Next Article in Journal
LC-MS/MS Determination of 21 Non-Steroidal Anti-Inflammatory Drugs Residues in Animal Milk and Muscles
Previous Article in Journal
Effects of Wine Components in Inflammatory Bowel Diseases
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Analysis of Volatile Compounds in Sea Bass (Lateolabrax japonicus) Resulting from Different Slaughter Methods Using Electronic-Nose (E-Nose) and Gas Chromatography-Ion Mobility Spectrometry

1
Key Lab of Aquatic Product Processing, Ministry of Agriculture and Rural Affairs of the People’s Republic of China, National Research and Development Center for Aquatic Product Processing, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou 510300, China
2
Collaborative Innovation Center of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China
3
College of Food Science and Technology, Guangdong Ocean University, Zhanjiang 524088, China
4
College of Food Science and Engineering, Lingnan Normal University, Zhanjiang 524048, China
5
Zhuhai Qiangjing Food Co., Ltd., Zhuhai 519100, China
*
Authors to whom correspondence should be addressed.
Both authors contributed equally to this work.
Molecules 2021, 26(19), 5889; https://doi.org/10.3390/molecules26195889
Submission received: 29 August 2021 / Revised: 19 September 2021 / Accepted: 23 September 2021 / Published: 28 September 2021

Abstract

:
Sea bass (Lateolabrax japonicus) is known for its unique flavor and high nutritional value. In this study, the influence of slaughter methods on the volatile compounds (VOCs) in sea bass was investigated using electronic nose (E-nose) technology and gas chromatography-ion mobility spectrometry (GC-IMS). VOCs in raw and cooked sea bass resulting from different slaughter methods were effectively distinguished using both techniques. Aldehydes, ketones, and alcohols were associated with the basic flavor of sea bass, whereas esters, organic acids, and furans enriched the aroma. In raw sea bass, the fishy odor was the strongest in the HSD group (head shot control death), followed by that in the IFD (ice faint to death) and BDS (bloodletting to death) groups. The VOC content increased and stabilized after steaming, enhancing pleasant odors such as fatty and fruity aromas. In cooked sea bass, the content of diacetyl and ethanol was the highest in the EAD group (eugenol anesthesia to death), which may be a residue of eugenol, imparting a distinct irritating chemical odor. Furthermore, abundant (E)-2-octenal, 2-heptanone, benzaldehyde, and esters in the BDS group imparted a strong, pleasant aroma. The findings indicate that heart puncture and bloodletting is the preferred slaughter method to maintain sea bass quality, providing new insights into the volatile changes in sea bass induced by different slaughter methods.

Graphical Abstract

1. Introduction

Sea bass (Lateolabrax japonicus) is a marine species of high commercial value. It inhabits tropical and subtropical regions and is mainly distributed in the Mediterranean Sea, Atlantic Ocean, and near-shore waters of the Bohai Sea, Yellow Sea, and other areas around China [1]. With continuous improvements in living standards, consumers’ demand for healthy diet is increasing. Sea bass has become popular owing to its tender muscle, unique flavor, and high nutrient content, including proteins, vitamins, minerals, and omega-3 fatty acids, such as eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA).
Flavor is one of the main factors that attracts consumers to certain foods [2]. Volatile compounds (VOCs) in fish are generated from enzymatic reactions, lipid oxidation, and microbial metabolism, and they interact to form the overall flavor [3]. The latter is affected by a complex network of factors, including fish development stage, breeding environment, pre-slaughter fasting, slaughter method, and transportation conditions. The slaughter method is an essential and indispensable factor in meat processing. Improper slaughter induces a strong stress response in the fish, which causes changes in metabolism, blood composition, osmoregulation, and enzyme activity, leading to undesired results (e.g., early rigor mortis, high water loss, severe protein denaturation, and lipid oxidation) that severely affect both quality and flavor [4,5,6]. Secci et al. [7] studied the changes in fatty acid concentrations in farmed rainbow trout due to different slaughter methods. They found a tendency towards decreased free EPA, arachidonic acid (AA), and DHA concentrations in the asphyxiated group, compared with those in the percussion-slaughtered group. Zhang et al. [8] evaluated the effect of the slaughter method on silver carp at 72 h post-mortem and reported a higher level of protein oxidation in the gill cut and stunning groups than in the ice immersion group. However, to date, limited studies have evaluated the effect of the slaughter method on volatile compounds.
Currently, volatile flavors are explored using electronic nose (E-nose) technology, gas chromatography-mass spectrometry (GC-MS), and gas chromatography-ion mobility spectrometry (GC-IMS). A gas-sensitive sensor array derived from E-nose was developed to mimic a mammalian nose, but it can only discriminate overall flavors and cannot specifically describe the dynamics of overall VOCS [9,10]. Currently, GC-MS is the most commonly used instrument for analyzing volatile compounds in the food science field. GC-IMS, a detection technique for analyzing volatile compounds in samples, has emerged in recent years. It is a complementary method used to analyze food VOCs by combining the separation of gas chromatography with the quantitative and rapid advantages of ion mobility spectrometry, which has the advantages of rapid detection and easy operation [11]. GC-IMS combined with E-nose technology enables intuitive comparisons among samples based on establishing a fingerprint and radar chart of VOCs. In the present study, we aimed to use a combination of E-nose and GC-IMS technology to establish volatile profiles and monitor VOC dynamic in sea bass caused by different slaughter methods. This study is expected to provide strategies for monitoring the quality of sea bass.

2. Results

2.1. E-Nose Analysis

The P30/2, T40/2, P30/1, PA/2, T70/2, P40/1, P10/2, P10/1, and T30/1 sensors displayed stronger responses to VOCs in sea bass samples than the other sensors, suggesting that the E-nose effectively distinguished sea bass samples in the different treatment groups (Figure 1a,b). Among them, the distinguishing effect was the strongest for the P30/2, P30/1, PA/2, P10/1, and T30/1 sensors. The P30/2 sensor (sensitive to alcohol, combustion products, aldehydes, and hydrogen sulfide) displayed strong responses, indicating increased alcohol and hydrocarbon content. Taken together, the sensors displayed stronger responses for the raw groups than the cooked groups. The principal component analysis (PCA) plots further confirmed the results displayed in the radar graphs. The PCA plot of VOCs in the raw groups is shown in Figure 1c. PC1 and PC2 comprised 99.7% and 0.2% of the PCA distribution area, respectively, explaining 99.9% of the total variation and indicating that PC1 and PC2 sufficiently represented most of the data. The EADR group was clearly separated from the other groups, whereas the BDSR group was differentiated from the HSDR and IFDR groups. The PCA plot of VOCs in the cooked groups is shown in Figure 1d. PC1 and PC2 comprised 98.5% and 1.1% of the PCA distribution area, respectively, with a cumulative variance contribution rate of 99.6%, indicating that PC1 and PC2 represented most of the original data. The EADC group was clearly separated from the other three cooked groups and was farthest from the HSDC group, indicating that some compounds were altered during cooking.

2.2. Sensory Evaluation

The sensory evaluation results are shown in Table 1. There was an obvious difference among the different slaughter samples, suggesting that the slaughter methods had an effect on the flavor. The EAD group had the lowest flavor score and the lowest comprehensive scores due to residual eugenol. The HSD and IFD groups had a strong fishy odor, whereas the BDS group had a strong, pleasant aroma. Therefore, the BDS group had the highest flavor score. Regarding texture, the BDS group was more tender and elastic than the other groups. The BDS group had a weak pre-slaughter stress response, exhibited low muscle glycogen consumption, and presented a high lactic acid content, resulting in a strong enzyme activity required for the meat ripening process. As a result, protein degradation was greater, and the meat was more tender in the BDS group. The IFD group exhibited less tender and less elastic meat as a result of the contraction and shortening of myofibrils at low temperatures. Therefore, the sensory score of the IFD texture was low. The HSD and EAD groups presented increased ATP consumption, leading to necropsy due to acute stress, thereby resulting in poor tenderness and poor elasticity. It can be preliminarily considered that heart puncture and bloodletting is more suitable for sea bass.

