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Identification of Volatile and Semi-Volatile Compounds in Polymeric Coatings Used in Metal Cans by GC-MS and SPME

Vázquez Loureiro, Patricia; Lestido Cardama, Antía; Sendón García, Raquel; López Hernández, Julia; Paseiro Losada, Perfecto; Rodríguez Bernaldo de Quirós, Ana Isabel

Abstract

Polymeric coatings are used as a protective layer to preserve food or beverage quality and protect it from corrosion and avoid a metallic taste. These types of materials can contain some chemicals that are susceptible to migrate to food and constitute a risk for consumers’ health. This study is focused on the identification of volatile and semi-volatile low molecular weight compounds present in polymeric coatings used for metal food and beverage cans. A method based on solid–liquid extraction followed by gas chromatography–mass spectrometry (GC-MS) was optimized for the semi-volatile compounds. Different solvents were tried with the aim of extracting compounds with different polarities. Furthermore, a method based on solid-phase microextraction (SPME) in headspace (HS) mode and gas chromatography coupled with mass spectrometry (HSSPME-GC-MS) was developed for the identification of potential volatile migrants in polymeric coatings. Some parameters such as extraction time, equilibrium temperature, or the type of fiber were optimized. Different compounds, including aldehydes such as octanal or nonanal, alcohols such as α-terpineol or 2-butoxyethanol, ethers, alkenes, or phthalic compounds, among others, were identified and confirmed with analytical standards both via SPME analysis as well after solvent extraction

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materials Article Identification of Volatile and Semi-Volatile Compounds in Polymeric Coatings Used in Metal Cans by GC-MS and SPME Patricia Vázquez-Loureiro , Antía Lestido-Cardama , Raquel Sendón , Julia López-Hernández , Perfecto Paseiro-Losada and Ana Rodríguez-Bernaldo de Quirós *   Citation: Vázquez-Loureiro, P.; Lestido-Cardama, A.; Sendón, R.; López-Hernández, J.; Paseiro-Losada, P.; Rodríguez-Bernaldo de Quirós, A. Identification of Volatile and Semi-Volatile Compounds in Polymeric Coatings Used in Metal Cans by GC-MS and SPME. Materials 2021,14, 3704. https://doi.org/ 10.3390/ma14133704 Academic Editor: Csaba Balázsi Received: 2 June 2021 Accepted: 28 June 2021 Published: 2 July 2021 Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https:// creativecommons.org/licenses/by/ 4.0/). Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Pharmacy, University of Santiago de Compostela, 15782 Santiago de Compostela, Spain; patriciavazquez.loureir[email protected] (P.V.-L.); [email protected] (A.L.-C.); [email protected] (R.S.); [email protected] (J.L.-H.); [email protected] (P.P.-L.) *Correspondence: ana.r[email protected]; Tel.: +34-88-181-4965 Abstract: Polymeric coatings are used as a protective layer to preserve food or beverage quality and protect it from corrosion and avoid a metallic taste. These types of materials can contain some chemicals that are susceptible to migrate to food and constitute a risk for consumers’ health. This study is focused on the identification of volatile and semi-volatile low molecular weight compounds present in polymeric coatings used for metal food and beverage cans. A method based on solid– liquid extraction followed by gas chromatography–mass spectrometry (GC-MS) was optimized for the semi-volatile compounds. Different solvents were tried with the aim of extracting compounds with different polarities. Furthermore, a method based on solid-phase microextraction (SPME) in headspace (HS) mode and gas chromatography coupled with mass spectrometry (HSSPME-GC-MS) was developed for the identification of potential volatile migrants in polymeric coatings. Some parameters such as extraction time, equilibrium temperature, or the type of fiber were optimized. Different compounds, including aldehydes such as octanal or nonanal, alcohols such as α -terpineol or 2-butoxyethanol, ethers, alkenes, or phthalic compounds, among others, were identified and