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Article

Effects of Drying Methods on the Volatile Compounds of Alliummongolicum Regel

School of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou 014010, China
*
Author to whom correspondence should be addressed.
Foods 2022, 11(14), 2080; https://doi.org/10.3390/foods11142080
Submission received: 15 May 2022 / Revised: 6 July 2022 / Accepted: 11 July 2022 / Published: 13 July 2022

Abstract

:
Allium mongolicum Regel (AMR) is a traditional Mongolian food. Various drying methods play an important role in foodstuff flavor. However, the effect of different drying methods on AMR is limited. In this study, freeze drying (FD), vacuum drying (VD), and hot-air drying (HAD) were applied to dry fresh AMR to a moisture content of 8% (wet basis); headspace gas chromatography mass spectrometry was adopted to identify volatile compounds in AMR; and principal component analysis and fingerprint similarity analysis based on the Euclidean distance was used to distinguish the fresh and three dried treatments. In total, 113 peaks were detected and 102 volatile compounds were identified. Drying causes significant changes to the amounts of volatile compounds in AMR, and the drying method plays a key role in determining which volatile compounds appear. Compared to FD, VD and HAD were more appropriate for drying AMR because the volatile compounds after VD and HAD were closer to those of fresh AMR. These findings can provide a scientific basis to help to preserve future seasonal functional food and aid in Mongolian medicine production.

1. Introduction

Allium mongolicum Regel (AMR), a perennial Liliaceae herb native to Mongolia, Kazakhstan, and China (Inner Mongolia, Gansu, Ningxia, and Xinjiang) [1] and also known as the Mongolia leek, grows in high-altitude desert steppe and desert areas [2]. AMR is resistant to wind erosion, drought, and low temperature and is therefore important in preventing wind erosion as well as in maintaining and improving regional ecological environments.
AMR is a traditional Mongolian medicinal herb [3]. Its leaves are rich in nutrients, possess a unique flavor, and is a natural green uncontaminated food [4] used to make sauces in cold vegetable dishes and stuffing of steamed stuffed buns and dumplings. In addition, AMR is beneficial in managing functional constipation, helping to maintain colon water content and increasing intestinal transit [1]. The aqueous extract of AMR has the potential to be used as a functional food or nutraceutical in the prevention and treatment of obesity and hypertension [3].
AMR is widely distributed on grassland, and it is eaten by both humans and sheep. It is found that sheep meat from AMR-pasture-fed animals tastes better. Zhao et al. [5] found that feeding AMR to sheep could significantly improve the quality of mutton.
Some research yielded AMR extracts to feed sheep [2,6]. The water-insoluble flavonoids from AMR were found to reduce the unpleasant mutton flavor and improve meat quality of sheep. AMR polysaccharide supplementation significantly increased serum total protein, albumin, and globulin concentrations and reduced mortality after LPS challenge [7]. AMR supplementation can also affect nutrient digestibility, CH4 emission, and the antioxidant capacity of Simmental calves in northwest China [8].
However, fresh AMR is seasonal and perishable because of its high moisture content, making AMR difficult to be enjoyed year round. Overcoming this seasonality is crucial to utilizing AMR. Drying, as an essential processing operation, can reduce moisture to a safe level at which microorganisms and deterioration reactions are inhibited. Freeze drying (FD) has the highest cost, but produces the highest quality food products among all drying methods [9,10]. Hot-air drying (HAD) is low-cost and the most common method that is applied to the storage of agricultural products [11,12]. The main drawbacks of HAD are undesirable physical, structural, chemical, organoleptic, and nutritional changes [13]. Vacuum drying (VD) with low pressure and low drying temperatures can yield a higher quality than atmospheric drying [14].
Flavor is mainly determined by volatile components and is a key factor for consumers to accept dried AMR. Headspace gas chromatography mass spectrometry (HS-GC-MS) is a new and reliable method used to identify volatile compounds in foods, such as fermented rose jams [15], Dezhou braised chicken [16], dry-cured fish [17], yak milk [18], soybeans [19], tea [20], Chinese prickly ash peels [21], canned bamboo shoots [22], and fresh-cut yams [23]. HS-GC-MS was used to analyze the changes of volatile components in fried Tricholoma matsutake Singer under different heating temperatures and times [24], and a total of 40 signals that corresponded to 24 compounds were identified. The effects of spray drying and FD on volatile components of yak milk powder were compared by Feng et al. [18]. Their results indicated that different drying methods affect the flavor of yak milk powder. Volatile components in Acacia honey powders were found to have significant differences under various drying conditions [25]. Changes in the volatile compounds of peppers during the drying process based on HS-GC-MS was studied by Ge et al. [26]. Their results indicated that the change of volatile compounds is significantly determined by the drying temperature.
Once moisture is removed from AMR, it has a potential to be used as a feed supplement and edible spice over a long term. However, dried AMR still has not been widely adopted. Until now, the kinds of drying methods that can be employed to dry AMR and retain flavor to its maximum are still not subject to research. In this study, HS-GC-MS was used to detect volatile components of AMR after processing by HAD, VD, and FD. The effect of these drying methods on the volatile compounds was studied with principal component analysis (PCA) and Euclidean distance analysis. Finally, the knowledge obtained from this study has the potential to be used to improve the industrial processing of AMR traditional feed supplements and edible production.