2.3. Analysis of GC-IMS Compositional Spectra and Profile Differences

Figure 2 shows the compositional spectra of VOCs in sea bass samples in the different treatment groups. The ordinate and abscissa represent the retention time and migration of the gas phase, respectively, and each reactive ion peak corresponds with a volatile substance. Generally, the red color and larger spot areas in the spectra indicate higher VOC content, whereas lighter colors and smaller areas indicate lower VOC content. A comparison of the GC-IMS profiles of the eight treatment groups revealed an increase in VOC type and content in cooked samples. The VOC content significantly differed between the raw and cooked groups. Some VOCs with large differences were considered fingerprint characteristic reference points to distinguish the slaughter methods.
To compare the differences in VOCs among the treatment groups, the BDSR group was used as a reference (Figure 3). The blue areas indicate a lower VOC content in the BDSR group than in the reference sample, whereas the red areas indicate a higher VOC content. Darker colors indicate a greater difference from the reference. More red spots were observed in the retention time range of 100–500 s for the EADR group than for the BDSR group, but there were fewer red and blue spots in the HSDR and IFDR groups, which was consistent with the results of the PCA analysis. The VOC content in the cooked groups was generally higher than that in the reference BDSR group. However, some VOC signals in the EADC group were weak or had disappeared, compared with those in the other cooked groups.

2.4. Identification of VOCs

Qualitative analysis of VOCs in sea bass samples was performed using the NIST and IMS databases provided with GC-IMS software. As shown in Figure 4 and Table 2, 31 VOCs were identified in raw sea bass, including seven aldehydes, four alcohols, one hydrocarbon, six ketones, three esters, two acids, one furan, one sulfur-containing compound, and six unidentified compounds.
Changes in the VOC levels among the treatment groups were visualized in the fingerprints represented as a heatmap (Figure 5), where each row represents a VOC in the sample and each column represents the VOC signal in the same sample. The VOC type and content varied across the raw groups, depending on the slaughter method. The EADR group had the highest VOC content among the raw groups. Five VOCs, namely acetone, ethanol, 3-hydroxybutan-2-one, ethyl acetate, and 2,3-butanedione, were significantly more abundant in the EADR group than in the other raw groups, but the hexanal content was significantly lower in the EADR group. Ethanol and 2,3-butanedione were not detected in the HSDR, IFDR, and BDSR groups. The BDSR group had higher hexanoic acid, 2-pentylfuran, methyl-5-hepten-2-one, and 2-methylbutanoic acid levels than the other raw groups, whereas 3-hydroxybutan-2-one was not detected. The HSDR group had higher benzaldehyde, pentan-1-ol, 2-butanone, 1-octen-3-ol, pentanal, and isoamyl acetate levels than the other raw groups. The 2-methylbutanal, 3-methylbutanal, and 1-propanol were higher in the HSDR and IFDR groups than in the other raw groups. Furthermore, there were significant differences in the monomer and dimer content of the same compound. The 2-pentanone monomer and dimer levels were higher and lower in the EADR group, respectively, than in the HSDR group.
The diversity of VOCs in sea bass samples significantly increased with steaming, as shown in Figure 5. In cooked seabass, 39 VOCs were detected, including 9 aldehydes, six alcohols, one hydrocarbon, six ketones, three esters, two acids, one furan, one sulfur-containing compound, and 10 unidentified compounds. Two aldehydes [(E)-2-octenal and (E)-2-pentenal] and two alcohols [(E)-2-hexen-1-ol and n-hexanol] were identified after steaming; they were not detected in raw sea bass. The composition of ketones (2-heptanone appeared, 3-hydroxybutan-2-one degraded), esters (butyl propanoate appeared, isoamyl acetate degraded), and acids (butanoic acid appeared, 2-methylbutanoic acid degraded) changed, but their relative quantities remained unchanged. In contrast to their levels in the raw groups, the hexanal, ethyl formate, ethyl acetate, benzaldehyde, butyl propionate, 2-butanone, acetone, hexanoic acid, benzaldehyde, 1-propanol, 2-pentylfuran, and methyl-5-hepten-2-one levels were elevated in all cooked groups. The dimethyl disulfide level detected in the EADR and BDSR groups decreased after steaming. The 2-pentanone monomer content was higher in the raw groups than in the cooked groups, and its dimer content increased after steaming. Some compounds, namely heptanal, nonanal, pentanal, octane, (E)-2-hexen-1-ol, and pentan-1-ol, were present only as monomers in the raw groups but were identified as high-content dimers and monomers after steaming.

