Abstract Introduction: The increase in the incidence of pancreatic and biliary cancers has attracted the search for methods of early detection of diseases and biomarkers. The authors propose to analyze new findings on the association between microbiota and Pancreatic Ductal Adenocarcinoma (PDAC) or Cholangiocarcinoma (CCA). Methods: This systematic review was carried out according to the items of Preferred Reports for Systematic Reviews and Protocol Meta-Analysis (PRISMA-P). This study was registered by the Prospective Register of Systematic Reviews (PROSPERO), identification code CRD42020192748 before the review was carried out. Articles were selected from the PUBMED, EMBASE, and Cochrane databases. Results: Most studies (86.67%) used 16s rRNA as a sequencing method. The main comorbidities found were diabetes mellitus, systemic arterial hypertension, and dyslipidemia. Many studies were limited by the small number of participants, but the biases were mostly low. There was very little concordance about the composition of the microbiome of different sites, for both case and control groups when compared to other studies’ results. Bile sample analysis was the one with a greater agreement between studies, as three out of four studies found Escherichia in cases of CCA. Conclusion: There was great disagreement in the characterization of both the microbiota of cases and control groups. Studies are still scarce, making it difficult to adequately assess the data in this regard. It was not possible to specify any marker or to associate any genus of microbiota bacteria with PDAC or CCA.

Over the past few years, metabolomics has been employed in a broad range of applications in different research fields. Microbial metabolomics has been applied in several microbiological areas, such as identification of microorganisms, cell mutations, functional gene approach, identification of unique metabolic pathways and microbial engineering, leading to a better understanding of the global metabolism and metabolic regulation of certain systems. Metabolites produced by microorganisms constitute a large promising group with diverse applications; however, most of these systems are still unknown and underexplored. In this context, the overall analysis of metabolites involved in a biological system can be used to discover potential biomarkers or specific metabolic changes due to a biological phenomenon studied. In this sense, this review aims to understand the main challenges faced by each step of the workflow in the metabolic analysis of microorganisms and how these difficulties have been overcome. A critical analysis of the articles published within the last five years will be accomplished in this paper to understand how these studies have contributed to the microbial metabolomics research. Moreover, major trends observed in this area will be highlighted here in order to guide readers interested in microbial metabolomics in their future researches.

Comprehensive two-dimensional gas chromatography (GC×GC) was used in this work in order to reveal and identify minor compounds of several raw materials in biodiesel samples, which are not detected by conventional GC analysis. Multiway principal component analysis (MPCA) of the chromatographic profile allowed to identify compounds as C15:1n-3, C18:2n-6, C20:1n-6, C20:3n-3, C20:3n-6, C20:4n-6 C20:5n-3, C21:1n-6, C22:1n-9, C23:1n-9, C24:1n-9 multi-unsaturated which were useful tracers to discriminate between biodiesel samples. In this way, the separation power of GC×GC combined with the MPCA algorithm proved to be a valuable strategy for biodiesel samples classification, allowing identification and providing additional compounds of the commonly known as chemical profile of biodiesel samples.

Since their original discovery in 1914, ionic liquids (IL) have been widely examined and explored in chemistry due to their unique physical and chemical properties. Ionic liquids are collectively known as organic salts and have melting points of 100 °C or under. The molten salts most employed in analytical chemistry, including gas chromatography (GC), consist of an organic cation paired with an organic or inorganic anion. This class of materials exhibits negligible vapor pressure and may have their properties (e.g.thermal stability and selectivity) structurally tuned by imparting different moieties to the cation/anion. Currently, there are an estimated 1018possible combinations of IL. In this context, the prospection of highly selective IL-based stationary phases for gas-liquid chromatography has enabled high peak capacity and efficient separations of many critical pairs in complex samples. In this review, we present and discuss fundamental characteristics of ionic liquids and introduce important solvation models for gas-liquid systems. In addition, recent advances and applications of IL in conventional and multidimensional gas chromatography are outlined.

The constant evolution of science and the growing demand for new technologies have led to new techniques in instrumentation that can improve detection, separation, resolution, and peak capacity. Comprehensive two-dimensional liquid chromatography (LC×LC) is presented as a powerful tool in complex sample analyses. During an analysis, a sample is subjected to two independent separation mechanisms that are combined, resulting in increased resolving power. For appropriate application of LC×LC, understanding the influence of parameters that require optimization is necessary. The main purpose of optimization is to predict the combination of stationary phases, separation conditions, and instrumental requirements to obtain the best separation performance. This review discusses theoretical, intrumental, and chemometric aspects of LC×LC and focuses on its applications in foods. It aims to provide a clear understanding of the aspects that can be used as strategies in the optimization of this analytical method.

