headspace solid-phase microextraction combined with mass ...20solid-phase... · j. sep. sci. 2012,...
TRANSCRIPT
2282 J. Sep. Sci. 2012, 35, 2282–2296
Joao GoncalvesJose FigueiraFatima RodriguesJose S. Camara
CQM/UMa—Centro de Quımicada Madeira, Centro de CienciasExactas e da Engenharia,Universidade da Madeira,Campus Universitario daPenteada, Funchal, Portugal
Received March 6, 2012Revised April 16, 2012Accepted May 15, 2012
Research Article
Headspace solid-phase microextractioncombined with mass spectrometry as apowerful analytical tool for profiling theterpenoid metabolomic pattern ofhop-essential oil derived from Saaz variety
Hop (Humulus lupulus L., Cannabaceae family) is prized for its essential oil contents, used inbeer production and, more recently, in biological and pharmacological applications. In thiswork, a method involving headspace solid-phase microextraction and gas chromatography–mass spectrometry was developed and optimized to establish the terpenoid (monoterpenesand sesquiterpenes) metabolomic pattern of hop-essential oil derived from Saaz varietyas a mean to explore this matrix as a powerful biological source for newer, more se-lective, biodegradable and naturally produced antimicrobial and antioxidant compounds.Different parameters affecting terpenoid metabolites extraction by headspace solid-phasemicroextraction were considered and optimized: type of fiber coatings, extraction tem-perature, 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 di-vinylbenzene/carboxen/polydimethylsiloxane coating fiber. The methodology allowed theidentification of a total of 27 terpenoid metabolites, representing 92.5% of the total Saazhop-essential oil volatile terpenoid composition. The headspace composition was domi-nated by monoterpenes (56.1%, 13 compounds), sesquiterpenes (34.9%, 10), oxygenatedmonoterpenes (1.41%, 3), and hemiterpenes (0.04%, 1) some of which can probably con-tribute to the hop of Saaz variety aroma. Mass spectrometry analysis revealed that the mainmetabolites are the monoterpene �-myrcene (53.0 ± 1.1% of the total volatile fraction), andthe 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.These findings suggest that this matrix can be explored as a powerful biosource of terpenoidmetabolites.
Keywords: Essential oil / GC-qMS / Hop Saaz variety / HS-SPME / TerpenoidmetabolitesDOI 10.1002/jssc.201200244
1 Introduction
It is well known that plant-derived natural products are exten-sively used as biologically active compounds. From these, theessential oils, which represent a small fraction of a plant’scomposition, and some of their constituents are used notonly in pharmaceutical products for their therapeutic activi-ties but also in agriculture, as food preservers and additivesfor human or animal use, in cosmetics and perfumes, andother industrial fields [1, 2]. Particular emphasis has been
Correspondence: Professor Jose S. Camara, Centro de CienciasExactas e da Engenharia, Universidade da Madeira, Campus Uni-versitario da Penteada, 9000–390 Funchal, PortugalE-mail: [email protected]: +351-291705149
Abbreviations: HS-SPME, headspace solid phase microex-traction; RI, retention index
placed on their antibacterial, antifungal, and insecticidal ac-tivities [3]. In many cases, they serve as (i) plant defensemechanisms against predation by microorganisms, insects,and herbivores; (ii) metal transporting agents; (iii) agents ofsymbiosis between microbes and plants, nematodes, insects,and higher animals; (iv) sexual hormones; and (v) differenti-ation effectors [4,5]. Levels of secondary metabolites in plantsare both environmentally induced as well as genetically con-trolled [6].
Among the thousands of metabolites produced by plants,terpenoids represent, by far, the largest and the most diverseclass of secondary metabolites, followed by alkaloids and phe-nolic compounds [7]. They have received special attentionby the scientific community, due to their useful and widerange of biological and pharmacological activities [2,8]. Somemonoterpenes, such as �-pinene, cineole, eugenol, limonene,terpinolene, citronellol, citronellal, camphor, and thymol, arecommon constituents of a number of essential oils described
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2283
Figure 1. Biosynthetic pathways of terpenoid metabolites [2].
in the literature, as presenting mosquito repellent activity [9].Among sesquiterpenes, �-caryophyllene is most cited as astrong repellent against Aedes aegypti [10]. Although repel-lent properties of several essential oil regularly appear to beassociated with the presence of monoterpenes and sesquiter-penes [9, 11], other authors have found that farnesol has awide spectrum of desirable biological properties includingantitumor [12, 13], antioxidant [14], antifungal, and antibac-terial effects [15]. Moreover, farnesol has been demonstratedto selectively inhibit monoamine oxidase B of rat brain [16],a possible role for farnesol in prevention of Parkinson dis-ease [3]. Some others isoprenoids show antiviral (e.g. saponinand glycyrrhizin) [17], antihyperglycemic (e.g. stevioside) [18],anti-inflammatory (e.g. linalool) [19], and antiparasitic (e.g.artemisinin) [20] activities. The biosynthesis of the terpenoidcompounds in the essential oil uses the same building blocks
as required for the isoprenyl side chains of the hop resins(Fig. 1).
