Characterization of volatile substances in apples from rosaceae family by headspace solid‐phase microextraction followed by GC‐qMS

The volatile composition of different apple varieties of Malus domestica Borkh. species from different geographic regions at Madeira Islands, namely Ponta do Pargo (PP), Porto Santo (PS), and Santo da Serra (SS) was established by headspace solid-phase microextraction (HS-SPME) procedure followed by GC-MS (GC-qMS) analysis. Significant parameters affecting sorption process such as fiber coating, extraction temperature,extractiontime,sampleamount,dilutionfactor,ionicstrength,anddesorption time,wereoptimizedanddiscussed.TheSPMEfibercoatedwith50/30 lmdivinylbenzene/carboxen/PDMS (DVB/CAR/PDMS) afforded highest extraction efficiency of volatile compounds, providing the best sensitivity for the target volatiles, particularly whenthesampleswereextractedat508Cfor30 minwithconstantmagneticstirring. A qualitative and semi-quantitative analysis between the investigated apple species has been established. It was possible to identify about 100 of volatile compounds amongpulp(46,45,and39),peel(64,60,and64),andentirefruit(65,43,and50)inPP, PS,andSSapples,respectively.Ethylesters,terpenes,andhigheralcoholswerefound tobethemostrepresentativevolatiles. a-Farnesene,hexan-1-olandhexyl2-methylbutyratewerethecompoundsfoundinthevolatileprofileofstudiedappleswiththelargestGCarea,representing,onaverage,24.71,14.06,and10.80%ofthetotalvolatilefractionfromPP,PS,andSSapples.InPPentireapple,themostabundantcompoundsidentified were a-farnesene (30.49%), the unknown compound m/z (69, 101, 157) (21.82%) andhexylacetate(6.57%).RegardingPSentireapplethemajorcompoundswere a-farnesene(16.87%),estragole(15.43%),hexan-1-ol(10.94),andE-2-hexenal(10.67).a-Farnesene(30.3%),hexan-1-ol(18.90%),2-methylbutanoicacid(4.7%),andpentan-1-ol(4.6%) werealsofoundasSSentireapplevolatilespresentinahigherrelativecontent.Principal component analysis (PCA) of the results clustered the apples into three groups according to geographic origin. Linear discriminant analysis (LDA) was performed in order to detect the volatile compounds able to differentiate the three kinds of apples investigated. The most important contributions to the differentiation of the PP, PS, and SS apples were ethyl hexanoate, hexyl 2-methylbutyrate, E,E-2,4-heptadienal, pethylstyrene,andE-2-hexenal.

Detecção e caracterização de biomarcadores voláteis em indivíduos com patologias oncológicas