confirmed with analytical standards both via SPME analysis as well after solvent extraction. Keywords: potential migrants; polymeric coatings; GC-MS; SPME 1. Introduction Migration of components from food contact material to food is a matter of concern from the food safety point of view. Special attention has been paid to low molecular weight compounds and particularly to unknown compounds. Their identification is a current challenge in the food packaging field [1]. Different materials have traditionally been used in food packaging including glass, metals, paper, paperboards, and plastics. Marsh et al. [ 2 ] reported some advantages and disadvantages of these typical materials used in beverage packaging, such as the susceptibility to breakages or the heavy weight in the case of glass. Metal cans are widely used, and they have several advantages over other materials as they are able to tolerate high temperature and pressure conditions [ 3 ]. Polymeric coatings are used as functional barriers between food and metal cans. They preserve the quality of food in terms of flavor, odor, and color, as well as extend shelf-life and help the metal can in protecting food from external agents such as light, oxygen, and microorganisms, and facilitate transport and storage of the canned food. Beverage packaging often combines several materials to exploit these properties. Multilayer systems, new approaches based on active or intelligent packaging or materials with lower environmental impacts are in development [2]. Beverage cans are one of the most used multilayer packaging materials, made of aluminum with an inner epoxy resin coating to prevent direct contact between food or Materials 2021,14, 3704. https://doi.org/10.3390/ma14133704 https://www.mdpi.com/journal/materials Materials 2021,14, 3704 2 of 14 beverage and the aluminum surface [ 4 ]. Final coatings are obtained by the addition of components such as cross-linkers, solvents, pigments, anti-foaming agents, adhesion promoters, resins, and surfactants [ 5 ]. During the polymerization process, side reactions can occur, and linear or cyclic byproducts may be formed. These unknown chemicals may migrate into food resulting in consumer exposure [6]. Epoxy resins are commercially used in coatings because of their exceptional adhesion due to the presence of polar hydroxyl and ether groups in their structure [ 7 ]. Besides this technical advantage, some drawbacks regarding their safety can be found in the literature; some authors have shown the potential migration of bisphenol A (BPA) from these materials to food [ 8 ]. Epoxy monomers such as bisphenol A-diglycidyl ether (BADGE) have been extracted from epoxy resins [ 9 ] and found in food simulants after migration assays [ 10 ], and other BADGE-based derivatives from epoxy coatings were also identified by Schaefer et al. [11]. Commission Regulation (EU) No. 10/2011 [ 12 ] established specific rules for plastic materials intended to come in contact with food. Currently, there is no specific European legislation for coatings. Both intentionally added substances (IAS) and non-intentionally added substances (NIAS) such as impurities, reaction byproducts, and degradation products can migrate into food, and they should be evaluated. These migrants may also be oligomers, prepolymers, catalyst, reaction accelerators, epoxidized edible oils, esters, waxes, lubricants, metals, etc. [ 13 , 14 ]. The migration of these chemicals from packaging to food and beverage is one of the main concerns of food safety authorities. Non-targeted methods using LC-MS or GC-MS are being widely employed for the identification of potential migrants in food packaging. Both techniques provide essential and complementary information necessary for a complete characterization of packaging materials. In GC-MS analysis, the use of commercial libraries helps the identification, although in the case of NIAS, they usually are not present in the databases. Bradley et al. [ 15 ] carried out an analysis via headspace GC-MS and a solvent extraction with acetonitrile followed by GC-MS to determine volatile compounds in epoxy phenolic can