Essential oils represent a small fraction of the composi-tion of plants but confer the characteristics for which aromaticplants are used in the pharmaceutical, food, cosmetic, and fra-grance industries [21]. Are complex mixtures containing froma few dozen to several hundred volatile organic compoundsproduced as secondary metabolites in plants: they are consti-tuted by hydrocarbons (monoterpenes and sesquiterpenes)and oxygenated compounds (alcohols, esters, ethers, alde-hydes, ketones, lactones, phenols, and phenol ethers) [3].Their composition may vary considerably between aromaticplant species and varieties, and within the same variety fromdifferent geographic areas [22]. Frequently, both hydrocar-bons and oxygenated compounds are responsible for the dis-tinctive characteristic odors and flavors of plants.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2284 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
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C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2285
Ta
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C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2286 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
Over centuries, hop (Humulus lupulus L.) was used pri-marily as an essential ingredient in the manufacturing ofbeer since its components add the typical bitter taste and con-tribute to the attractive aroma of the final beverage. Essentialoil of hop comprises two major fractions: the first belongs tothe group of hydrocarbons of which terpene hydrocarbons ac-count for about 70% [25]. The remaining 30% are compoundscontaining oxygen (oxygenated fraction that is generally morearomatic and less volatile) such as esters, aldehydes, ketones,acids, and alcohols [3]. Different hop varieties produce differ-ent essential oils that can have widely distinct taste, odor, andaroma, depending on their chemical nature (Table 1 ).
Geographical location, climate, and agronomical factorsalso affect the oil composition, potentially creating differentprofiles for hop samples with the same genetic material [3].
In recent years, essential oil has received much attentionas potentially useful bioactive compounds against insects. Al-though effective, the constant application of pesticides to con-trol insects, can disrupt the natural biological control systemsand has led to outbreaks of insect species, which sometimesresulted in the widespread development of resistance, hadundesirable effects on nontarget organisms, and fostered en-vironmental and human health concerns. These problemshave highlighted the need for the development of new strate-gies for selective and specific pest control. Furthermore, thedifferent activities of aromatic plants essential oils, such as an-timicrobial, antiviral, and anticarcinogenic activities, explaintheir broad use in phytotherapy [26]. Particularly, the antimi-crobial activity has formed the basis of many applications,including raw and processed food preservation, pharmaceu-tical, alternative medicine, and natural therapies. Accordingto Bozin et al. [26], this aspect assumes a unique relevancedue to an increased resistance of some bacterial strains to themost common antibiotics and antimicrobial agents for foodpreservation.
A range of extraction and concentration methods havebeen developed for the analysis of essential oil, which in-clude steam distillation [27] or extraction with a conventionalsolvent [28], supercritical fluid CO2 extraction [29], columnchromatography [30], and stir bar sorptive extraction [31].Nevertheless, these techniques present certain nonnegligi-ble drawbacks such as the use of high volumes of solvent, thetime required, and the use of expensive devices with a lim-ited lifetime that may entail carry-over or cross-contaminationproblems. Consequently, in order to overcome these draw-backs, solid-phase microextraction (SPME) has emerged asan efficient extraction-preconcentration method and a reliablealternative to traditional sample preparation techniques, dueto important features such as simplicity, low cost, selectivity,and sensitivity when combined with appropriate detectionmodes [32–37]. This method, developed by Pawliszyn andco-workers [38, 39], eliminates the use of organic solvents,and substantially shortens the time of analysis. SPME canintegrate sampling, extraction, concentration, and sample in-troduction into a single uninterrupted process, resulting inhigh sample throughput and also be used as a solvent-freesample preparation method with gas chromatography (GC)
mass spectrometry (MS) analysis, which has been success-fully applied for profiling the metabolomic pattern of fruits[40–44], and analysis of environmental [45], food [40, 42, 44],forensic [46], and pharmaceutical samples [47] and also as apowerful technique for extraction of urinary potential cancerbiomarkers [48, 49].
In the present communication, we report on usingSPME, in headspace mode (HS-SPME), coupled to GC-qMS(quadrupole first stage mass spectrometry) as a powerfulmethodology to investigate the metabolomic pattern of ter-penoid composition in hop-essential oil derived from Saazvariety as a mean to explore, in a near future, these matrixas a powerful biological source of antimicrobial (antibacte-rial and antifungal) and antioxidant agents, constituting anenvironmentally friendly alternative as potential substitutesfor synthetic compounds. Important SPME experimental pa-rameters that may affect extraction efficiency, namely, na-ture of fiber coating, extraction temperature, extraction time,ionic strength, and sample agitation, were considered on thisstudy. The optimized conditions were applied to the char-acterization of the terpernoid metabolites in hop-essentialoil from Saaz variety. The method is simple, requires smallamounts of sample, and was expected to provide global ter-penoid metabolomic signature of hop-essential oil while of-fering a significant time reduction when compared to othermethods commonly used.
2 Materials and methods
2.1 Reagents and materials
The SPME holder for manual sampling and the fibers usedwere purchased from Supelco (Bellefonte, PA, USA). Am-ber silanized glass vials (4.0 mL) were obtained from AgilentTechnologies (Palo Alto, CA, USA). According to manufac-turer’s recommendation, the fibers were first conditioned inthe GC injection port to remove fiber contaminants. Priorto extraction, the fiber was, daily, inserted in the hot injec-tion port for 6 min. A blank test was performed to checkpossible carry-over. The Kovat’s retention index (RI) wascalculated through injection of a series of C8–C20 straight-chain n-alkanes (concentration of 40 mg/L in n-hexane) pur-chased from Fluka (Buchs, Switzerland). Sodium chloride, ofanalytical grade, was purchased from Panreac Quimica SA(Barcelona, Spain).