Com a realização deste trabalho, pretendeu-se traçar o perfil padrão da composição volátil típico de fluidos biológicos (urina) de indivíduos sem patologia oncológica (grupo de controlo) comparando-os com os de pacientes (grupo com patologia oncológica). As amostras de urina de ambos os grupos foram analisadas por microextracção em fase sólida em modo de headspace acoplada à espectrometria de massa (HS-SPME-GC/qMS). Com o intuito de aumentar a eficiência de extracção da SPME, foram optimizados alguns parâmetros com influência no processo extractivo, nomeadamente o tipo de fibra, o tempo e a temperatura de extracção. Assim sendo, foram testadas e comparadas seis fibras comercialmente disponíveis, polidimetilsiloxano (PDMS, 100 m), poliacrilato (PA, 85 m), carboxeno-polidimetilsiloxano (CAR/PDMS, 75 m), carbowax-divinilbenzeno (CW/DVB, 65 m), divinilbenzeno-carboxen-polidimetilsiloxano (DVB/CAR/PDMS, 50/30 m) e polidimetilsiloxano-divinilbenzeno (PDMS/DVB, 65 m). A influência do tempo (30, 45, 60 e 75 min) e temperatura (30, 50 e 60 ºC) de extracção foram optimizados de modo a obter uma melhor eficiência de extracção dos compostos voláteis presentes nas amostras de urina. Os melhores resultados foram obtidos usando a fibra carboxeno-polidimetilsiloxano (CAR/PDMS, 75 m), com uma velocidade de agitação de 800 rpm durante 75 min a uma temperatura de 50 ºC. Para os dois grupos em estudo, foram identificados 80 compostos voláteis pertencentes a diversas famílias químicas, nomeadamente, aldeídos, cetonas, derivados benzénicos, compostos terpénicos, ácidos orgânicos, compostos furânicos, compostos sulfurados, fenóis voláteis, ésteres, álcoois superiores e derivados do naftaleno. Os compostos maioritários pertencentes aos grupos analisados foram a 4-heptanona, a 2-pentanona, a acetona, a 2-butanona, o 1(2- furanil)etanona, o 3-metil-3-fenil-2-propenal, o 3,4-dimetilbenzaldeído, o decanal, o dissulfureto de dimetilo, o metanotiol, o 2-metoxitiofeno, o 4-metil-fenol, o p-tert-butil-fenol, o 2,4-bis(1,1- dimetiletil)fenol, o fenol, o m-cimeno, o p-cimeno, o tolueno, o 1-etil-3,5-diisopropilbenzeno, o 2,6-dimetil-7-octen-2-ol, a D-carvona, o vitispirano I e o vitispirano II. O teste One-Way ANOVA foi aplicado aos resultados com o intuito de verificar se existiam diferenças significativas entre os grupos avaliados (Controlo e Oncológico), sendo o dissulfureto de dimetilo, o 2-metoxitiofeno, e o p-cimeno estatisticamente significativos. A aplicação da análise multivariável às amostras de urina das diferentes patologias permitiu diferenciá-las no qual se obteve 81,02% da variância total.A aplicação da análise multivariável às amostras de urina das diferentes patologias permitiu diferenciá-las no qual se obteve 81,02% da variância total. A patologia de Hodgkin é influenciada pelas variáveis heptanal e o 2-metil-3-fenil-2-propenal. O Controlo é afectado essencialmente pelas variáveis p-cimeno, 1,4,5-trimetilnaftaleno e o dissulfureto de dimetilo. O Cólon é influenciado pelo 4-metilfenol, anisole e 1,2-dihidro-1,1,6-trimetil-naftaleno. O 1-octanol e a 3-heptanona influenciam, essencialmente as patologias da Mama e Leucemia.

Investigation of urinary volatile organic metabolites as potential cancer biomarkers by solid-phase microextraction in combination with gas chromatography-mass spectrometry

BACKGROUND: Non-invasive diagnostic strategies aimed at identifying biomarkers of cancer are of great interest for early cancer detection. Urine is potentially a rich source of volatile organic metabolites (VOMs) that can be used as potential cancer biomarkers. Our aim was to develop a generally reliable, rapid, sensitive, and robust analytical method for screening large numbers of urine samples, resulting in a broad spectrum of native VOMs, as a tool to evaluate the potential of these metabolites in the early diagnosis of cancer. METHODS: To investigate urinary volatile metabolites as potential cancer biomarkers, urine samples from 33 cancer patients (oncological group: 14 leukaemia, 12 colorectal and 7 lymphoma) and 21 healthy (control group, cancer-free) individuals were qualitatively and quantitatively analysed. Dynamic solid-phase microextraction in headspace mode (dHS-SPME) using a carboxenpolydimethylsiloxane (CAR/PDMS) sorbent in combination with GC-qMS-based metabolomics was applied to isolate and identify the volatile metabolites. This method provides a potential non-invasive method for early cancer diagnosis as a first approach. To fulfil this objective, three important dHS-SPME experimental parameters that influence extraction efficiency (fibre coating, extraction time and temperature of sampling) were optimised using a univariate optimisation design. The highest extraction efficiency was obtained when sampling was performed at 501C for 60min using samples with high ionic strengths (17% sodium chloride, wv 1) and under agitation. RESULTS: A total of 82 volatile metabolites belonging to distinct chemical classes were identified in the control and oncological groups. Benzene derivatives, terpenoids and phenols were the most common classes for the oncological group, whereas ketones and sulphur compounds were the main classes that were isolated from the urine headspace of healthy subjects. The results demonstrate that compound concentrations were dramatically different between cancer patients and healthy volunteers. The positive rates of 16 patients among the 82 identified were found to be statistically different (Po0.05). A significant increase in the peak area of 2-methyl3-phenyl-2-propenal, p-cymene, anisole, 4-methyl-phenol and 1,2-dihydro-1,1,6-trimethyl-naphthalene in cancer patients was observed. On average, statistically significant lower abundances of dimethyl disulphide were found in cancer patients. CONCLUSIONS: Gas chromatographic peak areas were submitted to multivariate analysis (principal component analysis and supervised linear discriminant analysis) to visualise clusters within cases and to detect the volatile metabolites that are able to differentiate cancer patients from healthy individuals. Very good discrimination within cancer groups and between cancer and control groups was achieved.