coatings. The authors detected bisphenol A, used as a starting substance in the manufacturing of the coating. More recently, Omer et al. [ 16 ] used GC-MS with different ionization sources, namely electron ionization (EI) and atmospheric pressure chemical ionization (APCI), and different mass spectrometers, specifically quadrupole, time-of-flight, and orbitrap, to investigate potential migrants in polyester–polyurethane lacquers. Several cyclic oligoester tetramers were identified in the two lacquers tested. In another study reported in the literature, GC-MS and highly accurate mass spectrometry was used for the analysis of bisphenol A alternative food-contact metal can coatings. Cyclic polyester oligomers from polyester-based coatings and bisphenol-type compounds, including tetramethyl bisphenol F, tetramethyl bisphenol F diglycidyl ether, and bisphenol F, among others, were identified [3]. The aim of this work was to develop a screening method for the identification of volatile compounds in polymeric coatings of metal cans for beverage packaging. For that purpose, a method based on solid–liquid extraction followed by gas chromatography–mass spectrometry (GC-MS) and a method based on solid-phase microextraction in headspace mode and gas chromatography coupled with mass spectrometry (HSSPME-GC-MS) were optimized. 2. Materials and Methods 2.1. Sample Description and FTIR Characterization A total of ten beverages packed in metal cans were bought in local supermarkets in Santiago de Compostela (Spain). All of them were two-piece cans. The internal surface of metal cans is often coated with a polymeric coating (with a thickness of about 2µm) to preserve food and avoid metal corrosion. The thickness of the samples analyzed ( metal + coating ) is provided in Table 1. The thickness of the packaging was measured with a manual digital micrometer (Mitutoyo-Japan, Kanagawa, Japan). The polymeric coatings were analyzed by using an attenuated total reflectance FTIR spectrometer and Materials 2021,14, 3704 3 of 14 were identified using the KnowItAll ® 17.4.135.B IR Spectral Libraries of Polymers and Related Compounds (Bio-Rad Laboratories, Inc., Hercules, CA, USA). Table 1. Sample descriptions. Code Beverage Polymeric Coating Thickness (µm) BC01 Traditional Beer Lat. Ext.: PU Lateral: 114.5 Lid: 313.0 Lat. Int.: Phx Lid Int.: Phx Lid Ext.: Phx BC02 Vodka mixed drink Lat. Ext.: PU Lateral: 109.0 Lid: 218.0 Lat. Int.: Phx Lid Int.: Epx Lid Ext.: Epx BC03 Mixed lemon flavour Lat. Ext.: PU Lateral: 104.0 Lid: 218.0 Lat. Int.: Phx Lid Int.: Phx Lid Ext.: Phx BC04 Energy Drink Zero Lat. Ext.: PU Lateral: 112.0 Lid: 264.0 Lat. Int.: Phx Lid Int.: Epx Lid Ext.: Epx BC05 Star Wars Space Punch Lat. Ext.: PP Lateral: 114.0 Lid: 331.0 Lat. Int.: Acrylic Lid Int.: Polyester Lid Ext.: Phx BC06 Green cola Lat. Ext.: PU Lateral: 115.0 Lid: 234.0 Lat. Int.: Phx Lid Int.: Phx Lid Ext.: Phx BC07 Tonic original Lat. Ext.: PU Lateral: 111.0 Lid: 258.0 Lat. Int.: Phx Lid Int.: Epx Lid Ext.: Epx BC08 Tonic water original Lat. Ext.: PU Lateral: 113.0 Lid: 230.0 Lat. Int.: Phx Lid Int.: Epx Lid Ext.: Epx BC09 Premium tonic water Lat. Ext.: PU Lateral: 123.0 Lid: 226.0 Lat. Int.: Acrylic Lid Int.: Polyester Lid Ext.: Phx BC10 Natural mineral water drink Lat. Ext.: PU Lateral: 103.0 Lid: 248.0 Lat. Int.: Phx Lid Int.: Epx Lid Ext.: Epx Epx: Epoxy resin; Ext.: external; Int: Internal; Lat: Lateral; Phx: Phenoxy resin; PP: Polypropylene; PU: Polyurethane. The pH of the beverage samples ranged between 2.56 and 6.60. A brief overview of the samples is presented in Table 1; and a more detailed description of the samples used in this study was described by Lestido-Cardama et al. [17]. Materials 2021,14, 3704 4 of 14 2.2. Sample Treatment 2.2.1. Solvent Extraction Procedure Samples were opened, emptied, and washed with warm water before analysis. Cans were cut into small pieces (approximately 0.5 cm 2 ), then 0.8 g were weighted in a vial and 5 mL of methanol was added and afterward the vial was hermetically sealed. The extraction was performed in an oven at 70 ◦ C for 24 h. One aliquot was then removed with a 0.22 µm