Next Article in Journal
A Knowledge-Based Cognitive Architecture Supported by Machine Learning Algorithms for Interpretable Monitoring of Large-Scale Satellite Networks
Next Article in Special Issue
Nanosensor Based on Thermal Gradient and Machine Learning for the Detection of Methanol Adulteration in Alcoholic Beverages and Methanol Poisoning
Previous Article in Journal
Deep Eutectic Solvents (DESs) and Their Application in Biosensor Development
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Internet of Food (IoF), Tailor-Made Metal Oxide Gas Sensors to Support Tea Supply Chain

by
Estefanía Núñez-Carmona
1,
Marco Abbatangelo
2,* and
Veronica Sberveglieri
1,2
1
CNR-IBBR, Institute of Bioscience and Bioresources, Via Madonna del Piano, 10, 50019 Sesto Fiorentino, FI, Italy
2
Nano Sensor Systems, NASYS Spin-Off University of Brescia, Brescia, Via Camillo Brozzoni, 9, 25125 Brescia, BS, Italy
*
Author to whom correspondence should be addressed.
Sensors 2021, 21(13), 4266; https://doi.org/10.3390/s21134266
Submission received: 16 April 2021 / Revised: 25 May 2021 / Accepted: 17 June 2021 / Published: 22 June 2021
(This article belongs to the Special Issue Chemical Sensors for Environment and Agri-Food Analysis)

Abstract

:
Tea is the second most consumed beverage, and its aroma, determined by volatile compounds (VOCs) present in leaves or developed during the processing stages, has a great influence on the final quality. The goal of this study is to determine the volatilome of different types of tea to provide a competitive tool in terms of time and costs to recognize and enhance the quality of the product in the food chain. Analyzed samples are representative of the three major types of tea: black, green, and white. VOCs were studied in parallel with different technologies and methods: gas chromatography coupled with mass spectrometer and solid phase microextraction (SPME-GC-MS) and a device called small sensor system, (S3). S3 is made up of tailor-made metal oxide gas sensors, whose operating principle is based on the variation of sensor resistance based on volatiloma exposure. The data obtained were processed through multivariate statistics, showing the full file of the pre-established aim. From the results obtained, it is understood how supportive an innovative technology can be, remotely controllable supported by machine learning (IoF), aimed in the future at increasing food safety along the entire production chain, as an early warning system for possible microbiological or chemical contamination.

1. Introduction

Tea is native to the northern hills at the foot of the Himalayas where the inhabitants chewed Camellia sinensis for medicinal purposes. The Chinese populations then invented preservation techniques to increase the shelf life and facilitate the transport of the product. Over time, the techniques have improved, and the cultivation areas have increased so as to arrive at the point today where many varieties are known [1].
It is one of the most consumed beverages worldwide, with an increase in the consumption of 23.4% in the last 7 years, reaching 297 billion liters by 2021. Generally, tea is an aromatic beverage prepared by pouring hot or steaming water over dried or fresh leaves of the Camellia sinensis (green, white, and Oolong teas), an evergreen shrub (bush) and Camellia assamica (black and Pu-Erh tea), which originate and are cultivated, respectively, in China and India [2,3].
The most produced and consumed teas worldwide are green and black teas [4].
Tea is an infusion, but not all infusions are tea, as there are infusions or herbal teas that originate from red fruits, chamomile, mint, lavender, etc.
The tea leaves undergo different treatments that determine their classification. Spices or herbs are added to the basic tea in order to spice up the flavor and taste. The first classification is based on the fermentation treatment and is also the classification used at customs; in particular, we have:
  • Fermented tea: black and Pu-Erh tea
  • Unfermented tea: green and white tea,
  • Partially or semi-fermented tea: Oolong tea.
In addition to this classification, the teas are placed in other classes based on the following specific treatments: scented tea, flavored tea, smoked tea, blends, pressed teas, and a bouquet of tea and flowers.
There are many distinctive types of tea; some, such as Darjeeling, Ceylon, Oolong, etc., have cooling, slightly bitter, and astringent flavors, [5,6,7,8] while others have vastly different profiles that include sweet, nutty, floral, or grassy notes.
Tea leaves contain thousands of chemical compounds and release volatile compounds (VOCs), which contribute to the definition of product quality [9,10,11,12,13,14].
The aroma is one of the determining factors in the quality of tea and is due to the volatile compounds. Volatile compounds are mainly responsible for the flavor and aroma of the infusion, and many of them are not present in the fresh leaf but develop after processing.
There are more than 600 volatile compounds (VCs) in tea, resulting from the enzymatic action on odorless compounds present in the leaf that are released after rolling and fermentation [15]. The volatile aromatic compounds differ according to the types of tea, both for the “different” fresh material and for different production processes, without forgetting that the final consumer requires that the purchased product be recognized and standardized.
Recent research has shown that the volatile aromatic components of tea are influenced by several factors: cultivar, area of cultivation, cultural practices, production methods, and conservation [16,17,18,19].
Many kinds of classical analytical chemical techniques such as the gas chromatography coupled with mass spectrometry (GC-MS) have been largely used and have demonstrated their accuracy and specificity, but present important limits are normally expensive and time consuming and require appropriately trained staff to operate them.
On the other hand, an innovative tailor-made gas sensor device named small sensor systems (S3) has been applied broadly in the quality control in food the field and environmental monitoring as well exhibiting remarkable results [20,21,22].
This innovative device, S3, is fast, remotely controllable, totally user friendly, and, once trained, does not need any special skilled staff to operate it. In particular the S3 device is totally tailor-made for the specific application. That is, the sensors are grown, calibrated, and used on the basis of the class of VOCs on which they will be used, thus managing to obtain greater sensitivity and accuracy.
It can then be easily inserted into the production chain, for the evaluation of quality standards or to follow, for example, the evolution of the product over time.
The goal of this study is the characterization of the aroma of different types of tea and the definition of their volatiloma through the use of two different approaches, to support the supply chain of tea. Providing a portable device capable of monitoring a greater quantity of product at low costs and very quickly in a noninvasive way to facilitate compliance with quality standards.

2. Materials and Methods

The samples taken into consideration belong to 3 more consumed worldwide types of tea: black tea, green tea, and white tea. In this study, 20 mL chromatographic vials were used, each filled with approximately one sachet, 2 ± 0.2 g of tea. The used sample, the code name, and the number of replicas used for each technique are represented in Table 1.
During the sampling process, no chemical extraction or thermal shock was carried out on the samples in order to keep the aroma of the dried product, to evaluate its actual characteristics. The vials were closed with aluminum caps containing polytetrafluoroethylene (PTFE) and silicone septa. The operational conditions were interpreted in Section 2.2, respectively.

2.1. GC-MS Analysis Conditions

After closure, vials were placed in the autosampler HT280T (HTA s.r.l., Brescia, Italy) to proceed with vial conditioning and volatile organic compound (VOC) extraction.
Conditioning of the sample was performed as follows: filled vials were maintained for 15 min at 40 °C in order to equilibrate the headspace (HS) of the sample and to remove any variables. Afterward, VOCs extraction was performed using solid-phase microextraction (SPME) analysis, and the fiber used for the adsorption of volatiles was a divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/PDMS) 50/30 µm (Supelco Co. Bellefonte, PA, USA) placed on the HT280T autosampler. The fiber was exposed to the vial HS in the HT280T oven thermostatically regulated at 40 °C for 15 min.
The GC instrument used in this work was a Shimadzu GC 2010 PLUS (Kyoto, KYT, Japan), equipped with a Shimadzu single quadrupole mass spectrometer (MS) MS-QP2010 Ultra (Kyoto, KYT, Japan). Fiber desorption took place in the GC–MS injector for 6 min at 250 °C. GC was operated in the direct mode throughout the run, while the separation was performed on a MEGA-WAX capillary column, 30 m × 0.25 mm × 0.25 μm film thickness, (Agilent Technologies, Santa Clara, CA, USA). Hydrogen was used as the carrier gas and has been produced by GENius PF500, FullTech Instruments Srl. (Rome, Italy) at a constant flow rate of 2.34 mL/min.
The GC oven temperature programming was applied as follows: at the beginning, the chromatographic column was held at 40 °C for 2 min and, subsequently, the temperature was raised from 40 to 100 °C at 2 °C/min. Next, the temperature was raised from 100 to 180 °C, with a rate of 5 °C/min; finally, the temperature was raised from 180 to 230 °C at a rate of 10 °C/min and was maintained for 5 min, for a total program time of 58 min [21,23,24].
During the analysis, the GC–MS interface was kept at 200 °C, with the mass spectrometer in the electron ionization (EI) mode (70 eV) and related to instrument tuning, and the ion source was kept at 200 °C. Mass spectra were collected over 35 to 500 m/z, in a range in the total ion current (TIC) mode, with scan intervals at 0.3 s. VOC identification was carried out using the NIST11 and the FFNSC2 libraries of mass spectra.
Chromatogram peak integration was performed using the peak area as target parameter programming an automatic integration round, using 70 as the minimum number of peak detection and 500 as the minimum area to detect. Other parameters used in the automatic peak integration were slope 100/min, width 2 s, drift 0/min, and doubling time (T.DBL) 1000 min, and no smoothing method was applied. The final round of peak integration was performed by manual peak integration for all the obtained chromatograms.

2.2. S3 Analysis Conditions

The chosen sensors for the application were installed on the S3 device, an acronym that stands for small sensor system.
The device that was designed and built by Nasys S.r.l. (www.nasys.it, accessed on 21 June 2021) is an innovative spin-off born in the University of Brescia, where tailor-made sensors were produced.
S3 is composed of three essential parts: (A) sensors chamber, (B) fluid dynamic circuit for the distribution of volatile compounds, and (C) electronics control system.
(A)
The sensors are housed inside a steel chamber isolated from the external environment, except for an inlet and an outlet path for the passage of volatile compounds. In addition to the MOX sensors, a temperature, humidity sensor, and a flow sensor are also allocated as necessary to take into account the number of variables during the analysis. The dimensions of the chamber are 11 × 6.5 × 1.3 cm.
On the 11 and 6.5 cm sides, 6 and 5 positions have been obtained, respectively: 10 positions were available for the use of metal oxide (MOX) sensors and one for the temperature and humidity sensor. The list of MOX used in this study is represented in Table 2, where the technology of production, RGTO (rheotaxial growth and thermal oxidation) or nanowire, the sensing material (SnO2 or CuO), and the working temperature are indicated.
(B)
The fluid dynamic circuit consists of a pump (Knf, model: NMP05B), polyurethane pipes, a solenoid valve, and a metal cylinder containing activated carbon for filtering possible interfering odors present in the environment. The pump flow is regulated by a needle valve placed at the chamber inlet; the flow range for tea analysis was set to 100 sccm.
(C)
The electronic boards make it possible to acquire the resistances of the sensors, the correct heating of the sensors themselves to their operating temperature, and the sending of data to the Web App dedicated to the S3 device through an internet connection. In addition, it allows communication and synchronization with an autosampler. This is an autosampler of the company HTA S.r.l. (model HT2010H) which allows one to prepare batches of 42 samples per measurement session. Tea samples were conditioned for 5 min at 40 °C with 1 min in a shaking mode in order to equilibrate the headspace (HS).
The RGTO technique requires two phases of deposition: the first step is the metallic thin film by DC magnetron sputtering from a metallic target to a substrate at higher temperatures than the melting point of the metal; and the second step is the thermal oxidation period in order to produce a metal oxide coating with stable stoichiometry [25]. The surface of the thin film is rough, and this is desirable since it has a high surface-to-volume ratio and reactivity to the gaseous species [26]. In addition, the presence of this very rough surface morphology, also known as ‘spongy agglomerates’, gives rise to a highly specific area required for high-sensitivity gas sensors [27]. Nanowires display extraordinary crystalline quality and a very high length-to-width ratio, resulting in improved sensitivity and long-term material stability for extended operation [28,29]. The fabrication method consists of the evaporation of the powder (metal oxide) at high temperatures in a controlled atmosphere at pressures of less than a hundred mbar (50–200 mbar) and the subsequent mass transfer of the vapor (50–100 sccm) to substrates held at lower temperatures in relation to the evaporation source area. This growth technique is called a vapor–liquid–solid (VLS) mechanism.
For SnO2 sensors, the powders are mounted in the middle of the furnace at 1370 °C, and the inert air flow at temperatures between 350 and 400 °C is used as a carrier from the furnace to the substrate where nanowires begin to develop [30].
S3 was previously used, with considerable success, in numerous studies applied to the field of food technology and quality control [31,32]. The output of the S3 analysis consists of the sensors’ resistance variation due to the interaction of VOCs with the sensing elements. The exposure to VOCs lasted 1 min, while 9 min passed to restore sensors’ baseline. Prior to analysis, the sensors’ responses in terms of resistance (Ω) were standardized relative to the first value of the acquisition (R0). This standardization was performed for each measure so that for all the sensors, the first point value was 1, smoothing differences in the starting value of resistances between the measures themselves. For all the sensors, the difference between the first value and the minimum value was determined during the time of analysis; thus, the value ΔR/R0 was derived. These features were used as input for principal component analysis (PCA). Here, PCA has been used to visualize the data cluster. By contrast, a hard approach to quantify the accuracy of the system was employed. In particular, the k-nearest neighbor (k-NN) algorithm was used with 5-fold crossvalidation technique. The aim of crossvalidation is to test the model’s ability to predict new data that were not used in estimating it, in order to counteract overfitting or selection bias. The accuracy provided is the mean of the accuracies of the 5 steps of prediction.