Headspace solid-phase microextraction combined with mass spectrometry as a powerful analytical tool for profiling the terpenoid metabolomic pattern of hop-essential oil derived from Saaz variety

Hop(HumuluslupulusL.,Cannabaceaefamily)isprizedforitsessentialoilcontents,usedin beer production and, more recently, in biological and pharmacological applications. In this work,a methodinvolvingheadspace solid-phase microextractionand gas chromatography– mass spectrometry was developed and optimized to establish the terpenoid (monoterpenes and sesquiterpenes) metabolomic pattern of hop-essential oil derived from Saaz variety as a mean to explore this matrix as a powerful biological source for newer, more selective, biodegradable and naturally produced antimicrobial and antioxidant compounds. Different parameters affecting terpenoid metabolites extraction by headspace solid-phase microextraction were considered and optimized: type of fiber coatings, extraction temperature, extraction time, ionic strength, and sample agitation. In the optimized method, analytes were extracted for 30 min at 40 C in the sample headspace with a 50/30 m divinylbenzene/carboxen/polydimethylsiloxane coating fiber. The methodology allowed the identification of a total of 27 terpenoid metabolites, representing 92.5% of the total Saaz hop-essential oil volatile terpenoid composition. The headspace composition was dominated by monoterpenes (56.1%, 13 compounds), sesquiterpenes (34.9%, 10), oxygenated monoterpenes (1.41%, 3), and hemiterpenes (0.04%, 1) some of which can probably contribute to the hop of Saaz variety aroma. Mass spectrometry analysis revealed that the main metabolites are the monoterpene -myrcene (53.0±1.1% of the total volatile fraction), and the cyclic sesquiterpenes, -humulene (16.6 ± 0.8%), and -caryophyllene (14.7 ± 0.4%), which together represent about 80% of the total volatile fraction from the hop-essential oil. Thesefindingssuggestthatthismatrixcanbeexploredasapowerfulbiosourceofterpenoid metabolites.

Headspace solid-phase microextraction-gas chromatography-quadrupole mass spectrometric methodology for the establishment of the volatile composition of Passiflora fruit species

Dynamic headspace solid-phase microextraction (HS-SPME) followed by thermal desorption gas chromatography-quadrupole mass spectrometry analysis (GC-qMS), was used to investigate the aroma profile of different species of passion fruit samples. The performance of five commercially available SPME fibres: 65 μm polydimethylsiloxane/divinylbenzene, PDMS/DVB; 100 μm polydimethylsiloxane, PDMS; 85 μm polyacrylate, PA; 50/30 μm divinylbenzene/carboxen on polydimethylsiloxane, DVB/CAR/PDMS (StableFlex); and 75 μm carboxen/polydimethylsiloxane, CAR/PDMS; was evaluated and compared. Several extraction times and temperature conditions were also tested to achieve optimum recovery. The SPME fibre coated with 65 μm PDMS/DVB afforded the highest extraction efficiency, when the samples were extracted at 50 °C for 40 min with a constant stirring velocity of 750 rpm, after saturating the sample with NaCl (17%, w/v — 0.2 g). A comparison among different passion fruit species has been established in terms of qualitative and semi-quantitative differences in volatile composition. By using the optimal extraction conditions and GC-qMS it was possible to tentatively identify seventy one different compounds in Passiflora species: 51 volatiles in Passiflora edulis Sims (purple passion fruit), 24 in P. edulis Sims f. flavicarpa (yellow passion fruit) and 21 compounds in Passiflora mollissima (banana passion fruit). It was found that the ethyl esters comprise the largest class of the passion fruit volatiles, including 82.8% in P. edulis variety, 77.4% in P. edulis Sims f. flavicarpa variety and 39.9% in P. mollissima. The semi-quantitative results were then submitted to principal component analysis (PCA) in order to establish relationships between the compounds and the different passion fruit species under investigation.