2. Materials and Methods

2.1. Materials

Fresh aerial parts of AMR were purchased from a local market in Baotou, Inner Mongolia, China, in August 2021. These parts were washed and the surface water of the sample was removed by centrifugation. Then, samples were cut into segments of 5 cm in length. Portions of each sample were immediately stored at 4 °C in sealed plastic bags as samples. Before the drying experiment began, the AMR in a sealed plastic bag was taken out and placed indoors until its temperature stabilized. The other samples were placed in a polypropylene tray and frozen at −25 °C for at least 8 h as the frozen samples. The initial moisture content of the sample was 91.93% (wet basis).

2.2. Drying Experiments

The AMR samples were dried by using different drying methods until the final moisture content was <8% (wet basis). These methods are described below. After drying, samples were vacuum-packed and stored for 10 days at ambient temperature (25 °C ± 5 °C) for subsequent analyses.

2.2.1. FD Process

The frozen samples (500 g) were dried by using a freeze dryer (SCIENTZ-18N, Ningbo Xinzhi Biotechnology Co., Ltd., Ningbo, China). The cold trap temperature was set at −60 °C, and the pressure of the drying chamber was set at 2 Pa during the drying process. Drying was completed after 29 h.

2.2.2. VD Process

The samples (500 g) were dried by using a vacuum dryer (DZF-6050B, Shanghai Yiheng Science Co., Ltd., Shanghai, China). The drying temperature was set at 50 °C and the pressure of the drying chamber was set at 2.0 × 104 Pa during the drying process. Drying was completed after 36 h.

2.2.3. HAD Process

The samples (500 g) were dried by using a hot-air dryer (ZXRD-B5110, Shanghai Zhicheng Analytical Instrument Manufacturing Co., Ltd., Shanghai, China). The drying temperature was set at 50 °C. Drying was completed after 46 h.

2.3. HS-GC-MS Analysis

The analyses were performed on a GC-MS (FlavourSpec®, Gesellschaft für Analytische Sensorsysteme mbH, Dortmund, Germany) equipped with an autosampler (CTC Analytics AG, Zwingen, Switzerland) with a headspace sampling unit and a 1 mL gas-tight syringe (Gerstel GmbH, Mühlheim, Germany). The GC was equipped with an MXT-WAX capillary column (30 m × 0.53 mm × 1 μm).
The column temperature was 60 °C, and the temperature of the MS was 45 °C. Nitrogen of 99.99% purity was used as a carrier gas and drift gas. The carrier gas was programmed to flow as follows: 2 mL/min during 0–2 min, 2–10 mL/min during 2–10 min, 10–100 mL/min during 10–20 min, and 100–150 mL/min during 20–40 min. The drift gas was set at 150 mL/min.