2.5. Effects of Slaughter Method on the Changes in VOCs in Raw and Cooked Sea Bass

The differences in volatile compounds between the raw and cooked groups are shown in Figure 6. Aldehydes can affect the overall flavor of foods owing to their lower thresholds and relatively higher abundance [12]. Hexanal contributes to fresh grass-like and fishy odors and is considered an oxidation product of linoleic acid and AA [13]. Nonanal and heptanal, as secondary oxidation products of oleic acid, also impart a fishy odor [14]. Here, the levels of hexanal, nonanal, and heptanal were generally high in the raw groups, with the highest content in the HSDR group, followed by the IFDR and BDSR groups. The HSDR group had the strongest fishy odor, likely because HSD generated a larger stress response in the fish, resulting in increased lipid oxidase activity, enhanced lipolytic activity, increased formation of lipid peroxidation metabolites, and eventually elevated levels of aldehydes. This result corroborated that of Resconi et al. in beef [15].
Thermal processing promotes the release of VOCs [16]. A comparison of VOCs in the raw and cooked groups, obtained using the same slaughter method, IFD, induced the highest increase in the nonanal and heptanal levels, whereas HSD induced the greatest increase in the hexanal levels. However, the mechanism underlying this phenomenon remains unclear. These findings suggest that a stronger fishy odor was present in the IFDC and HSDC groups than in their raw counterparts. The quantities of VOCs, such as nonanal, hexanal, and heptanal, in the EADC group were significantly lower than those in the other cooked groups, which was consistent with the findings of a previous study, which reported that eugenol inhibited the production of VOCs during the refrigeration of grass carp [17]. 2-Methylbutanal and 3-methylbutanal are Strecker aldehydes, derived from the catabolism of branched-chain amino acids, which contribute to malt, caramel, and chocolate flavors [18,19]. Except in the EAD group, the 2-methylbutyraldehyde content was higher in the raw groups than in the cooked groups using the same slaughter method, indicating that the compound was degraded upon steaming. In addition to saturated aldehydes, unsaturated aldehydes were also detected. Benzaldehyde is generated from the oxidation of linoleic acid and imparts nutty, bitter almond, and cherry flavors. Benzaldehyde and other volatile compounds are present in 75% of VOCs in grass carp [20]. The benzaldehyde content increased in all cooked groups, as steaming promoted lipid oxidation and phenylethyl aldehyde oxidation [21,22]. Notably, the differences in volatile compounds among the cooked groups were related to the differences in lipid-derived compounds in the raw groups. The benzaldehyde content was the highest in the BDS group, in both raw and cooked samples. (E)-2-Pentenal and (E)-2-octenal were produced after steaming. (E)-2-octenal imparts a broth flavor and its content was in the following order: IFDC > HSDC > BDSC > EADC. The aldehyde content was the highest in the IFD group, followed by the HDS group. A large amount of blood was obtained in the IFD and HSD groups without bloodletting treatment. A good correlation has been found between hemoglobin content and lipid oxidation. Hemoglobin dilution occurs when hemoglobin leaks out of the red blood cells. Hemoglobin dilution promotes the formation of hemoglobin subunits, which accelerates hemoglobin autoxidation and heme release. Thus, hydroxyl radicals generated from the reaction of pro-oxidants (hemoglobin and heme) with hydrogen peroxide accelerated lipid oxidation [23].
Ketones are products of fatty acid oxidation. Ketones with low thresholds enhance or modify fishy odors by interacting with aldehydes or other compounds [24]. The ketone content in the raw groups was in the following order: EAD > HSD > IFD > BDS, indicating that BDS better maintained mild and pleasant flavors than the other slaughter methods. 2,3-Butanedione accounted for 19.8% of ketones in the EADR group, whereas it was not detected in the other raw groups. Therefore, 2,3-butanedione was presumed to have originated from the anesthetic. The enzymes in fish blood promoted the reaction between lipid and/or protein in the muscle of the HSDR and IFDR groups, which in turn increased the ketone content and enhanced the fishy odor. Steaming further affected the differences in lipid-derived metabolites. The levels of concentration of 2-pentanone, propanol, and 2-butanone was higher in the cooked groups than in the raw groups; however, the levels of 2-pentanone showed a reverse trend in the EAD group. 2-Heptanone imparts a gravy-like aroma and is generated by lipid oxidation [25]. The 2-heptanone content was generally the highest in the BDSC group, followed by the HSDC and IFDC groups. The VOC levels in the raw groups could also explain the differences observed in the cooked groups. The 2,3-butanedione content was reduced slightly after steaming; however, it was present in excessively high amounts in the EADR and EADC groups, resulting in strong creamy, buttery, and caramel flavors [26].
Alcohols are derived from the degradation of secondary hydroperoxides of fatty acids, or the reduction in carbonyl compounds [27]. 1-Octen-3-ol, the dominant alcohol imparting mushroom-like and earthy odors, enhanced the fishy taste of aldehydes. Generally, 1-octen-3-ol is generated by the degradation of linoleic acid and AA. A higher 1-octen-3-ol content was observed in the HSDR and BDSR groups, and the lowest content was observed in the EADR group. Grigorakis et al. reported that the AA level in wild gilthead sea bream was significantly higher than that in cultured gilthead sea bream, showing a positive correlation with 1-octen-3-ol content [28,29]. This observation suggests that the degradation of AA was higher in the HSDR and BDSR groups than in the IFDR and EADR groups. Steaming amplified the differences in VOCs induced by different slaughter methods. The lowest 1-octen-3-ol content was present in the EADC group, equivalent to one-third of that in the IFDC group; thus, the earthy odor was stronger in the IFDC group. Saturated alcohols, such as hexanol, 1-pentanol, and 1-propanol are mostly detected in steamed crustaceans and fish [30]. Hexanol was the most abundant in the IFDC group after steaming and contributed to sweet and fruity aromas. 1-Pentanol, a product of linoleic acid oxidation, contributed an herbaceous aroma, which was further intensified after steaming [31,32]. (E)-2-Hexenol, another product generated after steaming, imparted a fruity aroma. Both 1-pentanol and (E)-2-hexenol levels were the highest in the IFDC group, followed by those in the BDSC group. However, the threshold value of unsaturated alcohols was lower than that of saturated alcohols; hence, (E)-2-hexenol contributed more to the flavor of sea bass [33].
The anesthetic used in the study contained a large amount of ethanol. High concentrations of 2,3-butanedione and ethanol contributed to strong and unpleasant odors in the EAD group (strong floral, vanilla, and woody flavors). In addition to that observed in the EADR group, the alcohol content increased in the three raw groups as the stress level of the fish increased. Stronger stress levels at slaughter lead to more extensive glycogen degradation and higher alcohol content in sea bass [34]. The alcohol content in the raw groups decreased as follows: HSD > IFD > BDS. As the BDSR group was not subjected to severe stimulation during slaughter, this group retained a pleasant aroma. The highest alcohol content was observed in the HSDR and IFDC groups, which may be attributed to the absence of bloodletting with the IFD and HSD methods. Before cooking, the low lipid oxygenase activity in the IFD group generated less alcohol, owing to low temperature slaughter, whereas more alcohol was generated by thermal oxidative decomposition of lipids upon steaming.
Esters containing short-chain fatty acids impart a sweet and fruity aroma, whereas those containing long-chain fatty acids impart fatty odors [35]. Esters containing short-chain fatty acids, such as isoamyl acetate, butyl propionate, ethyl formate, and ethyl acetate, were detected in sea bass. The ester content was low in the raw groups, in the following order: EAD > BDS > HSD > IFD. The increase in ester content upon steaming was different from that described by Lorenzo et al. in pony meat, which indicated that significant differences exist in the VOC composition in different kinds of meat [36]. Esters are derived from the esterification of alcohols and carboxylic acid compounds, and the ester content in the cooked groups was in the following order: BDS > EAD > IFD > HSD. The highest ester content was observed in the EADR and BDSC groups. However, the mechanism of this change requires further investigation. Low levels of other VOCs, including dimethyl disulfide, 2-pentylfuran, and octane, differed among the four raw groups and had little effect. As 2-pentylfuran originates from caramelization reactions and thermal degradation of carbohydrates, its content increased significantly after steaming. The 2-pentylfuran content was the highest in the IFDC group, followed by that in the BDSC group. 2-Pentylfuran imparts a green bean-like aroma and contributes to the overall flavor of steamed mussels [37,38]. Octane, derived from the homolysis of fatty acid alkyl radicals, imparts a sweet flavor. The octane content increased several times after steaming. Its highest content was detected in the BDSC group, which enhanced the overall flavor despite the higher threshold value. The results demonstrate that the slaughter method significantly influences both VOC content and type in sea bass, likely due to its effects on the levels of flavor precursors in muscle, such as fatty acids, free amino acids, and sugars. Therefore, the effect of slaughter methods on flavor precursors remains to be evaluated in future studies.

3. Materials and Methods

3.1. Animals and Ethics Approval

All methods used in this study complied with the Chinese National Guidelines for the use and care of laboratory animals. The animal experiment protocol was approved by the Academic Council of the South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences.

3.2. Materials

Live sea bass (body length: 25 ± 2.0 cm; weight: 500 ± 10.0 g) were purchased from Vanguard Supermarket (Guangzhou, Guangdong, China). They were transported in large tanks (1.2 m × 1.2 m × 0.8 m). During transport, the stagnant water was saturated using an oxygen diffuser connected by a rubber tube to a liquid oxygen tank and transported to the laboratory within 1 h. Eugenol solution was prepared as follows: eugenol and absolute ethanol were mixed (1:9 v/v), and the emulsion was subsequently diluted to 40 mg/L with water. Twelve sea bass were slaughtered using each method: ice faint to death (IFD), head shot control stun death (HSD), eugenol anesthesia to death (EAD), and bloodletting to death (BDS). For IFD, each fish was immersed in a box containing ice and kept in it until the observation of the apparent stunning, at approximately 20 min. For HSD, the fish were hit on the head several times with the back of a knife. Until the occurrence of apparent stunning, the back flesh was collected. For EAD, the fish were immersed in the eugenol solution until anesthesia, which was characterized by the absence of swimming and consciousness. For BDS, the heart of the fish was pierced, leaving a hole for blood drainage.
After slaughtering 12 sea bass in each group in the same way, the back meat of each sea bass was collected and cut into small fish fillets. The back meat of six sea bass was steamed in boiling water for 30 s and used as cooked sample group (C). The cooked samples were minced using a grinding machine (IKA-T25; Germany IKA Co., Ltd., Guangzhou, China), and 30 g of each sample was used for the electronic nose and GC-IMS assay. The remaining samples were used as the raw meat (raw meat group (R)) and was also grinded, weighed, and tested. There were eight groups: HSDR, HSDC, IFDR, IFDC, BDSR, BDSC, EADR, and EADC. All the experiments were performed in triplicate, except for the electronic nose test, which was repeated four times.