Neste trabalho, foram estudados os perfis cromatográficos dos compostos voláteis de 21 amostras de cafés comerciais brasileiros submetidos a diferentes processos industriais, i.e., descafeinados e com diferentes graus de torra (médio e extraforte). Os voláteis foram coletados por microextração em fase sólida (HS-SPME) e analisados por GC-FID e GC-MS. As matrizes de dados cromatográficos (perfis) obtidas, a partir dessas análises, foram exploradas por análise de componentes principais (PCA) e análise discriminante por quadrados mínimos parciais (PLS-DA). Inicialmente, os dados cromatográficos foram alinhados utilizando-se o algorítimo correlation optimized warping (COW). A PCA demonstrou a diferenciação dos cafés descafeinados em relação às outras classes de café, com ambas as fibras de SPME utilizadas. Essa separação, provavelmente, ocorreu em razão do desaparecimento de algumas espécies precursoras de voláteis durante o processo de descafeinação, tal como sacarose. Os modelos PLS-DA, para ambas as fibras testadas, PDMS/DVB e CX/PDMS, classificaram corretamente 100% das amostras, de acordo com o grau de torra (médio e extraforte); a principal diferença entre as classes foi a diferença de concentração de alguns compostos voláteis, tais como 2-metilfurano, 2-metilbutanal, 2,3-pentanodiona, pirazina, 2-pirrol carboxaldeído, furfural e 2-furan metanol.

The fingerprints of the volatile compounds of 21 commercial Brazilian coffee samples submitted to different industrial processing i.e. decaffeinated or different roasting degrees (traditional and dark) were studied. The volatiles were collected by headspace solid phase microextraction (HS-SPME) and analyzed by GC-FID and GC-MS. The chromatographic data matrices (fingerprints) obtained were explored by the principal component analysis (PCA) and partial least squares - discriminative analysis (PLS-DA). Initially the chromatographic profiles were aligned by the algorithm correlation optimized warping (COW). The PCA showed the discrimination of the decaffeinated coffees from the others with both the SPME fibres used. This separation probably occurred due to the loss of some volatile precursors during the decaffeination process, such as sucrose. For both the fibres tested, PDMS/DVB and CX / PDMS SPME, the PLS-DA models correctly classified 100% of the samples according to their roasting degree: (medium and dark), the main differences being the concentrations of some of the volatile compounds such as 2-methyl furan, 2-methylbutanal, 2,3-pentanedione, pyrazine, 2-carboxyaldehyde pyrrole, furfural and 2-furanmethanol.

Neste trabalho, um método para a diferenciação de gasolinas de acordo com a sua origem geográfica é proposto. Cromatografia gasosa bidimensional abrangente com detecção por ionização em chama (GC×GC-FID) em conjunto com a análise multivariada foi utilizada para diferenciar amostras de gasolina brasileira de amostras oriundas da Venezuela. A análise de fatores paralelos (PARAFAC) foi utilizada no reconhecimento de padrões dos cromatogramas GC×GC-FID e foi aplicada com êxito na diferenciação das amostras de gasolina. Através da análise dos gráficos de escores e pesos gerados pela análise PARAFAC, foi possível determinar que eluatos de média a alta volatilidade, tanto alifáticos quanto aromáticos, foram responsáveis por essa diferenciação.

In this work, a method for differentiation of gasoline according to its geographical origin is presented. Comprehensive two-dimensional gas chromatography-flame ionization detection (GC×GC-FID) combined with multivariate analysis was used to differentiate Brazilian and Venezuelan gasoline samples. Pattern recognition of the GC×GC-FID chromatograms was performed by parallel factor analysis (PARAFAC) and it was successfully applied for the differentiation of these gasoline samples. Eluates with medium to high volatility, both aliphatic and aromatic, were responsible for this differentiation, based on the inspection of the score and loading graphs generated by PARAFAC.

The convenience of the multivariate optimization of SPME procedures through ANOVA calculated using Doehlert designs has been demonstrated for twelve PCBs in the complex matrix of milk. For this study, the main parameters of the extraction were selected and valued through univariate and multivariate optimization. In addition, the analysis of variance allowed identification of the statistically significant variables in this model: high temperature (95 ºC) and ionic strength (36% m/v) proved significant for all the PCBs while intermediate time (70 min) and low methanol concentration (5% v/v) also contributed to the extraction of the majority of these PCBs.