In-depth search focused on furans, lactones, volatile phenols, and acetals as potential age markers of Madeira wines by comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry combined with solid phase microextraction

The establishment of potential age markers of Madeira wine is of paramount significance as it may contribute to detect frauds and to ensure the authenticity of wine. Considering the chemical groups of furans, lactones, volatile phenols, and acetals, 103 volatile compounds were tentatively identified; among these, 71 have been reported for the first time in Madeira wines. The chemical groups that could be used as potential age markers were predominantly acetals, namely, diethoxymethane, 1,1-diethoxyethane, 1,1-diethoxy-2-methyl-propane, 1-(1-ethoxyethoxy)-pentane, trans-dioxane and 2-propyl-1,3-dioxolane, and from the other chemical groups, 5-methylfurfural and cis-oak-lactone, independently of the variety and the type of wine. GC × GC-ToFMS system offers a more useful approach to identify these compounds compared to previous studies using GC−qMS, due to the orthogonal systems, that reduce coelution, increase peak capacity and mass selectivity, contributing to the establishment of new potential Madeira wine age markers. Remarkable results were also obtained in terms of compound identification based on the organized structure of the peaks of structurally related compounds in the GC × GC peak apex plots. This information represents a valuable approach for future studies, as the ordered-structure principle can considerably help the establishment of the composition of samples. This new approach provides data that can be extended to determine age markers of other types of wines.

Determination of disease biomarkers in Eucalyptus by comprehensive two-dimensional gas chromatography and multivariate data analysis

In this paper is reported the use of the chromatographic profiles of volatiles to determine disease markers in plants - in this case, leaves of Eucalyptus globulus contaminated by the necrotroph fungus Teratosphaeria nubilosa. The volatile fraction was isolated by headspace solid phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography-fast quadrupole mass spectrometry (GC. ×. GC-qMS). For the correlation between the metabolic profile described by the chromatograms and the presence of the infection, unfolded-partial least squares discriminant analysis (U-PLS-DA) with orthogonal signal correction (OSC) were employed. The proposed method was checked to be independent of factors such as the age of the harvested plants. The manipulation of the mathematical model obtained also resulted in graphic representations similar to real chromatograms, which allowed the tentative identification of more than 40 compounds potentially useful as disease biomarkers for this plant/pathogen pair. The proposed methodology can be considered as highly reliable, since the diagnosis is based on the whole chromatographic profile rather than in the detection of a single analyte. © 2013 Elsevier B.V..

Evidence for euphotic zone anoxia during the deposition of Aptian source rocks based on aryl isoprenoids in petroleum, Sergipe-Alagoas Basin, northeastern Brazil

Four crude oil samples from the Sergipe-Alagoas Basin, northeastern Brazil, were analyzed using full scan gas chromatography-quadrupole mass spectrometry (GC-qMS) for biomarkers, in order to correlate them using aromatic carotenoids thereby enhancing knowledge about the depositional environment of their source rocks. The geochemical parameters derived from saturated fractions of the oils show evidence of little or no biodegradation and similar thermal maturation (Ts/(Ts+Tm) for terpanes, C29 αββ/(αββ+ααα), C27, and C29 20S/(20S+20R) for steranes). Low pristane/phytane ratios and the abundance of gammacerane and β-carotane are indicative of an anoxic and saline depositional environment for the source rocks. Moreover, we identified a large range of diagenetic and catagenetic products of the aromatic carotenoid isorenieratene, including C40, C33, and C32 diaryl isoprenoids and aryl isoprenoid derivatives with short side chains and/or additional rings. These results indicate anoxia in the photic zone during the deposition of the source rocks. © 2013 The Authors.

Comprehensive two-dimensional gas chromatography combined to multivariate data analysis for detection of disease-resistant clones of Eucalyptus

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evaluation of comprehensive two-dimensional gas chromatography coupled to rapid scanning quadrupole mass spectrometry for quantitative analysis

Comprehensive two-dimensional gas chromatography (GC x GC) is a powerful technique that provides excellent separation and identification of analytes in highly complex samples with considerable increase in GC peak capacities. However, since second dimension analyses are very fast, detectors with a rapid acquisition rate are required. Over the last years, quite a number of studies have discussed the potential and limitations of the combination GC x GC with a variety of quadrupole mass spectrometers. The present research focuses on the evaluation of qMS effectiveness at a 10,000-amu/s scan speed and 20-Hz scan frequency for the identification (full scan mode acquisition-TIC) and quantification (extracted ion chromatogram) of target pesticide residues in tomato samples. The following MS parameters have been evaluated: number of data points per peak, mass spectrum quality, peak skewing, and sensitivity. The validated proposed GC x GC/qMS method presented satisfactory results in terms of repeatability (coefficient of variation lower than 15%), accuracy (84-117%), and linearity (ranging from 25 to 500 ng/g), while significant enhancement in sensitivity was observed (a factor of around 10) under scan conditions. (C) 2012 Elsevier B.V. All rights reserved.