2.4. Statistical Analysis

Data from volatile compounds in samples were acquired and processed using Laboratory Analytical Viewer analysis software and Library Search qualitative software (G.A.S., Dortmund, Germany). Laboratory Analytical Viewer was used to view the analytical spectrum, where each dot represents a volatile compound. A reporter plugin was directly used to compare the spectral differences between samples (two-dimensional and three-dimensional views). A gallery plot plugin was used to compare fingerprints and visually and quantitatively compare the differences in volatile components among different samples. A dynamic PCA plugin was used for dynamic PCA and clustering analysis of the samples and to quickly determine the types of unknown samples. GC-IMS Library Search is an application software that was used to qualitatively analyze substances based on the NIST2014 Mass Spectral Library and IMS Library.

3. Results and Discussion

3.1. Visual Topographic Plot Comparison

The differences in volatile compounds in AMR samples from fresh and different drying methods were analyzed by using HS–GC–IMS. The data are represented by three-dimensional topographical visualizations in Figure 1a, where the Y-axis represents the retention time of the gas chromatograph, the X-axis represents the ion migration time for identification, and the Z-axis represents the peak height for quantification. As can be seen from Figure 1a, the volatile compounds and the signal intensity of AMR of fresh and dried samples from different drying methods are significantly different. The volatile compounds in fresh AMR have maximum intensities. Compared with the fresh samples, some volatile compounds were generated and some volatile components disappeared, so the contents of some volatile components decreased and the contents of other volatile components increased in dried samples. This phenomenon was also observed by Guo et al. [24]. They reported that some compounds dramatically decreased and some volatile compounds were formed once processed by HAD.
The data are represented by two-dimensional topographical visualizations in Figure 1b. In Figure 1b, the ion migration time and the position of the reactive ion peak were normalized. The fingerprint shows the total volatile components of the AMR samples. Each dot on the fingerprint represents a single volatile compound separated from the total volatile components. The color of the dots represents the signal intensity of the volatile components. The redder the color, the greater the signal intensity and the higher the content of the target volatile compound. As can be clearly seen from Figure 1b, the fingerprint of fresh AMR is obviously different from that of the dried AMR samples, with most of the signals within a retention time of 30–1000 s and with a drift time of 1.0–1.75. The fingerprints of the three dried AMR samples were similar to each other, but their signal intensities were slightly different. This means that each dried AMR sample had a unique specific flavor.
The difference comparison model was applied to compare the differences of AMR samples. The topographic plot of fresh AMR was selected as a reference, and the topographic plot of dried samples was deducted from the reference. The results are shown in Figure 2. The white, red, and blue colors in dried samples indicate that the concentration of the volatile compounds is consistent with that of the reference, higher than that of the reference, and lower than that of the reference, respectively. It can be seen that most of the signals in the topographic plot of fresh and dried samples from different areas appear within a retention time of 30–1300 s. After drying, the signal intensities of some compounds decrease, while others disappear completely. In contrast, some signal intensities increase, indicating that the content of some compounds increases after drying. It also can be seen from Figure 2 that the signals for a retention time between 600 and 700 s in FD are intense, but in VD and HAD disappear. The different drying methods lead to variations in the volatile compounds in the dried AMR samples.