polytetrafluoroethylene (PTFE)-membrane filter and analyzed via GC-MS. 2.2.2. SPME Procedure An SPME holder for manual sampling and commercial fibers was purchased from Supelco (Bellefonte, PA, USA). Fibers with different coating materials were tested: a divinylbenzene-Carboxen-polydimethylsiloxane (DVB/PDMS/CAR) fiber with 50–30 µ m thickness and a Carboxen-polydimethylsiloxane (CAR-PDMS) fiber with 100 µ m thickness. Prior to use they were conditioned by inserting them into the GC injector according to the supplier’s instructions: for 1 h at 270 ◦C and 0.5 h at 250 ◦C, respectively. For each experiment, 0.8 g of each sample, previously cut into small pieces (approximately 0.5 cm 2 ) were weighted into a 20 mL headspace vial and sealed with a PTFE-faced silicone septum (Cromlab, Barcelona, Spain). The SPME fiber was put into the vial, and this was heated at 100 ◦ C for 30 min. The fiber was then desorbed into the GC injector for 10 min at 200 ◦ C. The compounds absorbed by the fiber were separated via gas chromatographic analysis and identified using the MS detector operating in the described conditions below. 2.3. Reagents and Analytical Standards Acetonitrile HPLC grade, methanol, and hexane GC-MS grade were supplied by Merck (Darmstadt, Germany). Ethanol for analysis was supplied by Merck (Darmstadt, Germany). The 2-butoxyethanol, spectrophotometric grade with a purity of ≥ 99.0%, 2,2dimethyl-1,3-propanediol with a purity of 99.0%, octanal with a purity of 99%, D-Limonene, ε -Caprolactam; 2,6-Di-tert-butyl-1,4-benzoquinone with a purity of 98.0%, diethyl phthalate with a purity of 99.5%, benzophenone with a purity of ≥ 99.0%, benzoic acid with a purity of 99.5%, vanillin with a purity of 99.0%, 2,4-ditertbutylphenol with a purity of 99.0%, and α -terpineol were purchased from Sigma Aldrich (Steinheim, Germany). Nonanal with purity of 98.7% was purchased from Supelco (Bellefonte, PA, USA). The 2-phenoxyethanol with purity of ≥ 99.0% was supplied by Fluka (Seelze, Germany). Working solutions were prepared by diluting different amounts of the stock standard solution in methanol. 2.4. GC-MS Conditions for Solvent Extraction Samples A Trace 1300 gas chromatograph equipped with a programmed split/splitless injector, a 1310 autosampler, and an ISQ LT Single Quadrupole mass spectrometer (Thermo Electron Corp., Madison, WI, USA) were used to perform the GC analyses. The separation was performed on a Rxi-5Sil MS (30 m × 0.25 mm × 0.25 µ m) column from Restek (Bellefonte, PA, USA). The operating conditions were the following: the injector temperature was 300 ◦ C and the temperature of the transfer line of the detector was 300 ◦ C. The oven temperature was set as follows: initially the temperature was set at 40 ◦ C for 2 min, then increased at a rate of 9 ◦ C/min until 300 ◦ C and held for 12 min. Injection was performed in splitless mode, and the injection volume was 1 µ L. The carrier gas was helium with a flow rate of 1 mL/min. The mass spectrometer was operated in electron impact ionization mode with a full scan range between 20 and 500 m/z. Data analysis was performed using Xcalibur version 4.1 and the NIST/EPA/NIH 11 mass spectral library (version 2.0) and Wiley Registry TM 8th edition database were used for identification. 2.5. GC-MS Conditions for SPME Analysis A Thermo Finnigan Trace GC gas chromatograph and a Finnigan Trace DSQ mass selective detector (Thermo Scientific, Waltham, MA, USA) were used to perform all GC Materials 2021,14, 3704 5 of 14 analyses. For SPME analyses, an Rxi-624Sil MS (30 m × 0.25 mm × 1.40 µ m) column from Restek (Bellefonte, PA, USA) was used, and the separation of compounds was performed under the following operating conditions: the injector temperature was set at 200 ◦ C and the transfer line temperature was 250 ◦ C. The ramp temperature was set from 45 to 250 ◦ C. The mass spectrometer operated in full scan mode (between 20 and 500 m/z). Data analysis was performed using Xcalibur version 2.0.7 and the NIST/EPA/NIH 11 mass spectral library (version 2.0) and Wiley Registry TM 8th edition database were used for detection and identification. In order to estimate