3. Results

3.1. GC-MS Results

After closure, vials were placed in the autosampler HT280T (HTA s.r.l., Brescia, Italy) to proceed with vial conditioning and volatile organic compound (VOC) extraction.
Regarding the data extracted from the GC-MS-SPME analysis, the volatile fingerprints for each tea were identified, and the tables are presented at the end of the article in Appendix A (Table A1, Table A2, Table A3, Table A4, Table A5, Table A6, Table A7, Table A8, Table A9, Table A10 and Table A11). It was possible to identify the common compounds between the green tea samples that are presented in Table 3.
In total, an average of 100 volatile compounds were found for each sample analyzed, of which only seven in common to all samples.
  • Cyanoacetic acid: (C3H3NO2) is an organic compound that has two functional groups: COOH typical of carboxylic acids and NC with triple bond typical of nitriles. It is obtained from the treatment of chloroacetate with sodium cyanide followed by acidification or electrolysis by cathodic reduction of carbon dioxide or the anodic oxidation of acetonitrile. It is a precursor of synthetic caffeine by theophylline [33].
  • Hexanal: (C6H10O) is an aldehyde. In the cell, it is contained in the cytoplasm. It has a sweet almond and honey flavor and is found in several foods including soy, cucumber, black elderberry, and black currant [33].
  • Limonene: (C10H16) is the most widespread and most important monoterpene. It has a lemon smell and turpentine-like notes. It is obtained by steam distillation of citrus peel and pulp obtained from the production of juice [33]. It should be specified that it is present as two isomers: R-LIMONENE and D-LIMONENE. In particular, it is R-LIMONENE in the SGP, while in the others, it is D-LIMONENE, and both isomers are present in the SGM.
  • 6-methyl, 5-hepten-2-one: (C8H14O) is an unsaturated ketone called sulcatone. It has a strong, greasy, green, citrus smell and tastes reminiscent of pear. It is obtained from citronella or citral oil by mixing for 12 h in aqueous solution with K2CO3 and subsequent distillation and fractionation under vacuum. It was originally identified in lemongrass; later, it was also discovered in the essential oils of lemons and geraniums. We also find this ketone in grapes, melon, peaches, avocados, cognac, mangoes, rice, olives, blueberries, and more [33].
  • Nonanal: (C9H18O) is an aldehyde. It has a strong and greasy odor which develops notes of orange and rose when diluted. The fat recalls the flavor of citrus fruits. It is synthesized by the catalytic oxidation of the corresponding alcohol or by the reduction of the respective acid. In nature, we find it in orange, mandarin, lemon, and lime oils. It is also found in more than 200 foods and beverages including apples, tomatoes, rum, wine, plum, coconut, cardamom, avocado, corn oil, broccoli, milk, eggs, tea, and others [34].
  • α-Terpineol: (C10H18O) is a monoterpenic alcohol. It has a characteristic smell of lilac with a sweet flavor reminiscent of peach. It is obtained from the hydration of the terpene or from the pentane tricarboxylic acid by cyclization or from the isoprene and methyl-vinyl-ketone. It is present in more than 150 derivatives of herbs, leaves, and flowers. Form D is found in cardamom, star anise, sage, and marjoram oil. The L form is present in lavender, lime, and cinnamon leaves. The racemic form is the eucalyptus [33,34].
  • 5,6,7,7a-Tetrahydro, 4,4,7a-Trimethyl-2(4H)–benzofuranone: (C11H16O2) is a heterocyclic compound. It has a coumarin and musky smell. This compound is formed from the photo-oxidation of carotene. The flavor is linked to the fruit and in particular to their point of ripeness. It is obtained from the degradation process of β-carotene in the presence of nitrogen and air. It occurs naturally in lemongrass and sweet grass oil [33].
On the other hand and regarding the GC-MS results from the black tea samples, it is possible to say that there were seven black teas subjected to GC-MS analysis, with different flavors and belonging to different origins and composition. The results obtained showed that there are four VOCs in common to all the samples (Table 4).
  • Nonanal: (C9H18O) is an aldehyde. It has a strong and greasy odor which develops notes of orange and rose when diluted. The fat recalls the flavor of citrus fruits. It is synthesized by the catalytic oxidation of the corresponding alcohol or by the reduction of the respective acid. In nature, we find it in orange, mandarin, lemon, and lime oils. It is also found in more than 200 foods and drinks including apples, tomatoes, rum, wine, plum, coconut, cardamom, avocado, corn oil, broccoli, milk, egg, tea, and others [34].
  • Ammonium acetate: (C2H7NO2) is an ammonium salt obtained from the reaction between ammonia and acetic acid. It is used to regulate acidity in food, even though the EU decided to ban its use as a food additive [33].
  • Phenylethyl alcohol: (C8H10O) is an alcohol. It has a characteristic rose odor and initially a slight bitter taste. The dessert is reminiscent of peaches. It is synthesized from toluene, benzene, or styrene. It is found in esterified form in rose concentrate or distilled rose water. It is present in the essential oil of lily, narcissus, and tea leaves but not only because it has been found in more than 200 foods and drinks including peaches, grapes, coffee, tea, mushrooms, mango, kiwi, rum, whiskey, milk, butter, cheese, and more [33,34].
  • 5,6,7,7a-Tetrahydro, 4,4,7a- trimethyl 2 (4H)—benzofuranone: (C11H16O2) is a heterocyclic compound. It has a coumarin and musky smell. This compound is formed from the photo-oxidation of carotene. The flavor is linked to the fruit and in particular to their point of ripeness. It is obtained from the degradation process of β-carotene in the presence of nitrogen and air. It occurs naturally in lemongrass and sweet grass oil [33].

3.2. S3 Results

For each analyzed tea type (black and green), a specific matrix was created as shown in the respective PCA scores plot. Conversely, the dataset used in the first PCA was obtained by joining the three tea types considered in an initial test to check the performances of the system. In Figure 1, the results obtained from the comparative analysis of the S3 for the samples belonging to the three types of teas BWL (white), TGO (green), and TBV (black) are represented.
Total explained variance reached a value of 80.11%, exhibiting a good cluster separation between the three different categories of teas. On the other hand, further exploration of the data was conducted proceeding the comparison of different green and black teas in order to explore the capacity of the instrument to distinguish the same type of tea (black or green) but with different treatments and/or aromatization. In Figure 2, the results of the analysis of SGP, SGL, and SMG for one RGTO sensor as the normalized resistance as a function of time (left) are represented; these results are more evident in the bar chart where the line on the bars is the indicated standard deviation of the mean (Figure 2b).
Regarding the result obtained, applying multivariate analysis to the signals obtained from all the sensors when measuring the types of green tea is represented in Figure 3.
The result obtained is very satisfactory, because considering the two main components, the total explained variance enclosed in the graph reaches 87.82%. The mean accuracy achieved with k-NN (k = 5) was equal to 88.57%.
Regarding the black teas, the samples that were taken into consideration were EBP, EBL, EBB, SBL, and TBC. Figure 4a,b clearly shows the different responses of a SnO2 RGTO sensor to the various black tea samples.
As before, PCA was then applied, and the results can be seen in Figure 5. The expected results were confirmed using PCA analysis, obtaining a good cluster separation, apart from the EBL, EBB, and EBP. The mean accuracy achieved with k-NN (k = 5) was equal to 83.45%.

4. Discussion

Regarding the GC-MS results from the treated green teas, an average of 100 volatile compounds were found for each sample analyzed, of which only seven in common to all samples (Table 3). As can be seen from the description, all are naturally occurring compounds in various foods and drinks, especially fruit and vegetables, except for cyanoacetic acid which is a precursor of synthetic caffeine. Volatile compounds give the tea floral, fruity, vegetable, spicy, and aromatic notes. On the other hand, regarding the GC-MS results from the black tea samples, seven teas were subjected to GC-MS analysis, with different characteristics. The results obtained showed that there were four VOCs in common to all the samples (Table 4). In general, EBP, SBL, and TBC were present in more than 100 VOCs, but in the others, about 90 have been found. The few compounds common to black teas can be explained by vanilla flavored black tea (TBV), which has fewer compounds in common with the other samples.
The four citrus-flavored samples (TBL, EBB, EBL, and SBL) have five compounds in common over the previous four: β-myrcene, D-limonene, Benzaldehyde, α-terpineol, and Carvone, which are present in citrus fruits both in essential oils and in peels. In TBV, there is a maximum peak in the direction of vanillin, which is the aromatic aldehyde that gives the vanilla aroma, which records an abundance of 8.287 × 106. In general, even in black teas, as already found in green teas, volatile compounds are present in nature and impart aromas that have floral, vegetable, spicy, fruity, and aromatic notes.
Nonetheless, the results obtained throughout the use of the sensor device show a good rate of identification for the teas, since more than the 80% of the explained variance was enclosed between PC1 and PC2, and good clustering capacity can be seen in Figure 2.
Taking into consideration the response of one of the RGTO sensors for the green teas’ analysis, in particular SGP, SGL, and SMG, it is evident, in the graphs of the normalized resistance as a function of time (Figure 2a), how the samples are well separated according to the different aromatization, even if some have similar values. In fact, as can be seen in Figure 2a, the violet and blue values are more similar to each other. It looks even better in bar charts where the line on the bars is the indicated standard deviation of the mean, highlighting its reproducibility (Figure 2b).
On Figure 3, the results of the PCA analysis performed on green teas measurements is shown, and it is evident the separation between the green tea samples, in particular SGP, is far from SGL and SGM. This result is important not only because the instrument is able to recognize the aromatization tea from the pure one, separating the 2 different ones which actually slightly overlap. The result obtained is very satisfactory, because considering the two main components, the total explained variance enclosed in the graph reaches 87.82%.
On the other hand, EBP, EBL, EBB, SBL, and TBC samples were taken into consideration for the analysis of the sensors’ response. Figure 4a,b clearly shows the different responses of a SnO2 RGTO sensor to the various black tea samples. This aspect is even more evident in the bar graphs (Figure 4b). It can be observed that the samples of EBP, EBB, and EBL, all of the same brand, have a variation that is very similar to each other, while the other two (SBL and TBC) have a very different variation from the first three and are also quite different between themselves. In this case, two samples of black tea aromatized with lemon were taken into consideration but of different brands, and as can be seen in the figures, the two are very different from each other, as the variation associated with SLB tea is much greater than that of ELB tea.
PCA analysis multivariate analysis for black teas (Figure 5) confirms the previous discussed data, obtaining a good cluster separation, apart from the EBL, EBB, and EBP. These last three samples belong to the same brand and have been reported previously from the sensor response to have a lower sensor response than the other two samples of black tea and consequently are all close and partly overlapping each other, in particular EBB and EBL. This last consideration can be explained by observing the chromatograms where it can be seen how EBB and EBL are mainly characterized by limonene and linalyl acetate, while in EBP, the spectrum has a net peak in correspondence with linalyl acetate and has in general a chromatogram that appears to be richer than the previous two. In this case, the explained variability enclosed by the main components greater than the one obtained for the green teas, in fact, is 98.8%, and also in this case, the greatest variation explained is always along the PC1.

5. Conclusions

The work was based on the analysis of 11 different samples of green, black, and white tea. By applying the two techniques GC-MS and S3, the complete determination of the aromatic profile of the teas was achieved, evaluating and highlighting the similarities and differences between them so as to arrive at a discrimination based on the VOCs profile. Nearly, 100 different volatiles were identified by the mean in each tea sample. The GC-MS requires a longer and, in some ways, more elaborate analysis, while S3 allows one to obtain the result in a shorter time and more easily and user-friendly way. It can be concluded that an innovative technology such as S3 has the potential to be used from farm to fork, in food companies and in the production chain, so as to report anomalous products and prevent them from reaching the market or in any case arriving at a final product that must be excluded because it is not safe. In fact, once the anomaly is reported, it would be possible to implement a correction or exclusion of the batch from the distribution chain. It should also be emphasized that the use of this sensor technology once trained would have a positive economic impact for the production business, is also easy to use, and, thanks to the connection to the network, allows for remote data processing. In a short-term future, this technology could be applied in industrial reality, so that food safety and the producer can benefit from it. This kind of technology could be also implemented in household environments, to control not only the dried product but also the final stage of the beverage. In fact, its use is not limited only to tea but can concern any foodstuff, as already demonstrated in other studies.

Author Contributions

Conceptualization, E.N.-C., M.A. and V.S.; methodology, E.N.-C., M.A. and V.S.; software, E.N.-C., M.A. and V.S.; validation, M.A. and V.S.; formal analysis, E.N.-C., M.A. and V.S.; investigation, E.N.-C., M.A. and V.S.; resources, V.S.; data curation, M.A., E.N.-C. and V.S.; writing—original draft preparation, E.N.-C., M.A. and V.S.; writing—review and editing, E.N.-C., M.A.; visualization, E.N.-C., M.A. and V.S.; supervision, V.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data available on request due to restrictions e.g., privacy or ethical.

Conflicts of Interest

The authors declare no conflict of interest.