Avaliação de nova estratégia extrativa, baseada em NTDs, combinada com dados de análise cromatigráfica e quimiométrica para a deteção de biomarcadores de diferentes tipos de cancro

A elevada incidência e mortalidade mundiais associadas ao cancro justificam o desenvolvimento e implementação de estratégias eficazes e não-invasivas conducentes a um diagnóstico precoce. Neste contexto, pretendeu-se avaliar a performance de uma metodologia inovadora, a microextração por “needle trap” (NTME), na extração de metabolitos voláteis (VOMs) da urina de pacientes oncológicos com diferentes tipos de cancro - cólon, pulmão e mama, e de indivíduos saudáveis, com a finalidade de identificar um conjunto de VOMs potenciais biomarcadores dos diferentes tipos cancros em estudo. De modo a maximizar a eficiência da extração dos VOMs, foram otimizados diferentes parâmetros experimentais, nomeadamente a natureza do sorvente, a temperatura, o tempo de equilíbrio, o volume de headspace, a força iónica, o pH do meio e o volume e a agitação da amostra. Usando como sorvente o DVB/Car1000/CarX, os melhores resultados foram obtidos com 4 mL de urina acidificada (pH= 2), 20% NaCl, 40 mL de headspace e 40 min de equilíbrio a 50 °C. Foi ainda avaliada a estabilidade dos VOMs no sorvente até 72 h após a extração. Nos quatro grupos em estudo foram identificados, por GC-MS, 259 VOMs pertencentes a diversas famílias químicas, nomeadamente cetonas, compostos sulfurados, furânicos e terpénicos. A matriz de dados obtida para cada grupo em estudo foi submetida a análise discriminante, usando o método dos mínimos quadrados parciais (PLS-DA), que resultou em clusters distintos diferenciadores de cada grupo. A aplicabilidade do modelo foi avaliada através do método de classificação SIMCA (modelagem suave e independente de analogias de classe), com elevadas taxas de classificação, sensibilidade e especificidade. Este foi o primeiro estudo usando NTME para o estabelecimento do padrão volatómico da urina. Os resultados obtidos revelam-se muito promissores originando perfis voláteis de maior expressividade, mais completos e abrangentes, que os obtidos usando metodologias de referência.

Avaliação de nova estratégia extrativa, baseada em NTDs, combinada com dados de análise cromatigráfica e quimiométrica para a deteção de biomarcadores de diferentes tipos de cancro

A elevada incidência e mortalidade mundiais associadas ao cancro justificam o desenvolvimento e implementação de estratégias eficazes e não-invasivas conducentes a um diagnóstico precoce. Neste contexto, pretendeu-se avaliar a performance de uma metodologia inovadora, a microextração por “needle trap” (NTME), na extração de metabolitos voláteis (VOMs) da urina de pacientes oncológicos com diferentes tipos de cancro - cólon, pulmão e mama, e de indivíduos saudáveis, com a finalidade de identificar um conjunto de VOMs potenciais biomarcadores dos diferentes tipos cancros em estudo. De modo a maximizar a eficiência da extração dos VOMs, foram otimizados diferentes parâmetros experimentais, nomeadamente a natureza do sorvente, a temperatura, o tempo de equilíbrio, o volume de headspace, a força iónica, o pH do meio e o volume e a agitação da amostra. Usando como sorvente o DVB/Car1000/CarX, os melhores resultados foram obtidos com 4 mL de urina acidificada (pH= 2), 20% NaCl, 40 mL de headspace e 40 min de equilíbrio a 50 °C. Foi ainda avaliada a estabilidade dos VOMs no sorvente até 72 h após a extração. Nos quatro grupos em estudo foram identificados, por GC-MS, 259 VOMs pertencentes a diversas famílias químicas, nomeadamente cetonas, compostos sulfurados, furânicos e terpénicos. A matriz de dados obtida para cada grupo em estudo foi submetida a análise discriminante, usando o método dos mínimos quadrados parciais (PLS-DA), que resultou em clusters distintos diferenciadores de cada grupo. A aplicabilidade do modelo foi avaliada através do método de classificação SIMCA (modelagem suave e independente de analogias de classe), com elevadas taxas de classificação, sensibilidade e especificidade. Este foi o primeiro estudo usando NTME para o estabelecimento do padrão volatómico da urina. Os resultados obtidos revelam-se muito promissores originando perfis voláteis de maior expressividade, mais completos e abrangentes, que os obtidos usando metodologias de referência.