3.2. Effects of the Different Drying Methods on the Volatile Compounds in the AMR Samples

To further compare the specific volatile compounds in each group of samples, all peaks were selected for fingerprint plot comparison, as shown in Figure 3. Columns represent the detected substance, and rows represent the content of the same volatile compounds in different samples. Individual dots represent a volatile compound, and the color represents the content levels of the volatile compounds (the redder and brighter the color, the higher the content). In the fingerprint plot, unidentified volatile compounds are represented by numbers, and some volatile compounds with monomer and dimer morphologies were detected.
The analysis of this fingerprint plot clearly illustrates the differences in volatile components of AMR with different drying methods. As shown in Figure 3, 2-methylpropy-l-butanoate, isopulegol, dihydro-5-methyl-2(3H)-furanone, dimethyl trisulfide, ethyl heptanoate, propyl disulfide, gamma-butyrolactone, methyl propyl trisulfide M, methyl benzoate, ethyl propanoate, 2,3-dimethylpyrazine M, diallyl sulfide, 2-methyl-3-furanthiol, propyl butyrate M, pentanoic acid, butyl 2-methylbutanoate, 2,3-dimethylpyrazine D, propyl 1-propenyl disulfide D, methyl salicylate, ethyl 2-hydroxy-4-methylpentanoate, trimethyl pyrazine, methyl propyl trisulfide D, dipropyl trisulfide D, meta-cresol, heptanol, 3-acetyl-6-methyl-2H-pyran-2,4(3H)-dione M, 3-acetyl-6-methyl-2H-pyran-2,4(3H)-dione D, 2-hydroxy-3-methyl-2-cyclopentene-1-one (cyclotene), octen-3-ol, and butyl hexanoate, labelled as A, were detected in fresh AMR samples and were non-existent in dried AMR samples, so these compounds can be extremely damaged after drying.
2-Propanone, isopentanol, 2-butanone, butanal, methyl acetate, 1-penten-3-ol, isobutyric acid, ethyl trans-2-butenoate, 2-butanol, 3-methyl-2-butenal, hexanal, 1-penten-3-one, heptanal, 6-methyl-5-hepten-2-one, 3-methyl butanal D, 2-methyl-1-heptene, and 2,6-dimethyl pyrazine, labelled as B, were not detected in fresh AMR samples, but exist in dried AMR samples, so there were generated during drying. Alpha-terpinene M, 1,8-cineole M, isovaleric acid, alpha-phellandrene, 2,3-dihydro-4-hydroxy-2,5-dimethyl-3-furanone, hexane nitrile, 2,3-dimethyl-5-ethyl pyrazine, n-hexanol, 1,8-cineole D, methyl hexanoate, alpha-terpinene D, (Z)-4-heptenal, and 2-methyl-2-pentenal D, labelled as C, were not detected in fresh AMR samples, but only exist in the FD AMR samples, so these compounds can only be formed in FD.
The amounts of dimethyl disulfide, methyl propyl disulfide M, methyl propyl disulfide D, amyl acetate, ethyl hexanoate M, dipropyl trisulfide M, ethyl hexanoate D, propyl butyrate D, 2-ethyl furan, 1-butanol, (3E)-hexenol, (E)-2-hexenal, 3-hepten-2-one, and 2-methyl-1-butanol, labelled as D, dramatically decreased once the fresh AMR samples were dried. The amounts of 3-methyl butanal M, 2-hexen-1-ol M, and 2-hexen-1-ol D, labelled as E, were similar in both the fresh and dried AMR samples, so these compounds cannot be significantly damaged by the drying methods used in this study.
The amounts of methional, N-nitroso-morpholine, propyl 1-propenyl disulfide M, 2,3-diethyl-5-methyl pyrazine, propyl hexanoate, 2-acetyl furan and diallyl disulfide, labelled as E, decreased in dried AMR samples and their signal intensity was similar among different drying methods. Ethyl sulfide and ethyl acetate, labelled as E, suffered the most serious damage under FD and suffered less damage under VD and HAD. The amount of 2-methyl-2-pentenal M, labelled as E, was not decreased in FD, but almost vanished in VD and HAD, that is, 2-methyl-2-pentenal M in fresh AMR samples can only be preserved well by FD. This means that 2-methyl-2-pentenal M can be protected well by low temperature and sublimation.
Volatile components labelled as F can appear after drying. Of these, hexyl butanoate formed in HAD; acetoin formed in VD and HAD; 3-methyl-2-pentanone, methyl 3-methyl butanoate, and 3-methyl-1-pentanol formed in VD; and 2-ethyl-1-hexanol formed in FD and VD.

