1.6 mg S2- L-1) was obtained with an initial population of sulphate-reducing bacteria and nitrate-reducing bacteria of 10(4) MPN mL-1 and 427.5 mg L-1 nitrate. The results also suggested that the applications of nitrate to control the process of souring should follow a continuous scheme.

Propriedades reológicas e efeito da adição de sal na viscosidade de exopolissacarídeos produzidos por bactérias do gênero Rhizobium

Viscosity of some polysaccharide solutions supports that these molecules can be applied in food sectors. Four exopolysaccharides (R1, R2, R3, R4) produced by different Rhizobium strains were selected. Sugar composition and differences in the uronic acid contents suggests that chemical structure of these molecules can vary when different culture conditions and strains are analyzed. The Power Law was the rheological model used to represent the experimental data of shear stress versus shear rate. All exopolysaccharides showed non-Newtonian behavior, with pseudoplastic characteristics. R1, R2 and R4 showed a slight increase in viscosity in the presence of 0,2 M NaCl.

Application of GA-PLS and GA-KPLS calculations for the prediction of the retention indices of essential oils

Genetic algorithm and partial least square (GA-PLS) and kernel PLS (GA-KPLS) techniques were used to investigate the correlation between retention indices (RI) and descriptors for 117 diverse compounds in essential oils from 5 Pimpinella species gathered from central Turkey which were obtained by gas chromatography and gas chromatography-mass spectrometry. The square correlation coefficient leave-group-out cross validation (LGO-CV) (Q²) between experimental and predicted RI for training set by GA-PLS and GA-KPLS was 0.940 and 0.963, respectively. This indicates that GA-KPLS can be used as an alternative modeling tool for quantitative structure-retention relationship (QSRR) studies.

Classificação de biodiesel na região do visível

Classification of biodiesel by oilseed type using pattern recognition techniques is described. The spectra of the samples were performed in the Visible region, requiring noise removal by use of a first derivative by the Savitzky-Golay method, employing a second-order polynomial and a window of 21 points. The characterization of biodiesel was performed using HCA, PCA and SIMCA. For HCA and PCA methods, one can observe the separation of each group of biodiesel in a spectral region of 405-500 nm. SIMCA model was used in a test group composed of 28 spectral measurements and no errors are obtained.