Appendix A

In Appendix A, the data are presented that were extracted from the GC-MS-SPME analysis of the volatile fingerprints for each tea that have been analyzed in this work (Table A1, Table A2, Table A3, Table A4, Table A5, Table A6, Table A7, Table A8, Table A9, Table A10 and Table A11).
Table A1. Results for the TGO sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A1. Results for the TGO sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.745Acetic acid, cyano-168,502
0.8302-Amino-4-dimethylaminomethylenepentanedinitrile108,883
1.054Ethane-1,2-diimine, N,N′-diamino-109,436
1.065Acetone114,706
2.575Butanoic acid, ethyl ester3,839,625.5
3.264Hexanal722,081
4.2359-Tetradecen-1-ol, acetate, (E)-256,238
5.942D-Limonene13,781,429.5
6.6782-Hexenal213,594
6.993N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine377,968
7.628(+)-3-Carene, 10-(acetylmethyl)-259,938
7.6303(10)-Caren-4-ol, acetoacetic acid ester498,827
8.2861-Pentanol208,402
8.518Nonane, 5-(2-methylpropyl)-239,091
9.647Octanal165,442.5
10.7553-Ethyl-3-methylheptane114,704
10.9762-Heptenal, (Z)-207,932.5
11.9575-Hepten-2-one, 6-methyl-623,348
14.761Nonanal581,017.5
15.175Oxirane, [(tetradecyloxy)methyl]-193,068
15.666Oxalic acid, propyl undecyl ester165,284
16.2772-Undecenal, E-121,169
16.306Oxirane, 2,2′-(1,4-butanediyl)bis-119,155
17.1932-Furanmethanol, 5-ethenyltetrahydro-.alpha.,.alpha.,5-trimethyl-, cis-1,799,498
17.647Undecanol-4291,287
17.6783-Octanol, 3,6-dimethyl-239,713
18.343Ammonium acetate1,079,115.5
18.7682-Furanmethanol, 5-ethenyltetrahydro-.alpha.,.alpha.,5-trimethyl-, cis-2,039,755
19.085Octadecane, 1-chloro-603,170
19.587Acetic acid, hexyl ester601,861
19.7601,6-Heptadiene, 3,5-dimethyl-80,227
20.519Decanal622,713
21.134Benzaldehyde94,325
22.4243-Cyclohexene-1-ethanol, .beta.,4-dimethyl-131,133
22.4311-Cyclohexene-1-methanol, 4-(1-methylethenyl)-140,779
22.6703-Heptyne-2,6-dione, 5-methyl-5-(1-methylethyl)-134,078
22.801Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-214,018
22.8161-Isopropenyl-3-propenylcyclopentane189,887
23.354Cyclohexanol, 2,2,6,6-tetramethyl-1,107,971
23.360Citronellyl butyrate1,018,024
24.1821,6-Octadien-3-ol, 3,7-dimethyl-, 2-aminobenzoate6,824,657.5
24.4951-Octanol905,951.5
24.911Cyclohexane, 1-ethenyl-1-methyl-2,4-bis(1-methylethenyl)-, [1S-(1.alpha.,2.beta.,4.beta.)]-122,847.5
25.3851,1-Dimethyl-4-methylenecyclohexane277,392
25.417Cyclohexanone, 2-methyl-5-(1-methylethenyl)-, trans-243,765
27.500Hotrienol80,758
27.795Carveol545,775
27.797Dispiro[2 .1.2.4]undecane, 8-methylene-617,343
28.060Acetophenone82,331
28.301Hexanoic acid, 6-bromo-217,313
29.0012-Cyclohexen-1-one, 2-methyl-5-(1-methylethyl)-, (S)-532,374.5
30.125Carveol474,827
30.1306-Isopropenyl-3-methoxymethoxy-3-methyl-cyclohexene465,247
30.2421-Nonanol768,727.5
30.972cis-p-Mentha-2,8-dien-1-ol560,885
30.974trans-p-mentha-1(7),8-dien-2-ol662,768
31.523.alpha.-Terpineol1,098,969
32.232(-)-Carvone3,383,059
32.611Undecane, 2-methyl-74,437
32.624Pentadecane155,418
33.7212H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-203,784
33.982Carveol450,597
34.200Ethanone, 1-(3-methylphenyl)-150,098
34.3401-Cyclohexene-1-carboxaldehyde, 4-(1-methylethenyl)-262,883
34.627Decane, 1,1′-oxybis-92,683
35.0102H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-109,855
35.173Cyclopropane, octyl-181,727
35.176Decane, 3-chloro-131,903
35.3196-Octen-1-ol, 3,7-dimethyl-, (R)-158,561
35.332Citronellal169,686
35.896p-Mentha-1(7),8-dien-2-ol152,465
36.4742-Cyclohexen-1-one, 3-methyl-6-(1-methylethenyl)-, (S)-98,294
36.6943-hydroxy-2-methyl-5-(prop-1-en-2-yl)cyclohexanone250,595
37.2802-Cyclohexen-1-ol, 2-methyl-5-(1-methylethenyl)-, acetate, (1R-cis)-1,127,661
37.837Heptanoic acid1,468,435.5
38.200trans-p-mentha-1(7),8-dien-2-ol380,766
38.414Benzyl-diseryl phosphate162,123.5
38.840(2R,4R)-p-Mentha-[1(7),8]-diene, 2-hydroperoxide97,386
40.616(-)-trans-Myrtanyl acatate105,666
40.623Myrcenylacetat146,060
40.857Cyclododeca-5,9-dien-1-ol, 2-methyl-, (Z,Z)-317,443
40.859(2R)-Bornane-10,2-sultam219,341
41.850Benzaldehyde, 4-methoxy-233,353
43.263Octanoic acid191,580
43.436Cyclohexanemethanol, 4-ethenyl-.alpha.,.alpha.,4-trimethyl-3-(1-methylethenyl)-, [1R-(1.alpha.,3.alpha.,4.beta.)]-103,468
44.6182-Pentadecanone, 6,10,14-trimethyl-69,726
45.482Dodecanoic acid, 3-hydroxy-256,424
45.502n-Hexadecanoic acid335,278
47.5272,6-Octadiene-1,8-diol, 2,6-dimethyl-896,585.5
47.9402(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-344,852.5
50.351Benzophenone173,741.5
51.518Vanillin206,667.5
Table A2. Results for the SGP sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A2. Results for the SGP sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
1.073Cyclopropyl methyl carbinol120,514
3.273Hexanal575,125.5
3.405Methoxyacetic acid, tridecyl ester68,993
3.4303-Tridecene, (Z)-68,920
4.1834-Pentenal, 2-ethyl-115,550
4.460Sydnone, 3,3′-trimethylenedi-22,564
5.214.beta.-Myrcene1,018,173.5
5.260.beta.-Myrcene619,254
5.490Ethanol, 2-[2-(4-pyridyl)ethylamino]-42,808
5.921Cyclohexene, 4-ethenyl-1,4-dimethyl-639,379
6.7025-Aminoisoxazole42,411
6.7063-Hexenal, (Z)-364,986
7.009N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine118,904
7.601.beta.-Ocimene110,410
7.615.alpha.-Pinene433,550
8.1703-Carene119,228
8.215Tricyclo[2.2.1.0(2,6)]heptane, 1,7,7-trimethyl-156,509
8.229.beta.-Ocimene630,021
8.464Dodecane, 4,6-dimethyl-129,460
8.475Undecane, 3,8-dimethyl-507,030
10.385trans,cis-2,6-Nonadienyl acetate34,989
10.467Tridecane, 6-methyl-210,574
10.497Nonane, 4,5-dimethyl-37,215
10.734Dodecane, 4,6-dimethyl-338,715.5
11.0003-Hepten-1-ol, (Z)-226,106
11.1513-Ethyl-3-methylheptane239,089
11.425cis-Aconitic anhydride27,787
11.5564-Heptafluorobutyroxytridecane524,738
11.586Nonane, 4,5-dimethyl-150,122
11.9305-Hepten-2-one, 6-methyl-378,933
12.3182-Isopropyl-5-methyl-1-heptanol195,059
12.323Oxalic acid, allyl octadecyl ester89,397
12.380l-Alanine, N-(cyclohexylcarbonyl)-, heptadecyl ester37,359
14.688Nonanal113,348
15.1291-Methoxy-3-hydroxymethylheptane119,355
15.620Heptadecane, 2,6,10,14-tetramethyl-65,889
15.635Tridecane183,448
16.1953-Undecene, (Z)-63,096
16.2202-Nonenal, (Z)-147,528
16.4602-(3-Bromopropyl)-[1,3]dioxolane28,267
18.280Ammonium acetate187,763
18.330Methoxyacetic acid, hexyl ester48,206
18.3901,4-Hexadiene, 5-methyl-261,153
18.429Cyclohexan-1,4,5-triol-3-one-1-carboxylic acid619,199
18.661Furfural345,710
19.005Methoxyacetic acid, 2-tridecyl ester57,046
19.022Nonane, 3-methyl-5-propyl-417,744
19.055Nonane, 4,5-dimethyl-72,220
19.600Butane, 1-(ethenyloxy)-23,034
19.7152,3-Hexadiene, 2-methyl-388,031
20.6352-Propyl-1-pentanol135,168
21.037Benzaldehyde246,318
21.250Undecane, 3,6-dimethyl-147,124
21.466R-Limonene197,652
21.730Pyrrolidine-2,4-dione21,913
21.764Dodecane, 2,6,11-trimethyl-130,862
21.770Decane, 2-methyl-37,031
22.1581,5-Heptadiene, 2,3,6-trimethyl-635,307.5
23.2676-Octen-1-ol, 3,7-dimethyl-, acetate589,174
23.301Cyclopropanemethanol, .alpha.,2-dimethyl-2-(4-methyl-3-pentenyl)-, [1.alpha.(R*),2.alpha.]-1,041,462
23.660N-[2,2,2-Trifluoro-1-(isopropylamino)-1-(trifluoromethyl)ethyl]isovaleramide197,837
24.1981,6,10-Dodecatrien-3-ol, 3,7,11-trimethyl-18,728,058
24.2051-Bromo-3,7-dimethyl-2,6-octadiene31,337,534
24.306Linalyl acetate10,646,193
25.3003-hydroxy-2-methyl-5-(prop-1-en-2-yl)cyclohexanone105,570
26.919Oxalic acid, ethyl neopentyl ester276,546
26.940Undecane, 2-methyl-248,945
27.153Ethanol, 2-(2-ethoxyethoxy)-337,777
27.4051,5-Heptadiene, 2,5-dimethyl-3-methylene-127,621
27.590Cyclohexane, 1R-acetamido-2,3-cis-epoxy-4-cis-formyloxy-41,150
27.948Acetophenone217,637
28.322d-Menthol135,041
30.0801-Pentene, 5-(2,2-dimethylcyclopropyl)-2-methyl-4-methylene-495,428
30.086(-)-cis-Myrtanol169,778
30.505Acetic acid, cyano-116,530
30.842Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-607,249.5
31.440.alpha.-Terpineol3,145,562.5
32.278Heptafluorobutanoic acid, 2-(1-adamantyl)ethyl ester611,947
32.2792,4-Methano-1H-indene, 4-chlorooctahydro-186,219
32.657.beta.-Bisabolene192,658.5
32.9582,6-Octadienal, 3,7-dimethyl-, (E)-342,345.5
33.3001-Bromo-3,7-dimethyl-2,6-octadiene1,139,696
33.6802H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-138,117
34.317Dispiro[4.2.4.2]tetradecane118,050
34.327Cis-8-ethyl-exo-tricyclo[5.2.1.0(2.6)]decane66,678
34.6601-Bromo-3,7-dimethyl-2,6-octadiene1,387,273
36.2735-Hepten-1-ol, 2-ethenyl-6-methyl-386,406
36.587Anethole232,191
37.173Lanceol, cis198,363
37.177Ionone218,275
37.3441,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-517,247.3
37.7931,2,4-Trioxolane, 3,5-dipropyl-599,431
37.811Octane, 1-azido-718,189
37.9002,6,10-Dodecatrien-1-ol, 3,7,11-trimethyl-, (Z,E)-332,897
38.2002H-Azepin-2-one, hexahydro-4-methyl-111,168
38.2051-Undecene, 5-methyl-150,120
38.4532-Methylvaleroyl chloride184,447
38.730Geranyl acetate, 2,3-epoxy-139,279
39.5032-Dimethyl(trimethylsilyl)silyloxytridecane37,938
39.6862-Butanone, 4-(2,6,6-trimethyl-2-cyclohexen-1-ylidene)-212,113.5
40.2363-Decyn-2-ol108,829
40.2693-Tetradecyn-1-ol127,313
40.807Cyclododeca-5,9-dien-1-ol, 2-methyl-, (Z,Z)-151,636
41.0951,5,5-Trimethyl-6-methylene-cyclohexene370,901
41.1071,3,6-Heptatriene, 2,5,6-trimethyl-312,389
44.4791-Heptyn-6-one88,109
44.6009-Decen-2-one, 5-methylene-126,372
44.6131-Heptyn-6-one278,250
44.80710-Undecyn-1-ol104,806
44.819Cyclopropane, hexylidene-158,800
46.771Acetic acid, cyano-106,057
47.8992(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-484,359.5
57.725Imidodicarbonic acid, diethyl ester132,177
Table A3. Results for the SGL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A3. Results for the SGL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.879Acetic acid, cyano-56,772
1.040Pentanal, 2,4-dimethyl-57,277
1.0711-Propen-2-ol, formate167,675
2.285.alpha.-Pinene170,241.5
2.3281,3,6-Octatriene, 3,7-dimethyl-, (Z)-363,519
2.385(R)-(+)-Citronellic acid85,004
2.4603-Undecen-1-yne, (E)-7687
3.225Hexanal28,897
3.965Methanone, 1,3-dithian-2-ylphenyl-64,181
6.013D-Limonene44,500,934
6.7154-Pentenal, 2-methyl-50,578
