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Journal of Food and Drug Analysis logoLink to Journal of Food and Drug Analysis
. 2016 Nov 2;25(3):637–653. doi: 10.1016/j.jfda.2016.07.006

Time course effects of fermentation on fatty acid and volatile compound profiles of Cheonggukjang using new soybean cultivars

Kye Man Cho a, Ho-Jeong Lim a, Mi-So Kim a, Da Som Kim a, Chung Eun Hwang a, Sang Hae Nam a, Ok Soo Joo a, Byong Won Lee b, Jae Kyeom Kim c,*, Eui-Cheol Shin a,*
PMCID: PMC9328825  PMID: 28911650

Abstract

In this study, we investigated the effects of the potential probiotic Bacillus subtilis CSY191 on the fatty acid profiles of Cheonggukjang, a fermented soybean paste, prepared using new Korean brown soybean cultivars, protein-rich cultivar (Saedanbaek), and oil-rich cultivar (Neulchan). Twelve fatty acids were identified in the sample set—myristic, palmitic, palmitoleic, stearic, oleic, vaccenic, linoleic, α-linolenic, arachidic, gondoic, behenic, and lignoceric acids—yet, no specific changes driven by fermentation were noted in the fatty acid profiles. To further explore the effects of fermentation of B.subtilis CSY191, complete profiles of volatiles were monitored. In total, 121, 136, and 127 volatile compounds were detected in the Saedanbaek, Daewon (control cultivar), and Neulchan samples, respectively. Interestingly, the content of pyrazines—compounds responsible for pungent and unpleasant Cheonggukjang flavors—was significantly higher in Neulchan compared to that in Saedanbaek. Although the fermentation period was not a strong factor affecting the observed changes in fatty acid profiles, we noted that profiles of volatiles in Cheonggukjang changed significantly over time, and different cultivars represented specific volatile profiles. Thus, further sensory evaluation might be needed to determine if such differences influence consumers’ preferences. Furthermore, additional studies to elucidate the associations between B. subtilis CSY191 fermentation and other nutritional components (e.g., amino acids) and their health-promoting potential are warranted.

Keywords: Cheonggukjang, fatty acids, fermentation, soybean cultivar, volatile compounds

1. Introduction

Soybeans have been an important dietary item in Asian countries including China, Korea, and Japan owing to their high protein and oil contents (approximately 40% and 20% of their dry weights, respectively) [1]. In addition, a number of studies have investigated the health-promoting effects of soybeans and soybean products, particularly their effects against cancers, cardiovascular diseases, and other chronic diseases, making this an important crop in the food industry [2,3].

In South Korea, fermented soybean foods are very common daily staples; commonly consumed fermented soybean foods include soybean paste (Doenjang), soy sauce, and Cheonggukjang (unsalted soybean paste). In particular, Cheonggukjang is characterized by excellent nutritional components and fast digestion. Cheonggukjang is made from steamed soybeans fermented by Bacillus subtilis. Fermentation by B. subtilis produces diverse metabolites including amino acids, organic acids, and fatty acids [4]. According to previous findings in the literature, intake of Cheonggukjang may improve beneficial immune activity [5] and asthma [6], control lipid metabolism [7], and attenuate neurodegenerative diseases [8].

As previously mentioned, although many studies have investigated the health-promoting effects of soybean products and their bioactive constituents, potentially enriched through fermentation [9], few reports have outlined the time course effects of fermentation with regard to changes in the nutritional characteristics of soybeans. Furthermore, even fewer studies have compared the nutritional characteristics of soybean cultivars throughout the fermentation processes. To fill the information gap, the authors analyzed the complete profiles of fatty acids and volatile compounds in Cheonggukjang and their changes in response to fermentation using the potential probiotic B. subtilis CSY191. In the present study, three Korean brown soybean cultivars—Daewon (normal), Saedanbaek (protein-rich), and Neulchan (oil-rich)—were selected to make comparisons and determine if different cultivars are responsible for changes in fatty acid and volatile compound profiles during fermentation.

2. Materials and methods

2.1. Materials

Three Korean brown soybean cultivars (Saedanbaek, Daewon, and Neulchan) were provided by the National Institute of Crop Science of the Rural Development Administration (Miryang, South Korea). The probiotic B. subtilis CSY191 was isolated from the Korean traditional soybean paste (Doenjang) as described previously [10] and used as the starter organism. High performance liquid chromatography-grade methanol, chloroform, hexane, anhydrous sodium sulfate, sodium chloride, and American Chemical Society-grade boron trifluoride in methanol were purchased from Fisher Scientific Company (Suwanee, GA, USA). Heptadecanoic acid and a variety of fatty acid methyl esters (37 FAMEs) were acquired from Sigma-Aldrich Co. (St. Louis, MO, USA).

2.2. Preparation of Cheonggukjang

Soybean samples (1 kg) were washed and soaked with three volumes of tap water at 20 ± 2°C for 12 hours and steamed for 15 minutes at 121 ± 1°C. The steamed soybeans were cooled at 40°C for 1 hour and then inoculated with 5% (w/w) B. subtilis CSY191 (7.65 log CFU/mL), followed by fermentation for up to 48 hours at 37 ± 2°C in an incubator. Samples were obtained after 0 hour, 12 hours, 24 hours, and 48 hours of fermentation. After the 24-hour fermentation period, we observed that more diverse volatile compound profiles were demonstrated than at the time point of 24 hours. On the basis of the literature including our previous research, 48-hour fermentation of soybeans is a widely accepted condition. Each of the Cheonggukjang samples were freeze-dried, ground to a powder, and stored at −80°C until analysis.

2.3. Lipid extraction

Total lipids of Cheonggukjang samples were extracted according to the classical Bligh–Dyer method [11]. Briefly, 10 g of the Cheonggukjang powder was extracted with a mixture of 20 mL deionized water, 50 mL methanol, 25 mL chloroform, and 10 mg hydroquinone. The contents were then blended on a shaker (3000g) for 2 minutes. The slurry was filtered through a Whatman No. 1 filter paper (GE Healthcare, Little Chalfont, UK). Sodium chloride (NaCl, 1 g) was added to the filtrate to facilitate phase separation and then placed at room temperature overnight for separation. Next, the chloroform phase was filtered again and completely evaporated. Extracted samples were flushed with nitrogen to prevent further oxidation and stored at −80°C until further analysis.

2.4. FAME and gas chromatography analysis

In order to analyze the fatty acid profile of extracted lipids from Cheonggukjang, FAME samples were prepared according to Ngeh-Ngwainbi’s method with slight modifications [12]. Heptadecanoic acid (C17:0, 1 mg/mL in hexane, 1 mL) was used as the internal standard (IS) for the analysis. Extracted lipids (100 mg) were mixed with 1 mL of 0.5N sodium hydroxide in methanol (w/v). The mixtures were heated to 100°C for 5 minutes in a heating block (Thermo Fisher Scientific, Rockford, IL, USA). After cooling to room temperature, 2 mL boron trifluoride in methanol (14%, w/v) was added, and the mixture was heated to 100°C for 30 minutes for methylation. Each FAME was then extracted three times with 1.5 mL of hexane.

A gas chromatography (GC) system (Agilent Technologies 7890A) interfaced with a flame ionization detector (FID) was used for analyzing the fatty acid profiles. The column was a SP-2560 capillary column (100 m × 0.25 mm i.d., 0.25 μm film thickness), and the oven program was set as follows: initial temperature, 140°C; ramping up at 4°C/min to 230°C; maintaining time, 35 minutes at 230°C. Detailed GC analysis conditions have been described in our previous work [13].

2.5. Fatty acid quantification

A relative response factor was calculated for each FAME using the IS as described previously [13]. Each FAME had a different response factor, calculated as follows:

Ri=(Psi×WsC17:0)/PsC17:0×Wsis

where Ri refers to each relative response factor for fatty acid i, Psi is the peak area of each FAME i in the FAME standard solution, WsC17:0 is the mass (mg) of the C17:0 FAME, PsC17:0 is the peak area of C17:0 FAME, and Wsis is the mass (mg) of the individual FAME i in the injected FAME standard solution.

Each fatty acid was identified by being compared to the standard FAME values using its retention time.

2.6. Characterization of fatty acids

The oleic acid/linoleic acid (O/L) ratio and iodine value (IV) were calculated according to the following formulae [14]:

O/L=%oleic acid/%linoleic acidIV=(0.8601×%oleic acid)+(1.7321×%linoleic acid)+(0.7854×%gondoic acid)

2.7. Method validation for fatty acid analysis

Accuracy and interday precision, i.e., relative repeatability standard deviation and % relative standard deviation (RSD), of the results obtained for the analysis of fatty acids in Cheonggukjang lipid extracts were determined using the Standard Reference Material (SRM) 1849a, National Institute of Standards and Technology (NIST; Gaithersburg, MD, USA). Each assay was analyzed five times, and fatty acid data were compared against the certified values provided by NIST. % RSD, bias, and % accepted value were determined as follows:

%RSD=(standard deviation×100)/meanBias=Accepted value provided from NIST-Analytical valueobtained from experiments in this study%Accepted value=(Analytical value obtained from experimentsin this study×100)/Accepted value provided from NIST

2.8. Analysis of volatile compounds

Extraction of the volatile compounds of Cheonggukjang using a simultaneous steam distillation and extraction method (SDE) and subsequent GC with mass spectrometry (GC-MS) analysis were carried out as we have previously reported [13]. In brief, 10 g of the sample was hydrolyzed with 1 L distilled water to liberate volatile compounds from the sample. Pentadecane (1 mg/mL in hexane, 1 mL) was added as an IS. The sample mixture was transferred to a 1 L round flask SDE apparatus and was heated to 110°C. To collect the volatile compounds liberated by heating, 100 mL of a mixture of n-pentane and diethyl ether (1:1, v/v) was also heated separately in the other vessel in the SDE system and redistilled prior to use. After the mixture was heated for 3 hours at 110°C, the organic solvent phase was collected and stored at 110°C overnight, and the mixture was then eluted with 10 g of anhydrous sodium sulfate on a No. 1 filter paper to remove moisture, and dried to a volume of 1 mL under a flow of nitrogen gas. Volatile compounds in the samples were analyzed using GC-MS. An HP-5MS capillary column (30 cm × 0.25 mm, i.d. 0.25 μm) was used, and the mass range (m/z) of 30–550 amu was scanned. The initial oven temperature was set at 40°C and held for 5 minutes prior to ramping up at 5°C/min to 200°C. Detected peaks in total ion chromatograms were identified and confirmed using the NIST database and fragmentation patterns. Finally, respective retention indices (RIs) were further compared to identify volatile compounds as follows [15]:

RIx=100n+100((tRx-tRn)/(tRn+1-tRn))

where RIx is the RI of the observed compound, tRx is the retention time of the observed compound, tRn is the retention time of n-alkane, and tRn+1 is the retention time of the next n-alkane.