3.3. Compound Identification

After analyzing AMR samples under different drying methods, we tentatively identified a total of 113 typical target signals by comparing the feature retention and drift times with those of the individual standard ion signals. These were confirmed by using the commercial GC-IMS Library Search and are represented by different numbers (1–113). The identified and unidentified compounds are listed in Table 1. The identified compounds include the compound name, CAS number, molecular formula, molecular weight, retention index, retention time, and drift time. The unidentified compounds include the retention index, retention time, and drift time. The tentatively identified volatile compounds in AMR samples included 5 ketones, 9 aldehydes, 12 alcohols, 9 esters, 4 acids, 3 ethers, 5 alkenes, 8 salts, 2 furans, 6 pyrazines, and 10 sulfide compounds.

3.4. Cluster Analysis of the Fresh and Dried AMR Samples

PCA is a multivariate statistical analysis technique established using signal intensity to highlight the differences in volatile compounds. The PCA results of the volatile compounds in the fresh and dried AMR samples are presented in Figure 4. The figure shows the distribution map for the first two principal components determined by PCA, which describe 69% and 18%, respectively, of the accumulative variance contribution rate, and a visualization of the data was obtained. These components were thought to show a similarity between the different AMR samples.
The PCA results clearly show fresh and different dried AMR samples in a relatively independent space and these would be well distinguished in the distribution map. Dried AMR samples can be well distinguished according to the positive score values of PC1, while fresh samples can be well defined according to the negative scores of PC1, and the difference in different parts from different areas can be separated by combining the scores with the score values of PC2.
From Figure 4, one can see that flavors varied greatly between the fresh and dried AMR samples. Moreover, the flavors of FD AMR samples were vastly different from the flavors of VD and HAD AMR samples. The flavors of VD and HAD AMR samples were relatively similar. The results revealed that the characteristic volatile fingerprints of the fresh and dried AMR samples under different drying methods were successfully established through HS-GC–IMS. The HS-GC–IMS data contained valuable information and can be a useful tool for distinguishing AMR samples. Feng et al. [18] also reported that volatile compounds in yak milk powder have significant differences between FD and spray drying.
Figure 5 shows the fingerprint similarity based on Euclidean distance. The Euclidean distance between AMR samples was 38,613–30,496,849. The mean values of FR and FD samples differed by 27,806,152; the mean values of FR and VD samples differed by 24,608,500; and the mean values of FR and HAD samples differed by 21,211,236. When Euclidean distance was larger, the distance between samples was father apart, and the similarity differences in fingerprint spectra became obvious. Thus, compared to VD and HAD, the difference between the FD and fresh AMR samples was more significant. The reason for this is the amount of volatile components that formed after FD, as shown in the C part of Figure 3. Some reactions produced or eliminated volatile components under high-vacuum, low-temperature conditions.

4. Conclusions

In this study, a total of 113 signal peaks from topographic plots were identified in the fresh and dried AMR samples treated by using different drying methods. The drying process changes the amounts of volatile components found in the fresh AMR. Different drying methods significantly affected the volatile components of AMR. A total of 28 new volatile components formed under the operation of FD, VD, and HAD, of which 14 new volatile components can only be formed in FD. Thus, the differences of volatile components between FD samples and fresh samples were much greater than those between fresh samples and VD and HAD samples. That is, FD is unsuitable for attaining dried AMR samples if the maximum amounts of volatile components in dried samples is required. In this study, the volatile component variation under FD, VD, and HAD was discussed in detail, and the basic experimental data were supplied for different requirements based on the choice of volatile components desired.