Esi(+)-ms And Gc-ms Study Of The Hydrolysis Of N-azobenzyl Derivatives Of Chitosan.

New N-p-chloro-, N-p-bromo-, and N-p-nitrophenylazobenzylchitosan derivatives, as well as the corresponding azophenyl and azophenyl-p-sulfonic acids, were synthesized by coupling N-benzylvchitosan with aryl diazonium salts. The synthesized molecules were analyzed by UV-Vis, FT-IR, 1H-NMR and 15N-NMR spectroscopy. The capacity of copper chelation by these materials was studied by AAS. Chitosan and the derivatives were subjected to hydrolysis and the products were analyzed by ESI(+)-MS and GC-MS, confirming the formation of N-benzyl chitosan. Furthermore, the MS results indicate that a nucleophilic aromatic substitution (SnAr) reaction occurs under hydrolysis conditions, yielding chloroaniline from N-p-bromo-, and N-p-nitrophenylazo-benzylchitosan as well as bromoaniline from N-p-chloro-, and N-p-nitrophenylazobenzyl-chitosan.

A method to determine volatile contaminants in polyethylene terephthalate (PET) packages by HDC-GC-FID and its application to post-consumer materials

A simple and low cost method to determine volatile contaminants in post-consumer recycled PET flakes was developed and validated by Headspace Dynamic Concentration and Gas Chromatography-Flame Ionization Detection (HDC-GC-FID). The analytical parameters evaluated by using surrogates include: correlation coefficient, detection limit, quantification limit, accuracy, intra-assay precision, and inter-assay precision. In order to compare the efficiency of the proposed method to recognized automated techniques, post-consumer PET packaging samples collected in Brazil were used. GC-MS was used to confirm the identity of the substances identified in the PET packaging. Some of the identified contaminants were estimated in the post-consumer material at concentrations higher than 220 ng.g-1. The findings in this work corroborate data available in the scientific literature pointing out the suitability of the proposed analytical method.

Structural basis of GC-1 selectivity for thyroid hormone receptor isoforms

Background: Thyroid receptors, TRa and TR beta, are involved in important physiological functions such as metabolism, cholesterol level and heart activities. Whereas metabolism increase and cholesterol level lowering could be achieved by TR beta isoform activation, TRa activation affects heart rates. Therefore, beta-selective thyromimetics have been developed as promising drug-candidates for treatment of obesity and elevated cholesterol level. GC-1 [ 3,5-dimethyl-4-(4'-hydroxy- 3'-isopropylbenzyl)-phenoxy acetic acid] has ability to lower LDL cholesterol with 600-to 1400-fold more potency and approximately two-to threefold more efficacy than atorvastatin (Lipitor(C)) in studies in rats, mice and monkeys. Results: To investigate GC-1 specificity, we solved crystal structures and performed molecular dynamics simulations of both isoforms complexed with GC-1. Crystal structures reveal that, in TRa Arg228 is observed in multiple conformations, an effect triggered by the differences in the interactions between GC-1 and Ser277 or the corresponding asparagine (Asn331) of TR beta. The corresponding Arg282 of TR beta is observed in only one single stable conformation, interacting effectively with the ligand. Molecular dynamics support this model: our simulations show that the multiple conformations can be observed for the Arg228 in TR alpha, in which the ligand interacts either strongly with the ligand or with the Ser277 residue. In contrast, a single stable Arg282 conformation is observed for TR beta, in which it strongly interacts with both GC-1 and the Asn331. Conclusion: Our analysis suggests that the key factors for GC-1 selectivity are the presence of an oxyacetic acid ester oxygen and the absence of the amino group relative to T(3). These results shed light into the beta-selectivity of GC-1 and may assist the development of new compounds with potential as drug candidates to the treatment of hypercholesterolemia and obesity.