2.2 Samples
Five hop-essential oil samples, obtained by supercritical CO2
extraction, were kindly provided by Empresa de Cervejasda Madeira (ECM), Madeira Island, Portugal. Samples weretransported under refrigeration (ca. 2–5�C) to the laboratoryand stored at −20�C until analysis. All samples were analyzedin triplicate.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2287
2.3 HS-SPME extraction conditions
Right before analysis, samples were thawed at 20�C for 10min and then were subjected to HS-SPME. Extraction wascarried out using 0.5 g of hop-essential oil into a 4-mLglass HS vial. The samples were equilibrated during theincubation time (10 min in all assays) in a temperature-controlled six-vial agitator tray at the appropriate temper-ature and time (selected according to the optimization de-sign). Subsequently, the SPME fiber was manually insertedinto the sealed vial through the septum and the fiber wasexposed to the sample HS for a specific extraction time andextraction temperature. Following the extraction process, thefiber was retracted prior to remove from the sample vial andimmediately inserted into the GC-qMS injector for thermaldesorption of metabolites at 250�C for 6 min in splitlessmode. All measurements were made with, at least, threereplicates.
2.4 Optimization of SPME parameters
The effectiveness of analyte preconcentration using theSPME technique depends on several experimental parame-ters, from which the fiber coating, extraction time, and extrac-tion temperature are the most significant. For this reason, theextent to which each of these variables affects the efficiency ofSPME procedure was examined by application of univariateoptimization design.
2.4.1 Selection of the fiber coating
In the preliminary selection, all commercially avail-able silica SPME fibers, varying in polarity, thicknessof the stationary phase, and coated with the follow-ing polymers: polydimethylsiloxane (PDMS, 100 �m),PDMS/divinylbenzene (PDMS/DVB, 65 �m), DVB/carboxenon PDMS (DBV/CAR/PDMS; StableFlex, 50/30 �m),CAR/PDMS (CAR/PDMS, 75 �m), polyacrylate (PA,85 �m), and polyethyleneglycol (PEG, 60 �m) were testedin order to select the best polymer to extract the terpenoidmetabolites. In this step, all the fibers were exposed tothe sample HS under the following conditions: 10 min ofequilibrium time, 30 min of extraction time, and 40�C forextraction temperature (conditions arbitrarily establishedby the authors in the choice-of-fiber step). Fibers werethermally conditioned in accordance with the manufacture’srecommendations before first use. Before the first dailyanalysis, and in order to guarantee the absence of peaks inthe run blanks and the good quality of the SPME extractionand chromatographic procedures, each of the fibers wasreconditioned at 250�C for 15 min, following the manu-facturer’s recommendations. All the fibers were tested intriplicate and the results presented represent the mean valuesobtained.
2.4.2 Effect of extraction time and temperature
Extraction time and temperature are two of the most im-portant parameters affecting the volatility of analytes. There-fore, these two parameters were optimized. The proceduredescribed in Section 2.3 was employed to evaluate the ex-traction time and temperature. The HS-SPME extraction ofthe hop-essential oil samples (CO2 supercritical extract) wasdone using fiber exposure times between 15 and 60 min us-ing DVB/CAR/PDMS fiber at 40�C. In order to optimize theextraction temperature, up to three consecutive extractionswere carried out at each of the following temperatures: roomtemperature (24�C), 30, 40, and 50�C using DVB/CAR/PDMSfiber for 30 min.
2.5 GC-qMS conditions
The SPME-coating fibers containing the adsorbed terpenoidmetabolites extracted from the hop-essential oil were manu-ally introduced into the GC injection port at 250�C and keptfor 6 min for desorption. The split/splitless injector, operat-ing in the splitless mode, was equipped with an inlet liner forSPME (internal diameter 0.75 mm i.d., Supelco, Barcelone,Spain). The desorbed terpenoid metabolites were separatedin an Agilent Technologies 6890N Network GC equippedwith a BP-20 fused silica capillary column (30 m × 0.25 mmi.d. × 0.25 �m film thickness) supplied by SGE (Darmstadt,Germany) connected to an Agilent 5973N quadrupole massselective detector. Helium (Air Liquid, Portugal) was used ascarrier gas at 1.1 mL/min constant flow (column head pres-sure: 12 psi). The injections were performed in the splitlessmode (5 min). The GC oven temperature was programmed asfollows: 40�C for 1 min, 1.7�C/min ramp until 180�C (1 min)then to 220�C at 30�C/min and held isothermally at 250�Cfor a further 1 min. For the MS system, the temperatures ofthe transfer line, quadrupole, and ionization source were 250,180, and 230 ³C, respectively; electron impact mass spectrawere recorded at 70 eV and the ionization current was about30 �A. Data acquisitions were performed in scanning mode(mass range m/z 30–300; 6 scans per second). The GC peakarea of each compound was obtained from the ion extractionchromatogram by selecting target ions for each one. Repro-ducibility was expressed as relative standard deviation (RSD).Signal acquisition and data processing were performed usingthe HP Chemstation (Agilent Technologies).
Terpenoid metabolites identification was based on (i)comparison of the GC retention time and mass spectra, withthose, when available, of the pure standard compounds; (ii)comparison between the MS for each putative compoundwith those of the data system library (NIST, 2005 software,Mass Spectral Search Program V.2.0d; NIST 2005, Washing-ton, DC, USA); and (iii) Kovat’s RI determined according tothe Van den Dool and Kratz [50]. For the determination of theRI, a C8–C20 n-alkanes series was used, and the values werecompared, with available values reported in the literature for
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2288 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
similar chromatographic columns. All Identity SpectrumMach factor above 850 resulting from the NIST Identity Spec-trum Search algorithm (NIST MS Search 2.0) was determinedto be acceptable for positive identification.