Author Contributions

L.Z.: investigation, testing and analysis, writing, validation; S.C.: operation of drying experiment and validation; J.L.: validation; G.W.: validation. 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

The date are available from the corresponding author.

Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (Grant No. 52006109).

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Topographic plots of fresh (FR) and dried AMR treated by using different drying methods. (a) Three-dimensional topographic plots. (b) Two-dimensional topographic plots.
Figure 1. Topographic plots of fresh (FR) and dried AMR treated by using different drying methods. (a) Three-dimensional topographic plots. (b) Two-dimensional topographic plots.
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Figure 2. Differential HS-GC-MS (two-dimensional topographic) images of fresh and dried AMR treated by using different drying methods.
Figure 2. Differential HS-GC-MS (two-dimensional topographic) images of fresh and dried AMR treated by using different drying methods.
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Figure 3. Fingerprint plot of volatiles of fresh and dried AMR treated by using different drying methods.
Figure 3. Fingerprint plot of volatiles of fresh and dried AMR treated by using different drying methods.
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Figure 4. PCA analysis plot of the flavor of the fresh and dried AMR samples treated by using different drying methods.
Figure 4. PCA analysis plot of the flavor of the fresh and dried AMR samples treated by using different drying methods.
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Figure 5. Fingerprint similarity based on the Euclidean distance of the fresh and dried AMR samples treated by using different drying methods. (green indicated FD, yellow indicated VD, pink indicated HAD, blue indicated FR).
Figure 5. Fingerprint similarity based on the Euclidean distance of the fresh and dried AMR samples treated by using different drying methods. (green indicated FD, yellow indicated VD, pink indicated HAD, blue indicated FR).
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Table 1. GC-MS integration parameters of the fresh and dried AMR samples.
Table 1. GC-MS integration parameters of the fresh and dried AMR samples.
CountCompoundCASFormulaMWRIRt [s]Dt [a.u.]
12-PropanoneC67641C3H6O58.1536.3108.4461.12414
22-ButanolC78922C4H10O74.1548.5113.5721.15347
3Methyl acetateC79209C3H6O274.1560.8118.7061.19142
41unidentified*0572.6123.671.2584
52-ButanoneC78933C4H8O72.1584.7128.7471.24163
6ButanalC123728C4H8O72.1598.9134.7431.28504
7Ethyl acetateC141786C4H8O288.1607.3138.2481.33671
83-Methyl butanal MC590863C5H10O86.1651.5156.8141.19727
93-Methyl butanal DC590863C5H10O86.1653.7157.7541.39903
101-Penten-3-oneC1629589C5H8O84.1652.1157.0461.31
121-Penten-3-olC616251C5H10O86.1696.1178.411.35294
13Ethyl sulphideC352932C4H10S90.2697.2179.3141.04603
142-Ethyl furanC3208160C6H8O96.1699.5181.2141.30444
151-ButanolC71363C4H10O74.1703.9184.7551.37849
16Ethyl propanoateC105373C5H10O2102.1707.8187.8941.45024