the toxicity of the identified compounds, an in silico method, namely Cramer rules were applied. For that, the software Toxtree was used [ 18 ]. According to Cramer rules, substances are classified based on their chemical structure into Class I (low toxicity), Class II (intermediate toxicity) and Class III (high toxicity). Thus, Class I comprises substances with simple chemical structures such as common carbohydrates, acyclic aliphatic hydrocarbons, and so on. Class II includes substances that possess structures that are less innocuous than those of Class I but do not contain substances with structural features that suggest toxicity like substances of Class III. Examples of Class II substances are common components of food, substances containing no functional groups other than alcohol, aldehyde, acid, ester, etc. Class III includes substances with chemical structures that may suggest significant toxicity or contain reactive functional groups. Examples of substances belonging to this Class are certain benzene derivatives, certain heterocyclic substances, etc. [19]. 3. Results and Discussion 3.1. Solvent Selection for Can Extraction Different solvents were tested with the aim to extract compounds with different polarities present in the coating of metal cans. Samples were extracted under different conditions, both methanol and acetonitrile for 24 h at 70 ◦ C, hexane for 4 h at 60 ◦ C, and a mixture of hexane and ethanol (3:1 v/v) for 24 h at 20 ◦ C. In Figure 1, chromatograms obtained after extraction with different solvents are shown. Methanol was the solvent selected for extraction because more peaks were detected and identified. Table 2lists the compounds detected after extraction with different solvents. As the analyzed samples were already in contact with the drink, some of the identified compounds may have their origin in food. On the other hand, it is interesting to note that flavorings are commonly used in these beverages, thus some of the detected compounds in the samples are authorized as food flavorings in the European Union [ 20 ]. These compounds are indicated in the table with their corresponding Flavis Number (FL No.). Some of them are, for example, benzoic acid methyl ester and caprylic acid methyl ester. Materials 2021, 14, x FOR PEER REVIEW 6 of 17 Figure 1. Chromatograms of sample BC04 extracted with different solvents. Table 2. Comparison of the most abundant detected compounds in sample BC04 using different extraction solvents. Tr/min Compound CAS Fl No. MeOH ACN Hex Hex: EtOH (3:1 v/v) 10.56 Benzoic acid methyl ester 93-58-3 09.725 x 11.01 Caprylic acid methyl ester 111-11-5 09.117 x 12.97 Adipic acid methyl ester 627-93-0 x 17.17 Lauric acid methyl ester 111-82-0 09.101 x 17.55 Unknown compound (m/z 129) x 18.07 Diethyl phthalate * 84-66-2 x x x 19.92 Ester x 20.25 Unknown compound (m/z 56) x 21.71 Thiophene x 25.07 Unknown compound (m/z 151) x 25.56 Adipate structure x x x x Figure 1. Chromatograms of sample BC04 extracted with different solvents. Materials 2021,14, 3704 6 of 14 Table 2. Comparison of the most abundant detected compounds in sample BC04 using different extraction solvents. Tr/min Compound CAS Fl No. MeOH ACN Hex Hex: EtOH (3:1 v/v) 10.56 Benzoic acid methyl ester 93-58-3 09.725 x 11.01 Caprylic acid methyl ester 111-11-5 09.117 x 12.97 Adipic acid methyl ester 627-93-0 x 17.17 Lauric acid methyl ester 111-82-0 09.101 x 17.55 Unknown compound (m/z129) x 18.07 Diethyl phthalate * 84-66-2 x x x 19.92 Ester x 20.25 Unknown compound (m/z56) x 21.71 Thiophene x 25.07 Unknown compound (m/z151) x 25.56 Adipate structure x x x x 25.65 Adipate structure x x x x 30.43 Unknown compound x x x x * Substances confirmed with a standard solution. Ester compounds were mainly identified in extraction with methanol as a solvent. Some studies show the migration of these types of compounds in cured varnishes used in food packaging [ 21 ]. In this work, samples were extracted with ethanol 95% (v/v). Adipic acid has been reported as a chemical intermediate used in the manufacturing of polyurethane resins [22]. 