Monoterpenes and specially sesquiterpenes are notori-ously difficult to resolve and identify because they have thesame molecular formulae and therefore interact with columnstationary phases in the same manner and exhibit very similarmass spectra.
3 Results and discussion
The influence of the main parameters that can affect the HS-SPME process from HS, i.e. fiber coating, extraction temper-ature, extraction time, ionic strength, and sample agitation,was evaluated. HS-SPME mode was used instead of directsampling mode because, for volatile analytes, in the formermode the equilibrium times are shorter compared to directextraction. The HS mode also protects the fiber from ad-verse effects caused by nonvolatile, high molecular weightsubstances present in the sample matrix. Temperature hasa significant effect on the extraction kinetics, since it deter-mines the vapor pressure of the analytes, and for that theirinfluence in the extraction process was also investigated. Inthe optimized method, analytes were absorbed for 30 min at40�C in the sample HS with a 50/30 �m DVB/CAR/PDMSfiber. The best conditions obtained for HS-SPME/GC-qMSmethodology was chosen based on intensity response (GCpeak area), number of identified compounds, and RSD (RSD,%). After the optimization step, the terpenoid metabolomicsprofile of the hop-essential oil derived from Saaz variety wasestablished.
3.1 Optimization of HS-SPME parameters
The optimization of the different parameters involved in HS-SPME was performed choosing the conditions that allowedobtaining the maximum response in terms of analyte peakarea.
3.1.1 Fiber-coating selection
The selection of a suitable fiber coating is an important step inSPME optimization. The sensitivity of the SPME extractiontechnique depends greatly on the value of the distributionconstant of analytes partitioned between the sample and fiber-coating material. For this reason, six different types of SPMEfibers were evaluated in this study, in order to assess that thecoating having highest affinity toward terpenoid metabolites.The comparison of the SPME fiber performance was basedon extraction efficiency, estimated by total peak area, numberof isolated compounds from the extract, and reproducibility.Table 2 reports the results of the relative extraction efficiencyof the six SPME fibers with respect to their capacity to ex-tract the terpenoid metabolites of the Saaz hop-essential oil.
Each fiber was exposed to the HS under the same conditionsof equilibrium time (10 min), extraction time (30 min), andtemperature (40�C), and although the extraction conditionswere the same, the differences in the areas obtained revealedthe behavior of each type of coating used for each fiber tested(Table 2). The results of this screening showed that the high-est extraction sensitivity was obtained with the CAR-relatedstationary phase. Although the means of the total areas ob-tained for the PDMS, DVB/CAR/PDMS, and CAR/PDMSfibers did not present significant statistical differences (Tukeyat P < 0.05), the fiber DVB/CAR/PDMS was chosen, since itpresented the best extraction efficiency for a highest numberof terpenoid metabolites (Table 2). The good performancesobtained with fibers containing PDMS coating were partiallyexpected since PDMS is a lypophilic coating, so with a higheraffinity than the partially polar PA and PEG, for nonpolarmolecules such as terpenoid metabolites.
Conversely, the lowest sorption capacity expressed aschromatographic areas (P < 0.05) were in general obtainedwith the PA fiber under the same experimental conditions.
DVB/CAR/PDMS coating (molecular weight rangingfrom 35 to 300) combines the absorption properties of theliquid polymer with the adsorption properties of porous par-ticles, which contains macro- (>500 A), meso- (20–500 A), andmicroporous (2–20 A), and has bipolar properties. The mu-tually synergetic effect of adsorption and absorption of thestationary phase explains its high retention capacity. Basedon the data evaluation completed within this particular opti-mization experiment, DVB/CAR/PDMS fiber was chosen tobe used for all further optimization steps and hop-essentialoil analysis experiments, without adding salt and without ag-itation of the sample. Using the DVB/CAR/PDMS 50/30 �mfiber, the addition of salt and the agitation of the sample led toa decrease of chromatographic peak areas (P < 0.05) for someanalytes. Similar results were obtained by Laura Campo et al.[51] in the quantification of 13 priority polycyclic aromatichydrocarbons in human urine by HS-SPME GC and isotopedilution MS.
3.1.2 Extraction time and temperature
Extraction time and temperature are very important experi-mental factors to define the optimum extraction conditionsfrom the HS. Since time affects the mass transfer of the an-alytes onto the fiber, optimum time is required for the fiberto reach equilibrium with HS. To study the effects of extrac-tion time, Saaz hop-essential oil samples were extracted forpredetermined extraction times ranging from 15 to 60 min at40�C. The results are shown in Fig. 2A. A typical extractiontime profile consists of an initial rapid portioning followed bya slower prolonged uptake and finally a steady-state equilib-rium between the fiber and the vapor phase of the analyte. Ascan be observed, over 30 min, no significant increase in the re-sponse was observed. Moreover, 30 min showed excellent re-producibility (RSD = 1.0%) when compared with 45 (RSD =8.4%) and 60 min (RSD = 6.8%).
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2289Ta
ble
2.
Ret
enti
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es,l
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nd
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ula
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and
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cto
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lene
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Ylan
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2416
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±3.
50.
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±1.
616
33.6
216
6316
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710
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316
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lene
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218
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lene
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0.8
±1.
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919
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±3.