17Isobutyric acidC79312C4H8O288.1719.6197.3491.37582
18AcetoinC513860C4H8O288.1723.5200.5631.32893
192unidentified*0728.8204.8011.29868
203-Methyl-2-butenalC107868C5H8O84.1741.8215.2931.34865
21Dimethyl disulphideC624920C2H6S294.2743.3216.4981.13845
223-Methyl-2-pentanoneC565617C6H12O100.2752.8224.1391.47277
233unidentified*0768.9237.1571.45924
24Methyl 3-methyl butanoateC556241C6H12O2116.2769.5237.6211.53098
25IsopentanolC123513C5H12O88.1770.2238.1971.4841
262-Methyl-1-hepteneC15870107C8H16112.2782.6248.1421.47952
272-Methyl-1-butanolC137326C5H12O88.1792.2258.0851.48073
284unidentified*0792.5258.3841.40941
29HexanalC66251C6H12O100.2793.6259.5961.55782
30Isovaleric acidC503742C5H10O2102.1813280.5611.4854
312-Methyl-2-pentenal MC623369C6H10O98.1826.8295.4331.15696
322-Methyl-2-pentenal DC623369C6H10O98.1825.2293.7131.49264
34(E)-2-HexenalC6728263C6H10O98.1830.7299.6611.18611
355unidentified*0838.9308.4721.04637
36Ethyl trans-2-butenoateC623701C6H10O2114.1838.9308.4721.55657
37(3E)-HexenolC928972C6H12O100.2841.8311.61.24037
383-Methyl-1-pentanolC589355C6H14O102.2845.2315.2531.60253
392-Hexen-1-ol MC2305217C6H12O100.2854.1324.8361.18102
402-Hexen-1-ol DC2305217C6H12O100.2852.3322.941.51239
412-AcetylfuranC1192627C6H6O2110.1853.3324.0551.44499
43Diallyl sulphideC592881C6H10S114.2856.8327.7941.11914
442-Methyl-3-furanthiolC28588741C5H6OS114.2870.4342.4061.13906
45HexanenitrileC628739C6H11N97.2873.3345.591.56901
46n-HexanolC111273C6H14O102.2874.8347.2111.63282
472,3-Dimethyl pyrazine MC5910894C6H8N2108.1893.6368.4541.11623
482,3-Dimethyl pyrazine DC5910894C6H8N2108.1892.1365.8571.47291
49Propyl butyrate MC105668C7H14O2130.2901381.4381.27041
50Propyl butyrate DC105668C7H14O2130.2900.1379.9341.67426
52HeptanalC111717C7H14O114.2902.1383.5231.34098
53(Z)-4-HeptenalC6728310C7H12O112.2910.6398.4361.61085
54MethionalC3268493C4H8OS104.2916.4408.8111.39433
55Amyl acetateC628637C7H14O2130.2917.4410.4321.3096
56Methyl propyl disulphide MC2179604C4H10S2122.2918.7412.8131.10294
57Methyl propyl disulphide DC2179604C4H10S2122.2920.1415.2491.4606
58Pentanoic acidC109524C5H10O2102.1919.1413.4311.22958
60Methyl hexanoateC106707C7H14O2130.2923.8421.7791.67884
612-Methyl propyl butanoateC539902C8H16O2144.2938446.9681.33013
62Dihydro-5-methyl-2(3H)-furanoneC108292C5H8O2100.1938.4447.6561.41902
636unidentified*0938.9448.4471.17791
64Gamma-butyro lactoneC96480C4H6O286.1939448.7421.08198
652,6-Dimethyl pyrazineC108509C6H8N2108.1939.9450.311.13806
663-Hepten-2-oneC1119444C7H12O112.2954.9476.7561.22602
67Dimethyl trisulphideC3658808C2H6S3126.3972.5507.9751.30465
68HeptanolC53535334C7H16O116.2973.2509.0371.38823
696-Methyl-5-hepten-2-oneC110930C8H14O126.2993.3544.7321.17459
70Alpha-terpinene MC99865C10H16136.21000.2557.6351.21973
71Alpha-terpinene DC99865C10H16136.2997.6552.5351.72939
72Hexanoic acidC142621C6H12O2116.2997.8552.9071.29923
73Alpha-phellandreneC99832C10H16136.2998.2553.651.68527
747unidentified*0998.4554.2031.57452
76Octen-3-olC3391864C8H16O128.21006.3569.8321.1572
77Ethyl hexanoate MC123660C8H16O2144.21007571.2641.34206
78Ethyl hexanoate DC123660C8H16O2144.21007.2571.6941.7949