Além das brassicaceas associadas à solarização do solo, novos materiais vegetais como a mandioca e a mamona têm apresentado potencial no controle de fitopatógenos de solo. Assim, objetivou-se verificar os efeitos da incorporação e decomposição de parte aérea de brócolis, mamona e mandioca brava e mansa, associadas à solarização, em conjuntos de microcosmos, sob condições de ambiente controlado, na sobrevivência das estruturas de resistência de Fusarium oxysporum f. sp. lycopersici Raça 2, Macrophomina phaseolina, Rhizoctonia solani AG-4 HGI e Sclerotium rolfsii; e identificar e apontar o(s) volátil(eis) emanado(s) pela decomposição dos materiais, que poderia(m) estar correlacionado(s) com a inativação dos fitopatógenos. Quanto à sobrevivência dos patógenos, quatro ensaios idênticos foram instalados nos microcosmos, com quatro períodos de exposição independentes (7, 14, 21 e 28 dias). A identificação dos voláteis contou com ensaios realizados sob as mesmas condições da sobrevivência, mas em frascos âmbar e com cromatografia gasosa com detectores por espectrometria de massas (GC-MS) e por ionização em chama (GC-FID), utilizando a técnica de Microextração em Fase Sólida - SPME. Os tratamentos solo+materiais vegetais, ao longo dos períodos testados, reduziram a sobrevivência das estruturas de resistência de todos os fungos. No geral, destacaram-se o brócolis e a mandioca brava, além da mandioca mansa para S. rolfsii. Os voláteis identificados foram oriundos da decomposição de brócolis, mamona e mandioca mansa. Foram identificados 26, 37 e 29 compostos voláteis para brócolis, mamona e mandioca mansa, respectivamente. Correlações positivas e negativas foram observadas entre alguns voláteis e a média dos compostos com a sobrevivência das estruturas de resistência dos fitopatogênicos.

In addition to Brassicaceae species associated with soil solarization, new materials from plants such as cassava and castor bean have shown potential to control soil phytopathogens. Thus, the present study aimed to verify the effects of incorporation and decomposition of shoot of broccoli, castor bean, and bitter and sweet cassava, associated with solarization in microcosm sets under controlled environment conditions, on the survival of resistance structures from Fusarium oxysporum f. sp. lycopersici Race 2, Macrophomina phaseolina, Rhizoctonia solani AG-4 HGI and Sclerotium rolfsii; and to identify volatile compound(s) released by the decomposition of materials, which could be related to phytopathogen inactivation. As to pathogen survival, four identical assays were installed in the microcosms, with four independent exposure periods (7, 14, 21 and 28 days). To identify volatile compounds, assays were performed under the same survival conditions, but using amber glass bottles and gas chromatography with mass spectrometry (GC-MS) and flame ionization detectors (GC-FID), and adopting the Solid-Phase Microextraction Technique - SPME. The treatments soil+plant materials, over the tested periods, reduced the survival of resistance structures for all fungi. In general, expressive results were found for broccoli and bitter cassava, as well as sweet cassava against S. rolfsii. The identified volatile compounds were from broccoli, castor bean and sweet cassava decomposition. The number of volatile compounds identified for broccoli, castor bean and sweet cassava were 26, 37 and 29, respectively. Positive and negative correlations were detected among some volatile compounds and their mean values and the survival of resistance structures from phytopathogens.

Em vista da eficiência comprovada da biorremediação na degradação de compostos tóxicos ao ser humano, como o benzeno, tolueno, etilbenzeno e xilenos (BTEX), diversas empresas, principalmente as relacionadas com consultorias e remediação ambiental, têm despertado grandes interesses pela implantação da biorremediação como opção para a reabilitação de áreas contaminadas. Em países desenvolvidos, como os Estados Unidos, Canadá e vários países da Europa, a técnica bioquímica de remediação vem sendo amplamente utilizada em trabalhos que se baseiam, por exemplo, no tratamento de solos contaminados por hidrocarbonetos de petróleo. Porém, ao contrário do que se tem notado nesses países, no Brasil, os projetos de biorremediação ainda estão no campo da teoria, com poucos casos práticos, embora exista uma probabilidade real de expansão. A esse despeito, uma das maiores pertinências dessa revisão é elucidar as vantagens que essa técnica pode oferecer quando é utilizada para a degradação de compostos, como os BTEX, em solos tipicamente brasileiros, cujas características físico-químicas contribuem, em muito, para a degradação desses contaminantes. Nessa conjuntura, pesquisas revelam que os fatores ambientais (como teores de umidade e oxigênio) e a disponibilidade de nutrientes nos solos, além das condições climáticas do Brasil, são bastante adequadas para o emprego dessa técnica. Isso pode trazer como vantagens, ótima relação custo-benefício e maior eficiência na degradação de compostos tóxicos e recalcitrantes frente à maioria das técnicas convencionais de remediação. Em síntese, a presente revisão busca enfocar o estado da arte das técnicas de biorremediação de contaminantes em solos, apresentando as mais atuais e recentes aplicações e inovações, tanto no âmbito nacional quanto no internacional.