7.642.gamma.-Terpinene6,561,102
8.201.beta.-Ocimene328,361
8.607Benzene, 1-methyl-3-(1-methylethyl)-2,692,739.5
9.0682-Carene3,351,302
9.078(+)-4-Carene3,540,274
10.465Octane, 2,3,3-trimethyl-44,003
10.752Undecane, 3,8-dimethyl-74,779
11.9475-Hepten-2-one, 6-methyl-273,176.5
13.8461-Octanol, 3,7-dimethyl-, (S)-180,675
14.722Nonanal92,985
15.668Tridecane139,294
16.709Benzene, 2-ethenyl-1,3-dimethyl-191,674
16.740o-Isopropenyltoluene194,054
18.399Cyclohexan-1,4,5-triol-3-one-1-carboxylic acid361,809
18.408Glycidol717,548
18.670Furfural621,339
18.970Copaene551,737
18.986.alfa.-Copaene507,260
19.180Decane, 5-propyl-88,193
19.4346-Octenal, 3,7-dimethyl-, (R)-837,850
19.6993-Octen-2-ol, (Z)-451,255
19.722Cyclopropane, trimethylmethylene-866,370
20.190E-1,5,9-Decatriene64,911
20.6651-Methoxy-3-hydroxymethylheptane126,181
21.0511,2,4-Trioxolane, 3-methyl-5-phenyl-59,002
21.430Octane, 5-ethyl-2-methyl-168,365
21.683(Z,Z)-.alpha.-Farnesene330,622
21.813Nonane, 5-(2-methylpropyl)-161,847
22.1893-Ethyl-1,5-octadiene224,260
23.256trans-p-mentha-1(7),8-dien-2-ol842,313
23.272cis-p-mentha-1(7),8-dien-2-ol736,608
24.1391-Bromo-3,7-dimethyl-2,6-octadiene8,422,457
24.146.beta.-Myrcene7,426,440
24.450Caryophyllene2,412,339
24.803Cyclohexane, 1-ethenyl-1-methyl-2,4-bis(1-methylethenyl)-1,661,763
24.828cis-.alpha.-Bisabolene1,997,395
25.130Dodecanal957,818
25.148trans-2-Dodecen-1-ol, trifluoroacetate522,026
26.458Cyclohexane, 4-methyl-2-methylene-1-(1-methylethylidene)-236,924
27.055Pentadecane615,120
27.122Heptadecane, 2,6,10,14-tetramethyl-369,320
27.9283-Tetradecyn-1-ol964,333
27.958trans-2-Dodecen-1-ol, trifluoroacetate840,881
28.3591,4,7,-Cycloundecatriene, 1,5,9,9-tetramethyl-, Z,Z,Z-245,910
28.7612,2-Dimethylpropanoic acid, 2-adamantyl ester255,092
29.215Cycloisolongifolene97,234
30.3552,6-Octadienal, 3,7-dimethyl-, (E)-51,100,548.5
31.498.alpha.-Terpineol8,024,237
32.200(-)-Carvone653,884
32.388Dispiro[4.2.4.2]tetradecane107,256
32.4503-Adamantanecarboxylic acid, phenyl ester701,488
33.2552,6-Octadienal, 3,7-dimethyl-, (E)-71,369,488.5
33.958Carveol117,489
33.989Cycloheptane, 1,3,5-tris(methylene)-157,810
34.465Naphthalene, 1,2,3,4,4a,5,6,7-octahydro-4a-methyl-102,571
34.4751H-3a,7-Methanoazulene, 2,3,6,7,8,8a-hexahydro-1,4,9,9-tetramethyl-, (1.alpha.,3a.alpha.,7.alpha.,8a.beta.)-90,857
34.6891-Bromo-3,7-dimethyl-2,6-octadiene594,352
35.3057-Octen-1-ol, 3,7-dimethyl-, (S)-473,977
36.040Z,Z,Z-4,6,9-Nonadecatriene914,01
36.2945-Hepten-1-ol, 2-ethenyl-6-methyl-1,012,776
36.612Anethole319,573
37.3691,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-867,511.5
37.9295-Hepten-1-ol, 2-ethenyl-6-methyl-1,881,320
37.9391-Bromo-3,7-dimethyl-2,6-octadiene2,378,768
38.4731-Hexene, 3,4,5-trimethyl-2,227,084.5
39.1752-Bromosebacic acid, bis(trimethylsilyl) ester120,406
39.7152-Butanone, 4-(2,6,6-trimethyl-2-cyclohexen-1-ylidene)-172,929
40.354Caryophyllene167,562
41.0442-Butanone, 4-(2,6,6-trimethyl-1-cyclohexen-1-yl)-182,625
41.12011,11-Dimethyl-spiro[2,9]dodeca-3,7-dien156,106
41.3525-Hepten-2-one, 6-methyl-57,635
41.9432-Cyclohexen-1-one, 6-(1-hydroxy-1-methylethyl)-3-methyl-71,111
43.7531-Nitro-2-propanone369,292
44.6201-Heptyn-6-one806,489
44.628Methyl Isobutyl Ketone840,137
44.750trans,trans-2,6-Dimethyl-2,6-octadiene-1,8-diol174,272
47.500Cyclopropaneoctanoic acid, 2-[[2-[(2-ethylcyclopropyl)methyl]cyclopropyl]methyl]-, methyl ester105,937
47.515Tetraacetyl-d-xylonic nitrile34,187
47.9172(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-481,958
48.378Cycloheptane, 4-methylene-1-methyl-2-(2-methyl-1-propen-1-yl)-1-vinyl-99,068
52.7901-Propanamine, N-nitro-37,512
52.9921-Butanol59,088
Table A4. Results for the SGM sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A4. Results for the SGM sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.018Acetic acid, cyano-63,013
0.825Ethanol, 2-(vinyloxy)-60,490
1.055Hydroperoxide, 1-methylethyl85,713
1.120Ether, 2-chloro-1-propyl isopropyl63,783
3.259Hexanal352,944
3.350Glutaraldehyde150,508
3.3553-Penten-2-ol315,320
3.4401,2,15-Pentadecanetriol149,001
3.490Trifluoromethanesulfonyl imidazole146,098
3.540Acetic acid, cyano-63,215
4.2399-Tetradecen-1-ol, acetate, (E)-81,718
5.1842-Octyn-1-ol825,999
5.211.beta.-Myrcene501,590
5.6652-Heptanone127,653
5.912D-Limonene201,138
5.918Cyclohexene, 4-ethenyl-1,4-dimethyl-109,577
6.1903-Pyridinecarbonitrile, 4-(methoxymethyl)-6-methyl-2-(2-propenyloxy)-64,607
6.7062-Hexenal151,942
6.714(1-Allylcyclopropyl)methanol133,747
6.957N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine55,876
7.511Furfuryl heptanoate99,402
7.556.alpha.-Pinene97,319
7.6304-Terpinenyl acetate61,282
8.220.beta.-Ocimene235,507
8.486Undecane, 3,8-dimethyl-261,838
8.499Dodecane, 4,6-dimethyl-334,363
8.784Octane, 2,3,3-trimethyl-140,125
9.045(+)-4-Carene55,258
10.420trans-.beta.-Terpinyl pentanoate98,048
10.485Methoxyacetic acid, 2-methylpropyl ester72,844
10.729Undecane, 2-methyl-153,807
10.739Nonane, 5-(2-methylpropyl)-210,592
10.963Butanamide, 3-cyclohexylamino-4-hydroxy-N-cyclohexyl-233,226
10.972Z-1,8-Dodecadiene197,182
11.190Nonane, 1-iodo-843,66
11.2652,4-Pentanedione, 3-ethyl-65,334
11.4531-Pentene, 5-chloro-326,317.5
11.595Undecane, 2,8-dimethyl-101,042
11.9105-Hepten-2-one, 6-methyl-361,742.5
12.318Trichloroacetic acid, tridecyl ester59,185
14.315Diazene, dicyclohexyl-, 1,2-dioxide61,943
14.698Nonanal167,658
15.1462-Decen-1-ol146,286
15.591Heptadecane, 2,6,10,14-tetramethyl-59,042
15.627Dodecane, 2-methyl-75,909
16.2065-Tridecene, (Z)-68,987
16.2672-Octyn-1-ol71,981
18.2502,3-Epoxybutane411,295
18.4456-Nonenal, (Z)-530,076
18.452Imidazole, 2-amino-5-[(2-carboxy)vinyl]-245,253
18.654Furfural266,284.5
19.036Nonane, 5-(1-methylpropyl)-138,397
19.039Nonane, 3-methyl-5-propyl-243,464
19.6982,3-Hexadiene, 2-methyl-277,170
20.6061-Pentanol, 2-ethyl-4-methyl-129,402
20.995Benzaldehyde165,013
21.0541-Benzamido-N-benzyl-1-[.alpha.-(2-pyridylthio)benzylidene]acetamide119,058
21.205Nonane, 4,5-dimethyl-83,886
21.426R-Limonene119,271
21.758Dodecane, 4-methyl-78,992
22.1391,5-Heptadiene, 2,3,6-trimethyl-209,903
23.194Heptanal, 2-methyl-278,302
23.2622-Octen-1-ol, 3,7-dimethyl-450,603
23.6152-Heptafluorobutyroxydodecane70,417
24.0871-Bromo-3,7-dimethyl-2,6-octadiene9,842,404
25.104Oxirane, decyl-134,290
25.211Dihydrocarvyl acetate90,710
26.920Tridecane151,803
26.937Pentadecane175,135
27.128Ethanol, 2-(2-ethoxyethoxy)-248,708.5
27.364Dispiro[2.0.2.5]undecane, 8-methylene-120,439
27.894S-Benzoyl-N-(O-hydroxybenzylidene)thiohydroxylamine87,628
28.0212-Decene, (Z)-71,624
28.284Cyclohexanol, 5-methyl-2-(1-methylethyl)-, [1S-(1.alpha.,2.alpha.,5.beta.)]-60,158
30.084Longipinene epoxide200,527
30.135cis-p-mentha-1(7),8-dien-2-ol89,537
30.355Valeric acid, 3-tridecyl ester80,075
30.565Acetaldoxime68,044
30.803Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-211,358.5
31.404.alpha.-Terpineol762,821.5
32.2142,2-Dimethylpropanoic acid, 2-adamantyl ester60,028
32.2962,4-Methano-1H-indene, 4-chlorooctahydro-118,582
32.590cis-sesquisabinene hydrate117,388
32.9292,6-Octadien-1-ol, 2,7-dimethyl-89,883.5
33.2781-Bromo-3,7-dimethyl-2,6-octadiene288,750
33.2844-Hexen-1-ol, 5-methyl-2-(1-methylethenyl)-, acetate343,381
33.572Cyclopentane, 1-ethyl-3-methyl-, trans-52,106
33.967Pentanal185,683
34.280Cyclododeca-5,9-dien-1-ol, 2-methyl-, (Z,Z)-84,052
34.310Cis-8-ethyl-exo-tricyclo[5.2.1.0(2.6)]decane65,264
34.6432,6-Octadien-1-ol, 2,7-dimethyl-492,969
34.648.beta.-Myrcene508,110
36.2435-Hepten-1-ol, 2-ethenyl-6-methyl-133,316
36.577Anethole199,512
37.160Andrographolide77,139
37.5841,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-696,692.5
37.779Hexanal1,321,771
37.7931,2,4-Trioxolane, 3,5-dipropyl-219,894
37.875.beta.-Myrcene172,198
38.1802,5-Pyrrolidinedione, 1-ethyl-131,028
38.4292-Butanone, 3-methyl-1-phenyl-153,622
38.4354-Ethyl-1-hexyn-3-ol192,370
38.771Cyclopropane, 1-(1′-propenyl)-2-hydroxymethyl-75,503
39.686Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester61,416
40.8183-Tridecen-1-yne, (Z)-69,714
40.8199,12,15-Octadecatrienal97,882
41.0112-Butanone, 4-(2,6,6-trimethyl-1-cyclohexen-1-yl)-102,986
41.093cis-sesquisabinene hydrate224,962
44.166Adenine-9-propanoic acid, alpha.-t-butoxycarbonylamino-102,494
44.4631-Heptyn-6-one98,989
44.469Methyl Isobutyl Ketone63,708
44.5959-Decen-2-one, 5-methylene-143,812
45.240Propanal, 2-methyl-, 2-propenylhydrazone52,896
45.470Cyclopentaneundecanoic acid64,619
47.8882(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-283,652
Table A5. Results for the TBV sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A5. Results for the TBV sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.730Acetic acid, cyano-94,784
0.815Propane115,993
0.881N-(2-Methylacryloyl)imidazola114,248
1.040Allyl acetate49,897
1.0812-Hexanone, 4-hydroxy-5-methyl-3-propyl-221,553
1.425Pentan-2-ol, 1-tert-buthylamino-4-methyl-37,600
1.438Butanal, 2-methyl-100,607
1.490Butanal, 3-methyl-84,716
1.9473-Aminopyrrolidine207,498
1.9511,3-Dioxane-4,6-dione, 2,2-dimethyl-225,463
2.030Acetamide, N-[2-(4-methylphenoxy)ethyl]-65,728
2.045Azacyclodecan-5-ol45,434
3.284Hexanal1,398,458.5
3.655Triallyl phosphate23,541
5.575Acetonitrile, bromo-26,297
5.675Propane, 2-(ethenyloxy)-24,723
5.7302,3-Anhydro-d-galactosan30,652
5.740Heptanal147,257
5.765Butanal, 3-methyl-149,962
5.953Tetrahydropyrrolo[1,2-a]azetidin-2-one193,616
5.957Murexide90,456
6.0305-[2-Thienyl]hydantoin77,334
6.7022-Hexenal676,577
6.985N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine706,731
8.505Dodecane, 4-methyl-90,410
9.655Octanal66,979
9.6581,6-Anhydro-3,4-dideoxy-.beta.-D-manno-hexapyranose54,785
11.9595-Hepten-2-one, 6-methyl-262,786
14.740Nonanal373,934.5
15.147Ethanol, 2-butoxy-138,163
15.1652,5-Dimethyl-1-hepten-4-ol121,419
18.282Ammonium acetate2,141,214
18.701Furfural1,136,801
19.103Nonane, 5-(2-methylpropyl)-246,297
20.7141-Hexanol, 2-ethyl-75,528
21.122Benzaldehyde4,085,838.5
21.846Undecane, 3,7-dimethyl-316,312
22.135Cycloheptano[d]imidazolidine, 1,3-dihydroxy-2-methyl-103,470