3.2. Optimization of SPME Method In the present work, a method based on solid-phase microextraction in headspace mode and gas chromatography coupled with mass spectrometry (HSSPME-GC-MS) was developed for the identification of potential migrants in polymeric coatings. SPME is an easy, cheap, and clean method to use, although there is a for need further optimization in terms of equilibrium of experimental conditions such as heating temperature, extraction time, sample volume, concentration of volatiles, and sample matrix [ 23 ]. For that purpose, some parameters such as extraction time, equilibrium temperature, or the type of fiber were optimized. The effect of extraction temperature, extraction time, and desorption time was evaluated using the fiber DVB-CAR-PDMS. Firstly, the extraction time was optimized. Different times were tested (10, 30, and 60 min ), keeping extraction temperature (40, 70, and 100 ◦ C), equilibration time (2 min), and desorption time (10 min) fixed. Under these conditions the best results were found at 30 and 60 min of extraction because more peaks were identified and with a higher intensity, and there was hardly any difference between the two tested times, therefore, 30 min of extraction was selected. Once the time of extraction was optimized, the temperature was studied ranging from 40 to 100 ◦ C. The difference in the sensitivity and the number of peaks detected was related with the increase of the temperature. The effects of temperature and extraction time were evident from the chromatograms obtained under the following conditions: 40, 70, and 100 ◦ C for 10, 30, and 60 min. An increase in the peak chromatographic area was found, especially with the less volatile compounds at higher temperatures. Machiels et al. [ 24 ] reported that highly volatile compounds were not affected by desorption time and less volatile compounds needed more time to desorb. Materials 2021,14, 3704 7 of 14 The next parameter that was optimized was the amount of the sample used, which was considered between 0.8 g and 2 g. Finally, the amount 0.8 g was chosen because larger amounts of sample did not lead to higher intensity of the chromatographic peaks. It is important to get a well-balanced compromise between sensitivity and extraction rate, particularly with respect to the extraction temperature, to achieve a careful optimization of each parameter. Best results and with the higher peak intensities were obtained for 30 min at 100 ◦ C with 2 min of equilibration time and 10 min of desorption time. Selection of the Type of Fiber The selection of the fiber and SPME extraction conditions can affect the sensitivity and accuracy of SPME analysis. Park et al. [ 25 ] affirmed that using two-phase fibers (Carboxen-PDMS) seems to be more suitable for measuring low molecular weight compounds, whereas three-phase fibers (DVB-Carboxen on PDMS) appeared to be more appropriate for measuring high molecular weight compounds. DVB-CAR-PDMS fiber has shown the best sorption capacity for some compounds such as food packaging contaminants in alcoholic beverages. In our study, a DVB/PDMS/CAR fiber with 50–30 µ m thickness and a CAR-PDMS with 100 µ m thickness were tested. Peak areas from decanal, 2-oxepanone and diethylphthalate, which were the most abundant peaks, were compared between both types of fibers, with the first one achieving the higher response. This fact confirms that DVB/PDMS/CAR fiber is more appropriate to separate volatile compounds with higher molecular weight. 3.3. Can Coatings Analysis via GC after a Solvent Extraction GC-MS was used to tentatively identify semi-volatile compounds that could potentially migrate from polymeric coatings. A GC-MS method that covered a wide mass range (from 35 to 500 m/z) with a suitable gradient of temperatures was used. Samples were injected in splitless mode. Results obtained are shown in Table 3. Only compounds with appropriate direct matching factors (SI) and reverse search matching (RSI) are identified in Table 3. In general, values of 900 or greater are considered an excellent match, 800–900 a good match, and 700–800 a fair match. For those compounds whose identification was not achievable, the