792-Hydroxy-3-methyl-2-cyclopentene-1-one(cyclotene)C80717C6H8O2112.11007571.281.51506
801,8-Cineole MC470826C10H18O154.31016.8590.8531.29735
811,8-Cineole DC470826C10H18O154.31016.5590.41.74455
832,3-Dihydro-4-hydroxy-2,5-dimethyl-3-furanoneC3658773C6H8O3128.11031.7620.691.19636
84Butyl 2-methyl butanoateC15706737C9H18O2158.21036.6630.5931.3765
858unidentified*01042.4642.2271.27137
86Trimethyl pyrazineC14667551C7H10N2122.21043.3643.8861.16751
872-Ethyl-1-hexanolC104767C8H18O130.21049.7656.6941.41491
88Methyl benzoateC93583C8H8O2136.11055.4668.2491.20613
892,3-Dimethyl-5-ethylpyrazineC15707343C8H12N2136.21064.8686.9011.23042
90Ethyl 2-hydroxy-4-methyl pentanoateC10348477C8H16O3160.21080.3717.9641.31203
91Diallyl disulphide C2179579C6H10S2146.31080.4718.2811.63547
92Propyl hexanoateC626777C9H18O2158.21081.1719.6991.3934
93Propyl 1-propenyl disulphide MC5905464C6H12S2148.31098.5754.3481.19864
94Propyl 1-propenyl disulphide DC5905464C6H12S2148.31095.9749.1461.64082
95Ethyl heptanoateC106309C9H18O2158.21097.8753.0491.40951
97Hexyl butanoateC2639636C10H20O2172.31106.5770.4881.48052
98IsopulegolC89792C10H18O154.31129.3816.1531.3872
99N-Nitroso-morpholineC59892C4H8N2O2116.11129.4816.1821.19266
1002,3-Diethyl-5-methyl pyrazineC18138040C9H14N2150.21129.8817.0921.28369
101Propyl disulphideC629196C6H14S2150.31130.6818.61.46879
1029unidentified*01130.7818.9181.5482
103Methyl propyl trisulphide MC17619362C4H10S3154.31154865.4961.1932
104Methyl propyl trisulphide DC17619362C4H10S3154.31155.3868.2071.61442
105Butyl hexanoateC626824C10H20O2172.31207971.6571.46572
106Methyl salicylateC119368C8H8O3152.11208973.5431.20271
10710unidentified*01263.51084.5921.59167
108Meta-CresolC108394C7H8O108.112641085.7141.10663
109Dipropyl trisulphide MC6028611C6H14S3182.41331.91221.6411.28633
110Dipropyl trisulphide DC6028611C6H14S3182.41333.11223.9541.55637
1113-Acetyl-6-methyl-2H-pyran-2,4(3H)-dione MC520456C8H8O4168.11491.91541.691.25381
1123-Acetyl-6-methyl-2H-pyran-2,4(3H)-dione DC520456C8H8O4168.11492.71543.2841.28589
11311unidentified*01539.61637.2921.31797
Notes: MW: molecular mass. RI: retention index. Rt [s]: retention time. Dt [a.u.]: the drift time. symbol* indicated the unidentified compounds.
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Zhang, L.; Cao, S.; Li, J.; Wang, G. Effects of Drying Methods on the Volatile Compounds of Alliummongolicum Regel. Foods 2022, 11, 2080. https://doi.org/10.3390/foods11142080

AMA Style

Zhang L, Cao S, Li J, Wang G. Effects of Drying Methods on the Volatile Compounds of Alliummongolicum Regel. Foods. 2022; 11(14):2080. https://doi.org/10.3390/foods11142080

Chicago/Turabian Style

Zhang, Ledao, Shiying Cao, Junfang Li, and Guoze Wang. 2022. "Effects of Drying Methods on the Volatile Compounds of Alliummongolicum Regel" Foods 11, no. 14: 2080. https://doi.org/10.3390/foods11142080

APA Style

Zhang, L., Cao, S., Li, J., & Wang, G. (2022). Effects of Drying Methods on the Volatile Compounds of Alliummongolicum Regel. Foods, 11(14), 2080. https://doi.org/10.3390/foods11142080

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