23.290Propanoic acid200,796.5
24.1415-Hepten-1-ol, 2-ethenyl-6-methyl-197,773
24.4561H-Pyrazole, 1,3,5-trimethyl-783,099
24.4672-Furancarboxaldehyde, 5-methyl-686,396
26.464Benzenemethanol, .alpha.-(1-ethenylpentyl)-.alpha.-methyl-96,576
27.076Undecane, 2-methyl-255,153
27.700Benzaldehyde, 2-methyl-129,230.5
28.036Acetophenone69,030
30.240Pent-3-en-2-one, 4-methyl-, oxime127,754
30.2554-Methoxy-2,3-dimethyl-2,3-dihydroazete103,964
30.4872(3H)-Furanone, 5-ethyldihydro-554,528.5
32.6062,3-Dimethyldodecane55,910
32.606Tetradecane, 2-methyl-71,677
33.011Propanoic acid, 3-hydroxy-2-[2-{[benzyloxy)carbonyl]amino}acetyl)amino]43,642
34.024Pentanoic acid72,953.5
34.312Methyl salicylate34,235
35.3132(3H)-Furanone, dihydro-5-propyl-3,103,701.5
36.6411-Octadecanesulphonyl chloride85,226.5
37.6481,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-91,628.5
37.840Hexanoic acid887,087.5
37.928Phenol, 2-methoxy-624,495
38.2392,5-Pyrrolidinedione, 1-ethyl-345,675.5
38.411Benzyl-diseryl phosphate193,527
38.413Benzene, [(2-propenyloxy)methyl]-326,206
38.9932(3H)-Furanone, 5-butyldihydro-567,940.5
39.296Phenylethyl Alcohol81,672
40.533Maltol3,012,548.5
40.765Heptanoic acid213,937
40.8692-Pentenenitrile, 4,4-dimethyl-282,191
40.8797-Nonynoic acid362,88
41.0252-Hexenoic acid206,927
41.0601H-Azepine, hexahydro-1-nitroso-33,836
41.1751-Dodecene170,528
41.180E-11,13-Tetradecadien-1-ol25,182
41.435Furan, 2,2′-[oxybis(methylene)]bis-124,175
41.845Benzaldehyde, 4-methoxy-2,417,723
42.0501H-Pyrrole-2-carboxaldehyde73,396
42.195Benzene, (2-methyl-1-methylenebutyl)-90,494
42.201Cinnamaldehyde, (E)-126,790
42.348Benzene, 1,4-dimethoxy-2-methyl-85,105
43.259Octanoic acid731,575
44.4204-Acetylanisole102,679
44.4253-Methoxyacetophenone138,444
44.5262(3H)-Furanone, 5-hexyldihydro-597,573
44.745Ethanol, 2-phenoxy-39,625
44.9091,3,5-Cycloheptatriene, 1-methoxy-58,650.5
45.506Nonanoic acid69,740.5
46.205Piperonal87,421.5
46.7042-n-Butyl furan23,192
47.458Benzenemethanol, 4-methoxy-421,101.5
47.590n-Decanoic acid300,368
47.9382(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-278,448.5
48.989.gamma.-Dodecalactone258,188
49.980Benzoic acid62,533
51.3761,2-Benzenedicarboxylic acid, dihexyl ester26,249
51.531Vanillin8,287,611.5
54.1113-Hydroxy-4-methoxybenzyl alcohol51,514
Table A6. Results for the EBP sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A6. Results for the EBP sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.189Carbamic acid, (cyanoacetyl)-, ethyl ester40,219
0.690Acetic acid, cyano-71,328
0.8594-Heptanone, dimethylhydrazone68,187
0.9311-(4-Acetamidoanilino)-3,7-dimethylbenzo[4,5]imidazo[1,2-a]pyridine-4-carbonitrile42,303
0.980Sulfide, methyl 1-methyl-2-butenyl44,455
1.3904H,8H-[1,2,4]Triazino[3,4-b][1,3,4]thiadiazin-4-one, 7-amino-3-methyl-48,156
1.430Butanal, 3-methyl-54,247
1.504Acetic acid, cyano-24,296
1.5474-Penten-2-ol, 4-methyl-36,478
1.7192-Butyne-1,4-diol bis(.beta.-hydroxyethyl ether)29,900
2.5253-Hexenoic acid, ethyl ester, (Z)-21,487
2.599dl-Ornithine27,137
2.618Thiocyanic acid, 5-amino-3-methyl-4-isoxazolyl ester22,308
2.7405-Ethyl-2-methyl-pyridin-4-amine27,062
3.220Hexanal95,779
3.273Hexanal32,777
3.2951,3-Dioxane-4,6-dione, 5,5-dimethyl-2-(1-methylethylidene)-36,361
3.308Butane, 1-(ethenyloxy)-82,998
3.3351-Propene, 3-methoxy-92,869
3.4005-Aminoisoxazole93,919
3.420cis-Aconitic anhydride33,724
3.4352-Propanamine, N-ethyl-N-nitroso-24,872
3.460Tris(aziridinomethyl)hydrazine24,606
3.504Butane, 1-(ethenyloxy)-22,708
3.5054,5-Dicarboxy-1,2,3-triazole23,452
5.125Formic acid, 1,1-dimethylethyl ester23,031
5.1501,2,4-Triazol-5-acetic acid, 3-amino-24,912
5.212Ethanediamide, N-(1-methylpropyl)-N′-(3-pyridinylmethyl)-21,740
5.225cis-Aconitic anhydride26,678
5.330(+)-2-Carene, 4-.alpha.-isopropenyl-21,260
5.7403-(4-Methyl-piperazin-1-yl)-N-(4-trifluoromethoxy-phenyl)-propionamide25,237
6.677Allyl methallyl ether54,578
6.974N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine69,040
7.040N-Methyladrenaline, tri-TMS28,857
7.503Cyclopropanecarboxylic acid21,350
8.163Chlorocarbonyl t-butoxy sulfide30,269
8.1863-Buten-2-ol, 3-methyl-26,893
8.4553-Ethyl-3-methylheptane66,659
9.7401,4-Dioxa-2-decalone28,660
10.738Decane, 3,7-dimethyl-46,542
11.5602-Bromononane23,532
11.9052-Ethyl-3-vinyloxirane23,682
11.9252-Pentenal, 2,4,4-trimethyl-28,175
13.315Cyclohexanemethanol, .alpha.-ethyl-31,869
14.3106-Chloro-2,4-dihydroxy-1,3-dimethylpyrimidine21,426
14.469Methyl piperidin-4-carboxylate21,730
14.610Pyrrolizidine-3-one-5-ol, ethyl ether27,717
14.672Nonanal61,648
14.690p-Nitro carbanilic acid, n-heptyl ester23,421
14.7853,4,4,-Trimethyl-1-pentyn-3-ol24,211
14.8343,3-Dimethyl-2-hydroxy-2-phenylthiomorpholine28,086
15.047Cyclohexane, 1,2-bis(t-butoxycarbonylmethoxy)-27,138
17.085Cyanamide, N-allyl-N-[2-(2-hydroxy-2-methylpropyl)-3,3-dimethylcyclopropyl]methyl-34,017
17.1758.beta.-17.alpha.-Dihydroxy-desoxycorticosterone27,911
17.5051,2,4-Triazole, 4-[N-(2-hydroxyethyl)-N-nitro]amino-22,875
17.5574-Heptanol, 2-methyl-43,238
18.316Ammonium acetate46,413
18.3701,2,4-Trioxolane, 3,5-dipropyl-46,649
18.5661,2-Cyclobutanedicarboxylic acid, 3-methyl-, dimethyl ester26,028
18.6392H-Pyran, 2-(3-butynyloxy)tetrahydro-33,812
18.666trans-2,7-Dimethyl-3,6-octadien-2-ol41,759
19.0015-Ethyl-4-tridecanone32,467
19.037Tetradecane, 5-methyl-27,346
19.0551-Butanol, 3-methyl-, nitrate30,550
20.405Propenone, 3-dimethylamino-1-[3-(3-dimethylaminoacryloyl)-2,6-dihydroxyphenyl]-22,794
20.461Sulfide, di(1,3-butadienyl)-28,315
20.5455,6,6-Trimethyl-hept-3-yne-2,5-diol26,021
20.5794-Hexen-2-one, 3-methyl-29,025
20.5821-Decene, 2,4-dimethyl-45,611
20.9703-tert-Butyl-5-chloro-2-hydroxybenzophenone26,089
21.0171-Benzamido-N-benzyl-1-[.alpha.-(2-pyridylthio)benzylidene]acetamide43,002
21.020Bis[4-acetamidophenylsulfonyl]phenyl methane43,423
21.1051,2,5-Oxadiazol-3-amine, N-cyclopropyl-4-[5-(trichloromethyl)-1,2,4-oxadiazol-3-yl]-31,391
21.172Oxalic acid, allyl decyl ester48,664
21.7145-Hydroxy-2,4,4-trimethyl-cyclopentane-1,3-dione28,464
21.726Tetradecane, 4-ethyl-49,899
22.1433-Ethyl-1,5-octadiene65,512
23.2172-Norbornanone, 6-chloro-3,3-dimethyl-, exo-32,271
23.2301,2-Dihydrolinalool82,631
23.2652-Propenyl-3-vinyloxirane35,236
24.0212,6-Octadien-1-ol, 2,7-dimethyl-827,705
24.036Linalyl acetate886,873
24.8032H-Pyran, 2-(3-butynyloxy)tetrahydro-25,758
26.907Malonic acid, bis(2-trimethylsilylethyl ester52,354
27.9851,8-Dichlorooctane25,086
28.235Methylene asparagine26,750
28.2692-Pyrrolidinone, 1-methyl-85,192
28.2713,3,3-Trifluoro-N-(2-fluorophenyl)-2-(trifluoromethyl)propionamide31,186
30.675Oxalic acid, allyl nonyl ester26,882
31.325.alpha.-Terpineol63,064.5
31.3743-Methyl-2-methylene-5-oxopyrrolidine-3-carbonitrile31,392
31.400trans-2,7-Dimethyl-3,6-octadien-2-ol26,447
33.244trans,cis-2,6-Nonadien-1-ol25,713
33.895Propanedioic acid, propyl-35,831
34.5805-(3,7-Dimethylocta-2,6-dienyl)-4-methyl-2,3-dihydrothiophene 1,1-dioxide22,011
34.9042H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-25,268
36.573Allyl heptanoate22,998
37.752Heptanoic acid56,211.5
37.880.beta.-Myrcene29,088
38.1602,5-Pyrrolidinedione, 1-ethyl-62,446
38.341Benzene, [(2-propenyloxy)methyl]-72,902
38.344Benzyl alcohol84,220
39.227Phenylethyl Alcohol46,827
40.794Ethanone, 1-(1H-pyrrol-2-yl)-29,239.5
42.9392-Butenediamide, 2-methyl-, (E)-24,382
45.070Benzylamine, N-(3-chloro-2,2-dimethyl-1-phenylpropylidene)-25,983
45.373Cyclopropanecarboxylic acid, cyclohexylmethyl ester23,678
46.2902-Amino-4-dimethylaminomethylenepentanedinitrile30,668
47.8592(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-35,368
48.8602H-Pyran-2-one, 5,6-dihydro-4-(2-methyl-3-methylene-1-buten-4-yl)-76,496
48.9213H-1,2,4-Triazole-3-thione, 2,4-dihydro-4-phenyl-36,542
49.9124-Piperidinepropanoic acid, 1-benzoyl-3-(2-chloroethyl)-, ethyl ester44,931
52.5551,2,3-Butanetriol25,538
53.001Oxetane, 2-methyl-4-propyl-30,545
56.6692,5-Furandione, dihydro-3-methylene-29,961
Table A7. Results for the EBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A7. Results for the EBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.886p-Dioxane, methylene-60,857
2.270Hexanamide, 6-(2-oxocyclopentyl)-N-phenyl-97,276
2.2962-Hydroxy-3-pyrazin-2-ylacrylic acid53,348
2.4101,1′-(4-Methyl-1,3-phenylene)bis[3-(5-benzyl-1,3,4-thiadiazol-2-yl)urea]66,587
3.230Hexanal125,407
4.240Cyclohexene, 1-methyl-4-(1-methylethyl)-415,553
5.165.beta.-Myrcene932,205.5
6.028D-Limonene20,772,492
6.083Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-28,705,656
6.6802-Hexenal350,397
6.9704-Methylcatechol, bis(trimethylsilyl) ether99,509
7.608.gamma.-Terpinene2,668,285.5
8.2183-Nonen-1-yne, (Z)-185,302
8.577Benzene, 1-methyl-3-(1-methylethyl)-1,380,619
9.032(+)-4-Carene369,547.5
10.477Decane, 2,4-dimethyl-59,486
10.489Undecane, 2,7-dimethyl-147,641
11.408Cyclopropaneethanol87,457.5
11.9201-Hepten-6-one, 2-methyl-216,541
13.3231-Butanol, 3-methoxy-82,569
14.4743-Hexen-1-ol72,691
14.653Nonanal227,838
15.8012-Penten-1-ol, 4-methyl-123,248
17.2982,6-Octadiene-1,8-diol, 2,6-dimethyl-143,284
18.203Ammonium acetate594,590.5
18.619Pyrazole, 1,4-dimethyl-146,710
18.640Furfural251,584
18.926Copaene187,151
19.482Acetic acid, hexyl ester223,391
20.390Octane, 1-azido-48,281
20.413Decanal82,253
21.002Benzaldehyde147,588
22.1211,6-Heptadiene, 2,5,5-trimethyl-81,076
22.1611,5-Heptadiene, 2,3,6-trimethyl-245,420
23.1625-Nonenoic acid, methyl ester231,994
23.2041,2-Dihydrolinalool226,441
23.628Cyclohexanol, 5-methyl-2-(1-methylethyl)-, acetate, (1.alpha.,2.beta.,5.beta.)-54,549
23.656Menthyl acetate82,100
24.079Linalyl acetate3,330,821
24.3261,1-Cyclopropanedicarbonitrile, 2-butyl-2-methyl-176,787
24.694trans-.alpha.-Bergamotene209,911
26.318Benzenemethanol, .alpha.-(1-ethenylpentyl)-.alpha.-methyl-92,881
26.945Arabino-Hex-1-enitol, 1,5-anhydro-2-deoxy-102,198
27.845Oxiranemethanol, 2-phenyl-190,581
27.871Cyclopropane, 1-bromo-2,2,3,3-tetramethyl-1-prop-1-ynyl-49,869
28.261d-Menthol142,424.5
28.5952-Bromopropionic acid, 2-pentyl ester79,505