most abundant m/zis specified. Table 3. Compounds identified via GC-MS analysis after extraction with MeOH as a solvent. Tr/min Compound CAS Fl No. SI RSI Sample(s) TC 10.56 Benzoic acid methyl ester 93-58-3 09.725 745 857 BC04 I 11.01 Caprylic acid methyl ester 111-11-5 09.117 701 789 BC04 I 11.37 2-Oxepanone 502-44-3 729 862 BC06, BC07 I 12.34 α-Terpineol * 98-55-5 02.014 902 936 9 III 12.97 Adipic acid methyl ester 627-93-0 794 867 BC01, BC03, BC04, BC06–BC08 I 14.2 Isobenzofuran-1,3-dione 85-44-9 841 922 BC02, BC05, BC07, BC10 III 15.58 Unknown diol BC05 16.93 (+)-Ledene 21747-46-6 893 927 BC09 I 17.17 Lauric acid methyl ester 111-82-0 09.101 855 878 BC01–BC10 I 17.55 Ester structure (m/z129) BC01–BC10 18.08 Diethyl phthalate * 84-66-2 929 938 BC01–BC05, BC09, BC10 I 18.37 Unknown compound (m/z107, 163) BC09 19.28 Dodecalactone 2305-05-7 10.019 855 894 BC05 II 19.92 Ester structure (m/z129) BC01–BC10 20.29 Unknown compound (m/z56, 111) BC08 Materials 2021,14, 3704 8 of 14 Table 3. Cont. Tr/min Compound CAS Fl No. SI RSI Sample(s) TC 20.72 Butyl octyl phthalate 84-78-6 714 758 BC02 I 20.99 Ketone structure BC05, BC07 21.53 Unknown compound m/z(45, 109) BC05 21.73 2-Isobutyl-5-propylthiophene 4861-63-6 BC01–BC06, BC08–BC10 III 21.99 7,9-Di-tert-butyl-1oxaspiro[4,5]deca-6,9-diene-2,8dione 82304-66-3 BC05 III 22.33 and 23.3 Unknown compound (Phthalate structure m/z: 149) BC02, BC05, BC07 23.81 Unknown compound (m/z151) BC06–BC08, BC10 25.08 Unknown compound (m/z151) BC01, BC02, BC04, BC08–BC10 25.56 Unknown compound (m/z129, 111) BC01–BC10 25.65 Unknown compound (m/z129, 111) BC01–BC010 26.53 Unknown compound (m/z163) BC08, BC10 27.19 α-Methyl-δ-oxo-2-phenyl-1,3dioxolane-2-heptanenitrile 58422-90-5 782 940 BC02, BC05, BC07, BC09, BC10 III 27.42 Hexa(methoxymethyl)melamine 68002-20-0 857 874 BC01BC03, BC05, BC08, BC10 III 27.87 Unknown compound (m/z143, 111) BC08 28.4 Unknown compound (Phthalate structure m/z149) BC02, BC05, BC07, BC09, BC10 29.96 Unknown compound (m/z301) BC02, BC05, BC09, BC10 30.46 Unknown compound (m/z69, 81) BC08 32.45 Unknown compound (m/z345) BC02, 5 BC0, BC09, BC10 35.36 Unknown compound (Phthalate structure m/z: 149) BC02, BC05, BC010 35.95 Unknown compound (m/z389) BC02, BC05, BC09 * Substances confirmed with a standard solution. Volatile compounds coming from the beverage were detected. Thus, different esters (e.g., benzoic acid methyl ester, lauric acid methyl ester, etc.) were identified. Esters were reported by Dragone et al. [ 26 ] in alcoholic distilled beverages, which contribute to the greatest proportion of the total aroma. The analysis was performed using dichloromethane as an extraction solvent and the compounds were separated on a CP-Wax 52 CB ( 50 m ×0.25 mm i.d., 0.2 µ m film thickness, Chrompack). Ledene, a sesquiterpene hydrocarbon, has also been found in natural products [ 27 ]. α -Methylδ -oxo-2-phenyl-1,3dioxolane-2-heptanenitrile has been reported as a precursor of thymol and a carvacrol and eugenol intermediary [ 28 ]. Moreover, flavorings authorized in the EU [ 20 ], such as α -terpineol and dodecalactone, were identified in different samples. These substances belong to Class III and Class II, according to Cramer rules, respectively. With respect to compounds coming from the packaging materials, several plasticizers, including phthalates (e.g., diethyl phthalate, butyl octyl phthalate), were identified in almost all samples. Chemicals of phthalate esters (PAEs) can act as endocrine disruptors and lead to adverse effects on organisms even in a low concentration [ 29 ]. They can also induce various etiological diseases of humans, such as disorders of the male reproductive tract, breast and testicular cancers, and dysfunction of the neuroendocrine system [ 30 ]. Isobenzofuran-1,3-dione, also called phthalic anhydride, was identified in samples BC02, BC05, BC07, and BC10. The most important derivatives of this compound Materials 2021,14, 3704 9 of 14 are plasticizers and also polyester resins and dyes [ 31 ]. This compound has been classified as high toxicity (Class III), according to Cramer rules. Besides, it can be part of a curing