Each volatile compound was quantified from the area of the IS to the area of each volatile compound as follows [16]:

Quantification=(PAx/PAi)×mass of the IS

where PAx is the peak area of observed compound and PAi is the peak area of the IS.

For the identification of each compound, this study used two identification procedures: one is matching between observed peak and standard fragmentation provided by NIST library (general identification procedure), and the other was by matching the RI of each compound.

If comparison between the observed peaks and standards in the NIST library shows more than 75% conformity, the RI value of each compound was checked against reference data [11].

2.9. Statistical analysis

All data were reported as mean ± standard deviation. Differences in means for each cultivar were determined using Tukey’s multiple range test at p < 0.05 using the Statistical Analysis System (SAS) software (ver. 9.1; SAS institute, Cary, NC, USA). Associations between fatty acids were also examined using the Pearson correlation coefficients and SAS.

3. Results and discussion

Three cultivars—Daewon, Saedanbaek, and Neulchan—were chosen for this study. Daewon is a conventional soybean cultivar harvested in South Korea for producing soybean products such as soybean paste or soybean sauce. According to the literature, Daewon cultivar has about 40% protein content and 18% lipid content; Saedanbaek cultivar, harvested as a protein-rich cultivar for producing tofu, has 48% protein content and 16% lipid content; and Neulchan cultivar, used for producing soybean milk products, has more than 20% lipid content [17]. Daewon cultivar is a control sample for the normal cultivar, Saedanbaek cultivar is known for its for high protein content due to producing volatile compounds released from decomposition of protein, and Neulchan cultivar is considered as the change of fatty acid profiles as oil-rich cultivar.

To characterize the soybean cultivars (i.e., Saedanbaek, Daewon, and Neulchan), total lipid contents were analyzed throughout the fermentation process (Figure 1). In general, the lipid contents of all cultivars increased over time to varying extents. As a result, no difference in lipid content was noted among the three cultivars at the end of fermentation, 48 hours after inoculation [18]. Fermented soy foods such as Cheonggukjang undergo deglycosylation by microorganisms during the fermentation period. Owing to the deglycosylation, various beneficial components are produced in fermented soyfoods. In addition, Wang et al [19] reported the hydrolysis of carbohydrates in soybean during the fermentation period, resulting in the production of free fatty acids. This study also noted that fermentation is positively related to the lipid contents of samples mainly containing fatty acids (Figure 1). In addition, fermentation involves a heating procedure with hydration by which water can catalyze liberated lipids containing fatty acids. Therefore, the efficiency of lipid extraction can be increased between raw soybean and fermented Cheonggukjang.

Figure 1.

Figure 1

Lipid contents of novel soybean cultivars at various fermentation times. Different letters correspond to the significant differences relating to the fermentation period using Tukey’s multiple test (p < 0.05).

The accuracy and interday precision of the fatty acid analysis method were determined using the SRM 1849a (Table 1). Representative GC chromatograms of Cheonggukjang made from three cultivars are also provided in Figure 2. Table 1 indicates the accuracy and interday precision (i.e., %RSD) for the method of fatty acid analysis. The accuracy value was calculated based on the percentage of the certified fatty acid content of SRM 1849a. As represented, the accuracy ranged from 92.89 ± 0.09% to 103.60 ± 0.40%, whereas the reproducibility of the method, represented by the RSD, was less than 10% for all fatty acids.

Table 1.

Accuracy (% of accepted value) and interday precision (%RSD) determined through analysis of lipid extracted from SRM 1849.a

Fatty acids Weight percentage (%) % of accepted valued % RSDe

Accepted valuea Analytical valueb Biasc
C14:0 4.79 ± 0.16 4.64 ± 0.14 0.15 96.82 ± 0.18 3.02
C16:0 9.85 ± 1.10 9.68 ± 0.24 0.16 98.34 ± 0.78 2.48
C16:1 ω-7 0.11 ± 0.01 0.10 ± 0.01 0.00 95.98 ± 0.01 9.53
C18:0 4.13 ± 0.09 4.24 ± 0.06 −0.10 102.46 ± 0.06 1.30
C18:1 ω-9 50.46 ± 5.50 51.36 ± 2.75 −0.04 101.77 ± 3.60 5.35
C18:1 ω-7 1.01 ± 0.03 1.04 ± 0.04 −0.89 103.60 ± 0.40 4.22
C18:2 ω-6 25.92 ± 2.10 25.31 ± 1.12 0.61 97.63 ± 2.63 4.42
C18:3 ω-3 0.40 ± 0.01 0.38 ± 0.02 0.02 96.25 ± 0.12 5.20
C20:0 0.29 ± 0.02 0.28 ± 0.01 0.01 96.42 ± 0.10 3.56
C20:1 ω-9 2.55 ± 0.25 2.51 ± 0.08 0.04 98.30 ± 0.43 3.19
C22:0 0.32 ± 0.01 0.30 ± 0.01 0.02 94.68 ± 0.17 3.33
C24:0 0.16 ± 0.01 0.15 ± 0.01 0.01 92.89 ± 0.09 3.27

SD = standard deviation; SRM = standard reference material.

a

The accepted value of the Cheonggukjang lipid is calculated from the certified fatty acid content of SRM 1849a based on the weight percentage.

b

Data represents the mean ± SD (n = 3).

c

Bias = accepted value – analytical value.

d

The ratio of the analytical value to accepted value expressed as a percentage.

e

RSD indicates interday relative standard deviation (SD × 100/mean).

Figure 2.

Figure 2

Representative GC-FID chromatograms of (A) Saedanbaek, (B) Daewon, and (C) Neulchan. [Peaks were assigned as follows. 1 = myristic acid (C14:0); 2 = palmitic acid (C16:0); 3 = palmitoleic acid (C16:1 ω-7); 4 = internal standard (IS, C17:0); 5 = stearic acid (C18:0); 6 = oleic acid (C18:1 ω-9); 7 = vaccenic acid (C18:1 ω-7); 8 = linoleic acid (C18:2 ω-6); 9 = linolenic acid (C18:3 ω-3); 10 = arachidic acid (C20:0); 11 = gondoic acid (C20:1 ω-9); 12 = behenic acid (C22:0); 13 = lignoceric acid (C24:0).] GC-FID = gas chromatography-flame ionization detector.

The complete fatty acid profiles of soybean cultivars and time course effects of Cheonggukjang fermentation by B. subtilis CSY191 (i.e., 0 hour, 12 hours, 24 hours, and 48 hours after inoculation of B. subtilis CSY191) are presented in Table 2. Ten fatty acids were identified in the sample set—palmitic (C16:0), stearic (C18:0), oleic (C18:1 ω-9), vaccenic (C18:1 ω-7), linoleic (C18:2 ω6), α-linolenic (C18:3 ω3), arachidic (C20:0), gondoic (C20:1 ω-9), behenic (C22:0), and lignoceric (C24:0) acids—by GC-FID. In all samples analyzed, myristic (C14:0) and palmitoleic (C16:1 ω-7) acids were detected in trace level (less than 1%), whereas C18:2 ω-6 and C18:1 ω-9 were the most prevalent acids regardless of fermentation time. Specifically, after 48 hours of fermentation by B. subtilis CSY191, the percentages of C18:1 ω9 and C18:2 ω6 in Saedanbaek were 22.06 ± 1.20% and 50.81 ± 3.17%, respectively. Not surprisingly, significant changes in lipid characteristics (e.g., IV and O/L) were not observed upon fermentation by B. subtilis CSY191 (Table 2). Similarly, the trace levels of C14:0 and C16:1 ω-7 were detected in the Daewon cultivar; yet, C18:2 ω-6 was the most abundant fatty acid (54.60 ± 3.43), followed by C18:1 ω-9 (21.38 ± 1.31), and C16:0 (10.90 ± 0.39). The % weights of C18:2 ω6, C18:1 ω9, and C16:0 were not affected by the fermentation time by B. subtilis CSY191 (Table 2). Lastly, in Neulchan, C18:2 ω-6 was the most abundant fatty acid (55.06 ± 3.41, % weight), relative to other cultivars, followed by C18:1 ω-9 and C16:0, respectively. In addition, the trace levels of C14:0 and C16:1 ω-7 were detected in the Neulchan cultivar, yet no significant change was observed after fermentation as found in the other cultivars. Of note, however, a slight difference in the fatty acid compositions of different cultivars was observed. For instance, the C18:2 ω-6 content ranged from 50.84% to 55.06%, and was the highest fatty acid content in the soybean cultivars investigated in the study. Overall, the results of the fatty acid analysis were in line with previous studies, including the recent study of Zhang and coworkers [20], who investigated 13 commercial soybean cultivars. Previously, Kim et al [21] investigated the effects of fermentation on metabolic changes in Cheonggukjang. In their study, the metabolites of fermented Cheonggukjang were significantly influenced by fermentation time (up to 72 hours) and not by the Bacillus strains. This may be because of nonspecific microbial enzymatic activities in reference to soybean protein. However, in the current study, the changes in fatty acid profiles were not as pronounced as those demonstrated in amino acid metabolites [21].

Table 2.

Changes in fatty acid profiles of Saedanbaek, Daewon, and Neulchan cultivars during Cheonggukjang fermentation by B. subtilis CSY191 over time.