29.070Cycloisolongifolene120,477
30.0012,6-Octadienal, 3,7-dimethyl-, (Z)-535,579.5
30.4952-Methyl-l-methylmannopyranoside167,380
30.8063-Cyclohexene-1-methanol, .alpha.,.alpha.,4-trimethyl-, acetate635,343
30.824.alpha.-Terpineol702,887
31.1101-Cyclohexyl-2,2-dimethyl-1-propanol acetate79,379
31.364L-.alpha.-Terpineol953,500.5
31.644Acetic acid, 1-(R)-phenylethyl ester152,399.5
32.078(-)-Carvone238,609
32.618.beta.-Bisabolene292,323
32.9072,6-Octadienal, 3,7-dimethyl-, (Z)-517,386.5
33.259Linalyl acetate180,568.5
33.5707,8-Dibromo-4,4,7-trimethyl-hexahydro-benzo[1,3]dioxin-2-one31,710
33.899Butanoic acid, 3-methyl-116,192
34.202Methyl salicylate140,347
34.6532,6-Octadien-1-ol, 2,7-dimethyl-735,215
34.653Benzene, 1-(1,5-dimethyl-4-hexenyl)-4-methyl-439,300
35.2216-Octen-1-ol, 3,7-dimethyl-, (R)-41,711
35.225Citronellol91,789
35.688Ethanol, 2-(2-butoxyethoxy)-238,659.5
36.2222,6-Octadien-1-ol, 2,7-dimethyl-98,600
36.2422,6-Octadiene, 3,7-dimethyl-1-(2-propenyloxy)-208,993
36.563Anethole84,862
36.595Estragole89,942
37.181p-Mentha-1(7),8-dien-2-ol133,232
37.5541,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-127,758
37.742Butanoic acid, 3-methyl-566,726
37.757Heptanoic acid847,338
37.8702,6-Nonadienal, (E,Z)-263,050
38.1432,5-Pyrrolidinedione, 1-ethyl-108,795
38.328Benzyl alcohol130,915.5
39.218Phenylethyl Alcohol42,435
39.663Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester76,029
39.671trans-.beta.-Ionone110,928
40.302Isoaromadendrene epoxide90,637
40.79911-(2-Cyclopenten-1-yl)undecanoic acid, (+)-66,300.5
40.980Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester79,824
43.179Octanoic acid184,543.5
46.331Phenol, 2-ethyl-4,5-dimethyl-50,752
46.8392,4,6-Octatrien-1-ol, 3,7-dimethyl-(E,E)-36,117
47.4571,2-Cyclohexanediol, 1-methyl-4-(1-methylethenyl)-118,730
47.8702(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-147,328.5
48.345Cyclobutene, 4,4-dimethyl-1-(2,7-octadienyl)-164,733
49.926Benzoic acid163,139
Table A8. Results for the EBB sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A8. Results for the EBB sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.840Glycidol75,856.5
0.950.alpha.-Chloroacrylic acid59,320
1.5302-Pentanol, 3-chloro-4-methyl-, (R*,R*)-(.+/−.)-299,363
1.5601-Methoxy-3-methyl-3-butene289,385
3.484.beta.-Myrcene64,340
5.194.beta.-Myrcene1,191,105.5
5.938D-Limonene4,419,800.5
6.6813-Hexenal, (Z)-472,247.5
6.964N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine122,798
7.596Tricyclo[2.2.1.0(2,6)]heptane, 1,7,7-trimethyl-510,285
7.6074-Carene, (1S,3R,6R)-(-)-531,680
8.1871,3,7-Octatriene, 3,7-dimethyl-520,381.5
8.550p-Cymene182,369
9.023(+)-4-Carene47,706
10.463Dodecane, 2-methyl-128,492
10.481Nonane91,987
10.740Undecane, 3,7-dimethyl-45,039
11.600Sulfurous acid, hexyl pentadecyl ester39,988
11.9115-Hepten-2-one, 6-methyl-99,068
11.9431-Hepten-6-one, 2-methyl-95,405
13.3701-Butanol, 3-methoxy-97,327.5
14.4503-Hexen-1-ol49,402
14.4753-Hexen-1-ol, (E)-58,769
14.669Nonanal112,987
15.135Oxalic acid, allyl tetradecyl ester53,901
15.617Decane, 2-methyl-41,084
15.8752-Allyloxy-4,6-bis-phenylsulfanyl-[1,3,5]triazine37,390
15.9523-Decene61,937
15.9521-Hexanol, 3-methyl-87,038
17.1102-Furanmethanol, 5-ethenyltetrahydro-.alpha.,.alpha.,5-trimethyl-, cis-46,232
17.569Undecanol-452,905.5
18.168Ammonium acetate686,834
18.610Furfural171,566
18.646Furan-2-carbohydrazide, N2-(1-methylhexylideno)-191,841
19.6393-Oxatricyclo[4.2.0.0(2,4)]octan-7-one65,832
21.010Benzaldehyde113,463.5
21.766Tetradecane, 4-ethyl-42,793
22.1631,7-Nonadiene, 4,8-dimethyl-635,615
23.237Citronellyl butyrate720,225
23.2511,2-Dihydrolinalool778,269
23.565Cyclohexane, 1-methyl-4-(2-hydroxyethyl)-104,217
24.198Linalyl acetate20,228,501.5
24.811trans-.alpha.-Bergamotene91,781
25.091Fenchol, exo-39,940
25.813(+)-(E)-Limonene oxide64,200
27.3803,4-Dimethyl-2-prop-2-enyl-2,5-dihydrothiophene 1,1-dioxide66,881
27.385Hotrienol67,814
27.8561-(Phenylmethyl)-1,2,3,6-tetrahydropyridin-3-ol122,925
27.880Oxiranemethanol, 2-phenyl-180,446
28.53510-Heptadecen-8-ynoic acid, methyl ester, (E)-52,188
28.9604-Pentenoic acid, 2-acetyl-, ethyl ester785,25
30.0352,6-Octadienal, 3,7-dimethyl-, (Z)-367,457
30.069Longipinene epoxide249,326
30.305Sulfurous acid, hexyl pentadecyl ester200,957
30.358Valeric acid, 3-pentadecyl ester89,012
30.832.alpha.-Terpineol566,609
31.429.alpha.-Terpineol2,871,361
31.445L-.alpha.-Terpineol3,859,251
32.063(-)-Carvone168,274.5
32.623.beta.-Bisabolene183,784
32.9182,6-Octadienal, 3,7-dimethyl-, (Z)-153,040.5
33.2811-Bromo-3,7-dimethyl-2,6-octadiene539,860
33.285Linalyl acetate735,657
33.6132H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-78,347
33.935Propanedioic acid, propyl-60,942
34.239Methyl salicylate44,184
34.260Tricyclo[7.1.0.0[1,3]]decane-2-carbaldehyde53,084
34.6522,6-Octadien-1-ol, 2,7-dimethyl-764,472
34.9352H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-93,514.5
35.2552-Pentadecyn-1-ol70,853
35.2559,15-Octadecadienoic acid, methyl ester47,285
35.697Ethanol, 2-(2-butoxyethoxy)-110,812.5
36.2512,6-Octadien-1-ol, 2,7-dimethyl-618,537.5
37.164Dihydrocarvyl acetate78,561
37.2002-Cyclohexen-1-ol, 2-methyl-5-(1-methylethenyl)-, acetate, (1R-cis)-79,721
37.889trans,cis-2,6-Nonadien-1-ol1,039,600
37.8912,6-Nonadienal, (E,Z)-1,143,942
38.1532,5-Pyrrolidinedione, 1-ethyl-129,426.5
38.335Benzyl alcohol119,005
38.380Benzene, (2,2-dimethylbutyl)-99,835
38.721Geranyl acetate, 2,3-epoxy-163,962
39.235Phenylethyl Alcohol75,575
39.670Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester134,033
40.314Isoaromadendrene epoxide143,108
40.585Pyruvic acid, 3-hexenyl ester55,982
40.793Myrcenylacetat109,085
40.7998,11,14-Eicosatrienoic acid, methyl ester, (Z,Z,Z)-96,145
41.0843(10)-Caren-4-ol, acetoacetic acid ester176,125
41.0871,6-Octadien-3-ol, 3,7-dimethyl-, 2-aminobenzoate179,443
43.193Octanoic acid54,969
43.780Cholestane-3,6,7-triol, (3.beta.,5.alpha.,6.beta.,7.beta.)-100,688
44.784Cyclododeca-5,9-dien-1-ol, 2-methyl-, (Z,Z)-82,400
45.2054-Piperidin-1-yl-6-(4-tetrazol-1-yl-phenoxymethyl)-[1,3,5]triazin-2-ylamine59,889
45.6262-Cyclohexen-1-ol, 2-methyl-5-(1-methylethenyl)-, acetate, (1R-cis)-111,323
46.351Phenol, 2,3,4,6-tetramethyl-98,885
47.8822(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-75,435.5
Table A9. Results for the SBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A9. Results for the SBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
1.084Acetone331,948
1.1852-Methyl-2-(4-nitrobenzenesulfonamido)propyl N-methylcarbamate74,669
1.210Cyclobutane, methylene-110,395
1.270Ecgonine, o-pentafluoropropionyl-, pentafluoropropyl ester84,216
1.380Tetrahydropyran62,535
1.430Diallyl carbonate72,075
1.4352-Propen-1-amine, N-ethyl-93,704
1.605Cyclobutaneoctol50,049
3.2502-Propenamide, N-(1-cyclohexylethyl)-72,158
3.285Hexanal139,699
3.3611,2,4-Triazole, 4-[N-(2-hydroxyethyl)-N-nitro]amino-139,316
3.555.beta.-Pinene432,956
3.593Cyclohexane, 1-methylene-4-(1-methylethenyl)-495,699
3.8552,6-Octadiene, 3,7-dimethyl-1-(2-propenyloxy)-52,281
3.870Pyridine, 2-(4-pyridylmethylenamino)-66,726
4.4502-Keto-3-methylene-5-methyltetrahydrothiophene54,550
5.1801-Pentene, 5-(2,2-dimethylcyclopropyl)-2-methyl-4-methylene-61,122
5.1801,6,10-Dodecatriene, 7,11-dimethyl-3-methylene-66,379
6.024D-Limonene12,325,691.5
6.7272-Hexenal147,443
7.639.gamma.-Terpinene163,504.5
7.7202-(3-Methyl-but-1-ynyl)-cyclohexene-1-carboxaldehyde77,433
8.645Benzene, 1-methyl-3-(1-methylethyl)-824,049.5
9.130trans-.beta.-Terpinyl butanoate54,444
9.689Octanal70,984.5
10.4106-Chloro-2,2,9,9-tetramethyl-3,7-decadiyn-5-ol53,045
10.838Dodecane, 5-methyl-66,791
11.9831-Hepten-6-one, 2-methyl-171,591
12.0005-Hepten-2-one, 6-methyl-214,793
14.5401,3,3-Trimethylcyclopropene71,027
14.763Nonanal104,120
16.748Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-265,149.5
17.1902-Furanmethanol, 5-ethenyltetrahydro-.alpha.,.alpha.,5-trimethyl-, cis-76,018
17.211cis-5-Methyl-2-isopropyl-2-hexen-1-al57,488
17.412Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-303,970
18.334Ammonium acetate216,233
18.712Furfural415,801
19.127Octane, 5-ethyl-2-methyl-100,177
19.7892,5-Heptadiene, (E,E)-78,358
20.4981,1-Dodecanediol, diacetate57,452
20.6631-Decene, 4-methyl-186,582
20.6831-Hexanol, 2-ethyl-133,849
21.128Benzaldehyde193,767
21.270Decane, 3,7-dimethyl-126,527
21.350Heptane, 2,3,4-trimethyl-67,035
21.5093,5-Octadien-2-one, (E,E)-102,421.5
21.858Undecane, 3,7-dimethyl-115,470
22.1501-Decanol, 5,9-dimethyl-92,827
22.402Cyclobutane, 1,2-bis(1-methylethenyl)-, trans-81,623
22.419Cyclohexene, 1-methyl-5-(1-methylethenyl)-98,513
22.8291-Isopropenyl-3-propenylcyclopentane124,022
23.2811,2-Dihydrolinalool101,149
23.317Cyclopropanemethanol, .alpha.,2-dimethyl-2-(4-methyl-3-pentenyl)-, [1.alpha.(R*),2.alpha.]-113,237
24.144Linalyl acetate2,220,364
24.4302-Decenal, (Z)-162,906
24.448Pentane, 1-(2,2-dibromocyclopropyl)-114,649
25.170Oxirane, octyl-783,66
25.3845-Decen-1-ol, acetate, (E)-100,866
25.4371-(1H-Imidazol-2-yl)-ethanone92,763
25.8621H-Pyrrole-2-carboxaldehyde, 1-ethyl-56,395.5
26.1742-Pentanol, 3-chloro-4-methyl-, (R*,S*)-(.+/−.)-245,217.5
26.420Butyrolactone60,795
27.010Sulfurous acid, octyl 2-propyl ester85,408
27.028Sulfurous acid, dodecyl 2-propyl ester73,132
30.1592,6-Octadienal, 3,7-dimethyl-, (Z)-928,389
30.4202,5-Dihydroxyheptane73,287
30.480Oxetane, 2-ethyl-3-methyl-81,149
30.640Thiophene, 3-methylsulfonyl-69,756
30.909p-Mentha-1(7),8(10)-dien-9-ol143,103
31.487.alpha.-Terpineol408,707
32.192(-)-Carvone402,266.5
33.0322,6-Octadienal, 3,7-dimethyl-, (Z)-1,115,315.5
33.362Linalyl acetate167,765.5
33.670Cyclopropanemethanol, 2-isopropylidene-.alpha.-methyl-55,873
33.949cis-p-Mentha-2,8-dien-1-ol843,89,5
34.7112,6-Octadien-1-ol, 2,7-dimethyl-253,900
34.970Cyclohexene, 3-acetoxy-4-(1-hydroxy-1-methylethyl)-1-methyl-68,155
35.301Citronellal77,794.5
35.581p-Mentha-1(7),8(10)-dien-9-ol51,607
36.309.beta.-Myrcene76,695.5
36.6491-Heptadec-1-ynyl-cyclohexanol86,850
36.6975-Isopropenyl-1,2-dimethylcyclohex-2-enol50,040