3.3. E-Nose Analysis

The dynamic headspace method for VOC analysis was adapted from Wang et al. [39], with slight modifications. We determined the overall odor profiles and performed a qualitative analysis using a Fox 4000 electronic nose (Alpha MOS, Toulouse, France) with 18 sensors (Table 3) [40]. Each sample (1 g) was placed in a bottle with 15 mL headspace and heated at 75 °C for 600 s. The temperature of the injector was 60 °C, and the injection time was 1 s. The injection volume was 250 μL, and clean dry air was used as the injection carrier gas at a flow rate of 150 mL/min. The data acquisition time was 120 s. To remove any remaining sample odor, the device was cleaned with clean dry air for 10 min after each sample. All analyses were performed using four biological replicates.

3.4. Sensory Evaluation

The sensory evaluation panelists consisted of a group of experts who have been engaged in the research of sea bass production and processing for a long time, including four males and four females. All samples were numbered with a random three-digit method and presented in random order. The odor and texture of sea bass were evaluated by nine-point scale scoring as shown in Table 4. During the assessment, water was provided to assessors to avoid fatigue and residual effects. All samples were subjected to sensory evaluation in the same laboratory.

3.5. GC-IMS Analysis

Volatile compounds present in the samples were identified and quantified using a GC-IMS flavor analyzer (FlavourSpec®, Dortmund, Germany), equipped with a syringe and autosampler unit for headspace analysis. Samples (4 g) were placed in a bottle with 20 mL headspace and incubated at 60 °C for 15 min. The injection volume was 500 μL, which was automatically injected into the injector using a heated syringe (85 °C). The sample was then transferred onto an MXT-5 capillary column (15 m × 0.53 mm × 1 μm; Agilent Technologies, Santa Clara, CA, USA) using nitrogen (99.99%) and subjected to the following programmed flow: 2 mL/min, then 2 mL/min for 2 min, followed by 100 mL/min for 18 min. The column was maintained at 60 °C with a drift tube temperature of 45 °C. The drift gas flow was set to a constant flow rate of 150 mL/min. All analyses were performed in triplicate. The final results represent the average of three replicates.

3.6. Data Processing

All the experiments were performed in triplicate, except for the electronic nose test, which was repeated four times. All statistical analyses were performed using SPSS version 19.0 (IBM, Armonk, NY, USA). Between-group differences were formally compared using the one-way analysis of variance. All values are presented as mean ± standard deviation/standard error of the mean, and differences were considered statistically significant at p < 0.05. Data acquired from E-nose were visualized and analyzed using Alphasoft V14 software (Alphamos, Tolouse, France). The volatile “fingerprint” map of sea bass samples in the different groups was analyzed using the Laboratory Analysis Viewer, two plug-ins and GC-IMS Library Search software, provided by GC-IMS instruments (GAS, Dortmund, Germany). Reporter plug-in compared spectral differences between samples directly (2D top view and difference spectra); Gallery Plot plug-in visually and quantitatively compared the differences in VOCs between samples.
The volatile compounds “fingerprint” map of sea bass samples in the different groups was analyzed using the Laboratory Analysis Viewer and the plug-in GC-IMS Library Search software provided by GC-IMS instruments (GAS, Dortmund, Germany).

4. Conclusions

The VOCs of raw and cooked sea bass obtained using different slaughter methods were effectively distinguished and identified using the E-nose technology and GC-IMS. The results demonstrated significantly different VOC profiles for samples prepared with eight different treatments. Aldehydes, ketones, and alcohols were associated with the basic flavor of sea bass, whereas esters, organic acids, and furans enriched the volatile compounds. The slaughter method exerted a strong influence on the volatile profile, and the VOC composition differed before and after cooking. Overall, raw fish had a soft, pleasant, and fruity aroma, accompanied by a fishy odor. Particularly, the fishy odor in the HSDR group was the strongest, followed by that in the IFDR and BDSR groups. The VOC concentration increased and stabilized after steaming, enhancing pleasant odors. The concentration of diacetyl and ethanol was the highest in the EAD group (eugenol anesthesia to death), which may be a residue of eugenol, thus causing a distinct irritating chemical odor, whereas (E)-2-octenal, 2-heptanone, benzaldehyde, and esters were abundant in the BDSC group, imparting a strong, pleasant aroma. Our findings suggest that heart puncture and bloodletting is the most suitable slaughter method for sea bass to maintain high quality. This study provides new insights into the volatile changes in sea bass induced by different slaughter methods and provides a theoretical foundation for exploring the optimal slaughter method.

Author Contributions

Conceptualization Y.W. (Yueqi Wang); writing—original draft preparation, Y.W. (Yueqi Wang) and J.L.; Review & editing, Y.W. (Yanyan Wu) and S.Y.; Data curation, D.W.; Visualization, Q.L. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the China Agriculture Research System of MOF and MARA (CARS-47), the National Natural Science Foundation of China (32001733), the Guangdong Basic and Applied Basic Research Foundation (2021A1515010833), the Special Scientific Research Funds for Central Non-profit Institutes, the Chinese Academy of Fishery Sciences (2020TD69 and 2020TD73), and the public service platform of biomedical resources research and development of south China sea (2017C8B2).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board (or Ethics Committee) of Committee on Laboratory Animal Welfare and Ethics of South China Sea Fisheries Research Institute, CAFS.

Data Availability Statement

The data presented in this study are contained within the article.

Acknowledgments

The authors would like to thank laboratory colleagues for their advice and support.

Conflicts of Interest

The authors declare no conflict of interest.

Sample Availability

Samples of the compounds are available from the authors.