Fatty acids Soybean seed Fermentation time of Saedanbaek cultivar

0 h 12 h 24 h 48 h
C14:0 TR TR TR TR TR
C16:0 12.07 ± 0.36 12.01 ± 0.38 11.99 ± 0.31 12.07 ± 0.35 12.07 ± 0.39
C16:1 ω-7 TR TR TR TR TR
C18:0 3.62 ± 0.12 3.61 ± 0.13 3.66 ± 0.14 3.76 ± 0.13 3.78 ± 0.15
C18:1 ω-9 22.51 ± 1.21 23.12 ± 1.08 23.38 ± 1.32 22.02 ± 1.15 22.06 ± 1.20
C18:1 ω-7 1.13 ± 0.06 1.29 ± 0.07 1.26 ± 0.04 1.22 ± 0.05 1.26 ± 0.06
C18:2 ω-6 50.84 ± 3.27 50.34 ± 3.33 49.76 ± 3.11 50.58 ± 3.36 50.81 ± 3.17
C18:3 ω-3 8.27 ± 0.26 7.99 ± 0.25 8.32 ± 0.31 8.72 ± 0.29 8.36 ± 0.30
C20:0 0.41 ± 0.03 0.46 ± 0.03 0.45 ± 0.02 0.45 ± 0.04 0.46 ± 0.04
C20:1 ω-9 0.23 ± 0.02 0.25 ± 0.02 0.24 ± 0.03 0.24 ± 0.03 0.24 ± 0.02
C22:0 0.64 ± 0.05 0.66 ± 0.05 0.67 ± 0.06 0.67 ± 0.08 0.67 ± 0.07
C24:0 0.18 ± 0.02 0.17 ± 0.01 0.18 ± 0.02 0.16 ± 0.03 0.18 ± 0.02
SFA 16.93 ± 0.56 16.92 ± 0.63 16.95 ± 0.54 17.13 ± 0.57 17.16 ± 0.60
MUFA 23.87 ± 1.21 24.67 ± 1.32 24.88 ± 1.09 23.47 ± 1.37 23.56 ± 1.36
PUFA 59.11 ± 2.88 58.32 ± 2.91 58.08 ± 2.79 59.30 ± 2.93 59.18 ± 2.85
IV 130.21 ± 4.38 129.28 ± 4.29 129.33 ± 4.61 130.59 ± 4.53 130.14 ± 4.65
O/L 0.47 ± 0.04 0.49 ± 0.03 0.50 ± 0.04 0.46 ± 0.04 0.46 ± 0.05

Fatty acids Soybean seed Fermentation time of Daewon cultivar

0 h 12 h 24 h 48 h

C14:0 TR TR TR TR TR
C16:0 10.90 ± 0.39 10.63 ± 0.41 10.50 ± 0.38 10.59 ± 0.42 11.39 ± 0.46
C16:1 ω-7 TR TR TR TR TR
C18:0 3.41 ± 0.14 3.31 ± 0.13 3.31 ± 0.16 3.30 ± 0.17 3.41 ± 0.15
C18:1 ω-9 21.38 ± 1.31 21.82 ± 1.27 22.24 ± 1.33 21.01 ± 1.38 21.19 ± 1.34
C18:1 ω-7 1.48 ± 0.05 1.38 ± 0.06 1.36 ± 0.08 1.47 ± 0.09 1.47 ± 0.08
C18:2 ω-6 54.60 ± 3.43 54.70 ± 3.32 54.59 ± 3.35 55.25 ± 3.41 54.61 ± 3.45
C18:3 ω-3 6.88 ± 0.28 6.88 ± 0.31 6.72 ± 0.32 7.06 ± 0.33 6.61 ± 0.27
C20:0 0.38 ± 0.04 0.34 ± 0.03 0.35 ± 0.04 0.37 ± 0.05 0.35 ± 0.04
C20:1 ω-9 0.22 ± 0.03 0.22± 0.03 0.22 ± 0.02 0.22 ± 0.03 0.22 ± 0.02
C22:0 0.49 ± 0.05 0.47 ± 0.06 0.48 ± 0.05 0.48 ± 0.04 0.49 ± 0.06
C24:0 0.18 ± 0.03 0.17 ± 0.02 0.17 ± 0.02 0.17 ± 0.03 0.19 ± 0.04
SFA 15.36 ± 0.58 14.92 ± 0.61 14.80 ± 0.56 14.91 ± 0.53 15.83 ± 0.62
MUFA 23.09 ± 1.32 23.42 ± 1.27 23.82 ± 1.30 22.70 ± 1.28 22.87 ± 1.27
PUFA 61.48 ± 3.27 61.58 ± 3.13 61.31 ± 3.24 62.31 ± 3.22 61.22 ± 3.30
IV 132.42 ± 4.47 132.88 ± 4.52 132.61 ± 4.66 133.68 ± 4.35 131.53 ± 4.28
O/L 0.42 ± 0.04 0.42 ± 0.03 0.43 ± 0.05 0.41 ± 0.04 0.41 ± 0.04

Fatty acids Soybean seed Fermentation time of Neulchan cultivar

0 h 12 h 24 h 48 h

C14:0 TR TR TR TR TR
C16:0 10.60 ± 0.42 10.53 ± 0.37 10.51 ± 0.41 10.46 ± 0.45 10.33 ± 0.44
C16:1 ω-7 TR TR TR TR TR
C18:0 3.72 ± 0.15 3.60 ± 0.14 3.74 ± 0.16 3.64 ± 0.18 3.61 ± 0.15
C18:1 ω-9 21.66 ± 1.26 21.89 ± 1.21 21.37 ± 1.36 21.02 ± 1.39 21.00 ± 1.24
C18:1 ω-7 1.45 ± 0.07 1.47 ± 0.06 1.45 ± 0.05 1.45 ± 0.07 1.44 ± 0.08
C18:2 ω-6 55.06 ± 3.41 54.91 ± 3.29 55.24 ± 3.84 55.77 ± 3.76 55.93 ± 3.52
C18:3 ω-3 6.63 ± 0.29 6.74 ± 0.33 6.81 ± 0.32 6.79 ± 0.28 6.90 ± 0.31
C20:0 0.34 ± 0.04 0.31 ± 0.03 0.33 ± 0.05 0.32 ± 0.04 0.31 ± 0.05
C20:1 ω-9 0.19 ± 0.02 0.19 ± 0.03 0.19 ± 0.02 0.19 ± 0.02 0.18 ± 0.03
C22:0 0.36 ± 0.05 0.36 ± 0.05 0.36 ± 0.04 0.36 ± 0.04 0.31 ± 0.04
C24:0 0.17 ± 0.01 0.15 ± 0.01 0.19 ± 0.02 0.17 ± 0.03 0.18 ± 0.02
SFA 15.02 ± 0.61 14.80 ± 0.53 14.94 ± 0.55 14.78 ± 0.52 14.55 ± 0.56
MUFA 23.30 ± 1.31 23.55 ± 1.34 23.01 ± 1.29 22.66 ± 1.32 22.62 ± 1.37
PUFA 61.68 ± 3.16 61.65 ± 3.18 62.05 ± 3.23 62.56 ± 3.29 62.82 ± 3.26
IV 132.72 ± 4.78 132.98 ± 4.52 133.27 ± 4.37 133.83 ± 4.43 134.36 ± 4.50
O/L 0.42 ± 0.03 0.43 ± 0.04 0.41 ± 0.04 0.40 ± 0.05 0.40 ± 0.05

Data represents the mean ± SD (n = 3).

IV = iodine value; MUFA = monounsaturated fatty acid; O/L = oleic acid/linoleic acid ratio; PUFA = polyunsaturated fatty acid; SD = standard deviation; SFA = saturated fatty acid; SRM = standard reference material; TR = trace amount (<0.1%).

Associations between fatty acids detected in Cheonggukjang were further examined using the Pearson correlation analysis (Table 3). For instance, we noted that IV was positively correlated with PUFA (r = 0.99) while negatively correlated with SFA (r = −0.95), which is expected given that it has been utilized as an indication of degree of unsaturation of fatty acids elsewhere [22,23]. In addition, it was also observed that C18:2 ω-6 is negatively correlated with C18:1 ω9 (r = −0.84; p < 0.05), which is biologically plausible considering the catalytic activity of oleoyl-phosphatidylcholinedesaturase; this microsomal enzyme introduces a carbon double bond to produce C18:2 ω-6 from C18:1 ω-9 [24]. This negative association between two fatty acids (i.e., C18:2 ω-6 and C18:1 ω-9) has been also noted in other studies [25].

Table 3.

Pearson correlation coefficients (r) between fatty acids of Cheonggukjang.

C16:0 C18:0 C18:1 ω-9 C18:1 ω-7 C18:2 ω-6 C18:3 ω-3 C20:1 ω-9 C22:0 C22:0 C24:0 SFA MUFA PUFA IV
C18:0 0.40
C18:1 ω-9 0.69 0.23
C18:1 ω-7 −0.84* −0.38 −0.73
C18:2 ω-6 −0.96* −0.42 −0.84* 0.89*
C18:3 ω-3 0.90* 0.50 0.67 −0.90* −0.94*
C20:0 0.92* 0.32 0.72 −0.78 −0.95* 0.91*
C20:1 ω-9 0.82* −0.11 0.67 −0.71 −0.82* 0.74 0.89*
C22:0 0.94* 0.17 0.74 −0.84* −0.94* 0.89* 0.96* 0.95*
C24:0 0.66 −0.38 0.46 −0.53 −0.61 0.52 0.71 0.93* 0.82*
SFA 0.98* 0.46 0.70 −0.84* −0.97* 0.92* 0.94* 0.81* 0.94* 0.63
MUFA 0.64 0.18 0.99* −0.65 −0.80* 0.60 0.68 0.65 0.70 0.44 0.65
PUFA −0.94* −0.37 −0.89* 0.84* 0.99* −0.88* −0.92* −0.83* −0.93* −0.62 −0.94* −0.86*
IV −0.95* −0.34 −0.84* 0.79 0.96* −0.82* −0.91* −0.83* −0.92* −0.66 −0.95* −0.82* 0.99*
O/L 0.87* 0.35 0.95* −0.83* −0.97* 0.85* 0.88* 0.78 0.88* 0.55 0.88* 0.93* −0.98* −0.95*

A total of 15 samples were extracted for analysis (n = 5 per cultivar).

IV = iodine value; MUFA = monounsaturated fatty acid; O/L = oleic acid/linoleic acid ratio; PUFA = polyunsaturated fatty acid; SFA = saturated fatty acid.

*

Significant at p < 0.05.

To further explore the effects of fermentation of B. subtilis CSY191, complete profiles of volatile compounds were monitored (Tables 4, 5, and 6 for Saedanbaek, Daewon, and Neulchan, respectively). To our knowledge, this is the first study to analyze volatile compounds in Cheonggukjang prepared by the Saedanbaek and Neulchan cultivars and monitor the time course effects of B. subtilis CSY191 fermentation. Intuitively, it is clear that fermentation of B. subtilis CSY191 produced diverse volatiles, regardless of soybean cultivars. Specifically, following fermentation, 121, 136, and 127 volatile compounds were detected in the Saedanbaek, Daewon, and Neulchan samples, respectively. First, we noted that levels of many ketones in Cheonggukjang were elevated after 12 hours of fermentation. Specifically, 13 different ketones were detected in the Neulchan cultivar after 48 hours of fermentation; the most prevalent volatile ketones included acetone, 2,3-butanedione, and 3-hydroxy-3-methyl-2-butanone (Table 6). In contrast, in the Saedanbaek cultivar, only seven ketones were shown with reduced abundance of peak areas (Table 4). Such differences between cultivars are likely driven by their lipid contents because ketones can be produced from fatty acid β oxidation via fermentation processes [26,27]. Throughout the tested cultivars, volatile acids and alcohols were mostly minor even though some alcohols, including ethanol were still noticeably high at the end of the fermentation period. Of note, it was demonstrated that the production of one alcohol—2,3-butanediol—was significantly increased after 12 hours of fermentation and then gradually decreased afterward. This trend was demonstrated in all cultivars, but with varying magnitudes, and was similar to another study that highlighted that this alcohol is produced in the late fermentation stage of tempeh, another fermented soybean food, rather than the early period [28]. In terms of numbers of volatile compounds, hydrocarbons are the most prevalent group of volatiles in Cheonggukjang. Specifically, 62, 71, and 62 hydrocarbons were produced during the fermentation processes in Saedanbaek, Daewon, and Neulchan cultivars, respectively. Although this class of compounds has a restricted use as food ingredients, they are widely present in nature and used as important flavor materials [29]. Lastly, various pyrazines, compounds responsible for pungent and unpleasant Cheonggukjang flavors, were detected at the end of fermentation. Interestingly, the high-oil cultivar (i.e., Neulchan) had much higher signals compared to the high-protein cultivar (i.e., Saedanbaek). More specifically, three pyrazines were detected in Neulchan (2,5-dimethyl pyrazine, trimethylpyrazine, and tetramethylpyrazine), whereas only 2,5-dimethyl pyrazine was detected in the Saedanbaek sample. The peak area for this compound was approximately 14-folds higher in Neulchan.

Table 4.

Volatile compounds present in the Saedanbaek cultivar.

Compounds Retention time (min) Retention index Relative concentration (ng)

Soybean seed Fermentation time

0 h 12 h 24 h 48 h
Acids
 Acetic acid 7.58 625 0.31 ND ND ND ND
 3-Methyl butanoic acid 18.55 859 0.15 ND ND ND ND
 Benzoic acid 31.59 1179 0.83 ND ND ND ND
Alcohols
 Methanol 3.34 <500 18.57 1.08 0.94 0.70 0.59
 Ethanol 3.83 <500 54.49 93.52 7.07 3.34 2.81
 Isopropyl alcohol 4.29 505 25.95 ND ND ND ND
 2-Methyl-2-propanol 4.77 529 ND 2.72 ND ND ND
 1-Propanol 5.59 564 1.20 ND ND ND ND
 2-Methyl-1-propanol 8.18 637 0.23 ND 0.21 0.22 0.21
 2-Butanol 6.84 607 0.60 ND ND ND ND
 1-Butanol 10.45 679 0.50 ND 0.09 ND ND
 1-Pentanol 15.57 781 0.24 ND ND ND ND
 2-Methyl-1-butanol 14.29 755 0.26 ND 0.10 ND 0.08
 2,2-Dimethyl-1-propanol 16.07 790 ND ND 21.21 ND ND
 2,3-Butanediol 16.28 794 ND ND 27.70 7.64 0.42
 1-Hexanol 19.16 876 0.23 ND ND ND ND
 5-Methyl-2-(1-methylethyl)-1-hexanol 38.60 1411 0.10 ND ND ND ND
Aldehydes
 Formaldehyde 2.98 <500 ND ND ND ND 2.25
 Acetaldehyde 3.28 <500 2.08 0.79 1.09 1.50 1.71
 2-Methyl propanal 5.18 547 0.13 0.18 0.04 0.04 0.04
 Butanal 5.99 579 0.42 ND ND ND ND
 3-Methyl butanal 8.57 645 0.10 0.19 ND ND ND
 2-Methyl butanal 9.14 656 ND 0.09 ND ND ND
n-Pentanal 11.10 689 0.47 0.12 0.14 ND ND
 Hexanal 16.13 791 1.77 0.45 ND ND 0.31
n-Heptanal 19.69 891 1.03 ND ND ND ND
 2,4-Dimethyl pentanal 21.40 934 0.14 ND ND ND ND
 Benzaldehyde 21.71 942 1.01 ND ND ND ND
 2,4-Nonadienal 22.85 968 ND 0.35 0.37 0.27 ND
 Octanal 22.86 968 0.59 ND ND ND 1.22
 Nonanal 26.84 1064 1.15 ND ND ND ND
n-Decanal 32.31 1196 1.53 ND ND ND ND
Undecanal 35.66 1298 0.30 ND ND ND ND
Esters
 Acetic acid, methyl ester 4.76 528 1.37 ND ND ND ND
 Acetic acid, ethyl ester 7.15 614 9.54 2.41 3.05 2.84 1.63
 Propanoic acid, 2-methyl-, methyl ester 11.19 690 ND ND 0.23 0.40 0.59
 2- Bromopropionic acid, pentyl ester 15.54 780 0.29 ND ND ND ND
 Butanoic acid, 3-methyl-, methyl ester 15.64 782 ND ND ND 0.12 0.14
 Butanoic acid, 2-methyl-, methyl ester 15.73 784 ND ND ND 0.14 0.22
 Sulfurous acid, decylpentyl ester 23.38 980 0.11 ND ND 0.06 ND
 4-Bromobenzoic acid, 2-butyl ester 35.07 1280 0.65 ND ND ND ND
Hydrocarbons
 1,1-Dimethylcyclopropane 4.62 522 ND 0.02 0.05 ND 0.08
 Dichloromethane 4.72 526 0.71 0.35 0.35 0.44 1.19
 Cyclopentene 5.41 557 ND ND 0.04 0.38 0.03
 2-Methyl pentane 5.66 567 ND 0.32 0.38 ND 0.46
 2-Methyl-1-pentene 6.24 589 ND 0.21 ND ND 0.01
n-Hexane 6.57 600 1.00 2.53 2.16 1.58 1.65
 Benzene 9.32 659 4.96 3.82 4.55 4.62 4.98
 Cyclohexane 9.52 663 ND 0.38 0.19 0.24 ND
 2,2,4,4-Tetramethyl pentane 11.36 693 ND ND 0.11 ND 0.17
 1-Octene 16.21 792 0.11 ND ND ND 0.16
 2,4-Dimethyl hexane 16.60 799 0.19 0.37 0.36 1.01 ND
n-Octane 16.63 800 ND 0.41 ND ND 0.46
 2,3,4-Trimethyl hexane 17.57 829 0.06 0.11 ND 0.26 0.32
 2,4-Dimethyl-1-heptene 18.23 849 0.07 0.60 0.39 0.96 0.53
 Ethyl benzene 18.75 864 0.25 0.14 0.15 0.13 0.15
 1,2-Dimethyl benzene 19.01 872 0.48 0.38 0.40 0.40 0.37
 1-Octene 19.74 892 ND ND ND 0.31 1.00
 1,3-Dimethyl benzene 19.80 894 0.31 0.27 0.13 0.24 0.20
n-Nonane 20.04 900 0.22 0.18 0.19 0.13 0.15
 4-Methyl nonane 21.94 947 ND 0.09 ND 0.21 ND
 2,3,4-Trimethyl heptane 21.95 947 ND ND ND 0.08 0.15
 2,2,6-Trimethyl octane 22.07 950 0.91 0.61 0.82 0.73 0.79
 3-Methyl undecane 23.13 974 1.40 1.69 1.79 2.06 1.83
 3,3-Dimethyl undecane 23.39 980 ND 0.10 0.10 ND 0.33
 2,2,5-Trimethyl heptane 23.58 984 ND 0.10 ND 0.13 0.14
 3-Ethyl-3-methyl heptane 23.72 987 0.09 0.13 ND 0.20 0.14
 4,5-Dimethyl nonane 23.73 988 ND ND 0.11 ND 0.17
 2,2,3-Trimethyl nonane 23.88 991 0.40 0.27 0.37 0.26 0.26
 2-Bromo-octane 23.98 993 0.09 ND ND ND ND
 2,8,8-Trimethyl decane 24.00 994 ND 0.06 0.10 0.05 0.04
 2,2-Dimethyl decane 24.15 997 2.13 1.69 2.23 1.61 1.67
 2,2,4-Trimethyl decane 24.48 1005 0.96 0.79 0.99 0.72 0.76
 Butyl cyclohexane 24.58 1007 0.15 0.15 ND 0.13 0.10
 5,5-Dimethyl undecane 24.79 1013 4.35 3.15 4.20 3.07 3.19
 3,4,5-Trimethyl heptane 25.04 1019 0.15 0.10 0.14 0.14 0.14
 3-Methyl decane 25.28 1026 0.22 0.20 0.21 0.17 0.18
 2,6-Dimethyl octane 25.42 1029 0.81 0.71 0.85 0.63 0.70
 2,2,6-Trimethyl decane 25.60 1034 3.49 2.53 2.84 2.30 2.30
 2,2,9-Trimethyl nonane 25.75 1038 3.19 2.61 3.06 2.37 2.33
 2,2,3,4,6,6-Hexamethyl heptane 25.87 1041 3.24 3.07 0.02 0.01 0.02
 2,2-Dimethyl-3-decene 26.09 1046 ND 0.21 0.23 0.17 0.17
 2,2,4,6,6-Pentamethyl heptane 26.26 1050 0.16 0.12 0.12 0.07 0.16
 4-Methyl dodecane 26.47 1055 2.49 ND 2.33 1.80 1.76
 2,2,7,7-Tetramethyl octane 26.66 1060 0.12 0.28 0.26 0.19 ND
 2,2,6,6-Tetramethyl octane 26.67 1060 ND ND ND ND 0.23
 2,3,4-Trimethyl decane 26.90 1066 ND 0.37 0.37 0.28 0.74
 5-(2-Methylpropyl)-nonane 27.04 1069 ND ND 1.02 0.61 0.98
 5-Butyl nonane 27.05 1070 0.77 0.89 ND ND ND
 5-Methyl-5-propyl nonane 27.37 1077 0.79 0.69 0.71 0.59 0.51
 2,4-Dimethyl undecane 27.71 1085 0.15 ND ND 0.09 0.05
 2,2,3,4-Tetramethyl pentane 28.00 1092 0.08 ND ND ND ND
 3,7-Dimethyl nonane 28.15 1095 0.17 0.05 0.12 0.09 0.07
 9-Methyl-2-undecene 28.27 1098 ND ND ND 0.11 0.16
 3-Methyl-5-undecene 28.29 1099 0.20 0.08 ND ND ND
 3-Methyl-2-undecene 28.30 1099 ND ND 0.15 0.14 0.12
 2,5,5-Trimethyl heptane 28.48 1103 0.12 ND ND ND ND
 4-Ethyl-2,2,6,6-tetramethyl heptane 28.63 1107 ND ND ND ND 0.13
 2,2,4-Trimethyl decane 28.64 1107 0.17 0.17 0.19 ND ND
 2,2-Dimethyl octane 28.65 1108 ND ND ND 0.11 ND
 Dodecane 32.49 1200 0.58 0.80 1.01 0.19 ND
 1,5-Diethyl-2,3-dimethyl cyclohexane 32.59 1203 0.19 ND ND ND ND
 1,4-Dicyclohexyl butane 32.61 1204 ND 0.28 0.45 0.20 ND
Ketones
 Acetone 4.10 <500 38.78 14.97 6.32 5.09 16.11
 2,3-Butanedione 5.88 575 0.93 ND 18.20 21.88 8.99
 2-Butanone 6.30 591 1.00 0.22 0.78 0.32 0.50
 3-Methyl-2-butanone 9.15 656 ND ND ND 0.30 0.82
 2-Pentanone 10.91 686 0.06 0.10 0.18 0.12 0.15
 3-Pentanone 11.01 688 ND ND 0.13 0.11 ND
 4-Methyl-2-pentanone 13.80 745 ND ND ND ND 0.17
 3-Methyl-2-pentanone 14.42 758 ND ND ND ND 1.12
 Cyclopentanone 15.68 783 0.16 ND ND ND ND
 Cyclohexanone 19.51 886 0.27 ND ND ND ND
 3-Methyl-2-hexanone 20.15 903 0.17 0.14 0.14 0.12 ND
 6-Methyl-5-hepten-2-one 22.40 958 0.20 ND ND ND ND
Miscellaneous
 Dimethyl sulfide 4.52 517 11.82 0.13 0.11 0.16 ND
 2,5-Dihydro-furan 5.48 560 0.01 ND ND ND ND
 Dimethyl disulfide 13.70 743 ND ND 0.24 0.22 0.22
 2,5-Dimethyl pyrazine 20.52 912 ND ND ND ND 0.39
 Benzothiazole 33.84 1243 0.27 ND ND ND ND
 1,3-Isobenzofurandione 35.97 1310 0.38 ND ND ND ND

Volatiles were collected at various fermentation time points and represented as peak area. The data represents the means of duplicates. The gas chromatographic retention data and mass spectral data were compared to those of authentic samples and library compounds, respectively.

ND = not detected.

Table 5.

Volatile compounds present in the Daewon cultivar.

Compounds Retention time (min) Retention index Relative concentration (ng)

Soybean seed Fermentation time

0 h 12 h 24 h 48 h
Acids
 Acetic acid 7.54 623 0.95 ND 0.23 ND ND
 2-Ethyl butanoic acid 18.00 842 ND ND 0.07 0.16 0.22
Alcohols
 Methanol 3.34 <500 10.12 1.50 ND ND 1.77
 Ethanol 3.83 <500 86.51 84.82 3.30 2.63 1.93
 Isopropyl alcohol 4.29 501 14.08 ND ND ND ND
 1-Propanol 5.59 563 2.79 ND ND ND ND
 2-Butanol 6.84 607 1.29 ND ND ND ND
 2-Methyl-1-propanol 8.17 637 1.31 ND 0.12 0.16 0.14
 1-Butanol 10.53 679 0.25 0.07 0.13 0.08 ND
 1-(1-Methylethoxy)-2-propanol 11.16 689 ND ND ND ND 0.83
 3-Pentanol 13.53 738 ND ND ND ND 0.09
 3-Methyl-3-buten-1-ol 13.96 748 ND ND ND ND 0.09
 3-Methyl-1-butanol 14.18 752 0.45 ND ND ND 0.12
 2-Methyl-1-butanol 14.26 754 1.12 ND ND ND 0.10
 1-Pentanol 15.62 781 0.25 ND ND ND ND
 5-Methyl-2-heptanol 16.22 793 ND ND ND ND 0.30
 2,3-Butanediol 16.38 795 0.37 ND 24.84 9.22 0.18
 3-Methyl-2,4-pentanediol 16.47 797 ND ND ND ND 0.10
 1-Hexanol 19.22 878 0.29 ND ND ND ND
 3-Methyl-1-heptanol 34.86 1274 0.16 ND ND ND ND
Aldehydes
 Formaldehyde 2.99 <500 2.32 2.16 1.81 1.36 1.05
 Acetaldehyde 3.27 <500 4.53 1.52 2.19 2.76 0.87
 2-Methyl propanal 5.18 545 0.16 0.24 0.08 0.06 ND
 3-Methyl butanal 8.58 645 0.11 0.25 0.04 ND ND
 2-Methyl butanal 9.14 656 0.08 0.10 ND ND ND
 n-Pentanal 11.12 688 0.17 0.16 0.19 ND ND
 n-Hexanal 16.12 791 2.40 0.91 ND ND 0.15
 n-Heptanal 19.73 892 ND 2.11 ND ND ND
 2-Methyl pentanal 19.75 892 0.35 ND ND ND ND
 2-Ethyl butanal 20.15 904 ND ND ND ND 0.14
 2,4-Nonadienal 22.85 992 ND 2.14 ND 0.39 ND
 n-Decanal 32.42 1198 ND 2.64 3.08 1.38 ND
Esters
 Formic acid, butyl ester 3.33 <500 ND 1.32 1.15 ND ND
 Acetic acid, methyl ester 4.76 525 2.00 ND ND ND ND
 Acetic acid, ethyl ester 7.14 614 2.56 2.32 2.61 2.29 2.33
 Butanoic acid, 3-methyl-, methyl ester 15.63 781 ND ND ND 0.14 0.21
 Butanoic acid, 2-methyl-, methyl ester 15.72 783 ND ND ND 0.19 0.52
 Acetic acid, butyl ester 16.92 809 ND ND 0.41 0.02 ND
 Sulfurous acid, decylpentyl ester 23.38 1005 ND 0.11 0.08 0.11 ND
 Sulfurous acid, 2-ethylhexyl hexyl ester 35.67 1298 ND 0.32 0.05 ND ND
Hydrocarbons
 Pentane 4.27 500 ND ND 2.49 1.92 ND
 Cyclopentene 5.32 551 ND ND 0.06 0.05 0.07
 2-Methyl pentane 5.62 564 ND ND 0.29 ND 0.19
 3-Methyl-pentane 6.04 581 0.46 0.40 ND ND ND
 2-Butanone 6.28 590 3.61 0.26 1.66 0.83 3.68
 n-Hexane 6.56 600 1.40 1.65 1.96 1.45 1.47
 Methyl cyclopentane 7.73 628 0.43 0.17 0.73 0.81 0.14
 Benzene 9.31 659 1.96 1.75 2.21 2.62 2.77
 Cyclohexane 9.51 662 0.15 0.07 0.27 0.31 0.22
 4-Methyl-1-hexene 11.39 693 0.23 ND 0.08 0.09 ND
 n-Heptane 11.91 700 0.20 ND ND ND 0.32
 Methyl benzene 15.05 770 7.52 10.69 8.60 7.68 5.45
 4-Methyl heptane 15.34 776 0.78 ND 0.83 0.72 ND
 2,3,4-Trimethyl pentane 15.37 776 ND 0.34 ND ND 0.35
 1-Octene 16.27 793 ND 0.46 ND ND ND
 2,4-Dimethyl hexane 16.60 799 0.63 ND 0.91 0.70 ND
 n-Octane 16.63 800 ND 0.41 ND ND 0.35
 2,3,4-Trimethyl hexane 17.56 829 0.19 ND ND ND 0.26
 2,4-Dimethyl-1-heptene 18.22 849 0.67 0.26 0.91 0.72 0.34
 Ethyl benzene 18.74 864 0.19 0.20 0.23 0.12 0.13
 1,2-Dimethyl benzene 19.01 872 0.41 0.40 0.39 0.34 0.40
 2,2,4-Trimethyl pentane 19.20 877 ND ND 0.04 0.06 ND
 n-Nonane 20.04 900 0.25 0.32 0.23 0.23 0.24
 2,4-Dimethyl hexane 20.06 901 ND ND ND 0.15 ND
 2,2,6,6-Tetramethyl heptane 21.08 935 ND ND ND ND 0.04
 2,3,4-Trimethyl heptane 21.95 964 0.15 ND ND ND ND
 2,2,6-Trimethyl octane 22.06 967 1.06 0.85 0.93 0.88 1.07
 3,3,4-Trimethyl hexane 22.38 977 ND ND ND ND 0.06
 2,2,3,5-Tetramethyl heptane 22.49 981 0.42 0.35 0.38 0.25 0.34
 3-Ethyl-2,2-dimethyl pentane 22.52 982 0.33 ND ND ND ND
 2,2,7-Trimethyl decane 22.59 984 0.24 ND ND 0.18 0.24
 2,2,7,7-Tetramethyl octane 22.64 985 ND ND ND ND 0.12
 2,2-Dimethyl octane 22.68 987 ND ND 0.08 0.08 ND
 Decane 23.12 1000 1.78 1.26 1.26 1.21 ND
 3-Ethyl-3-methyl heptane 23.15 1001 ND ND ND ND 0.94
 3,3-Dimethyl undecane 23.39 1006 0.11 ND ND ND ND
 2,2,5-Trimethyl heptane 23.64 1011 0.14 ND 0.10 ND ND
 2,2,3-Trimethyl nonane 23.87 1016 0.40 0.31 0.35 ND 0.32
 3,3,8-Trimethyl decane 23.92 1017 ND 0.15 ND ND ND
 2,3,4-Trimethyl decane 23.98 1018 ND ND 0.07 0.05 ND
 2,2-Dimethyl decane 24.14 1021 2.38 1.81 1.98 1.72 2.09
 2,2,4-Trimethyl decane 24.47 1028 1.11 0.80 0.87 0.74 0.96
 Butyl cyclohexane 24.57 1030 0.13 0.11 0.08 ND ND
 2,3,5-Trimethyl decane 24.78 1034 4.47 3.27 3.66 3.30 3.94
 3,4,5-Trimethyl heptane 25.03 1039 0.16 0.11 0.13 0.11 0.17
 3-Methyl decane 25.27 1044 0.25 0.17 0.20 0.16 0.20
 2,6-Dimethyl octane 25.41 1046 0.94 0.66 0.76 0.64 0.73
 2,2,6-Trimethyl decane 25.59 1050 3.26 2.27 2.59 2.32 2.68
 2,2,3,4,6,6-Hexamethyl heptane 25.74 1053 3.43 2.33 2.62 2.29 2.77
 2,2,9-Trimethyl nonane 25.95 1057 0.18 0.02 0.03 0.02 ND
 2,2-Dimethyl-3-decene 26.08 1059 0.32 0.13 0.14 0.17 0.21
 2,2,4,6,6-Pentamethyl heptane 26.25 1062 0.20 0.04 0.15 0.08 0.08
 4-Methyl dodecane 26.45 1066 2.63 1.68 1.95 1.67 2.00
 2,2,7,7-Tetramethyl octane 26.66 1070 0.37 0.21 0.25 0.19 0.25
 3,3,5-Trimethyl decane 26.97 1076 0.49 ND 0.21 ND 0.27
 5-(2-Methylpropyl)-nonane 27.03 1077 1.29 1.09 1.05 0.68 0.74
 5-Methyl-5-propyl nonane 27.35 1082 0.74 0.48 0.55 0.38 0.55
 6-Ethyl-2-methyl octane 27.46 1084 ND ND ND ND 0.14
 2,2,3,4-Tetramethyl pentane 27.68 1088 ND ND ND ND 0.03
 3,7-Dimethyl nonane 28.14 1096 0.14 0.30 0.04 0.05 0.07
 9-Methyl-2-undecene 28.25 1098 ND 0.07 ND 0.08 0.11
 1,3-Dimethyl cyclopentane 28.28 1099 0.11 ND 0.08 ND ND
 2,2,6-Trimethyl octane 28.60 1106 ND 0.10 0.11 ND 0.13
 4-Ethyl-2,2,6,6-tetramethyl heptane 28.65 1108 0.18 ND ND ND ND
 2,4-Dimethyl-2,6-octadiene 32.67 1206 0.30 ND ND ND ND
 5-Undecene 33.17 1222 ND ND ND ND 0.05
 1-Methyl-3-(1-methylethyl)-cyclopentane 33.55 1234 0.11 ND ND 0.08 ND
 Octyl cyclohexane 34.22 1255 0.10 ND 0.09 ND ND
 2,3,8-Trimethyl decane 35.69 1299 0.12 ND ND ND ND
 (3-Methylpentyl)-cyclohexane 37.86 1383 0.08 ND ND ND ND
 1,7-Dimethyl-4-(1-methylethyl)-cyclodecane 38.06 1391 0.03 ND ND ND ND
Ketones
 Acetone 4.09 <500 43.62 18.15 9.90 8.88 46.18
 2,3-Butanedione 5.87 574 0.94 ND 31.89 24.72 2.33
 3-Methyl-2-butanone 9.12 655 ND ND ND 0.33 3.02
 2-Pentanone 10.89 685 0.21 ND 0.10 0.17 0.42
 3-Hydroxy-2-butanone 11.97 702 0.85 ND 128.34 69.71 0.78
 3-Penten-2-one 12.33 710 0.32 ND ND ND ND
 3-Hydroxy-3-methyl-2-butanone 13.41 736 ND ND 0.80 3.19 ND
 4-Methyl-2-pentanone 13.78 744 ND ND 0.08 0.12 0.28
 3-Methyl-2-pentanone 14.40 757 ND ND 0.20 0.50 3.89
 4,4-Dimethyl-2-pentanone 15.94 787 ND ND ND ND 0.06
 2-Heptanone 19.43 883 ND ND ND ND 1.17
 5-Methyl-2-hexanone 19.46 884 ND ND 0.07 0.73 2.38
 Cyclohexanone 19.55 887 0.02 0.04 ND ND ND
 3-Methyl-2-hexanone 20.17 905 0.11 ND ND ND ND
 6-Methyl-2-heptanone 21.41 946 ND ND ND 0.18 0.88
 5-Methyl-2-heptanone 21.75 957 ND 0.25 0.34 ND 0.61
Miscellaneous
 Ethyl ether 4.40 507 ND 0.29 1.03 2.04 1.44
 Dimethyl sulfide 4.49 512 0.55 0.20 0.35 ND ND
 Methylene chloride 4.71 523 0.40 0.57 1.27 0.78 1.70
 Thiofuran 9.63 664 ND 0.06 0.08 0.01 ND
 2-Ethyl furan 11.84 699 ND 0.73 ND ND 0.18
 Dimethyl disulfide 13.69 742 ND ND ND ND 0.07
 2,5-Dimethyl pyrazine 20.47 915 ND ND ND 0.24 3.04
 2-Pentyl furan 22.84 991 ND ND ND ND 0.33
 Dihexyl sulfide 29.28 1124 0.10 ND ND ND ND