In view of the proven efficiency of bioremediation in the degradation of compounds toxic to humans, such as benzene, toluene, ethylbenzene and xylenes (BTEX), several companies, especially those related to remediation and environmental monitoring, have shown enormous interest in the deployment of bioremediation as an option for the rehabilitation of contaminated areas. In developed countries such as the United States, Canada and several European countries, these biochemical remediation techniques have been widely used in work that is based, for example, on the treatment of soil contaminated by petroleum hydrocarbons. However, contrary to what has been done in these countries, in Brazil, bioremediation projects are still mainly theoretical, with few practical cases, but there is a real likelihood of expansion. The more important aim of this review is to indicate the advantages that this technique can offer when it is used for the degradation of compounds such as BTEX in typical Brazilian soils, whose physico-chemical characteristics contribute to the degradation of contaminants. Research shows that environmental factors (such as moisture and oxygen levels) and the availability of soil nutrients, in addition to the climatic conditions in Brazil, are quite suitable for the employment of this technique. They may pose, as an advantage, a favorable cost/benefit ratio and the opportunity for greater efficiency in the degradation of toxic and recalcitrant compounds compared to the majority of conventional remediation techniques. In summary, this review focuses on the state of the art of bioremediation techniques of contaminants in soils, presenting the most current and recent applications and innovations, as reported in the national and international media.

In this work, the volatile chromatographic profiles of roasted Arabica coffees, previously analyzed for their sensorial attributes, were explored by principal component analysis. The volatile extraction technique used was the solid phase microextraction. The correlation optimized warping algorithm was used to align the gas chromatographic profiles. Fifty four compounds were found to be related to the sensorial attributes investigated. The volatiles pyrrole, 1-methyl-pyrrole, cyclopentanone, dihydro-2-methyl-3-furanone, furfural, 2-ethyl-5-methyl-pyrazine, 2-etenyl-n-methyl-pyrazine, 5-methyl-2-propionyl-furan compounds were important for the differentiation of coffee beverage according to the flavour, cleanliness and overall quality. Two figures of merit, sensitivity and specificity (or selectivity), were used to interpret the sensory attributes studied.

Um método para a determinação de bifenilas policloradas (PCB) no leite materno foi desenvolvido e aplicado para avaliar a contaminação de amostras procedentes de quatro cidades brasileiras. Os PCB foram extraídos através da Microextração de Fase Sólida e analisados por Cromatografia Gasosa com Detector por Captura de Elétrons. As figuras de mérito estudadas foram linearidade (1 a 16 µg L-1, r > 0,9884), precisão (RSD < 12%, n = 5), recuperação (71 a 127%) e limite de quantificação (entre 0,45 e 2,42 µg L-1). A análise das vinte amostras revelou níveis de PCB acima de 11,8 µg L-1 na região metropolitana de São Paulo, sendo o PCB 153 encontrado em todas essas amostras. Em Vitória/ES e Florianópolis/SC foram encontrados PCB em 100 e 60% das amostras, respectivamente. Nenhuma contaminação foi detectada nas amostras do Rio Branco/Acre. Sendo assim, uma alta correlação entre a contaminação dessas amostras e o nível de industrialização da região foi encontrada.

A method for the determination of polychlorinated biphenyls (PCB) in breast milk was developed and applied to evaluate the contamination of samples that proceed from four Brazilian cities. PCB were extracted by Solid-Phase Microextraction and analyzed by Gas Chromatography with Electron Capture Detector. The figures of merit studied were linearity (to 16 µg L-1, r > 0.9884), precision (RSD < 12%, n = 5), recovery (71 to 127%) and limit of quantification (between 0.45 and 2.42 µg L-1). The analysis of the twenty samples revealed PCB levels above 11.8 µg L-1 in São Paulo metropolitan area being the PCB 153 found in all these samples. In Vitória/ES and Florianopolis/SC were found PCB in 100 and 60% of the samples, respectively. No contamination was detected in the samples from Rio Branco/AC. Thus, a high correlation between the contamination of these samples and the level of industrialization of the region was found.