References

  1. Ayala, M.; Albors, O.L.; Blanco, A.; Alcázar, A.G.; Abellán, E.; Zarzosa, G.R.; Gil, F. Structural and ultrastructural changes on muscle tissue of sea bass, Dicentrarchus labrax L., after cooking and freezing. Aquaculture 2005, 250, 215–231. [Google Scholar] [CrossRef]
  2. Sampels, S. The effects of processing technologies and preparation on the final quality of fish products. Trends Food Sci. Technol. 2015, 44, 131–146. [Google Scholar] [CrossRef]
  3. Iglesias, J.; Medina, I.; Bianchi, F.; Careri, M.; Mangia, A.; Musci, M. Study of the volatile compounds useful for the characterisation of fresh and frozen-thawed cultured gilthead sea bream fish by solid-phase microextraction gas chromatography–mass spectrometry. Food Chem. 2009, 115, 1473–1478. [Google Scholar] [CrossRef]
  4. Poli, B.M.; Parisi, G.; Scappini, F.; Zampacavallo, G. Fish welfare and quality as affected by pre-slaughter and slaughter management. Aquac. Int. 2005, 13, 29–49. [Google Scholar] [CrossRef]
  5. Zhang, L.; Li, Q.; Jia, S.; Huang, Z.; Luo, Y. Effect of different stunning methods on antioxidant status, in vivo myofibrillar protein oxidation, and the susceptibility to oxidation of silver carp (Hypophthalmichthys molitrix) fillets during 72 h postmortem. Food Chem. 2018, 246, 121–128. [Google Scholar] [CrossRef]
  6. Acerete, L.; Reig, L.; Alvarez, D.; Flos, R.; Tort, L. Comparison of two stunning/slaughtering methods on stress response and quality indicators of European sea bass (Dicentrarchus labrax). Aquaculture 2009, 287, 139–144. [Google Scholar] [CrossRef]
  7. Secci, G.; Parisi, G.; Dasilva, G.; Medina, I. Stress during slaughter increases lipid metabolites and decreases oxidative stability of farmed rainbow trout (Oncorhynchus mykiss) during frozen storage. Food Chem. 2016, 190, 5–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  8. Zhang, L.; Li, Q.; Lyu, J.; Kong, C.; Song, S.; Luo, Y. The impact of stunning methods on stress conditions and quality of silver carp (Hypophthalmichthys molitrix) fillets stored at 4 °C during 72 h postmortem. Food Chem. 2017, 216, 130–137. [Google Scholar] [CrossRef] [PubMed]
  9. Loulier, J.; Lefort, F.; Stocki, M.; Asztemborska, M.; Szmigielski, R.; Siwek, K.; Grzywacz, T.; Hsiang, T.; Ślusarski, S.; Oszako, T.; et al. Detection of Fungi and Oomycetes by Volatiles Using E-Nose and SPME-GC/MS Platforms. Molecules 2020, 25, 5749. [Google Scholar] [CrossRef]
  10. Wang, Y.; Li, C.; Zhao, Y.; Li, L.; Yang, X.; Wu, Y.; Chen, S.; Cen, J.; Yang, S.; Yang, D. Novel insight into the formation mechanism of volatile flavor in Chinese fish sauce (Yu-lu) based on molecular sensory and metagenomics analyses. Food Chem. 2020, 323, 126839. [Google Scholar] [CrossRef] [PubMed]
  11. Shvartsburg, A.A. Encyclopedia of Spectroscopy & Spectrometry, 3rd ed.; American Academic Press: Salt Lake City, UT, USA, 2010; pp. 1140–1148. [Google Scholar]
  12. Yang, Y.; Zhang, X.; Wang, Y.; Pan, D.; Sun, Y.; Cao, J. Study on the volatile compounds generated from lipid oxidation of Chinese bacon (unsmoked) during processing. Eur. J. Lipid Sci. Technol. 2017, 119, 1600512–1600522. [Google Scholar] [CrossRef]
  13. Josephson, D.B.; Lindsay, R.C.; Stuiber, D.A. Enzymic Hydroperoxide Initiated Effects in Fresh Fish. J. Food Sci. 1987, 52, 596–600. [Google Scholar] [CrossRef]
  14. Saldaña, E.; Saldarriaga, L.; Cabrera, J.; Behrens, J.H.; Selani, M.M.; Rios-Mera, J.; Contreras-Castillo, C.J. Descriptive and hedonic sensory perception of Brazilian consumers for smoked bacon. Meat Sci. 2019, 147, 60–69. [Google Scholar] [CrossRef]
  15. Resconi, V.C.; Bueno, M.; Escudero, A.; Magalhaes, D.; Ferreira, V.; Campo, M.M. Ageing and retail display time in raw beef odour according to the degree of lipid oxidation. Food Chem. 2018, 242, 288–300. [Google Scholar] [CrossRef] [Green Version]
  16. Gu, S.; Chen, W.; Wang, Z.; Wang, J.; Huo, Y. Rapid detection of Aspergillus spp. infection levels on milled rice by headspace-gas chromatography ion-mobility spectrometry (HS-GC-IMS) and E-nose. LWT 2020, 132, 109758. [Google Scholar] [CrossRef]
  17. Yu, D.; Xu, Y.; Regenstein, J.M.; Xia, W.; Yang, F.; Jiang, Q.; Wang, B. The effects of edible chitosan-based coatings on flavor quality of raw grass carp (Ctenopharyngodon idellus) fillets during refrigerated storage. Food Chem. 2018, 242, 412–420. [Google Scholar] [CrossRef]
  18. Lu, F.; Nielsen, N.; Baron, C.; Diehl, B.; Jacobsen, C. Impact of primary amine group from aminophospholipids and amino acids on marine phospholipids stability: Non-enzymatic browning and lipid oxidation. Food Chem. 2013, 141, 879–888. [Google Scholar] [CrossRef]
  19. Insausti, K.; Murillo-Arbizu, M.; Urrutia, O.; Mendizabal, J.; Beriain, M.; Colle, M.; Bass, P.; Arana, A. Volatile Compounds, Odour and Flavour Attributes of Lamb Meat from the Navarra Breed as Affected by Ageing. Foods 2021, 10, 493. [Google Scholar] [CrossRef]
  20. Shi, W.-Z.; Wang, X.-C.; Tao, N.-P.; Liu, Y.; Xu, Q. Effect of slaughter methods on the volatile composition of cultured grass carp. J. Fish. China 2011, 35, 456–465. [Google Scholar]
  21. Guillén, M.D.; Carton, I.; Salmerón, J.; Casas, C. Headspace composition of cod liver oil and its evolution in storage after opening. First evidence of the presence of toxic aldehydes. Food Chem. 2009, 114, 1291–1300. [Google Scholar] [CrossRef]
  22. Chu, F.L.; Yaylayan, V.A. Model Studies on the Oxygen-Induced Formation of Benzaldehyde from Phenylacetaldehyde Using Pyrolysis GC-MS and FTIR. J. Agric. Food Chem. 2008, 56, 10697–10704. [Google Scholar] [CrossRef] [PubMed]
  23. Richards, M.P.; Hultin, H.O. Contributions of Blood and Blood Components to Lipid Oxidation in Fish Muscle. J. Agric. Food Chem. 2002, 50, 555–564. [Google Scholar] [CrossRef] [PubMed]
  24. Yang, L.; Li, L.; Song, G.; Feng, J.; Zhang, Y.; Shen, Q. Development of a laser irradiation based headspace solid-phase microextraction method for high-throughput guiding the production of Maillard reaction products of tuna hydrolysate. LWT 2019, 107, 291–298. [Google Scholar] [CrossRef]
  25. Gardner, K.; Legako, J.F. Volatile flavor compounds vary by beef product type and degree of doneness1. J. Anim. Sci. 2018, 96, 4238–4250. [Google Scholar] [CrossRef] [Green Version]
  26. Hallier, A.; Prost, C.; Sérot, T. Influence of Rearing Conditions on the Volatile Compounds of Cooked Fillets of Silurus glanis(European Catfish). J. Agric. Food Chem. 2005, 53, 7204–7211. [Google Scholar] [CrossRef]
  27. Paleari, M.A.; Moretti, V.M.; Beretta, G.; Caprino, F. Chemical parameters, fatty acids and volatile compounds of salted and ripened goat thigh. Small Rumin. Res. 2008, 74, 140–148. [Google Scholar] [CrossRef]
  28. Grigorakis, K.; Alexis, M.N.; Taylor, K.D.A.; Hole, M. Comparison of wild and cultured gilthead sea bream (Sparus aurata); composition, appearance and seasonal variations. Int. J. Food Sci. Technol. 2002, 37, 477–484. [Google Scholar] [CrossRef]
  29. Grigorakis, K.; Taylor, K.; Alexis, M. Organoleptic and volatile aroma compounds comparison of wild and cultured gilthead sea bream (Sparus aurata): Sensory differences and possible chemical basis. Aquaculture 2003, 225, 109–119. [Google Scholar] [CrossRef]
  30. Cao, J.; Zhang, F.P.; Yang, X.Y.; Du, X.L.; Liu, Y.M.; Wang, X.C. Determination of volatile flavor components of Leiocassis longirostris muscle by head space solid phase micro-extraction and gas chromatography-mass spectrometry. LWT 2015, 41, 160–165. [Google Scholar]