220
41.8
917
2417
13M
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,ST
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ene
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rene
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3.7
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olite
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er27
2627
2724
17
a)R
eten
tio
nti
me
(min
).b)
Kov
at’s
rete
nti
on
ind
exre
po
rted
inth
elit
erat
ure
for
BP
-20
cap
illar
yco
lum
no
req
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alen
ts[5
3].
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ovat
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ten
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dex
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tive
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20)
on
aB
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mn
.d)
Th
ere
liab
ility
of
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osa
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ind
icat
edb
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llow
ing
:MS
-NIS
Tan
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libra
ries
spec
tra
and
the
liter
atu
re;R
I—K
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’sre
ten
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on
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colu
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inre
fere
nce
[30]
;ST
—co
inje
ctio
nw
ith
auth
enti
cst
and
ard
com
po
un
ds.
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ole
cula
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rmu
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rder
edb
yd
ecre
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gin
ten
sity
,bei
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ase
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men
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ean
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=10
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me
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ene.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2290 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
Figure 2. Influence of the extraction time on the extraction ef-ficiency of terpenoid metabolites by HS-SPME (fiber 50/30 �mDVB/CAR/PDMS, extraction temperature of 40�C), expressed as(A) total peak area; and (B) profile of major terpenoid metabolites(a.u. arbitrary units).
The extraction time profile of the major terpenoidmetabolites in essential oil from hop of Saaz variety is repre-sented in Fig. 2B. For some analytes, higher chromatographicresponses were observed for longer sampling time. The peakarea for �-myrcene decreased with time, while �-humuleneand �-caryophyllene reach the steady-state equilibrium at 30and 45 min, respectively. Considering the results for the 27identified terpenoid metabolites, an extraction time of 30 minwas chosen as a good compromise between obtaining an op-timized chromatographic signal and a reasonable analysistime. In addition, the lower extraction time can extend thelifetime of the SPME fiber.
The extraction temperature presents several effects onextraction efficiency. The temperature increases diffusion co-efficients and Henry’s constants while the time required toreach equilibrium decreases [54]. To evaluate the effect of tem-perature on SPME extraction efficiency, different extractiontemperatures (24, 30, 40, and 50�C) were investigated. Theresults concerning total GC-qMS peak area as a function oftemperature are illustrated in Fig. 3A. It can be observed thatthe extracted amount increases with the increase of the ex-traction temperature. Increase in extraction temperature willimproved the mobility of volatile compounds through liquid
Figure 3. Effect of the extraction temperature on the extractionefficiency of terpenoid metabolites from Saaz hop-essential oilby HS-SPME (fiber, 50/30 �m DVB/CAR/PDMS, extraction time, 30min; (A) total peak area of the terpenoid fraction; and (B) profileof the major terpenoid metabolites (a.u. arbitrary units).
and gas phases leading to an increase in extraction amounts.However, increasing temperature over 30�C, no significantincrease in the total response was observed. In addition, inwhat concerns the GC-qMS response (based on peak areas)as a function of temperature (Fig. 3A), a high reproducibilitywas obtained at 40�C (RSD = 2.9%) in comparison to 30�C(RSD = 11.4%) and 50�C (RSD = 16.4%), respectively; there-fore, 40�C was selected as extraction temperature for furtherstudies.
The absorption kinetics at different temperature of themost abundant terpenoid metabolites absorption found inhop-essential oil is shown in Fig. 3B. As well for extractiontime, and taking into account the three major compounds(�-myrcene, �-humulene, and �-caryophyllene), it can be ob-served that an extraction temperature of 30�C afforded thehighest extraction sorption for �-myrcene, in contrast to �-humulene and �-caryophyllene that extraction efficiency washighest when the HS-SPME extraction was performed at50�C. From these findings, an absorption temperature of 40�Cwas chosen in order to maximize the analytical response ofall compounds.
The conditions selected as optimal for the establishmentof the terpenoid metabolomics pattern from hop-essential oil
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2291
Figure 4. (A) A typical GC-qMS chromatogram of volatile fraction of the Saaz hop-essential oil isolated by HS-SPME (extraction conditions:DVB/CAR/PDMS fiber at 40�C during 30 min; for GC-qMS conditions see Section 2.5, for details on peaks identities see Table 2); and (B)pattern of the Saaz hop-essential oil terpenoid fraction obtained by HS-SPMEDVB/CAR/PDMS/GC-qMS methodology.
of Saaz variety were 50/30 mm DVB/CAR/PDMS fiber at40�C for 30 min.
3.1.3 Determination of terpenoid metabolites in
hop-essential oil derived from Saaz variety by
HS-SPMEDVB/CAR/PDMS/GC-qMS
The optimized HS-SPME/GC-qMS methodological condi-tions were used for profiling the terpenoid metabolomicspattern of the hop-essential oil from Saaz variety. A char-acteristic GC-qMS profile of Saaz hop-essential oil obtainedwith a DVB/CAR/PDMS fiber using the experimental opti-mized conditions is shown in Fig. 4A.
A total of 27 terpenoid metabolites (Table 2 and Fig. 4B)were identified in the HS of the essential oil from the Saazhop variety. Among these, 60.7% were monoterpene hydro-carbons, 37.7% were sesquiterpenes hydrocarbons, and it
also contained 1.52% oxygenated monoterpenes and 0.04%hemiterpenes. Table 2 shows the identified terpenoid metabo-lites, their RI values listed in order of elution on a BP-20capillary column, and the relative composition. The chemicalstructures of the terpenoid metabolites in the essential oil ofhop from Saaz variety are summarized in Fig. 5.
The major constituents in the hop-essential oil from Saazvariety were the monoterpene (5) �-myrcene (53.0 ± 1.1%of the total volatile fraction), and the cyclic sesquiterpenes(16) �-humulene (16.6 ± 0.8%) and (17) �-caryophyllene(14.7 ± 0.4%), which together account for 84.3 ± 1.5% of thevolatile essential oil. Metabolites found at low content include(4) �-pinene (1.8%), (19) methyl geranate (1.4%), (10) �-cis-o-cymene (0.7%), (22) (+)-�-cadinene (0.7%), and (6) limonene(0.5%). The results are according to Nance and Setzer [52],who reported that the main constituents of hop-essential oilderived from Saaz variety are �-myrcene, �-humulene, and�-caryophyllene.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2292 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
Figure 5. Chemical structures of terpenoid metabolites determined in hop-essential oil from Saaz variety.
These compounds are interesting from the standpointof pharmacological, because of their antimicrobial activity[55] as well as to their anti-inflammatory effects [56]. On theother hand, limonene (6) and �-pinene (4) have been reportedas antitumor [57] and antimicrobial [55] agents, respectively.Biological activities and odor description of some plant sec-ondary metabolites found in hop-essential oil derived fromSaaz variety are summarized in Table 3.
The odor threshold of �-myrcene (5) in water has beendetermined to range between 13 and 36 ppb [69], and so isexpected to exert a large impact on the odor profile of the es-sential oils. This has been supported in studies using GC-O[3]. It has odor descriptors of resinous, herbaceous, balsamic,and geranium-like [3]. �-Myrcene (5) and essential oils con-taining this monoterpene have been widely used as scentingagents in cosmetics, soaps, detergents, and as flavoring addi-tives in food and beverages. Lorenzetti et al. [70] reported that�-myrcene is a peripheral analgesic substance and the active
ingredient in lemongrass (Cymbopogon citratus) tea. This po-tion is widely used in folk medicine to treat gastrointenstinaldisturbances and as a sedative and antipyretic [3]. Farnesenewas found to be present in some cultivars but not in others.It was not found in the oils of Saaz hops. Dehydration of�-terpineol gives limonene (6), the major hydrocarbon of cit-rus oils but also present in hop-essential oil. Limonene (6) isprobably the precursor of the bicyclic monoterpenes such as�- (2) and �-pinene (4) and camphene (3). Limonene (6) canalso disproportionate into o-cymene (11) [3].
4 Concluding remarks
A HS-SPMEDVB/CAR/PDMS/GC-qMS methodology was devel-oped that allowed to profiling the terpenoid metabolomic pat-tern of hop-essential oil from Saaz variety.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2293
Ta
ble
3.
So
me
sele
cted
exam
ple
so
fth
eb
iolo
gic
alac
tivi
tyan
do
do
rd
escr
ipti
on
of
terp
enic
met
abo
lites
det
erm
ined
ines
sen
tial
oil
fro
mS
aaz
vari
ety
[53,
58–6
8]
Terp
ene
clas
sM
etab
olite
Odor
desc
riptio
nBi
olog
ical
activ
ityRe
fere
nces
Hem
iterp
ene
Isop
rene
Pene
tratin
gpe
trole
um-li
keod
orTh
erm
otol
eran
ce.
[58]
Tole
ranc
eof
ozon
ean
dot
herr
eact
ive
oxyg
ensp
ecie
s."S
afet
yva
lve"
toge
trid
ofun
wan
ted
met
abol
ites.
Mon
oter
pene
�-P
inen
eTe
rpen
ic,h
arsh
-pin
e-lik
e,w
eak
herb
alRe
pels
the
spru
cebe
etle
Dend
roct
onus
rufip
enni
sat
high
conc
entra
tions
,but
inte
rmed
iate
conc
entra
tions
elic
iten
tryan
dga
llery
cons
truct
ion.
[58]
Elic
itsol
fact
ory
rece
ptor
neur
ons
ofth
ew
eevi
lPis
sode
sno
tatu
s.En
hanc
esat
tract
ion
byTh
anas
imus
dubi
us,P
laty
som
acy
lindr
ica,
and
Corti
ceus
para
llelu
sto
the
pher
omon
esof
thei
rIps
prey
.M
onot
erpe
neCa
mph
ene
Cam
phor
aceo
us-o
ilyHa
vebe
enre
porte
dto
poss
ess
biol
ogic
alac
tivity
agai
nstG
ram
-pos
itive
and
Gram
-neg
ativ
eba
cter
ia.
[59]
Mon
oter
pene
�-P
inen
eRe
sino
us-p
iney
High
/med
ium
antim
icro
bial
effe
cts
agai
nstb
oth
Gram
-pos
itive
bact
eria
Stap
hylo
cocc
usau
reus
,Ent
eroc
occu
sfa
ecal
is,a
nda
high
activ
ityag
ains
tthe
Gram
-neg
ativ
eba
cter
iaEs
cher
ichi
aco
lian
dPr
oteu
svu
lgar
isas
wel
las
am
ediu
mon
eag
ains
tCan
dida
albi
cans
.
[55]
Mon
oter
pene
�-M
yrce
neRe
sino
us,h
erba
ceou
s,ba
lsam
ic,g
eran
ium
-like
1Hi
ghan
timic
robi
alac
tiviti
eson
lyag
ains
tEsc
heric
hia
coli
and
Prot
eus
vulg
aris
.[5
5]Ex
hibi
tgoo
dre
pelle
ntac
tivity
.M
onot
erpe
neLi
mon
ene
Mild
lyci
trus,
free
from
,cam
phor
aceo
usLo
tus
japo
nicu
spl
ants
infe
sted
with
two-
spot
ted
spid
erm
ites
(Tet
rany
chus
urtic
ae).
[58]
Sele
ctio
nof
the
ovip
ositi
onsi
teby
pred
ator
yho
verfl
ies
relie
son
the
perc
eptio
nof
avo
latil
ebl
end
com
pose
dof
prey
pher
omon
ean
dty
pica
lpla
ntgr
een
leaf
vola
tiles
.El
icits
olfa
ctor
yre
cept
orne
uron
sof
the
wee
vilP
isso
des
nota
tus.
Invo
lved
inth
ese
lect
ive
herb
ivor
yon
the
coni
ferP
inus
carib
aea
byth
ele
afcu
tting
antA
ttala
evig
ata.
Lim
onen
eha
sbe
ende
scrib
edin
the
liter
atur
eas
chem
opre
vent
ive
and
ther
apeu
ticag
ent
agai
nstm
any
tum
orce
lls.
Mon
oter
pene
�-P
hella
ndre
neHe
rbac
eous
,min
tyba
ckgr
ound
Have
been
repo
rted
due
toef
fect
inin
hibi
tion
the
path
ogen
Botry
tisci
nere
a.[5
8]M
onot
erpe
ne�
-tran
s-Oc
imen
eFr
esh-
terp
enic
,wea
kci
trus-
herb
alEx
posu
reof
Arab
idop
sis
thal
iana
toth
em
onot
erpe
neca
uses
incr
ease
dab
unda
nce
ofse
vera
lge
netra
nscr
ipts
and
incr
ease
dpl
antr
esis
tanc
eag
ains
tthe
path
ogen
Botry
tisci
nere
a.[5
8]
Gene
sof
the
octa
deca
noid
path
way
and
gene
skn
own
tore
spon
dto
octa
deca
noid
sar
eam
ong
the
mos
tpre
vale
ntw
ithin
the
stre
ss-g
ene
cate
gory
upre
gula
ted
inAr
abid
opsi
s.Th
e�
-oci
men
esy
ntha
seis
indu
ced
inLo
tus
japo
nicu
spl
ants
infe
sted
with
two-
spot
ted
spid
erm
ites
(Tet
rany
chus
urtic
ae).
Mon
oter
pene
�-T
erpi
nene
Herb
aceo
us,c
itrus
Have
been
repo
rted
topo
sses
sa
pote
ntre
pelle
ntac
tivity
.[6
0]M
onot
erpe
neo-
Cym
ene
n.i.a)
Reve
algo
odan
tibac
teria
lact
ivity
and
stro
ngan
tifun
galp
rope
rties
.[6
1]M
onot
erpe
ne�
-Ter
pino
lene
Plea
sant
,sw
eet-p
iney
,som
ewha
ttur
pent
ine
Exhi
biti
nsec
trep
elle
ntac
tivity
.[6
2]Pr
esen
tahi
gher
rela
tions
hip
with
the
antic
ance
ract
ivity
.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
2294 J. Goncalves et al. J. Sep. Sci. 2012, 35, 2282–2296
Ta
ble
3.
Co
nti
nu
ed
Terp
ene
clas
sM
etab
olite
Odor
desc
riptio
nBi
olog
ical
activ
ityRe
fere
nces
Sesq
uite
rpen
eYl
ange
neFr
uity
Ylan
gene
has
been
iden
tified
aska
irom
one
attra
ctan
tsfo
rmal
eM
edfly
.[6
3]Se
squi
terp
ene
�-C
ubeb
ene
Mild
wax
y,w
oody
�-C
ubeb
ene
has
been
iden
tified
aska
irom
one
attra
ctan
tsfo
relm
bark
beet
les
(Cur
culio
nida
e:Sc
olyt
inae
:Sco
lytu
ssp
p.).
[64]
Sesq
uite
rpen
e�
-Hum
ulen
eSo
ft-w
oody
,rem
indi
ngto
fresh
earth
,bal
sam
icPr
oduc
edin
high
amou
nts
inre
spon
seto
sim
ulta
neou
she
rbiv
ory
byth
epi
erci
ng–s
ucki
ngin
sect
wes
tern
flow
erth
rips
Fran
klin
iella
occi
dent
alis
and
the
chew
ing
herb
ivor
eHe
lioth
isvi
resc
ens.
[55,
58]
Prod
uced
bya
reco
mbi
nant
inse
ct-in
duce
dge
ne(A
lCar
S)w
ithhi
ghse
quen
cesi
mila
rity
toth
eflo
rally
expr
esse
d(E
)-�-c
aryo
phyl
lene
synt
hase
.M
ediu
man
timic
robi
alef
fect
sag
ains
tthe
Gram
-pos
itive
bact
eria
Ente
roco
ccus
faec
alis
and
Gram
-neg
ativ
eba
cter
iaEs
cher
ichi
aco
li,Ps
eudo
mon
asae
rugi
nosa
,and
Salm
onel
lasp
.Re
veal
anim
porta
ntan
ti-in
flam
mat
ory
prop
erty
.Se
squi
terp
ene
�-C
aryo
phyl
lene
Woo
dy,s
picy
Elic
itsel
ectro
ante
nnog
ram
resp
onse
s.[5
5,58
]In
volv
edin
inse
ctho
stlo
catio
n.In
volv
edin
the
sele
ctiv
ehe
rbiv
ory
onth
eco
nife
rPin
usca
ribae
aby
the
leaf
cutti
ngan
tAtta
laev
igat
a.Be
low
grou
ndsi
gnal
emitt
edby
inse
ctda
mag
edm
aize
root
s.In
duce
dby
apl
antp
atho
gen
and
perc
eive
dby
itsve
ctor
inse
ct,t
heph
loem
-feed
ing
psyl
lidCa
cops
ylla
pict
a.Bi
otra
nsfo
rmed
bypl
ant-h
oste
dba
cter
ia.
Rele
ased
byAr
abid
opsi
sup
onin
sect
feed
ing.
Stro
ngre
pelle
ntac
tivity
agai
nstA
.aeg
ypti.
High
antim
icro
bial
activ
ities
agai
nstt
heGr
am-n
egat
ive-
bact
eria
Pseu
dom
onas
aeru
gino
sa,
Prot
eus
vulg
aris
and
Salm
onel
lasp
.as
wel
las
med
ium
effe
cts
agai
nstt
heGr
am-p
ositi
veba
cter
iaEn
tero
cocc
usfa
ecal
isan
dth
eGr
am-n
egat
ive
bact
eria
Esch
eric
hia
coli.
Exhi
bita
nim
porta
ntan
ti-in
flam
mat
ory
prop
erty
.Se
squi
terp
ene
�-M
uuro
lene
Oily
,Her
bace
ous
Exhi
bita
ntifu
ngal
and
antib
acte
riala
ctiv
ity.
[53]
Oxy-
mon
oter
pene
Met
hylg
eran
ate
Flow
er,g
reen
,fru
itM
ethy
lger
anat
eha
sbe
enid
entifi
edas
pher
omon
epr
oduc
edby
Chlo
roch
roa
sayi
mal
es.
[65]
Sesq
uite
rpen
e�
-Sel
inen
eW
eak
spic
y,ba
lsam
ic,m
ildEx
hibi
tant
ifung
alan
dan
tibac
teria
lact
ivity
.[5
3]Se
squi
terp
ene
�-M
uuro
lene
Woo
dyPo
sses
san
tifun
gala
ctiv
ityag
ains
tCla
dosp
oriu
mcu
cum
erin
um.
[66]
Sesq
uite
rpen
e(+
)-�-C
adin
ene
Herb
aceo
usHi
ghan
timic
robi
alac
tiviti
esag
ains
tStre
ptoc
occu
spn
eum
onia
e.[6
7](+
)-�-c
adin
ene
isan
early
enzy
mat
icin
term
edia
tein
the
bios
ynth
esis
ofth
ese
squi
terp
enoi
dph
ytoa
lexi
nsby
upla
ndco
tton
Sesq
uite
rpen
eCu
bene
neW
eak
woo
dy,h
erba
l,sp
icy
�-C
uben
ene
has
been
iden
tified
aska
irom
one
attra
ctan
tsfo
relm
bark
beet
les
(Cur
culio
nida
e:Sc
olyt
inae
:Sco
lytu
ssp
p.).
[68]
Mon
oter
pene
3-Ca
rene
Citru
sfru
it,or
ange
peel
Exhi
bitr
epel
lent
activ
ityag
ains
tAno
phel
esga
mbi
ae.
[62]
Oxy-
mon
oter
pene
cis-
Gera
niol
Flor
al-r
ose,
gera
nium
Reve
alan
tibac
teria
lact
ivity
ata
broa
dsp
ectru
m.
[62]
Exhi
biti
nsec
trep
elle
ntac
tivity
.
a)N
oin
form
atio
n.
C© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim www.jss-journal.com
J. Sep. Sci. 2012, 35, 2282–2296 Other Techniques 2295
The importance of terpenoids is not limited to theiraromatic properties; they are also associated to insect re-pellent activity and to desirable properties in the humanhealth.
Concerning the application of the developed methodol-ogy to the Saaz hop-essential oil, it was possible to identifyin their HS 27 terpenoids, which include 13 monoterpenes,ten sequiterpenes, three oxygenated monoterpenes, and onehemiterpene. According to GC-qMS analysis, the terpenoidfraction of the Saaz hop-essential oil is dominated by themonoterpene �-myrcene, and the cyclic sesquiterpenes �-humulene, and �-caryophyllene, which together account for84% of the volatile hop-essential oil. Considering the widerange of biological and pharmacological activities associatedto terpenoid metabolites, and taking into account the highestcontent of these metabolites in hop-essential oil derived fromSaaz variety, we can estimate that this matrix can be used as apowerful and valuable natural biosource of terpenoid metabo-lites. In brief, our findings suggested that the essential oil de-rived from hop Saaz variety and its effective constituents canbe explored as a powerful biological source for newer, moreselective, biodegradable and naturally produced antimicrobialand antioxidant compounds, as an environmentally friendlyalternative to synthetic chemicals to control some bacterialstrains, fungs, and insects.
Future works will include studies on biological activity ofthe hop-essential oil through the evaluation of their antibac-terial, antifungal, and antioxidant activity.
The authors acknowledge the Empresa de Cervejas daMadeira (ECM) for the supply of CO2 supercritical Saazhop-essential oil samples and Portuguese Foundation for Sci-ence and Technology (FCT) through the MS Portuguese Net-works (REDE/1508/REM/2005) and Pluriannual base funding(QUI-Madeira-674).
The authors have declared no conflict of interest.
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