37.261trans-p-mentha-1(7),8-dien-2-ol262,206
37.270Carveol221,405
37.820Butanoic acid, 3-methyl-378,023.5
37.943.beta.-Myrcene279,721
38.2222,5-Pyrrolidinedione, 1-ethyl-221,432.5
38.401Benzyl alcohol196,719
38.417Benzene, [(2-propenyloxy)methyl]-158,666
38.7733-hydroxy-2-methyl-5-(prop-1-en-2-yl)cyclohexanone108,854
39.288Phenylethyl Alcohol64,612
39.733Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester71,831
39.739trans-.beta.-Ionone98,394
40.358Cyclododeca-5,9-dien-1-ol, 2-methyl-, (Z,Z)-58,035
40.8501-Ethynyl-1-cyclooctanol65,930
41.063Acetic acid, 2,6,6-trimethyl-3-methylene-7-(3-oxobutylidene)oxepan-2-yl ester92,499
43.248Octanoic acid53,587
43.765Triacetin72,394
47.9412(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-107,351
Table A10. Results for the TBC sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A10. Results for the TBC sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.715Acetic acid, cyano-58,385
0.814Acetic acid, cyano-41,951
0.890Disulfide, isopentyl methyl32,293
0.8915-Aminoisoxazole77,786
0.967Thiocyanic acid, 5-amino-3-methyl-4-isoxazolyl ester59,100
0.9703-Butynoic acid63,100
1.083Isobutyl nitrite180,084
1.086Propanal, 2-methyl-118,133
1.3051,4-Dioxane, 2,5-dimethyl-52,275
1.3194-Oxa-6-hepten-2-one, 6-bromo-3-methyl-76,789
1.452Oxalic acid, butyl propyl ester205,128
1.486Butanal, 2-methyl-454,443
1.495Oxirane, trimethyl-64,342
1.520Neburon152,396
1.590Carbonic acid, allyl 2-ethoxyethyl ester85,342
1.690Carbonic acid, allyl isohexyl ester65,883
1.6951,2-Pentadiene, 4,4-dimethyl-47,310
1.7502-Oxazolamine, 4,5-dihydro-5-(phenoxymethyl)-50,644
1.998Butanal, 3-methyl-97,682
2.602Octane, 2,3,6,7-tetramethyl-46,275
3.302Hexanal153,104.5
3.375(1RS)-propanol, 1-cyano-(2S)-(tert.butyloxycarbonyl)amino-62,614
3.4504-Chloro-3-methylbut-2-en-1-ol101,437
3.4853,4-Dimethylcyclohexanol42,683
5.165Cyclopropanemethanol, 2-isopropylidene-.alpha.-methyl-42,196
5.219Sulfide, cyclopentyl isopropyl70,260
6.0453-Cyclohexene-1-methanol, .alpha.,.alpha.,4-trimethyl-, acetate33,625
6.7322-Hexenal213,047
6.7443-Hexenal, (Z)-523,559
6.760Heptanonitrile257,029
6.9982,6-Nonadienal, (E,Z)-40,726
7.370Homopiperazine32,993
8.2704-Methyl-2-oxopentanenitrile45,025
8.2971-Pentanol91,705
8.478Sulfurous acid, hexyl octyl ester64,375
8.941Cyclohexane, 1,2,4-tris(methylene)-30,691
10.0651,3-Pentanedione, 2,4-dimethyl-1-phenyl-50,566
11.9971-Hepten-6-one, 2-methyl-43,920
12.959Spiro[3.5]nona-5,7-dien-1-one, 5,9,9-trimethyl-40,729
13.1042-Trifluoroacetoxydodecane38,203
14.530Cycloheptano[d]imidazolidine, 1,3-dihydroxy-2-methyl-73,913
14.5673-Hexen-1-ol, (E)-106,729.5
14.6051,3,2-Dioxaphospholane, 2-cyclohexyl-4,5-dimethyl-56,722
14.7201-Cyclohexylethanol38,396
14.763Nonanal119,865
14.7701,2,4-Triazol-5-acetic acid, 3-amino-50,306
14.8055-t-Butyl-cycloheptene36,888
15.219Oxirane, 2-butyl-3-methyl-, cis-47,050
15.6653,6-Heptanedione166,183
15.694Dodecane, 2-methyl-406,601
15.706Decane, 2,4-dimethyl-203,345
15.7902-Furannonanoic acid, 5-(21,23-dimethylpentacosyl)tetrahydro-, methyl ester45,108
15.825Piperidine-4-carboxamide, 1-(3,4,5-trimethoxybenzoyl)-47,258
15.8455-Bromo-1-hexene75,733
15.885.alpha.-Chlorocyclooctanone oxime66,635
15.9107-Octenoic acid, methyl ester39,237
16.203Benzene, 1-ethyl-3,5-dimethyl-41,469
18.342Ammonium acetate102,343
18.415Acetic acid64,804
18.7292-Nonenal, 8-oxo-173,371
18.7494-Pentenoic acid, 2-methylene-, methyl ester182,615
18.7856-Tetradecanol49,218
20.6711-Hexanol, 2-ethyl-721,868
21.081Benzaldehyde163,232.5
21.3053(2H)-Furanone, dihydro-5-isopropyl-65,684
21.4951,3-Butanedione, 1-(2-furanyl)-55,641
23.285Citronellyl butyrate39,321
24.110Linalyl acetate840,872
24.413Octanal45,631
24.423Cyclopropane, 1-heptyl-2-methyl-64,716
25.172Oxirane, dodecyl-94,251.5
26.0653-Isopropylidene-5-methyl-hex-4-en-2-one33,496
26.418Butyrolactone47,210
27.021Decane, 2,4,6-trimethyl-80,426
27.023Sulfurous acid, dodecyl 2-propyl ester91,716
27.9402,4,6-Cycloheptatrien-1-one, 4-methyl-88,296
28.746Tricyclo[3.3.1.1(3,7)]decane, 2-nitro-276,194.5
29.028Dispiro[4.2.4.2]tetradecane72,071
29.038Tricyclo[3.3.1.1(3,7)]decane, 2-nitro-117,874
30.1751,3-Pentadiene, 5-(2,2-dimethylcyclopropyl)-2,4-dimethyl-, (Z or E)-60,534
30.229.alpha.-Chlorocyclooctanone oxime35,753
30.524Aziridinone, 1-(1,1-dimethylethyl)-3-tricyclo[3.3.1.1(3,7)]dec-1-yl-73,998
30.5338,11,14-Eicosatrienoic acid, methyl ester, (Z,Z,Z)-93,089
31.424.alpha.-Terpineol47,609
32.351Dispiro[4.2.4.2]tetradecane367,543.5
33.945Pentanoic acid44,424
34.295Methyl salicylate132,619.5
34.425Benzenamine, N-[4-(1-methylethyl)benzylidene]-4-(1-pyrrolidylsulfonyl)-40,434
34.6852,6-Octadien-1-ol, 2,7-dimethyl-93,110
34.986Cyclopropanemethanol, 2-isopropylidene-.alpha.-methyl-81,101
35.0152H-Pyran-3-ol, 6-ethenyltetrahydro-2,2,6-trimethyl-107,522
35.6481-Phenyl-2-butanone77,853.5
37.4371,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-182,739.5
37.818Heptanoic acid327,611
37.826Formic acid, 2-methylpropyl ester270,250
38.2212,5-Pyrrolidinedione, 1-ethyl-111,221.5
38.402Benzyl-diseryl phosphate132,761
38.403Benzyl alcohol126,413
39.052Pregnane-3,8,12,14,17,20-hexol, (3.beta.,5.alpha.,12.beta.,14.beta.,17.alpha.,20S)-34,151
39.285Phenylethyl Alcohol55,509
39.726trans-.beta.-Ionone77,701
39.7273-Buten-2-one, 4-(2,6,6-trimethyl-1-cyclohexen-1-yl)-97,960
40.85211-(2-Cyclopenten-1-yl)undecanoic acid, (+)-52,398
41.019Pentane, 2-bromo-31,014
41.044Acetic acid, 6,6-dimethyl-2-methylene-7-(3-oxobutylidene)oxepan-3-ylmethyl ester78,871
43.0853-Hepten-2-one, O-methyloxime33,472
44.6981,5-Hexadiene, 2,5-dipropyl-38,397
47.9382(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-105,392
52.435Methyl 4,6-benzylidene-3-deoxy-4-hexopyranoside41,183
52.7252-(Imidazole-1-sulfonyl)-benzoic acid methyl ester34,590
Table A11. Results for the WBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
Table A11. Results for the WBL sample fingerprint determination with indication of the retention time (RT) and abundance mean for every identified compound.
RTCompound NameAbundance Mean
0.103Borane carbonyl72,523
0.770Acetic acid, cyano-119,964
0.840aS-Triazine-3,5(2H,4H)-dione, 6-(dimethylamino)-109,600
1.096Acetone194,968
2.590Benzeneacetic acid, 2-tetradecyl ester142,487
3.265Hexanal1,020,449
3.455Allyl trifluoroacetate100,639
6.6892-Hexenal165,126.5
6.982N-(Trifluoroacetyl)-N,O,O′,O″-tetrakis(trimethylsilyl)norepinephrine474,946.5
8.491Dodecane, 4-methyl-154,490
8.511Octane, 5-ethyl-2-methyl-209,142
9.656Octanal133,742
10.9642-Heptenal, (Z)-132,743.5
11.9575-Hepten-2-one, 6-methyl-3,391,388
12.325trans-Rose oxide65,810
14.753Nonanal36,0131
15.167trans,cis-2,6-Nonadien-1-ol166,441.5
18.350Ammonium acetate1,197,691.5
18.705Furfural245,261
19.132Nonane, 5-(1-methylpropyl)-192,955
19.135Tetradecane, 4-methyl-137,144
20.725Tridecane, 6-methyl-108,712
21.129Benzaldehyde309,445.5
21.375Nonane, 5-(2-methylpropyl)-90,406
24.1455-Hepten-1-ol, 2-ethenyl-6-methyl-355,464,5
24.4731-Octanol104,288
24.4931-Nonene128,456
25.494(S)-(-)-1,2,4-Butanetriol, 2-acetate89,072
25.8442(5H)-Furanone, 5,5-dimethyl-107,360
26.274(S)-(+)-1,2-Propanediol3,130,504
26.282R-(-)-1,2-propanediol3,474,497
27.054Sulfurous acid, 2-propyl undecyl ester407,374
28.037Acetophenone134,811
28.823Dodecane, 2,5-dimethyl-90,189
30.2052,6-Octadien-1-ol, 2,7-dimethyl-224,600
30.445Nonane, 4,5-dimethyl-125,045
30.657Verbenol121,652
31.525.alpha.-Terpineol345,922
31.7552′-Ethyl-3-[(3-phenylpropionyl)hydrazono]butyranilide86,101
32.640Tetradecane365,951
32.666Eicosane, 10-methyl-386,657
33.0252,6-Octadienal, 3,7-dimethyl-, (Z)-132,753
34.015Pentanoic acid82,703
34.325Oxalic acid, octadecyl propyl ester88,447
34.3772-methyltetracosane115,659
34.6972-Dodecenal, (E)-163,451
34.697Oxalic acid, propyl tridecyl ester104,743
34.9454-Methyl-2-oxopentanenitrile101,744
35.141Heptadecane, 2,6,10,14-tetramethyl-101,875
35.145Nonadecane, 2-methyl-124,979
35.3196-Octen-1-ol, 3,7-dimethyl-, (R)-507,414.5
35.505Hexadecane, 2-methyl-83,391
35.506Heptadecane, 3-methyl-103,232
35.765Ethanol, 2-(2-butoxyethoxy)-106,602.5
36.134Eicosane155,798
36.3432,6-Octadien-1-ol, 2,7-dimethyl-242,610
36.468Cyclohexane, eicosyl-249,746
36.651Eicosane, 10-methyl-298,746.5
37.6651,4-Methanobenzocyclodecene, 1,2,3,4,4a,5,8,9,12,12a-decahydro-72,802.5
37.838Hexanoic acid886,987
37.9531-Bromo-3,7-dimethyl-2,6-octadiene1,140,624.5
38.2412,5-Pyrrolidinedione, 1-ethyl-368,554.5
38.419Benzyl-diseryl phosphate533,200
38.420Benzyl alcohol754,339
38.705Thiazolo[3,2-a]pyridinium, 3-hydroxy-2-methyl-, acetate92,220
38.915Methanesulfonylacetic acid98,645
39.303Phenylethyl Alcohol91,829
39.585Octane, 2,3,3-trimethyl-109,959
39.596Nonadecane, 2-methyl-159,690
40.285Benzene, (1-butyloctyl)-115,894
40.540Creosol139,225.5
40.715Hexanoic acid, 2-ethyl-155,344
40.754Heptanoic acid284,358
40.871Ethanone, 1-(1H-pyrrol-2-yl)-163,370.5
41.055Pregan-20-one, 2-hydroxy-5,6-epoxy-15-methyl-107,105
41.205Pentafluoropropionic acid, decyl ester85,453
41.425m-Toluic acid, 2-ethylcyclohexyl ester84,728
41.847Benzaldehyde, 4-methoxy-534,873.5
42.3653-Isopropylidene-5-methyl-hex-4-en-2-one103,040
42.505(+)-3-Carene, 10-(acetylmethyl)-66,804
43.255Octanoic acid3,876,198
44.6232-Pentadecanone, 6,10,14-trimethyl-225,638
44.7552,6-Octadiene-1,8-diol, 2,6-dimethyl-63,621
44.755p-Mentha-1,8-dien-7-yl acetate96,497
45.3063-Ethyl-1-heptyne-3-ol106,999.5
45.515n-Hexadecanoic acid282,887
45.899.alpha.-Bulnesene79,896
46.293Cycloheptane, 4-methylene-1-methyl-2-(2-methyl-1-propen-1-yl)-1-vinyl-87,168
46.294(-)-Isolongifolol, acetate122,326
46.4242-(p-Tolylmethyl)-p-xylene171,310
46.430Ethane, 1-(o-ethylphenyl)-1-phenyl-144,701
47.579Pyrrole-2-carboxylic acid, 4-(1-chlorodec-1-enyl)-3,5-dimethyl-, ethyl ester98,928
47.605n-Decanoic acid2,589,191
47.9402(4H)-Benzofuranone, 5,6,7,7a-tetrahydro-4,4,7a-trimethyl-416,391.5
50.353Benzophenone885,368
51.520Vanillin684,992
52.9901,2-Benzenedicarboxylic acid, butyl 2-ethylhexyl ester304,646
52.9911,2-Benzenedicarboxylic acid, bis(2-methylpropyl) ester390,059