  31. Kunyaboon, S.; Thumanu, K.; Park, J.W.; Khongla, C.; Yongsawatdigul, J. Evaluation of lipid oxidation, volatile compounds and vibrational spectroscopy of silver carp (Hypophthalmichthys molitrix) during ice storage as related to the quality of its washed mince. Foods 2021, 3, 495. [Google Scholar] [CrossRef]
  32. Timón, M.; Ventanas, J.; Carrapiso, A.I.; Jurado, A.; Garcia, C. Subcutaneous and intermuscular fat characterisation of dry-cured Iberian hams. Meat Sci. 2001, 58, 85–91. [Google Scholar] [CrossRef]
  33. Song, G.; Dai, Z.; Shen, Q.; Peng, X.; Zhang, M. Analysis of the Changes in Volatile Compound and Fatty Acid Profiles of Fish Oil in Chemical Refining Process. Eur. J. Lipid Sci. Technol. 2018, 120, 1700219–1700227. [Google Scholar] [CrossRef]
  34. Wu, Y.-J.; Wang, L.; Kang, C.-J.; Shi, W.-Z.; Wang, Y.T. Effects of different slaughter methods on the volatile components of rainbow trout meat. J. Gansu Agric. Univ. 2019, 54, 158–168. [Google Scholar]
  35. Martin, D.; Antequera, T.; Muriel, E.; Andres, A.I.; Ruiz, J. Oxidative changes of fresh loin from pig, caused by dietary conjugated linoleic acid and monounsaturated fatty acids, during refrigerated storage. Food Chem. 2008, 111, 730–737. [Google Scholar] [CrossRef]
  36. Lorenzo, J.M. Changes on physico-chemical, textural, lipolysis and volatile compounds during the manufacture of dry-cured foal “cecina”. Meat Sci. 2014, 96, 256–263. [Google Scholar] [CrossRef] [PubMed]
  37. Adams, A.; Bouckaert, C.; Lancker, F.V.; Meulenaer, B.D.; Kimpe, N. Det. Amino acid catalysis of 2-Alkylfuran formation from lipid oxidation-derived α,β-unsaturated aldehydes. J. Agr. Food Chem. 2011, 59, 11058–11062. [Google Scholar] [CrossRef] [PubMed]
  38. Caprino, F.; Moretti, V.M.; Bellagamba, F.; Turchini, G.M.; Busetto, M.L.; Giani, I.; Paleari, M.A.; Pazzaglia, M. Fatty acid composition and volatile compounds of caviar from farmed white sturgeon (Acipenser transmontanus). Anal. Chim. Acta 2008, 617, 139–147. [Google Scholar] [CrossRef]
  39. Wang, H.; Zhang, J.; Zhu, Y.; Wang, X.; Shi, W. Volatile components present in different parts of grass carp. J. Food Biochem. 2018, 42, 12668. [Google Scholar] [CrossRef]
  40. Chen, J.; Tao, L.; Zhang, T.; Zhang, J.; Wu, T.; Luan, D.; Ni, L.; Wang, X.; Zhong, J. Effect of four types of thermal processing methods on the aroma profiles of acidity regulator-treated tilapia muscles using E-nose, HS-SPME-GC-MS, and HS-GC-IMS. LWT 2021, 147, 111585–111597. [Google Scholar] [CrossRef]
Figure 1. Radar plots (a,b) and principal component analysis (PCA) plots (c,d) of raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death.
Figure 1. Radar plots (a,b) and principal component analysis (PCA) plots (c,d) of raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death.
Molecules 26 05889 g001
Figure 2. Ion migration spectra from gas chromatography-ion mobility spectrometry (GC-IMS) of raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death.
Figure 2. Ion migration spectra from gas chromatography-ion mobility spectrometry (GC-IMS) of raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death.
Molecules 26 05889 g002
Figure 3. Volatile compound component spectra of raw (R) and cooked (C) sea bass subjected to different slaughter methods, using the BDSR group as the reference. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death slaughter; BDS, bloodletting to death slaughter.
Figure 3. Volatile compound component spectra of raw (R) and cooked (C) sea bass subjected to different slaughter methods, using the BDSR group as the reference. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death slaughter; BDS, bloodletting to death slaughter.
Molecules 26 05889 g003
Figure 4. Representative topographic plot of gas chromatography-ion mobility spectrometry (GC-IMS) spectra with selected markers acquired from sea bass.
Figure 4. Representative topographic plot of gas chromatography-ion mobility spectrometry (GC-IMS) spectra with selected markers acquired from sea bass.
Molecules 26 05889 g004
Figure 5. Heat map visualization of flavor-imparting compounds in raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death slaughter; BDS, bloodletting to death slaughter.
Figure 5. Heat map visualization of flavor-imparting compounds in raw (R) and cooked (C) sea bass subjected to different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death slaughter; BDS, bloodletting to death slaughter.
Molecules 26 05889 g005
Figure 6. Gallery plot of selected signal peak areas obtained from raw (a) and cooked (b) sea bass obtained using different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death; C, cooked; R, raw.
Figure 6. Gallery plot of selected signal peak areas obtained from raw (a) and cooked (b) sea bass obtained using different slaughter methods. IFD, ice faint to death; HSD, head shot control stun death; EAD, eugenol anesthesia to death; BDS, bloodletting to death; C, cooked; R, raw.
Molecules 26 05889 g006
Table 1. Sensory rating scores for steaming sea bass obtained using different slaughter methods.
Table 1. Sensory rating scores for steaming sea bass obtained using different slaughter methods.
Evaluation DimensionSteaming Samples
EADCHSDCIFDCBDSC
Flavor3.75 ± 0.90 d6.06 ± 0.58 c7.44 ± 0.58 b8.40 ± 0.48 a
Texture7.25 ± 0.89 b7.69 ± 0.84 ab5.88 ± 0.69 a8.38 ± 0.58 a
Comprehensive score5.56 ± 0.78 d6.81 ± 0.46 c7.50 ± 0.46 b8.44 ± 0.56 a
Notes: means in a row without a common superscript letter were different at least at p < 0.05.
Table 2. Gas chromatography-ion mobility spectrometry (GC-IMS) integration parameters of volatile compounds in sea bass samples.
Table 2. Gas chromatography-ion mobility spectrometry (GC-IMS) integration parameters of volatile compounds in sea bass samples.
Count.CompoundCAS#RIRt (s)Dt (ms)Peak Volume
HSDRIFDRBDSREADREADCHSDCBDSCIFDC
Aldehydes
1Nonanal-M124,1961109.7508.81.47784.3 ± 203.0 a528.7 ± 86.8 b815.9 ± 41.9 a874.8 ± 59.0 a1400.4 ± 136.2 C3204.3 ± 12.3 B3931.2 ± 92.1 A3924.7 ± 37.7 A
2Nonanal-D124,1961108506.31.9584.9 ± 22.7 a72.6 ± 10.5 a86.6 ± 8.6 a97.0 ± 9.1 a172.9 ± 27.6 D944.5 ± 26.1 C1548.1 ± 110.1 B1731.3 ± 39.5 A
9Benzaldehyde100,527957.6312.71.15116.3 ± 8.6 a88.5 ± 5.1 a131.3 ± 51.9 a99.4 ± 10.9 a135.7 ± 10.9 D244.6 ± 12.7 C325.0 ± 20.5 A276.1 ± 5.0 B
10Heptanal-M111,717907.7270.21.33419 ± 23.4 a297.6 ± 31 b433.8 ± 56.9 a232.6 ± 9.5 b1567.3 ± 148.8 B2664.4 ± 145.8 A1872.3 ± 118.2 B2870.9 ± 28.3 A
11Heptanal-D111,717901.2264.61.7056.2 ± 9.8 a32.3 ± 1.6 b50.6 ± 9.6 a33.2 ± 4.3 b796.0 ± 107.4 C2108.0 ± 261.3 AB2454.3 ± 76.2 A1974.6 ± 74.6 B
21(E)-2-octenal2,548,8701055.1430.21.3340.1 ± 7.8 ab44.4 ± 7.7 a44.0 ± 4.7 a31.3 ± 3.4 b98.3 ± 5.6 C288.9 ± 73.6 B211.7 ± 39.9 B529.0 ± 20.4 A
26Hexanal-M66,251796.1205.41.251267.4 ± 34.3 a925.3 ± 20.7 c1095.6 ± 159.1 b432.3 ± 52.2 d1498.4 ± 54.9 C2144.9 ± 35.0 A1842.1 ± 55.0 B1761.1 ± 17.4 B
27Hexanal-D66,251795.6205.11.571741.0 ± 122.3 a541.2 ± 57.8 c1255.3 ± 173.5 b256.6 ± 26.2 c4895.1 ± 14.4 B5950.6 ± 164.4 A6035.4 ± 130.7 A4906.4 ± 169.7 B
30Pentanal-M110,623694.2162.51.18594.1 ± 68.9 a451.9 ± 103.5 ab389.0 ± 89.5 bc273.2 ± 35.9 c584.5 ± 19.4 C877.4 ± 65.5 B955.1 ± 19.2 A822.4 ± 22.1 B