Volatiles were collected at various fermentation time points and represented as peak area. The data represents the means of duplicates. The gas chromatographic retention data and mass spectral data were compared to those of authentic samples and library compounds, respectively.

ND = not detected.

Table 6.

Volatile compounds present in the Neulchan cultivar.

Compounds Retention time (min) Retention index Relative concentration (ng)

Soybean seed Fermentation time

0 h 12 h 24 h 48 h
Acids
 Acetic acid 7.34 619 0.36 ND ND ND ND
 2-methyl propanoic acid 15.72 784 0.06 ND 0.17 0.41 1.84
 2-Ethyl butanoic acid 17.91 841 ND ND ND ND 0.13
Alcohols
 Methanol 3.33 <500 0.19 ND 0.50 ND 0.99
 Ethanol 3.82 <500 5.51 28.53 12.02 25.96 2.45
 Isopropyl Alcohol 4.31 502 1.21 ND ND ND ND
 1-Propanol 5.57 562 0.64 ND ND ND ND
 2-Ethyl cyclobutanol 6.03 580 0.03 ND ND ND ND
 2-Butanol 6.82 607 0.23 ND ND ND ND
 2-Methyl-2-propanol 7.60 625 ND ND ND 0.42 ND
 2-Methyl-1-propanol 8.13 636 0.24 ND 0.22 0.17 ND
 4-Methoxy-1-butanol 11.15 690 0.11 ND ND ND ND
 1-Methoxy-2-propanol 11.19 690 0.04 ND ND ND ND
 3-Methyl-2-butanol 12.17 708 0.11 ND ND ND ND
 3-Methyl-3-buten-1-ol 13.81 745 ND ND ND ND ND
 3-Methyl-1-butanol 14.14 752 0.20 ND 0.32 0.34 0.29
 2-Methyl-1-butanol 14.25 755 0.34 ND 0.11 0.15 0.13
 1-Pentanol 15.61 782 0.04 ND ND ND ND
 2,3-Butanediol 16.15 792 0.09 ND 80.13 46.01 ND
 2-Methyl-3-hexanol 18.49 858 ND ND 0.07 ND ND
 5-Methyl-1-hexanol 19.72 892 ND ND 0.24 ND ND
 1-Hepten-3-ol 22.30 976 ND ND ND ND 0.32
Aldehydes
 Acetaldehyde 3.27 <500 0.19 3.15 1.65 2.92 2.54
 2-Methyl propanal 5.17 545 0.02 0.15 0.11 0.14 0.12
 3-Methyl butanal 8.57 645 0.02 0.16 ND 0.26 0.12
 2-Methyl butanal 9.13 656 0.02 ND ND ND ND
 n-Pentanal 11.07 688 0.02 ND ND ND ND
 n-Hexanal 16.12 791 0.23 0.30 ND ND 0.07
 2-Heptenal 19.63 890 ND ND ND ND 0.19
 Benzaldehyde 21.78 959 ND ND ND 1.55 ND
Esters
 Acetic acid, methyl ester 4.79 527 0.06 ND ND 0.53 ND
 Propanoic acid, 2-hydroxy-2-methyl-, ethyl ester 4.81 528 ND 0.27 0.35 ND ND
 Acetic acid, ethyl ester 7.12 614 0.41 2.12 4.72 4.97 4.39
 Propanoic acid, 2-methyl-, methyl ester 11.10 689 ND ND ND ND 0.64
 Propanoic acid, 2-methyl-, ethyl ester 14.89 781 ND ND 0.11 ND 0.07
 Butanoic acid, 3-methyl-, methyl ester 15.59 952 ND ND ND 0.21 0.32
 Propanoic acid, 2-methyl-, pentyl ester 21.57 962 ND ND ND ND 0.19
 Acetic acid, methoxy-, ethyl ester 21.87 964 ND ND ND ND 0.16
 Benzoic acid, pentyl ester 21.93 527 0.01 ND ND ND ND
Hydrocarbons
 Pentane 4.27 500 ND 4.45 5.08 2.56 ND
 2-Methyl butane 4.28 501 ND ND ND ND 0.24
 n-Hexane 6.56 600 0.10 1.38 1.17 1.14 1.11
 Methyl cyclopentane 7.72 627 ND 0.20 0.40 0.20 0.23
 Methoxy ethane 8.15 637 ND ND ND ND 0.35
 Benzene 9.29 659 0.46 4.31 4.17 11.08 5.62
 Methyl benzene 15.03 770 0.55 6.51 6.39 5.67 7.44
 2,3,4-Trimethyl pentane 15.30 776 ND 0.25 ND ND 0.36
 4-Methyl heptane 15.34 777 ND ND 0.45 0.28 ND
 3-Methylene heptane 16.19 793 0.10 ND ND ND ND
 n-Octane 16.60 800 ND 0.59 0.94 1.03 0.83
 3-Methyl hexane 16.62 801 0.02 ND ND ND ND
 3,3-Dimethyl hexane 17.55 830 ND ND 0.08 0.08 ND
 2,4-Dimethyl-1-heptene 18.20 849 ND 0.29 0.58 0.50 0.31
 3,7-Dimethyl-1-octene 18.23 850 0.00 ND ND ND ND
 Ethyl benzene 18.72 864 0.02 0.08 0.14 0.17 0.20
 1,2-Dimethyl benzene 18.99 872 0.03 0.13 0.34 0.27 0.79
 1-Octene 19.73 892 0.03 ND ND ND ND
 1,3-Dimethyl benzene 19.77 894 0.04 0.10 0.14 0.23 0.14
 n-Nonane 20.01 900 0.02 0.15 ND 0.21 0.31
 2,2,6-Trimethyl octane 22.04 967 0.10 0.93 1.30 1.03 0.62
 3-Ethyl-2,2-dimethyl pentane 22.49 982 0.03 0.29 0.42 0.74 0.24
 2,2,7-Trimethyl decane 22.58 984 0.03 0.17 0.28 0.31 ND
 2,2,3,5-Tetramethyl heptane 22.69 988 ND 0.07 0.12 0.12 ND
 1,2,3-Trimethyl benzene 22.90 994 ND ND ND ND ND
 Decane 23.09 1000 ND 1.34 2.69 1.16 0.73
 3-Ethyl-3-methyl heptane 23.12 1001 0.08 ND ND ND ND
 3,3-Dimethyl undecane 23.37 1006 0.01 ND ND ND ND
 3,3,4-Trimethyl heptane 23.46 1008 ND ND ND ND 0.01
 3,3,5-Trimethyl heptane 23.54 1009 ND 0.11 ND ND 0.03
 2,3,4-Trimethyl decane 23.60 1011 ND ND ND ND 0.03
 2,2,5-Trimethyl heptane 23.71 1013 ND 0.05 0.15 0.12 ND
 2,2,3-Trimethyl nonane 23.84 1016 0.06 0.34 0.54 0.54 0.19
 4-Methyl decane 23.99 1019 0.01 ND ND ND ND
 2,2-Dimethyl decane 24.12 1021 0.33 1.98 2.82 1.91 1.25
 2,2,4-Trimethyl decane 24.43 1027 0.13 0.85 1.15 ND 0.43
 Butyl cyclohexane 24.57 1030 ND 0.11 0.13 0.12 ND
 2,3,5-Trimethyl decane 24.75 1034 0.62 3.60 5.22 3.65 2.48
 3,4,5-Trimethyl heptane 24.99 1039 0.02 0.13 0.17 ND 0.12
 2,3,6,7-Tetramethyl octane 25.26 1044 ND 0.18 0.24 0.16 ND
 2,6-Dimethyl octane 25.38 1046 0.10 0.67 0.93 0.52 0.39
 2,2,6-Trimethyl decane 25.56 1050 0.42 2.53 3.58 2.10 1.63
 2,2,3,4,6,6-Hexamethyl heptane 25.71 1052 0.41 2.59 3.62 2.36 1.58
 2,2,9-Trimethyl nonane 25.88 1056 ND 0.02 0.04 1.20 ND
 2,2-Dimethyl-3-decene 26.04 1059 0.03 0.19 0.28 ND 0.10
 3,3,7-Trimethyl decane 26.30 1063 ND ND ND ND 1.23
 2,2,4,6,6-Pentamethyl heptane 26.35 1064 0.02 0.16 0.19 ND ND
 4-Methyl dodecane 26.44 1066 0.30 1.88 2.60 1.70 ND
 5-Ethyl-2,2,3-trimethyl-heptane 26.65 1070 ND ND ND 0.38 ND
 2,2,7,7-Tetramethyl octane 26.66 1070 0.03 ND 0.23 ND ND
 3,3,8-Trimethyl decane 26.88 1074 0.04 0.25 0.35 0.25 ND
 5-(2-Methylpropyl)-nonane 26.99 1076 0.09 0.49 0.68 0.55 0.46
 5-Methyl-5-propyl nonane 27.32 1082 0.07 0.53 0.75 0.40 0.24
 3,7-Dimethyl nonane 27.92 1093 0.01 0.13 0.03 0.06 0.06
 3-Methyl-2-undecene 28.20 1097 0.01 ND ND ND ND
 9-Methyl-2-undecene 28.26 1098 ND 0.13 0.07 0.06 ND
 1,3-Dimethyl cyclopentane 28.28 1099 0.02 ND ND ND ND
 2,2,5,5-Tetramethyl hexane 28.44 1102 ND ND ND ND 0.08
 2,2,6-Trimethyl octane 28.62 1107 ND 0.14 0.14 ND ND
 2,2,9-Trimethyl decane 28.65 1108 0.02 ND ND ND ND
 Dodecane 32.49 1200 0.10 ND ND 0.60 ND
 Pentyl cyclohexane 32.53 1201 ND ND ND 0.16 0.19