agent system used during the manufacturing of an epoxy resin [ 32 ]. Other compounds identified include 2-oxepanone and hexa(methoxymethyl)melamine. The lactone has been reported as a degradation product of polyurethanes and in this study the analysis was carried out by pyrolysis-gas-chromatography/mass spectrometry [ 33 ], and hexa(methoxymethyl)melamine is widely employed as a cross-linking agent in coatings [ 34 ]. This compound belongs to Class III, according to Cramer rules. A NIAS compound, specifically 7,9-di-tert-butyl-1-oxaspiro[4,5]deca-6,9-diene-2,8-dione (Figure 2), was identified in sample BC05 and it presents high toxicity (Class III). This compound has been reported as a degradation product of the antioxidant Irganox 1010 and has been found in several samples of both plastic and paper packaging and in polyurethane adhesives [ 35 , 36 ]. In plastic materials the analyte was determined in aqueous extracts using the purge and trap method combined with GC-MS [36]. Materials 2021, 14, x FOR PEER REVIEW 11 of 17 Figure 2. Chemical structure of 7,9-di-tert-butyl-1-oxaspiro[4,5]deca-6,9-diene-2,8-dione. For some compounds, despite their high abundance, identification was not possible with the spectral libraries available, such as the compounds at 28.4 min (m/z 149, which is the characteristic mass of phthalates compounds), 29.97 min (m/z 301), 32.45 min (m/z 345), 35.37 min (m/z 149), and 35.95 min (m/z 389). Detailed information about the mass spectra of the unidentified compounds is available in the electronic Supplementary Material. 3.4. Can Coatings Analysis via SPME The compounds detected after the extraction with SPME are summarized in Table 4. Only compounds with appropriate direct matching factors (SI) and reverse search matching (RSI) are included. For those compounds whose identification was not achievable, the most abundant m/z is specified. Table 4. Compounds identified via SPME GC-MS analysis. Tr / min Compound CAS Fl No. SI RSI Sample(s) TC 9.61 Propylene glycol 57-55-6 571 818 BC04 I 13.72 2-Butoxyethanol * 111-76-2 02.242 866 925 BC01–BC10 I 15.37 α-Terpinene 99-86-5 01.019 586 754 BC09 I 15.61 Benzaldehyde 100-52-7 05.013 631 865 BC01, BC05 I 15.85 2,2-Dimethyl1,3-Propanediol * 126-30-7 821 892 BC01, BC02, BC03, BC04, BC08 I 16.11 Octanal * 124-13-0 05.009 505 701 BC04 I 16.28 1,2,3,4-Tetramethyl benzene 488-23-3 849 879 BC09 I 16.43 Limonene * 5989-27-5 01.045 916 924 BC02, BC03, BC05–BC08 I 16.5 p-Cymene 99-87-6 01.002 909 926 BC02, BC03, BC06, BC09 I 16.69 1-Hexanol-2ethyl 104-76-7 02.082 809 913 BC05, BC06, BC08 I 17.05 g-Terpinene 99-85-4 01.020 882 894 BC02, BC09 I 17.68 Terpinolene 586-62-9 01.005 795 864 BC02 I 18.07 Benzene structure BC02, BC05, BC07, BC09 Figure 2. Chemical structure of 7,9-di-tert-butyl-1-oxaspiro[4,5]deca-6,9-diene-2,8-dione. For some compounds, despite their high abundance, identification was not possible with the spectral libraries available, such as the compounds at 28.4 min (m/z149, which is the characteristic mass of phthalates compounds), 29.97 min (m/z301), 32.45 min (m/z345), 35.37 min (m/z149), and 35.95 min (m/z389). Detailed information about the mass spectra of the unidentified compounds is available in the electronic Supplementary Material. 3.4. Can Coatings Analysis via SPME The compounds detected after the extraction with SPME are summarized in Table 4. Only compounds with appropriate direct matching factors (SI) and reverse search matching (RSI) are included. For those compounds whose identification was not achievable, the most abundant m/zis specified. Table 4. Compounds identified via SPME GC-MS analysis. Tr/min Compound CAS Fl No. SI RSI Sample(s) TC 9.61 Propylene glycol 57-55-6 571 818 BC04 I 13.72 2-Butoxyethanol * 111-76-2 02.242 866 925 BC01–BC10 I 15.37 α-Terpinene 99-86-5 01.019 586 754 BC09 I 15.61 Benzaldehyde 100-52-7 05.013 631 865 BC01, BC05 I 15.85 2,2-Dimethyl-1,3-Propanediol * 126-30-7 821 892 BC01, BC02, BC03, BC04, BC08 I 16.11 Octanal * 124-13-0 05.009 505 701 BC04 I 16.28 1,2,3,4-Tetramethyl benzene 488-23-3 849 879 BC09 I 16.43 Limonene * 5989-27-5 01.045 916 924 BC02, BC03, BC05–BC08 I