This paper presents the fundamental principles, instrumentation and selected applications of comprehensive two-dimensional gas chromatography (GC × GC). In this technique, introduced in 1991, two capillary columns are coupled and proper modulating interfaces continuously collect the eluate from the first column, transferring it to the second column. The result is a geometric increment in the chromatographic resolution, ensuring separation of extremely complex mixtures in time periods shorter or comparable to those of analysis using conventional gas chromatography and with better detectabilities and sensitivities.

Foi desenvolvida uma metodologia para quantificar compostos dialquilmercúricos usando Microextração em Fase Sólida em Headspace (HS-SPME) e Cromatografia Gasosa com Detecção por Emissão Atômica (GC-AED). Os parâmetros para detecção de Hg foram otimizados usando planejamento fatorial e superfícies de resposta. Experimentos univariados foram empregados para determinar as condições de HS-SPME; as melhores fibras foram 75 μm de Carboxen / PDMS e 65 μm de PDMS / DVB. Porém, as primeiras foram descartadas pela extensa degradação térmica dos analitos na dessorção. O procedimento otimizado permite detectar os analitos em amostras aquosas com limite de detecção de 1,7 e 0,2 ng L-1 para dimetil- and dietilmercúrio, respectivamente. As curvas analíticas são lineares nas faixas de 36 a 180 ng L-1 (Me2Hg) e 38 a 190 ng L-1 (Et2Hg), com limite de quantificação de 38 ng L-1 (Me2Hg) e 29 ng L-1 (Et2Hg) e coeficientes de correlação de 0,998 para Me2Hg e 0,999 para Et2Hg.

A methodology to quantify dialkylmercury compounds using Headspace Solid Phase Microextraction (HS-SPME) and Gas Chromatography with Atomic Emission Detection (GC-AED) was developed. The parameters for Hg detection were optimized by factorial design and response surfaces. Univariate experiments were employed to determine the HS-SPME conditions; 75 μm Carboxen / PDMS and 65 μm PDMS / DVB were the best fibers. However, the former was excluded from further experiments due to extensive thermal degradation of analytes during desorption. The optimized procedure allowed detection of the analytes from aqueous samples with LOD of 1.7 ng L-1 and 0.2 ng L-1 for dimethyl- and diethylmercury, respectively. The analytical curves are linear in the range from 36 to 180 ng L-1 (Me2Hg) and 38 to 190 ng L-1 (Et2Hg), with LOQ of 38 ng L-1 (Me2Hg) and 29 ng L-1 (Et2Hg) and correlation coefficients of 0.998 for Me2Hg and 0.999 for Et2Hg.

Sílica organicamente modificada e molecularmente impressa foi preparada através de um procedimento sol-gel simples, e avaliada como sorvente específico para extração em fase sólida (Solid Phase Extraction, SPE) de fenobarbital em amostras aquosas e forenses. As propriedades analíticas dessa sílica molecularmente impressa (MIS, molecularly imprinted silica) foram inicialmente avaliadas e o material determinado como específico para as espécies-alvo: o fator de impressão IF, medido como a razão entre o pico do fenobarbital em cromatogramas de MIS e NIS (sílica não-impressa) foi estimado como 58. Este valor é consideravelmente maior que aquele apresentado normalmente para sorventes de impressão convencional baseados em metacrilatos e sugere que interações não-específicas analito/sorvente são insignificantes no MIS. O material foi aplicado no isolamento de fenobarbital de amostras aquosas e plasma; limites de detecção de 10 e 62 µg mL-1, respectivamente, foram encontrados para essas amostras.

A molecularly imprinted organically modified silica was prepared through a simple sol-gel procedure, and evaluated as specific sorbent for solid-phase extraction (SPE) of phenobarbital from aqueous and forensic samples. The analytical properties of the molecularly imprinted silica (MIS, non-imprinted sílica) were initially evaluated and the MIS was found to be specific towards the target species: the imprinting factor IF, measured as the ratio between phenobarbital peak areas in the MIS and NIS chromatograms, was estimated as 58. This value is considerably higher than those usually found for conventional methacrylate-based molecularly imprinted sorbents and suggests that non-specific analyte/sorbent interactions are insignificant in the MIS. This material is applied to the isolation of phenobarbital from aqueous samples and plasma; detection limit of 10 and 62 µg mL-1 was achieved for the former samples, respectively.