References

  1. Uhl, W.J. L’Arte del Tè, Guida Alla Selezione, Infusione e Presentazione Di Tè Squisiti, 1st ed.; Il Castello: Milan, Italy, 2017. [Google Scholar]
  2. Deka, H.; Barman, T.; Dutta, J.; Devi, A.; Tamuly, P.; Paul, R.K.; Karak, T. Catechin and caffeine content of tea (Camellia sinensis L.) leaf significantly differ with seasonal variation: A study on popular cultivars in North East India. J. Food Compos. Anal. 2020, 103684. [Google Scholar] [CrossRef]
  3. Yu, L.; Wang, S.; Li, T.; Han, L. Response of soil faunal communities to tea tree cultivars in the hilly region of western Sichuan, China. Sci. Hortic. 2021, 275, 109701. [Google Scholar] [CrossRef]
  4. Wang, M.; Bai, Y.; Wang, Z.; Zhang, Z.; Liu, D.; Lian, X. Higher tea consumption is associated with decreased risk of small vessel stroke. Clin. Nutr. 2020. [Google Scholar] [CrossRef] [PubMed]
  5. Ody, P. Complete Guide to Medicinal Herbs, 2nd ed.; Dorling Kindersley Publishing: London, UK, 2008; pp. 48–53. [Google Scholar]
  6. Zhang, P.; Wang, W.; Liu, X.-H.; Yang, Z.; Gaur, R.; Wang, J.-J.; Ke, J.-P.; Bao, G.-H. Detection and quantification of flavoalkaloids in different tea cultivars and during tea processing using UPLC-TOF-MS/MS. Food Chem. 2021, 339, 127864. [Google Scholar] [CrossRef] [PubMed]
  7. Wang, J.L.J.; Yao, Y.; Hua, J.; Zhou, Q.; Jiang, Y.; Deng, Y.; Yang, Y.; Wang, J.; Yuan, H.; Dong, C. Phytochemical comparison of different tea (Camellia sinensis) cultivars and its association with sensory quality of finished tea. LWT 2020, 117, 108595. [Google Scholar] [CrossRef]
  8. Zhang, Y.; Wang, L.; Wei, K.; Ruan, L.; Wu, L.; He, M.; Tong, H.; Cheng, H. Differential regulatory mechanisms of secondary metabolites revealed at different leaf positions in two related tea cultivars. Sci. Hortic. 2020, 270, 109579. [Google Scholar] [CrossRef]
  9. Okakura, K. Il Libro del Tè, 1st ed.; Garzanti: Milan, Italy, 2016. [Google Scholar]
  10. Mu, B.; Zhu, B.; Lv, H.-P.; Yan, H.; Peng, Q.-H.; Lin, Z. The enantiomeric distributions of volatile constituents in different tea cultivars. Food Chem. 2018, 265, 329–336. [Google Scholar] [CrossRef]
  11. Zhao, Y.; Lai, W.; Xu, A.; Jin, J.; Wang, Y.; Xu, P. Characterizing relationships among chemicals, sensory attributes and in vitro bioactivities of black tea made from an anthocyanins-enriched tea cultivar. LWT 2020, 132, 109814. [Google Scholar] [CrossRef]
  12. Liao, X.; Yan, J.; Wang, B.; Meng, Q.; Zhang, L.; Tong, H. Identification of key odorants responsible for cooked corn-like aroma of green teas made by tea cultivar ‘Zhonghuang 1’. Food Res. Int. 2020, 136, 109355. [Google Scholar] [CrossRef]
  13. Ji, H.-G.; Lee, Y.-R.; Lee, M.-S.; Hwang, K.-H.; Kim, E.-H.; Park, J.-S.; Hong, Y.-S. Metabolic phenotyping of various tea (Camellia sinensis L.) cultivars and understanding of their intrinsic metabolism. Food Chem. 2017, 233, 321–330. [Google Scholar] [CrossRef]
  14. Wang, C.; Zhang, C.; Kong, Y.; Peng, X.; Li, C.; Liu, S.; Du, L.; Xiao, D.; Xu, Y. A comparative study of volatile components in Dianhong teas from fresh leaves of four tea cultivars by using chromatography-mass spectrometry, multivariate data analysis, and descriptive sensory analysis. Food Res. Int. 2017, 100, 267–275. [Google Scholar] [CrossRef]
  15. Ye, N.; Zhang, L.; Gu, X. Discrimination of Green Teas from Different Geographical Origins by Using HS-SPME/GC–MS and Pattern Recognition Methods. Food Anal. Methods 2012, 5, 856–860. [Google Scholar] [CrossRef]
  16. Il Mondo del Tè. Available online: https://mondodelte.wordpress.com/2014/09/10/icomposti-chimici-nel-te/ (accessed on 30 June 2020).
  17. Zheng, X.-Q.; Li, Q.-S.; Xiang, L.-P.; Liang, Y.-R. Recent Advances in Volatiles of Teas. Molecules 2016, 21, 338. [Google Scholar] [CrossRef]
  18. Collings, E.R.; Alamar, M.C.; Redfern, S.; Cools, K.; Terry, L.A. Spatial changes in leaf biochemical profile of two tea cultivars following cold storage under two different vapour pressure deficit (VPD) conditions. Food Chem. 2019, 277, 179–185. [Google Scholar] [CrossRef]
  19. Han, Z.-X.; Rana, M.-M.; Liu, G.-F.; Gao, M.-J.; Li, D.-X.; Wu, F.-G.; Li, X.-B.; Wan, X.-C.; Wei, S. Data on green tea flavor determinantes as affected by cultivars and manufacturing processes. Data Brief 2017, 10, 492–498. [Google Scholar] [CrossRef]
  20. Abbatangelo, M.; Núñez-Carmona, E.; Sberveglieri, V.; Zappa, D.; Comini, E.; Sberveglieri, G. Application of a Novel S3 Nanowire Gas Sensor Device in Parallel with GC-MS for the Identification of Rind Percentage of Grated Parmigiano Reggiano. Sensors 2018, 18, 1617. [Google Scholar] [CrossRef] [Green Version]
  21. Núñez-Carmona, E.; Abbatangelo, M.; Sberveglieri, V. Innovative Sensor Approach to Follow Campylobacter jejuni Development. Biosensors 2019, 9, 8. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Abbatangelo, M.; Núñez-Carmona, E.; Duina, G.; Sberveglieri, V.; Núñez-Carmona, E. Multidisciplinary Approach to Characterizing the Fingerprint of Italian EVOO. Molecules 2019, 24, 1457. [Google Scholar] [CrossRef] [Green Version]
  23. Núñez-Carmona, E.; Abbatangelo, M.; Zottele, I.; Piccoli, P.; Tamanini, A.; Comini, E.; Sberveglieri, G.; Sberveglieri, V. Nanomaterial Gas Sensors for Online Monitoring System of Fruit Jams. Foods 2019, 8, 632. [Google Scholar] [CrossRef] [Green Version]
  24. Sberveglieri, V.; Bhandari, M.P.; Carmona, E.N.; Betto, G.; Sberveglieri, G. A novel MOS nanowire gas sensor device (S3) and GC-MS-based approach for the characterization of grated Parmigiano Reggiano cheese. Biosensors 2016, 6, 60. [Google Scholar] [CrossRef] [Green Version]
  25. Sberveglieri, G. Recent developments in semiconducting thin-film gas sensors. Sens. Actuators B Chem. 1995, 23, 103–109. [Google Scholar] [CrossRef]
  26. Comini, E.; Ottini, L.; Faglia, G.; Sberveglieri, G. SnO2 RGTO UV Activation for CO Monitoring. IEEE Sens. J. 2004, 4, 17–20. [Google Scholar] [CrossRef]
  27. Dieguez, A.; Romano-Rodrıguez, A.; Morante, J.; Sangaletti, L.; Depero, L.E.; Comini, E.; Faglia, G.; Sberveglieri, G. Influence of the completion of oxidation on the long-term response of RGTO SnO2 gas sensors. Sens. Actuators B Chem. 2000, 66, 40–42. [Google Scholar] [CrossRef]
  28. Comini, E.; Faglia, G.; Sberveglieri, G.; Pan, Z.; Wang, Z.L. Stable and highly sensitive gas sensors based on semiconducting oxide nanobelts. Appl. Phys. Lett. 2002, 81, 1869–1871. [Google Scholar] [CrossRef]
  29. Sberveglieri, G.; Concina, I.; Comini, E.; Falasconi, M.; Ferroni, M.; Sberveglieri, V. Synthesis and integration of tin oxide nanowires into an electronic nose. Vacuum 2012, 86, 532–535. [Google Scholar] [CrossRef]
  30. Zappa, D.; Comini, E.; Zamani, R.; Arbiol, J.; Morante, J.; Sberveglieri, G. Preparation of copper oxide nanowire-based conductometric chemical sensors. Sens. Actuators B Chem. 2013, 182, 7–15. [Google Scholar] [CrossRef]
  31. Abbatangelo, M.; Núñez-Carmona, E.; Sberveglieri, V. Application of a novel S3 nanowire gas sensor device in parallel with GC-MS for the identification of Parmigiano Reggiano from US and European competitors. J. Food Eng. 2018, 236, 36–43. [Google Scholar] [CrossRef]
  32. Abbatangelo, M.; Núñez-Carmona, E.; Sberveglieri, V. Novel equipment for food quality control: An IoT nanowire gas sensors array. Chem. Eng. Trans. 2019, 75, 25–30. [Google Scholar]
  33. Yannai, S. Dictionary of Food Compounds with CD-ROM, 2nd ed.; CRC Press: Boca Raton, FL, USA, 2012. [Google Scholar]
  34. Burdock, G.A. Fenaroli’s Handbook of Flavor Ingredients, 5th ed.; CRC Press: Boca Raton, FL, USA, 2005. [Google Scholar]
Figure 1. PCA analysis representing the results obtained from the comparison between black, green, and white tea.
Figure 1. PCA analysis representing the results obtained from the comparison between black, green, and white tea.
Sensors 21 04266 g001
Figure 2. (a) Sensor response representation to the green teas RGTO sensor SnO2 + Au and (b) mean values for the ΔR/R0 with the representation of the SD bar for the different green teas measurements.
Figure 2. (a) Sensor response representation to the green teas RGTO sensor SnO2 + Au and (b) mean values for the ΔR/R0 with the representation of the SD bar for the different green teas measurements.
Sensors 21 04266 g002
Figure 3. PCA analysis representing the results obtained from the comparison between green tea.
Figure 3. PCA analysis representing the results obtained from the comparison between green tea.
Sensors 21 04266 g003
Figure 4. (a) Sensor response representation to the green teas RGTO sensor SnO2 and (b) mean values for the ΔR/R0 with the representation of the SD bar for the different green teas measurements.
Figure 4. (a) Sensor response representation to the green teas RGTO sensor SnO2 and (b) mean values for the ΔR/R0 with the representation of the SD bar for the different green teas measurements.
Sensors 21 04266 g004
Figure 5. PCA analysis representing the results obtained from the comparison between black tea.
Figure 5. PCA analysis representing the results obtained from the comparison between black tea.
Sensors 21 04266 g005
Table 1. Samples description.
Table 1. Samples description.
KindCodeDescriptionComponentsNumber of
Replicates
GC-MSS3
Green teaTGOGreen tea with orange aroma88% Green tea + 10% natural orange aroma + 1% loto flower + 1% orange skin35
SGPPure green tea100% Green tea312
SGLGreen tea with lemon aromaGreen tea 83% + lemon aroma + lemon juice concentrate 4%312
SGMGreen tea with Matcha teaGreen tea + green tea Matcha312
Black teaTBVBlack tea with vanilla aroma91,5% tea + 8% aroma + 0,5% vanilla35
TBCPure black tea from Ceylon100% Black tea Ceylon Sri Lanka312
EBLBlack tea with lemon aromaBlack tea from India and lemon aroma312
EBBBlack tea Earl GreyBlack Tea from India + bergamot juice312
EBPPure black teaBiological black Tea312
SBLBlack tea with lemon aromaBlack tea + aroma + 1.04% powder of lemon juice312
White teaBWLWhite tea with lemongrassWhite tea leaf 90%, dried lemongrass 10%38
Total number of samples for each technique33114
Table 2. Sensor array composition of S3 device and sensors characteristics.
Table 2. Sensor array composition of S3 device and sensors characteristics.
MaterialKindWorking Temperature
SnO2 + AuRGTO400 °C
SnO2RGTO400 °C
CuONanowire350 °C
SnO2 + AuNanowire350 °C
SnO2Nanowire350 °C
Table 3. Common compounds between the analyzed green teas.
Table 3. Common compounds between the analyzed green teas.
CompoundTGOSPGSGLSGM
Cyanoacetic acid1.685 × 1051.165 × 1055.677 × 1046.301 × 104
Hexanal7.22 × 1055.751 × 1052.889 × 1043.529 × 105
Limonene1.378 × 1071.976 × 1052.602 × 1082.011 × 105
6-metile 5-epten-2-one6.233 × 1053.789 × 1052.731 × 1053.617 × 105
Nonanal5.81 × 1051.133 × 1059.298 × 1041.462 × 105
α-terpineol1.098 × 1063.145 × 1068.024 × 1067.628 × 105
5,6,7,7a-tetrahydro, 4,4,7a- Trimethyl 2 (4H)—benzofuranone3.448 × 1054.843 × 1054.819 × 1052.836 × 105
Table 4. Common compounds between the analyzed black teas.
Table 4. Common compounds between the analyzed black teas.
CompoundTBVEBPEBLEBBSBLTBC
Nonanal3.739 × 1056.164 × 1042.278 × 1051.129 × 1051.041 × 1051.198 × 105
Ammonium acetate2.141× 1064.641 × 1045.945 × 1056.868 × 1052.162 × 1051.023 × 105
Phenylethyl alcohol8.167× 1044.682 × 1044.243 × 1047.557 × 1046.461 × 1045.550 × 104
5,6,7,7a-tetrahydro, 4,4,7a- Trimethyl 2 (4H)—benzofuranone2.784 × 1053.536 × 1041.473 × 1057.543 × 1041.073 × 1051.053 × 105
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Núñez-Carmona, E.; Abbatangelo, M.; Sberveglieri, V. Internet of Food (IoF), Tailor-Made Metal Oxide Gas Sensors to Support Tea Supply Chain. Sensors 2021, 21, 4266. https://doi.org/10.3390/s21134266

AMA Style

Núñez-Carmona E, Abbatangelo M, Sberveglieri V. Internet of Food (IoF), Tailor-Made Metal Oxide Gas Sensors to Support Tea Supply Chain. Sensors. 2021; 21(13):4266. https://doi.org/10.3390/s21134266

Chicago/Turabian Style

Núñez-Carmona, Estefanía, Marco Abbatangelo, and Veronica Sberveglieri. 2021. "Internet of Food (IoF), Tailor-Made Metal Oxide Gas Sensors to Support Tea Supply Chain" Sensors 21, no. 13: 4266. https://doi.org/10.3390/s21134266

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop