Next Article in Journal
Repeated-Batch Ethanol Fermentation from Sweet Sorghum Stem Juice under a Very High Gravity Condition Using a Stirred Tank Bioreactor Coupled with a Column Bioreactor by Immobilized Saccharomyces cerevisiae
Next Article in Special Issue
Effects of High Temperature & Pressure Pretreatment Process on Methane Production from Cyanobacteria
Previous Article in Journal
Chemical Profile and Hematoprotective Activity of Artisanal Jabuticaba (Plinia jabuticaba) Wine and Derived Extracts
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Enhancing Docosahexaenoic Acid Production of Isochrysis galbana from Starch-Rich Food Processing Byproducts

State Key Laboratory of Food Science and Technology and MOE Biomass Energy Research Center, College of Food Science and Technology, Nanchang University, 235 East Nanjing Road, Nanchang 330047, China
*
Author to whom correspondence should be addressed.
Fermentation 2023, 9(2), 158; https://doi.org/10.3390/fermentation9020158
Submission received: 27 December 2022 / Revised: 30 January 2023 / Accepted: 3 February 2023 / Published: 6 February 2023

Abstract

:
Leftover dough, a byproduct in steamed bread processing, is rich in starch, which is a carbohydrate source for microorganisms. Carbon and nitrogen are the two most abundant nutrients in the medium of Isochrysis galbana. In this study, the leftover dough hydrolysates were used as carbon resources for the cultivation of Isochrysis galbana for docosahexaenoic acid production under different NaNO3 concentrations. The results showed that hydrolysates and NaNO3 concentration affected cell growth and docosahexaenoic acid (DHA) accumulation significantly. The maximum biomass concentration of 4.18 g L−1 and maximum DHA yield of 341.3 mg L−1 were obtained with 50.0 mL L−1 hydrolysates. The DHA yield of Isochrysis galbana with 300.0 mg L−1 NaNO3 was 8.9-fold higher than that of the control. The results showed that the DHA production of Isochrysis galbana from starch-rich food processing byproducts was enhanced.

1. Introduction

Steamed bread is very popular among Chinese people. Leftover dough with high starch content is a byproduct of the processing of steamed bread. The starch content of the leftover dough can reach 48% [1]. Direct disposal of leftover dough not only causes a waste of resources but also results in environmental pollution. The starch is a carbohydrate source for microorganisms. The main component in the leftover dough, starch, can be converted to glucose by certain methods [1], which could be used as carbon sources of Isochrysis galbana (I. galbana). Because reagent cost is a great part of the cost of microalgae production [2], the use of the leftover dough could lower the production cost of docosahexaenoic acid (DHA).
DHA contributes greatly to human health and plays an important role in children’s brain development [3]. Microalgal DHA is one of the most important sources of DHA [4]. There are some promising microalgal species for commercial applications of DHA production. DHA production of 65.5 mg L−1 by I. galbana is obtained under mixotrophic conditions [1]. The highest DHA productivity of Cryptothecodinium cohnii can reach 1.47 mg L−1 h−1 using a temperature-shift strategy [5]. DHA accounts for 17% of the dry cell weight of Throustochytium sp. [6]. Cryptothecodinium cohnii and Throustochytium sp. can be cultured only indoors [5,6]. However, I. galbana can be cultured both indoors and outdoors [7]. Furthermore, I. galbana has been widely used as a bait microalga because of its small size, high DHA content, and cell wall deficiency [8]. I. galbana is a promising microalgal species for commercial applications of DHA production.
Enhanced DHA accumulation increases by utilizing I. galbana as a renewable feedstock to produce DHA. DHA accumulation of I. galbana is influenced by light, nutrients, temperature, and agitation [1,7,8,9,10]. The culture medium provides the necessary nutrients for microalgal growth and DHA biosynthesis. Carbon and nitrogen are the two most abundant nutrients in the medium of I. galbana. DHA accumulation of I. galbana is prompted under nitrogen limitation [9]. Carbon and nitrogen resources have a significant effect on DHA accumulation of I. galbana [1]. Searching low-cost culture media is essential to reduce the DHA production cost of I. galbana. The leftover dough can be used as low-cost culture media. However, there are few studies about DHA production of I. galbana from starch-rich food processing byproducts [1].
This study aimed to evaluate the DHA production of I. galbana from starch-rich food processing byproducts. In addition, the effects of leftover dough hydrolysates and NaNO3 concentrations on microalgal growth and DHA accumulation were investigated.

2. Materials and Methods

2.1. Materials

Reagents were purchased from Merck Chemicals (Shanghai, China) Co., Ltd. The activities of α-amylase, α-1, 4-glucan glucohydrolase, and cellulase were 50,000, 100,000, and 80,000 U g−1, respectively. The leftover dough was from Baodaren Company (Nanchang, China). The sample was stored at 4 °C before testing.

2.2. Preparation of Leftover Dough Hydrolysates

The sample was pretreated by enzymatic hydrolysis as follows. The leftover dough of 500.00 g for each sample was dissolved in 1 L distilled water to prepare wheat flour suspension in a 2.5-L flask. Suspension pH was adjusted to about 6.2 by 1.0 M Na2CO3. The α-amylase dosage was 2.0 g L−1. The mixture was agitated (100 rpm, 3 h) on a magnetic stirrer at 95 °C. The enzyme was deactivated at 100 °C for 10 min. Hereafter, the solution was cooled to 55 °C. The pH was regulated to 4.5. Then 5.0 g α-1, 4-glucan glucohydrolase was added. The mixture was agitated on the stirrer at 55 °C at 100 rpm for 48 h. The enzyme was deactivated at 85 °C for 10 min. The hydrolysates were separated by centrifugation (7200× g, 12 min). After phase separation, the upper liquid layer was transferred to a new 2.5-L flask and stored at 4 °C prior to use.

2.3. Microalgal Strain and Cultivation Conditions

Microalgal strain I. galbana was described in [1]. It was preserved in f/2 medium [11]. The microalga was cultured in a 4.0 L photobioreactor at about 26 °C. The photobioreactor was made of glass and had a diameter of 10 cm. The illumination and photoperiod were 160 μmol photons m−2 s−1 and 14 h light/10 h dark, respectively. The medium was composed of (mg L−1): KH2PO4·2H2O 22.6, sea salt 28,000.0, different amounts of NaNO3, and leftover dough hydrolysates. The pH was regulated to 7.0. The sterilization conditions were 121 °C and 30 min. The leftover dough hydrolysates were sterilized by sterile filtration. The inoculation ratio of I. galbana was 1:5 (v/v). The initial biomass was 0.25 g L−1. The air aeration rate was 1 vvm. The cultures were cultivated for 7 days.
To ensure the adaptability of the microalgal cultures exposed to the leftover dough hydrolysates, the microalgal species was first cultivated in sterilized liquid f/2 medium and then transferred to sterile agar plates prepared with hydrolysates for 8 generations. After that, the microalga was transferred to a sterilized liquid medium with the hydrolysates. This process was repeated 6 times to ascertain the adaptability of the microalga to the hydrolysates. Both the agar plates and the liquid medium contained 25.0 mL L−1 hydrolysates.

2.4. Experimental Design

For the experiment of leftover dough hydrolysates, different amounts of hydrolysates (25.0, 50.0, 100.0 and 200.0 mL L−1) were tested. NaNO3 of 300.0 mg L−1 was used for all the treatments. The culture medium without hydrolysates (0.0 mL L−1) was used as control.
For the experiment of NaNO3 concentrations, different NaNO3 concentrations (150.0, 300.0, 600.0 and 1200.0 mg L−1) were tested. The amount of hydrolysates used for all the treatments was 50.0 mL L−1. The culture medium without NaNO3 (0.0 mg L−1) was used as the control.

2.5. Analytical Methods

The sample was prepared and its elemental composition was measured by our previous method [12]. The limit of detection (LOD) values of Cu, Fe, B, Zn, Mn, Mo, Si, Co, Ca, Mg, K, Pb, P, Na, As, and Se were 0.05, 0.12, 0.12, 0.05, 0.05, 0.05, 0.13, 0.03, 0.13, 0.13, 0.13, 0.03, 0.12, 0.13, 0.03, and 0.03 mg L−1, respectively. The limit of quantitation (LOQ) values of Cu, Fe, B, Zn, Mn, Mo, Si, Co, Ca, Mg, K, Pb, P, Na, As, and Se were 0.22, 0.37, 0.37, 0.22, 0.22, 0.22, 0.44, 0.13, 0.44, 0.44, 0.44, 0.13, 0.37, 0.44, 0.13, and 0.13 mg L−1, respectively. The total carbohydrate in the leftover dough was measured according to a previous study [13]. The proteins in the samples were measured by the Bradford assay [14]. The glucose was measured according to a reference [15]. The LOD and LOQ values of the glucose were 7.3 and 32.4 mg L−1, respectively. The pH of the hydrolysates was measured by a pH meter. The NO3 concentration of the culture medium was analyzed referred to a previous method [16].
The maximum quantum yield of photosystem Π (Fv/Fm) was an indicator of photosynthetic efficiency [17]. Each 80.0 mL suspension was centrifugated at 9 600 rpm for 6 min. The microalga was washed with water three times. The microalga was then dried at 80 °C for 12 h. The biomass concentration (X, g L−1), the biomass productivity (P, g L−1 d−1), and the specific growth rate (μ, d−1) were calculated using the method of Zheng et al. [8].
Each 50.0-mL suspension was centrifugated at 9 600 rpm for 6 min. The microalga was washed with water three times. The microalgal pellets were then resuspended in 25.0 mL water in a glass test tube. Biomass was hydrolyzed by cellulase on the stirrer at 55 °C for 10 h prior to extracting the lipids. The pH was changed to 4.6. The cellulase concentration was 6.0 g L−1. The lipids were extracted by the hexane-methanol extraction method [18]. The lipid content was defined as:
Lipid   content = Weight   of   extracted   lipids Weight   of   biomass × 100 %
Fatty acids were analyzed by gas chromatography-mass spectrometry (GC-MS) (Thermo Finnigan, San Jose, CA, USA). Methylation of fatty acids was performed according to the method of Metchalfe and Schmitz [19]. The fatty acids were dissolved in hexane. Each sample of 1.0 μL was for GC-MS analysis. The GC-MS method was in accordance with a reference [20]. The DHA content was defined as:
DHA   content = Weight   of   extracted   DHA Weight   of   extracted   lipids × 100 %

2.6. Data Analysis

The experiment was conducted in triplicate at random. The statistical analysis of variance (ANOVA) test and the Duncan’s multiple range test (when ANOVA indicated at least one significantly different result) were conducted by a statistical software SPSS 13.0 (SPSS Inc., Chicago, IL, USA) for data analysis according to our previous report [17].

3. Results and Discussion

3.1. Characteristics of Leftover Dough and Its Hydrolysates

The chemical composition of the leftover dough is presented in Table 1. Of all the components in the leftover dough, starch had the highest proportion, 51%. The results show that leftover dough is rich in starch. Moisture had a relatively high proportion, 36%. Starch cannot be degraded by microalgae [12,21]. It can be hydrolyzed into glucose, which is often used to grow microalgae. Therefore, leftover dough can be converted into available carbon resources to produce DHA from microalgae.
The starch was successfully hydrolyzed into glucose by enzymes. The characteristics of the hydrolyzates were analyzed (Table 2). The hydrolyzates were of partial acidity with a pH of 6.3. The glucose in the hydrolyzates was 248.0 g L−1. The starch in the hydrolyzates was 0.0 g L−1. The results show that starch in leftover dough can be converted into glucose by enzymes. The protein concentration was 45.6 g L−1. The most abundant element was K (450.0 mg L−1). Two relatively abundant elements were P and Mg. Mo, Co, Pb, and As were 0.0 mg L−1. The glucose and the elements played an important role in the algal growth. The hydrolyzates can be used as renewable nutrients to produce DHA from microalgae.

3.2. Effects of Different Amounts of Hydrolysates and NaNO3 Concentrations on Cell Growth of I. galbana

3.2.1. Effects of Different Amounts of Hydrolysates

I. galbana was grown in different amounts of leftover dough hydrolysates with 300.0 mg L−1 NaNO3 (Table 3 and Figure 1). The biomass accumulation was time-dependent. The biomass concentration of the cultures with 0.0 and 200 mL L−1 hydrolysates decreased slightly at the late growth stage. The maximum biomass concentration (Xmax, g L−1), biomass productivity (Pmax, g L−1 d−1), and specific growth rate (μmax, d−1) of the optimal amounts of the hydrolysates (50.0 mL L−1) were 4.18 g L−1, 0.96 g L−1 d−1, and 1.45 d−1, respectively. The biomass concentration of Schizochytrium limacinum was 18.5 g L−1 under heterotrophic growth conditions [22]. The biomass concentration of Cryptothecodinium cohnii was 2.42 g L−1 under autotrophic growth conditions [5]. The maximum biomass concentration of Schizochytrium sp. was 65 g L−1 under heterotrophic growth conditions [23]. The difference in biomass concentration was mainly caused by different species under autotrophic/mixotrophic/heterotrophic growth conditions. Xmax, Pmax, and μmax were enhanced with increasing hydrolysates from 0.0 to 50.0 mL L−1. Xmax, Pmax, and μmax decreased with increasing hydrolysates from 50.0 to 200.0 mL L−1. This showed that cell growth was highly inhibited with 0.0 mL L−1 hydrolysates compared to 50.0 mL L−1 hydrolysates. This is because the culture with 0.0 mL L−1 hydrolysates (0.0 g L−1 glucose) had no organic carbon glucose to support cell growth and only used inorganic carbon CO2 in the air to grow. The results showed that cell growth was inhibited with 25.0 mL L−1 hydrolysates compared with 50.0 mL L−1 hydrolysates. The possible reason is that the culture with 25.0 mL L−1 hydrolysates had a low concentration of glucose. There was no sufficient organic carbon resource for I. galbana. Compared to 50.0 mL L−1 hydrolysates, Xmax, Pmax, and μmax of the culture (200.0 mL L−1 hydrolysates) decreased markedly. The results showed that a high amount of hydrolysates (200.0 mL L−1) decrease cell growth and that an excessive amount of hydrolysates was not conducive to the cell growth of I. galbana. The results were consistent with a previous study [24]. The possible reason for this is that the excessive amount of hydrolysates, causing substrate inhibition, decreased glucose metabolism and ATP production. ATP was necessary to cell growth and its decrease resulted in biomass reduction [25].
The effect of different amounts of hydrolysates on glucose and NO3 uptake is shown in Figure 2. I. galbana could accumulate biomass with glucose from the hydrolysates. Both the residual glucose and the NO3 concentrations of all the cultures except for 0.0 mL L−1 hydrolysates decreased with increasing culture time. Different amounts of hydrolysates affected the residual glucose and the NO3 concentrations significantly (p < 0.05). The results suggest that amounts of hydrolysates have a great effect on glucose and NO3 uptake. After a 7-day cultivation, the culture with 200.0 mL L−1 hydrolysates had the highest residual glucose concentration of 46.8 g L−1 and a residual NO3 concentration of 187.0 mg L−1. This showed that glucose and NO3 uptake was greatly inhibited. The residual glucose concentrations of the cultures with 25.0 and 50.0 mL L−1 hydrolysates were 0.0 g L−1. This showed that glucose in the hydrolysates was completely consumed by I. galbana. A previous study showed that there were detrimental effects of high glucose concentration on the nutrient uptake system of microalgae [26]. The residual NO3 concentration of the culture with 50.0 mL L−1 hydrolysates was 0.0 mg L−1. The results showed that overly low or overly high amounts of hydrolysates inhibited glucose and NO3 uptake.
Different amounts of hydrolysates affected the Fv/Fm of the cultures significantly (p < 0.05) (Figure 3). The Fv/Fm of I. galbana with 25.0, 50.0, and 100.0 mL L−1 hydrolysates reached peak values on Day 5. Similar results were obtained in [17,21]. The Fv/Fm of I. galbana with 25.0, 50.0, and 100.0 mL L−1 hydrolysates was relatively low at the initial growth stage and high at the late growth stage. It grew under heterotrophic or mixotrophic conditions at the initial growth stage and grew under autotrophic or mixotrophic conditions at the late growth stage. The Fv/Fm (200.0 mL L−1 hydrolysates) decreased with increasing culture time. The microalga cultured with 50.0 mL L−1 hydrolysates obtained the highest value of maximum Fv/Fm of 0.798. This indicated that an overly low or overly high amount of hydrolysates inhibited the photosynthesis of I. galbana.

3.2.2. Effects of NaNO3 Concentration

I. galbana was grown under different NaNO3 concentrations with 50.0 mL L−1 hydrolysates (Table 3 & Figure 1). The biomass accumulated with culture time. The biomass concentration of the cultures with 0.0 and 1200 mg L−1 NaNO3 reached peak values on Day 4. The NaNO3 concentrations affected cell growth significantly (p < 0.05). The Xmax, Pmax, and μmax all increased at first. Then they decreased with a further increase in the NaNO3 concentrations. The culture with 300.0 mg L−1 NaNO3 had the highest Xmax of 4.29 g L−1, a Pmax of 0.99 g L−1 d−1, and a μmax of 1.42 d−1. The results show that a low or high concentration of NaNO3 decreased the Xmax, Pmax, and μmax and that a low or high NaNO3 concentration inhibited microalgal growth. The results are consistent with a previous study [27]. A lower biomass concentration of I. galbana (1.25 g L−1) is obtained under autotrophic growth conditions [28]. The Xmax, Pmax, and μmax of the culture with 0.0 mg L−1 NaNO3 were 0.86 g L−1, 0.13 g L−1 d−1, and 0.15 d−1. The results show that the microalga could grow without the addition of NaNO3. This might be because I. galbana used nitrogen resources in the hydrolysates to grow. The results show that an excessive concentration of NaNO3 greatly inhibited microalgal growth because of substrate inhibition of the NaNO3.
The NaNO3 concentrations affected glucose and NO3 uptake significantly (p < 0.05) (Figure 4). The optimal NaNO3 concentration for glucose and NO3 uptake was 300.0 mg L−1. After a 7-day cultivation, the culture with 300.0 mg L−1 NaNO3 had the lowest residual glucose and NO3 concentrations of 0.0 g L−1/mg L−1. This showed that the glucose and the NO3 uptake was enhanced. The results show that the glucose in the hydrolysates and the NO3 were completely consumed by I. galbana. The culture with 1200.0 mg L−1 NaNO3 had the highest residual glucose concentration, 10.1 g L−1, as well as the highest residual NO3 concentration, 812.0 mg L−1. The results show that the glucose and the NO3 uptake was hindered with a high NaNO3 concentration. The culture with 0.0 mg L−1 NaNO3 had relatively a high residual glucose concentration, 8.8 g L−1. This shows that the glucose uptake was highly restrained without the addition of NaNO3.
The NaNO3 concentration significantly (p < 0.05) affected the photosynthesis of I. galbana (Figure 5). The Fv/Fm of I. galbana with 0.0 mg L−1 NaNO3 reached peak values on Day 3. Similar results were obtained by Wang et al. [8]. The reason for this may be that a lack of nitrogen reduced chlorophyll biosynthesis, which lowered the photosynthesis [29]. Compared with 300.0 mg L−1 NaNO3, the Fv/Fm of the microalga with an overly high concentration of NaNO3 (600.0 and 1 200.0 mg L−1) gradually decreased. The results show that the photosynthesis of the microalga was inhibited. Excessive NaNO3 would affect the fixation of CO2, thereby inhibiting photosynthesis [30]. The Fv/Fm of I. galbana with 150.0 and 300.0 mg L−1 NaNO3 reached peak values on Day 5. The microalga cultivated with 300.0 mg L−1 NaNO3 owned the highest value of maximum Fv/Fm of 0.795. This shows that an overly low or overly high concentration of NaNO3 decreases microalgal photosynthesis.

3.3. Effects of Different Amounts of Hydrolysates and NaNO3 Concentrations on Lipid Accumulation and DHA Production of I. galbana

3.3.1. Effects of Different Amounts of Hydrolysates

The microalga converted the glucose into lipids and DHA with different amounts of hydrolysates with 300.0 mg L−1 NaNO3 (Table 4). Different amounts of hydrolysates affected lipid content significantly (p < 0.05). The culture with 25.0 mL L−1 hydrolysates had the highest lipid content, 37%. The lipid content of I. galbana (71.1%) is about two times that in this study [28]. A higher lipid content of I. galbana (44.93%) was obtained [10]. The culture with 50.0 mL L−1 hydrolysates had a relatively high lipid content, 35%. This was caused by nitrogen limitation. I. galbana was under nitrogen limitation at the later 3 days (Figure 2B). The lipid content greatly increased under nitrogen limitation [31,32]. The optimal amount of hydrolysates was 50.0 mL L−1 with the highest maximum lipid and DHA yield, 2436.0 and 341.3 mg L−1, respectively. The culture with 0.0 mL L−1 hydrolysates had the lowest maximum lipid and DHA yields, 54.6 and 3.8 mg L−1, respectively. A lower or higher amount of hydrolysates reduced lipid and DHA accumulation significantly (p < 0.05). This shows that an amount of hydrolysates below 25.0 mL L−1 or above 100.0 mL L−1 could be harmful to lipid and DHA accumulation.
The composition of the fatty acids of I. galbana with different amounts of hydrolysates was analyzed (Table 5). There were 11 kinds of fatty acids, and their relative content was different. The same eleven varieties of fatty acids in I. galbana were identified in a previous study [8]. There are only six varieties of fatty acids without DHA in I. galbana [10]. The amount of hydrolysates affected DHA accumulation significantly (p < 0.05). I. galbana with 25.0 and 50.0 mL L−1 hydrolysates had the highest DHA content, 14%. The results suggest that a lower or higher amount of hydrolysates is not conductive to DHA accumulation.

3.3.2. Effects of NaNO3 Concentrations

Nitrogen resources are important for the lipid accumulation of microalgae [33,34]. The effect of NaNO3 concentration on lipid production was investigated when the amount of hydrolysates was 50.0 mL L−1 (Table 4). The NaNO3 concentration affected lipid and DHA accumulation significantly (p < 0.05). The culture with 300.0 mg L−1 NaNO3 obtained the highest lipid and DHA content, 37% and 13%, respectively. The optimal NaNO3 concentration was 300.0 mg L−1 with maximum lipid and DHA yields of 366.3 and 338.1 mg L−1, respectively. The culture with 0.0 mg L−1 NaNO3 obtained the maximum DHA yield of 34.1 mg L−1. The results show that the maximum DHA yield of I. galbana with 300.0 mg L−1 NaNO3 concentration was 8.9-fold higher than that of the control. The culture with 1200.0 mg L−1 NaNO3 had the lowest lipid and DHA yield. The lipid and DHA yield enhanced with increasing NaNO3 concentration from 0.0 to 300.0 mg L−1 (Table 4). Triacylglycerol synthesis in the microalgae was prompted under nitrogen limitation by enhancing carbon flux toward glycerol-3-phosphate and acyl-CoA [35,36]. However, an overly high concentration of NaNO3 decreased lipid and DHA production.
There were also 11 kinds of fatty acids, the relative content of which was different (Table 5). The contents of unsaturated and saturated fatty acids and DHA contents were significantly affected (p < 0.05) by the NaNO3 concentrations. There were also 11 varieties of fatty acids including C20:2, C20:3, C20:4, and C20:5 in the I. galbana without C14:0 and C16:0 [8]. The difference in fatty acids composition may be caused by different culture days. The culture with 300.0 mg L−1 NaNO3 had the highest DHA content of 13%. Compared with 300.0 mg L−1 NaNO3, the DHA content decreased with high NaNO3 concentrations (600.0 and 1200.0 mg L−1). Compared to 300.0 mg L−1 NaNO3, the DHA content also decreased without the addition of NaNO3 (0.0 mg L−1).

4. Conclusions

The microalgae-based byproduct recycling pathway is a promising DHA production strategy. DHA biosynthesis is prompted by the hydrolysates from starch-rich food processing byproducts. The glucose in the hydrolysates could be used as an organic carbon resource to produce DHA by I. galbana under different NaNO3 concentrations. As shown in our study, the optimal amount of hydrolysates for microalgal growth and the DHA production of I. galbana was 50.0 mL L−1. The DHA production of I. galbana is enhanced 8.9-fold with 300.0 mg L−1 NaNO3.

Author Contributions

F.G., K.S. and Z.Y.: Methodology, Conceptualization, Formal analysis, Investigation, Data analysis, Writing—original Draft, Visualization. J.L., F.Y., M.Z. and B.H.: Investigation, Conceptualization, Data analysis, Writing—review and Editing, Visualization. G.F. and H.Z.: Conceptualization, Resources, Writing—review and editing, Visualization, Supervision, Project administration, Funding acquisition. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported in part by grants from the National Natural Science Foundation of China (Grant Nos. 21767017 and 22066016) and the Science and Technology Project of the Jiangxi Provincial Department of Science and Technology (Grant No. 20212BDH81004).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data are available from the corresponding author upon request.

Acknowledgments

Song Tian, from the Baodaren Catering Management Company of Jiangxi, China, is acknowledged for providing leftover dough samples for this work.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Zheng, H.L.; Ge, F.R.; Song, K.Y.; Yang, Z.X.; Li, J.M.; Yan, F.; Wu, X.D.; Zhang, Q.; Liu, Y.H.; Ruan, R. Docosahexaenoic acid production of the marine microalga Isochrysis galbana cultivated on renewable substrates from food processing waste under CO2 enrichment. Sci. Total Environ. 2022, 848, 157654. [Google Scholar] [CrossRef]
  2. Mata, T.M.; Martins, A.A.; Caetano, N.S. Microalgae for biodiesel production and other applications: A review. Renew. Sust. Energy Rev. 2010, 14, 217–232. [Google Scholar] [CrossRef]
  3. Jakhwal, P.; Biswas, J.K.; Tiwari, A.; Kwon, E.E.; Bhatnagar, A. Genetic and non-genetic tailoring of microalgae for the enhanced production of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA)—A review. Bioresour. Technol. 2022, 344, 126250. [Google Scholar] [CrossRef]
  4. Chi, G.X.; Xu, Y.Y.; Cao, X.Y.; Li, Z.P.; Cao, M.F.; Chisti, Y.; He, N. Production of polyunsaturated fatty acids by Schizochytrium (Aurantiochytrium) spp. Biotechnol. Adv. 2022, 55, 107897. [Google Scholar] [CrossRef] [PubMed]
  5. Jiang, Y.; Chen, F. Effects of temperature and temperature shift on docosahexaenoic acid production by the marine microalge Crypthecodinium cohnii. J. Am. Oil Chem. Soc. 2000, 77, 613–617. [Google Scholar] [CrossRef]
  6. Burja, A.M.; Armenta, R.E.; Radianingtyas, H.; Barrow, C.J. Evaluation of fatty acid extraction methods for Thraustochytrium sp. ONC-T18. J. Agric. Food Chem. 2007, 55, 4795–4801. [Google Scholar] [CrossRef] [PubMed]
  7. Lv, B.; Ye, B.C.; Zhou, J.C.; Li, X.; Wang, A.M.; Gu, Z.F.; Zheng, X. Effects of indoor and outdoor culture on cell growth and pigment content of Isochrysis galbana. Aquaculture 2021, 10, 1–5. [Google Scholar]
  8. Wang, Y.Y.; Xu, S.M.; Cao, J.Y.; Wu, M.N.; Lin, J.H.; Zhou, C.X.; Zhang, L.; Zhou, H.B.; Li, Y.R.; Xu, J.L.; et al. Co-cultivation of Isochrysis galbana and Marinobacter sp. can enhance algal growth and docosahexaenoic acid production. Aquaculture 2022, 556, 738248. [Google Scholar] [CrossRef]
  9. Wang, X.X.; Fosse, H.K.; Li, K.S.; Chauton, M.S.; Vadstein, O.; Reitan, K.I. Influence of nitrogen limitation on lipid accumulation and EPA and DHA content in four marine microalgae for possible use in aquafeed. Front. Mar. Sci. 2019, 6, 95. [Google Scholar] [CrossRef]
  10. Li, L.; Zhang, L.T.; Zhang, Z.; Liu, J.G. Comparison of heat resistance and application potential of two lipid-rich Isochrysis galbana strains. Algal Res. 2016, 20, 1–6. [Google Scholar] [CrossRef]
  11. Guillard, R.R.L. Culture of phytoplankton for feeding marine invertebrate. In Culture of Marine Invertebrates Animals; Smith, W.L., Chanley, M.H., Eds.; Plenum: New York, NY, USA, 1975; pp. 29–60. [Google Scholar]
  12. Zheng, H.L.; Gao, Z.; Yin, F.W.; Ji, X.J.; Huang, H. Effect of CO2 supply conditions on lipid production of Chlorella vulgaris from enzymatic hydrolysates of lipid-extracted microalgal biomass residues. Bioresour. Technol. 2012, 126, 24–30. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, Y.; Vaidyanathan, S. Simultaneous assay of pigments, carbohydrates, proteins and lipids in microalgae. Anal. Chim. Acta. 2013, 776, 31–40. [Google Scholar] [CrossRef] [PubMed]
  14. Zor, T.; Selinger, Z. Linearization of the Bradford protein assay increases its sensitivity: Theoretical and experimental studies. Anal. Biochem. 1996, 236, 302–308. [Google Scholar] [CrossRef] [PubMed]