332-methylbutanal-M96,173665.6154.11.16535.7 ± 47.1 a538.5 ± 10.7 a421.0 ± 116.1 a268.4 ± 18.8 b195.7 ± 6.0 C323.9 ± 28.7 A280.1 ± 10 B216.5 ± 11.5 C
343-methylbutanal-M590,863644.6148.41.17602.6 ± 13.9 b734.6 ± 7.2 a441.1 ± 149.2 c239.7 ± 19.2 c275.2 ± 15.3 C496.7 ± 53.3 A550.9 ± 21.7 A340.4 ± 19.1 B
352-methylbutanal-D96,173662.6153.31.391268.0 ± 101.6 ab1383.0 ± 232.4 a558.3 ± 283.5 c938.2 ± 162.6 bc1497.3 ± 150.8 A1269.8 ± 92.3 B361.8 ± 46.3 C1430.6 ± 59.1 AB
363-methylbutanal-D590,863649.6149.81.411276.6 ± 160.3 ab1494.3 ± 274.9 a545.0 ± 106.0 c995.1 ± 174.9 b2230.6 ± 153.2 AB2126.1 ± 188.2 B536.1 ± 102.3 C2442.6 ± 12.0 A
48Pentanal-D110,623695.9163.21.43102.9 ± 9.7 a41.9 ± 0.7 bc56.2 ± 12.1 b39.2 ± 4.0 c873.1 ± 286.6 C1860.4 ± 232.2 AB2064.4 ± 37.4 A1502.0 ± 100.1 B
50(E)-2-pentenal-M1,576,870749.6185.01.1126.8 ± 3.0 b22.7 ± 1.3 b64.2 ± 15.4 a67.8 ± 12.5 a95.8 ± 7.5 D164.0 ± 15.6 C212.9 ± 4.3 B240.6 ± 21.5 A
51(E)-2-pentenal-D1,576,870748.3184.51.378.1 ± 2.4 ab5.6 ± 0.2 b12.1 ± 3.6 a6.8 ± 2.0 b23.7 ± 6.6 C51.9 ± 8.6 C108.6 ± 13.7 B202.4 ± 26.7 A
Alcohols
7oct-1-en-3-ol-M3,391,864982.4333.91.16123.5 ± 11.7 a100.3 ± 19.1 ab124.3 ± 17.5 a91.6 ± 9.6 b588.5 ± 69.0 D1181.0 ± 54.3 C1431.6 ± 41.0 B1749.6 ± 51.0 A
8oct-1-en-3-ol-D3,391,864979.3331.21.6040.3 ± 3.2 a41.9 ± 1.5 a41.1 ± 3.1 a36.6 ± 3.4 a60.0 ± 1.6 D119.2 ± 16.2 C189 ± 12.6 B283.3 ± 14.6 A
13n-Hexanol-M111,273870.9245.51.3260.6 ± 8.6 a54.5 ± 2.0 a62.7 ± 8.0 a53.8 ± 9.3 a412.5 ± 27.3 B957.6 ± 206.7 A467.2 ± 113.2 B1006.3 ± 21.8 A
14n-Hexanol-D111,273874.4247.41.6441 ± 5.1 a35.7 ± 5.8 a37.7 ± 2.2 a41.2 ± 1.5 a134.3 ± 23.2 C928.0 ± 389.2 B436.3 ± 124.6 C1820.7 ± 26.5 A
15(E)-2-hexen-1-ol-M928,950846.7232.61.1860.6 ± 8.2 a62.4 ± 7.6 a76.5 ± 11.8 a61.4 ± 0.4 a119.3 ± 11.9 D214.7 ± 9.2 C266.2 ± 2.9 B313.7 ± 19.6 A
16(E)-2-hexen-1-ol-D928,950846.7232.61.5225.16 ± 4.9 a25.56 ± 1.3 a17.98 ± 0.9 b21.96 ± 3.8 ab34.2 ± 4.9 D134.8 ± 17.6 C249.4 ± 23.5 B435.7 ± 52.8 A
28pentan-1-ol-M71,410764190.91.2599.6 ± 10.9 a55.6 ± 8.4 b58.1 ± 10.5 b47.8 ± 5.7 b375.4 ± 48.0 C758.8 ± 9.0 A685.1 ± 35.7 B619.4 ± 47.6 B
411-propanol71,238544.8121.51.11423.6 ± 23.5 a451.5 ± 54.2 a281.9 ± 89.5 b390.0 ± 23.4 a737.4 ± 50.1 C1526.4 ± 119.3 B1660.4 ± 71.8 AB1779.3 ± 77.5 A
43ethanol64,175458.998.41.13223.0 ± 7.0 b178.7 ± 10.5 c174.3 ± 23 c6116.3 ± 9.1 a5175.2 ± 243.1 A856.6 ± 45.6 B626.8 ± 30.8 B719.8 ± 19.4 B
47pentan-1-ol-D71,410767.6192.31.5123.9 ± 2.2 a23.7 ± 2.6 a24.9 ± 3.7 a23.5 ± 4.8 a275.6 ± 51.3 C959.1 ± 94.5 C1040.5 ± 61.5 B1286.2 ± 12.3 A
Ketones
182-heptanone110,430891.6256.61.2380.1 ± 7.0 a59.5 ± 2.9 b87.2 ± 12.1 a58.4 ± 8.2 b275.7 ± 35.1 C508.4 ± 71.9 B736.9 ± 20.6 A443.5 ± 8.6 B
312-Pentanone-M107,879687.7160.11.12285.4 ± 11.6 b222.5 ± 8.2 b215.0 ± 25.8 b653.4 ± 74.7 a121.7 ± 20.7 A63.7 ± 1.4 B63.8 ± 1.5 B66.6 ± 2.4 B
322-Pentanone-D107,879682.7158.71.37246.7 ± 16.2 a104.9 ± 14.0 c137.6 ± 10.1 b87.9 ± 17.4 c352.9 ± 15.5 C607.6 ± 30.5 A514.0 ± 7.7 B588.7 ± 7.3 A
402-Butanone78,933575.7129.91.25481.6 ± 21.0 a358.4 ± 35.0 b319.7 ± 17.8 b270.5 ± 21.9 c841.9 ± 55.7 C1195.0 ± 55.3 B1258.2 ± 34.7 B1350.8 ± 7.1 A
42acetone67,641512.8112.91.12574.7 ± 56.6 b356.8 ± 43.1 c430.4 ± 57.2 c1408.8 ± 89.2 a1540.5 ± 79.8 AB1646.2 ± 119.2 A1291.5 ± 30.0 D1394.9 ± 58 BC
453-hydroxybutan-2-one513,860715.1171.01.33382.9 ± 44.0 b266.6 ± 39.9 b63.4 ± 6.3 c707.6 ± 119.7 a79.0 ± 12.4 C137.1 ± 9.0 B198.8 ± 4.1 A184.9 ± 12.4 A
542,3-butanedione431,038576.7130.11.1743.8 ± 9.3 b50.7 ± 4.2 b68.2 ± 19.6 b449.1 ± 29.1 a422.7 ± 26.7 A45.0 ± 10.2 B44.3 ± 2.2 B48.4 ± 3.4 B
19isoamyl acetate123,922880.3250.61.3162.5 ± 25.8 a39.0 ± 12.1 a60.0 ± 14.0 a44.4 ± 12.3 a68.5 ± 15.1 A91.8 ± 17.0 A74.5 ± 3.8 A82.1 ± 5.9 A
24butyl propanoate590,012905267.81.2812.9 ± 1.7 a11.1 ± 1.2 ab10.6 ± 1.7 ab8.7 ± 2.3 b30.7 ± 3.6 A31.0 ± 8.6 A31.0 ± 4.5 A23.8 ± 6.5 A
49Ethyl formate109,944509.8112.21.2423.7 ± 2.2 c37.6 ± 4.0 b49.3 ± 9.3 a25.3 ± 4.8 c92.6 ± 9.7 B71.0 ± 6.7 B280.2 ± 142.8 A89.6 ± 1.8 B
53Ethyl Acetate141,786602.7137.11.3435.0 ± 5.9 b19.4 ± 2.6 b27.9 ± 6.6 b88.0 ± 17.2 a208.0 ± 46.0 A97.2 ± 11.8 B111.6 ± 5.8 B122.8 ± 17.9 B
Acids
20Hexanoic acid142,621991.2341.41.3074.1 ± 12.2 b66.7 ± 6.2 b126.0 ± 26.8 a67.6 ± 6.6 b61.0 ± 2.1 B54.2 ± 4.0 B55.7 ± 2.7 B72.1 ± 8.2 A
252-Methylbutanoic acid116,530835.6226.61.2127.1 ± 4.1 bc19.8 ± 4.7 c86.2 ± 40.9 a62.7 ± 4.8 ab15.0 ± 0.6 A17.9 ± 2.3 A17.2 ± 2.7 A20.1 ± 5.3 A
55Butanoic acid107,926825.4221.11.1612.1 ± 0.3 a15.0 ± 3.0 a23.7 ± 11.9 a11.4 ± 1.3 a13.1 ± 2.3 B21.8 ± 6.1 B39.4 ± 4.1 A41.6 ± 5.2 A
Furans
232-Pentylfuran3,777,693995.7345.21.2622.2 ± 3.6 a16.4 ± 2.9 b21.0 ± 0.8 ab16.5 ± 0.9 b97.4 ± 17.4 C205.1 ± 9.6 B279.0 ± 28.2 A284.0 ± 8.7 A
Sulfur compounds
29Dimethyl disulfide624,920745.7183.51.1436.5 ± 14.0 b41.9 ± 4.3 b182.6 ± 91.1 a148.5 ± 21.4 a30.7 ± 4.4 C53.7 ± 2.3 AB58.9 ± 1.0 A50.0 ± 4.1 B
Hydrocarbons
3Octanal-M124,1301006.8360.81.40262.7 ± 26.0 a200.1 ± 32.0 b260.2 ± 27.0 a184.2 ± 14.0 b1215.8 ± 198.3 C2396.4 ± 93.9 B2648.9 ± 69.7 A2368.9 ± 60.5 B
4Octanal-D124,1301004.3357.11.8370.6 ± 5.3 a75.8 ± 11.3 a70.5 ± 7.2 a71.9 ± 5.9 a354.2 ± 134.2 C1629.9 ± 151.2 B2355.7 ± 129.7 A2220.2 ± 104.4 A
Notes: M, monomer; D, dimer; Rt, retention time in the capillary GC column; RI, retention index calculated using n-ketones C4–C9; Dt, rift time in the drift tube. a–d: different letters indicate significant differences of raw groups between laughter methods (p < 0.05). A–D: different letters indicate significant differences of steaming groups between slaughter (p < 0.05).
Table 3. Sensors and sensitive compounds of electronic nose.
Table 3. Sensors and sensitive compounds of electronic nose.
SensorsSensitive Compounds
LY2/LGOxynitride, sulfide, chloride, fluorine
LY2/GCarbon oxide, amines, ammonia
LY2/AAAmmonia, ethanol, acetone
LY2/GHAmines, ammonia
LY2/gCTLHydrogen sulfide
LY/gCTPropane, butane
T30/1Chloride
P10/1Hydrocarbon, ammonia, chlorine
P10/2Methane, ethane
P40/1Chlorine, fluorine
T70/1Toluene, xylene, carbon oxide
PA/2Amines, ammonium hydroxide, ethanol
P30/1Hydrocarbon, ammonia, ethanol
P40/2Hydrogen sulfide, chlorine, fluorine
P30/2Ketone, hydrogen sulfide
T40/2Chlorine, fluorine
T40/1Fluorine
TA/2Ethanol
Table 4. Sensory evaluation standard for steaming sea bass.
Table 4. Sensory evaluation standard for steaming sea bass.
Evaluation ProjectEvaluation ContentEvaluation Standard
FlavorWhether there is an inherent flavor of sea bass, and whether there is any peculiar flavorSamples have a strong chicken flavor and taste, a unique umami taste of soft-boiled chicken and no bloody taste9
Samples have a light umami taste, a little bit of peculiar, delicious flavor and slightly bloody taste5
The samples have a bloody taste without the unique umami taste and flavor1
Texture profileBased on the intuitive steaming sea bass quality and state of the skin during the oral processingThe sample has elastic, tender skin9
The sample is tender, but the elasticity is weak5
The texture of the sea bass is like chewing wax, and without elasticity1
Comprehensive scoresPreferenceHighly like9
Average5
Highly dislike1
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Wang, Y.; Li, J.; Wu, Y.; Yang, S.; Wang, D.; Liu, Q. Analysis of Volatile Compounds in Sea Bass (Lateolabrax japonicus) Resulting from Different Slaughter Methods Using Electronic-Nose (E-Nose) and Gas Chromatography-Ion Mobility Spectrometry. Molecules 2021, 26, 5889. https://doi.org/10.3390/molecules26195889

AMA Style

Wang Y, Li J, Wu Y, Yang S, Wang D, Liu Q. Analysis of Volatile Compounds in Sea Bass (Lateolabrax japonicus) Resulting from Different Slaughter Methods Using Electronic-Nose (E-Nose) and Gas Chromatography-Ion Mobility Spectrometry. Molecules. 2021; 26(19):5889. https://doi.org/10.3390/molecules26195889

Chicago/Turabian Style

Wang, Yueqi, Jinxing Li, Yanyan Wu, Shengyuan Yang, Di Wang, and Qiang Liu. 2021. "Analysis of Volatile Compounds in Sea Bass (Lateolabrax japonicus) Resulting from Different Slaughter Methods Using Electronic-Nose (E-Nose) and Gas Chromatography-Ion Mobility Spectrometry" Molecules 26, no. 19: 5889. https://doi.org/10.3390/molecules26195889

APA Style

Wang, Y., Li, J., Wu, Y., Yang, S., Wang, D., & Liu, Q. (2021). Analysis of Volatile Compounds in Sea Bass (Lateolabrax japonicus) Resulting from Different Slaughter Methods Using Electronic-Nose (E-Nose) and Gas Chromatography-Ion Mobility Spectrometry. Molecules, 26(19), 5889. https://doi.org/10.3390/molecules26195889

Article Metrics

Back to TopTop