Ketones
 Acetone 4.09 <500 3.79 7.43 11.47 23.97 45.96
 1-Buten-1-one 5.54 561 ND ND 0.08 ND ND
 2,3-Butanedione 5.86 574 ND ND 33.73 64.51 11.29
 2-Butanone 6.25 589 0.42 0.13 1.06 2.16 3.54
 3-Methyl-2-butanone 9.08 655 ND ND ND 0.44 1.82
 2-Pentanone 10.83 685 0.06 ND 0.15 0.39 0.71
 3-Pentanone 11.33 692 0.03 ND ND ND ND
 3-Hydroxy-2-butanone 11.99 703 0.21 0.19 171.16 160.01 4.63
 3-Hydroxy-3-methyl-2-butanone 13.39 736 0.02 ND 0.71 7.34 7.99
 4-Methyl-2-pentanone 13.72 743 ND ND ND 0.08 0.21
 3-Methyl-2-pentanone 14.34 756 ND ND 0.20 0.72 3.11
 5-Methyl-2-hexanone 18.36 854 ND ND ND 0.59 2.77
 6-Methyl-2-heptanone 21.32 944 ND ND ND ND 1.26
 5-Methyl-2-heptanone 21.65 955 ND ND ND ND 1.07
 3-Pentanone 28.56 1105 ND ND ND ND 0.01
Miscellaneous
 Dimethyl sulfide 4.51 513 0.05 0.10 0.12 ND ND
 Methylene Chloride 4.71 523 0.05 0.32 0.42 0.80 1.17
 2-Methyl furan 6.99 611 0.13 ND ND ND ND
 2-Ethyl furan 11.79 699 ND 1.84 ND ND 0.31
 Dimethyl disulfide 13.66 742 ND ND 0.10 0.06 0.14
 2,3,5-Trimethyl furan 17.06 815 ND ND ND 0.04 0.06
 2,5-Dimethyl pyrazine 20.45 915 0.01 ND ND 1.05 5.44
 2-Pentyl furan 22.81 991 0.02 0.57 1.27 1.35 0.87
 Trimethyl pyrazine 23.17 1002 ND ND ND ND 4.69
 Tetramethyl pyrazine 26.58 1069 ND ND ND 0.45 0.63

Volatiles were collected at various fermentation time points and represented as peak area. The data represents the means of duplicates. The gas chromatographic retention data and mass spectral data were compared to those of authentic samples and library compounds, respectively.

ND = not detected.

Owing to the large numbers of volatiles detected in the system, we further categorized compounds into several classes: acids, alcohols, aldehydes, esters, hydrocarbons, and ketones. Changes in volatile compounds of Cheonggukjang samples are depicted in Figure 3. We were able to find the significant reduction in alcohols in the Saedanbaek samples throughout the fermentation periods. In contrast, ketones were gradually increased. Differences between seed samples and initiation of fermentation (i.e., 0 hour) are likely driven by heat treatment, meaning boiling beans (Figure 3). In the Daewon cultivar, similar trends were demonstrated. Alcohols were decreased throughout the fermentation processes whereas ketones were significantly increased at 12 hours of fermentation. Later, however, such increases were diminished over time. Lastly, of the volatile compounds analyzed, alcohols and ketones were also two major classes of volatiles that showed changes in the Neulchan cultivar; ketones decreased initially, but significantly increased up to 24 hours of fermentation. However, at this point, it is difficult to predict which soybean cultivar may confer more favorable sensory attributes for consumers because there are potential associations between different volatile chemicals [30]. Therefore, further comprehensive sensory evaluation might help to better understand and evaluate consumers’ preferences for different soybean cultivars.

Figure 3.

Figure 3

Changes of volatile compounds in (A) Saedanbaek, (B) Daewon, and (C) Neulchan. [Symbols: ●, acids; ○, alcohols; ▼, aldehydes; △, esters; ■, hydrocarbons; and □, ketones.].

This study was conducted at the request of the soybean industry, to reexamine and update compositional information of Cheonggukjang made with novel Korean soybean cultivars. Given the paucity of studies on: (1) time course effects of fermentation on nutritional characteristics, (2) impacts of this probiotic strain (i.e., B. subtilis CSY191) on soybean products including Cheonggukjang, and (3) characteristics of the soybean cultivars investigated in this study (i.e., Saedanbaek, Daewon, and Neulchan), results herein provide important preliminary data relating to the complete profiles of fatty acids and volatile compounds of these soybeans to monitor potential influences of the fermentation processes on one of the most commonly consumed Korean fermented foods. It is further expected that the findings of this research will be used for the nutrient database of Cheonggukjang and permit soybean researchers (e.g., breeders and geneticists) to develop significant relationships between important nutrients in fermented soybeans more easily. Although the fermentation period was not a strong correlate to changes in fatty acid profiles, we noted that profiles of volatiles in Cheonggukjang changed over time and were different between cultivars; thus, further sensory evaluation might be needed to determine if such differences influence consumers’ preferences. Furthermore, additional studies are warranted to determine the associations between B. subtilis CSY191 fermentation and other nutritional components (e.g., amino acids) and their health-promoting potential in animal models.

Acknowledgments

This research was supported by the Basic Science Research Program, through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2058119) and supported by Agro & Bio-industry Technology Development Program (Grant No. 314021-03-1-SB030), Ministry of Agriculture, Food and Rural Affairs.

Abbreviations

FAME

fatty acid methyl ester

FID

flame ionization detector

IV

iodine value

IS

internal standard

SFA

saturated fatty acids

MUFA

monounsaturated fatty acids

NIST

National Institute of Standards and Technology

PUFA

polyunsaturated fatty acids

O/L

ratio of oleic to linoleic acids

RSD

relative standard deviation

SRM

standard reference material

Funding Statement

This research was supported by the Basic Science Research Program, through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2014R1A1A2058119) and supported by Agro & Bio-industry Technology Development Program (Grant No. 314021-03-1-SB030), Ministry of Agriculture, Food and Rural Affairs.

Footnotes

Conflict of interest

All contributing authors declare no conflicts of interest.

REFERENCES

  • 1. Natarajan S, Luthria D, Bae H, Lakshman D, Mitra A. Transgenic soybeans and soybean protein analysis: an overview. J Agric Food Chem. 2013;61:11736–43. doi: 10.1021/jf402148e. [DOI] [PubMed] [Google Scholar]
  • 2. Velasquez MT, Bhathena SJ. Dietary phytoestrogens: a possible role in renal disease protection. Am J Kidney Dis. 2001;37:1056–68. doi: 10.1016/s0272-6386(05)80025-3. [DOI] [PubMed] [Google Scholar]
  • 3. Velasquez MT, Bhathena SJ. Role of dietary soy protein in obesity. Int J Med Sci. 2007;4:72–82. doi: 10.7150/ijms.4.72. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4. Baek JG, Shim SM, Kwon DY, Choi HK, Lee CH, Kim YS. Metabolite profiling of Cheonggukjang, a fermented soybean paste, inoculated with various Bacillus strains during fermentation. Biosci Biotechnol Biochem. 2010;74:1860–8. doi: 10.1271/bbb.100269. [DOI] [PubMed] [Google Scholar]
  • 5. Cho CW, Han CJ, Rhee YK, Lee YC, Shin KS, Shin JS, Lee KT, Hong HD. Cheonggukjang polysaccharides enhance immune activities and prevent cyclophosphamide-induced immunosuppression. Int J Biol Macromol. 2014;72:519–25. doi: 10.1016/j.ijbiomac.2014.09.010. [DOI] [PubMed] [Google Scholar]
  • 6. Bae MJ, Shin HS, See HJ, Chai OH, Shon DH. Cheonggukjang ethanol extracts inhibit a murine allergic asthma via suppression of mast cell-dependent anaphylactic reactions. J Med Food. 2014;17:142–9. doi: 10.1089/jmf.2013.2997. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Kim J, Choi JN, Choi JH, Cha YS, Muthaiya MJ, Lee CH. Effect of fermented soybean product (Cheonggukjang) intake on metabolic parameters in mice fed a high-fat diet. Mol Nutr Food Res. 2013;57:1886–91. doi: 10.1002/mnfr.201200700. [DOI] [PubMed] [Google Scholar]
  • 8. Go J, Kim JE, Kwak MH, Koh EK, Song SH, Sung JE, Kim DS, Hong JT, Hwang DY. Neuroprotective effects of fermented soybean products (Cheonggukjang) manufactured by mixed culture of Bacillus subtilis MC31 and Lactobacillus sakei 383 on trimethyltin-induced cognitive defects mice. Nutr Neurosci. 2016;19:247–59. doi: 10.1179/1476830515Y.0000000025. [DOI] [PubMed] [Google Scholar]
  • 9. Ali NM, Yeap SK, Yusof HM, Beh BK, Ho WY, Koh SP, Abdullah MP, Alitheen NB, Long K. Comparison of free amino acids, antioxidants, soluble phenolic acids, cytotoxicity and immunomodulation of fermented mung bean and soybean. J Sci Food Agric. 2016;96:1648–58. doi: 10.1002/jsfa.7267. [DOI] [PubMed] [Google Scholar]
  • 10. Lee JH, Nam SH, Seo WT, Yun HD, Hong SY, Kim MK, Cho KM. The production of surfactin during the fermentation of cheonggukjang by potential probiotic Bacillus subtilis CSY191 and the resultant growth suppression of MCF-7 human breast cancer cells. Food Chem. 2012;131:1347–54. [Google Scholar]
  • 11. Bligh EG, Dyer WJ. A rapid method of total lipid extraction and purification. Can J Biochem Physiol. 1959;37:911–7. doi: 10.1139/o59-099. [DOI] [PubMed] [Google Scholar]
  • 12. Ngeh-Ngwainbi J, Lin J, Chandler A. Determination of total, saturated, unsaturated, and monounsaturated fats in cereal products by acid hydrolysis and capillary gas chromatography: collaborative study. J AOAC Int. 1997;80:359–72. [PubMed] [Google Scholar]
  • 13. Kim JK, Shin EC, Lim HJ, Choi SJ, Kim CR, Suh SH, Kim CJ, Park GG, Park CS, Kim HK, Choi JH, Song SW, Shin DH. Characterization of nutritional composition, antioxidative capacity, and sensory attributes of Seomae mugwort, a native Korean variety of Artemisia argyi H. Lev. & Vaniot. J Anal Methods Chem. 2015;2015:916346. doi: 10.1155/2015/916346. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14. Shin EC, Hwang CE, Lee BW, Kim HT, Ko JM, Baek IY, Lee YB, Choi JS, Cho EJ, Seo WT, Cho KM. Chemometric approach to fatty acid profiles in soybean cultivars by principal component analysis (PCA) Prev Nutr Food Sci. 2012;17:184–91. doi: 10.3746/pnf.2012.17.3.184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Kim JK, Park HG, Kim CR, Lim HJ, Cho KM, Choi JS, Shin DH, Shin EC. Quality evaluation on use of camellia oil as an alternative method in dried seaweed preparation. Prev Nutr Food Sci. 2014;19:234–41. doi: 10.3746/pnf.2014.19.3.234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Liu X, Jin Q, Liu Y, Huang J, Wang X, Mao W, Wang S. Changes in volatile compounds of peanut oil during the roasting process for production of aromatic roasted peanut oil. J Food Sci. 2011;76:C404–12. doi: 10.1111/j.1750-3841.2011.02073.x. [DOI] [PubMed] [Google Scholar]
  • 17. Hyun-Tae K, Jong Min K, In Youl B, Meong Ki J, Won Young H, Keum Yong P, Byong Won L, Young Hoon L, Chan Sik J, Ki Won O, Tae Joung H, Jung Kyung M, Hong Tae Y, Jong Hyeong L, Jae Keun C, Jae Hyun J, Seung Su L, Yeong Jik J, Chang Ki S, Dal Soon K. Soybean cultivar for tofu, ‘Saedanbaek’ with disease resistance, and high protein content. Kor J Breed Sci. 2014;46:295–301. [Google Scholar]
  • 18. Kim S-H, Yang Y-S, Chung I-M. Effect of acetic acid treatment on isoflavones and carbohydrates in pickled soybean. Food Res Int. 2016;81:58–65. [Google Scholar]
  • 19. Wang D, Thakker C, Liu P, Bennett GN, San KY. Efficient production of free fatty acids from soybean meal carbohydrates. Biotechnol Bioeng. 2015;112:2324–33. doi: 10.1002/bit.25633. [DOI] [PubMed] [Google Scholar]
  • 20. Zhang X, Gao B, Shi H, Slavin M, Huang H, Whent M, Sheng Y, Yu LL. Chemical composition of 13 commercial soybean samples and their antioxidant and anti-inflammatory properties. J Agric Food Chem. 2012;60:10027–34. doi: 10.1021/jf303039a. [DOI] [PubMed] [Google Scholar]
  • 21. Kim J, Choi JN, John KM, Kusano M, Oikawa A, Saito K, Lee CH. GC-TOF-MS- and CE-TOF-MS-based metabolic profiling of cheonggukjang (fast-fermented bean paste) during fermentation and its correlation with metabolic pathways. J Agric Food Chem. 2012;60:9746–53. doi: 10.1021/jf302833y. [DOI] [PubMed] [Google Scholar]
  • 22. Cadena T, Prada F, Perea A, Romero HM. Lipase activity, mesocarp oil content, and iodine value in oil palm fruits of Elaeis guineensis, Elaeis oleifera, and the interspecific hybrid OxG (E. oleifera × E. guineensis) J Sci Food Agric. 2012;93:674–80. doi: 10.1002/jsfa.5940. [DOI] [PubMed] [Google Scholar]
  • 23. Prieto N, Uttaro B, Mapiye C, Turner TD, Dugan ME, Zamora V, Young M, Beltranena E. Predicting fat quality from pigs fed reduced-oil corn dried distillers grains with solubles by near infrared reflectance spectroscopy: fatty acid composition and iodine value. Meat Sci. 2014;98:585–90. doi: 10.1016/j.meatsci.2014.06.009. [DOI] [PubMed] [Google Scholar]
  • 24. Ray TK, Holly SP, Knauft DA, Abbott AG, Powell GL. The primary defect in developing seed from the high oleate variety of peanut (Arachis hypogaea L.) is the absence of Δ12-desaturase activity. Plant Sci. 1993;91:15–21. [Google Scholar]
  • 25. Andersen PC, Gorbet DW. Influence of year and planting date on fatty acid chemistry of high oleic acid and normal peanut genotypes. J Agric Food Chem. 2002;50:1298–305. doi: 10.1021/jf0113171. [DOI] [PubMed] [Google Scholar]
  • 26. Fadda S, Lebert A, Leroy-Setrin S, Talon R. Decarboxylase activity involved in methyl ketone production by Staphylococcus carnosus 833, a strain used in sausage fermentation. FEMS Microbiol Lett. 2002;210:209–14. doi: 10.1111/j.1574-6968.2002.tb11182.x. [DOI] [PubMed] [Google Scholar]
  • 27. Dajanta K, Apichartsrangkoon A, Chukeatirote E. Volatile profiles of thua nao, a Thai fermented soy product. Food Chem. 2011;125:464–70. [Google Scholar]
  • 28. Feng XM, Larsen TO, Schnurer J. Production of volatile compounds by Rhizopus oligosporus during soybean and barley tempeh fermentation. Int J Food Microbiol. 2007;113:133–41. doi: 10.1016/j.ijfoodmicro.2006.06.025. [DOI] [PubMed] [Google Scholar]
  • 29. Adams TB, Gavin CL, McGowen MM, Waddell WJ, Cohen SM, Feron VJ, Marnett LJ, Munro IC, Portoghese PS, Rietjens IM, Smith RL. The FEMA GRAS assessment of aliphatic and aromatic terpene hydrocarbons used as flavor ingredients. Food Chem Toxicol. 2011;49:2471–94. doi: 10.1016/j.fct.2011.06.011. [DOI] [PubMed] [Google Scholar]
  • 30. Johnson AJ, Heymann H, Ebeler SE. Volatile and sensory profiling of cocktail bitters. Food Chem. 2015;179:343–54. doi: 10.1016/j.foodchem.2015.01.114. [DOI] [PubMed] [Google Scholar]

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