  15. Yan, L.S.; Zhang, H.M.; Chen, J.W.; Lin, Z.X.; Jin, Q.; Jia, H.H.; Huang, H. Dilute sulfuric acid cycle spray flow-through pretreatment of corn stover for enhancement of sugar recovery. Bioresour. Technol. 2009, 100, 1803–1808. [Google Scholar] [CrossRef] [PubMed]
  16. Collos, Y.; Mornet, F.; Sciandra, A.; Waser, N.; Larson, A.; Harrison, P.J. An optical method for the rapid measurement of micromolar concentrations of nitrate in marine phytoplankton cultures. J. Appl. Phycol. 1999, 11, 179–184. [Google Scholar] [CrossRef]
  17. Yu, J.J.; Hu, H.C.; Wu, X.D.; Zhou, T.; Liu, Y.H.; Ruan, R.; Zheng, H.L. Coupling of biochar-mediated absorption and algal-bacterial system to enhance nutrients recovery from swine wastewater. Sci. Total Environ. 2020, 701, 134935. [Google Scholar] [CrossRef]
  18. Bligh, E.G.; Dyer, W.M. A rapid method of lipid extraction and purification. Can. J. Biochem. Physiol. 1959, 37, 911–917. [Google Scholar] [CrossRef]
  19. Metchalfe, L.D.; Schmitz, A.A. The rapid preparation of fatty acid esters for gas chromatographic analysis. Anal. Chem. 1961, 33, 363–372. [Google Scholar] [CrossRef]
  20. Huang, H.; Li, X.K.; Zhang, K.; Shi, H.F.; Xia, C.B. Study on the purification of arachidonic acid by urea inclusion. Chem. Bioeng. 2006, 23, 29–31. [Google Scholar]
  21. You, K.; Ge, F.R.; Wu, X.D.; Song, K.Y.; Yang, Z.X.; Zhang, Q.; Liu, Y.H.; Ruan, R.; Zheng, H.L. Nutrients recovery from piggery wastewater and starch wastewater via microalgae-bacteria consortia. Algal Res. 2021, 60, 102551. [Google Scholar] [CrossRef]
  22. Oliver, L.; Fernández-de-Castro, L.; Dietrich, T.; Villaran, M.C.; Barrio, R.J. Production of docosahexaenoic acid and odd-chain fatty acids by microalgae Schizochytrium limacinum grown on waste-derived volatile fatty acids. Appl. Sci. 2022, 12, 3976. [Google Scholar] [CrossRef]
  23. Rohman, F.S.; Roslan, M.F.; Muhammad, D.; Shoparwe, N.F.; Hamid, A.A. Multi-objective optimal control of docosahexaenoic acid (DHA) production in fed-batch fermentation by Schizochytrium sp. Biocatal. Agric. Biotech. 2022, 45, 102490. [Google Scholar] [CrossRef]
  24. He, D.M.; Wang, N.; Sun, K.F.; Huang, Z.H.; Duan, S.S. Effect of glucose and sodium acetate on mixtrophic growth of Isochrysis zhanjiangensis. Ecol. Sci. 2012, 31, 126–129. [Google Scholar]
  25. Gim, G.H.; Ryu, J.; Kim, M.J.; Kim, P.; Kim, S.W. Effects of carbon source and light intensity on the growth and total lipid production of three microalgae under different culture conditions. J. Ind. Microbiol. Biotechnol. 2016, 43, 605–616. [Google Scholar] [CrossRef]
  26. Cheirsilp, B.; Torpee, S. Enhanced growth and lipid production of microalgae under mixotrophic culture condition: Effect of light intensity, glucose concentration and fed-batch cultivation. Bioresour. Technol. 2012, 110, 510–516. [Google Scholar] [CrossRef]
  27. Nadushan, R.M.; Hosseinzade, I. Optimization of production and antioxidant activity of fucoxanthin from marine haptophyte algae, Isochrysis galbana. Iran. J. Fish. Sci. 2020, 19, 2901–2908. [Google Scholar]
  28. Che, C.A.; Kim, S.H.; Hong, H.J.; Kityo, M.K.; Sunwoo, I.Y.; Jeong, G.T.; Kim, S.K. Optimization of light intensity and photoperiod for Isochrysis galbana culture to improve the biomass and lipid production using 14-L photobioreactors with mixed light emitting diodes (LEDs) wavelength under two-phase culture system. Bioresour. Technol. 2019, 285, 121323. [Google Scholar] [CrossRef]
  29. Yaakob, M.A.; Mohamed, R.M.S.R.; Al-Gheethi, A.; Gokare, R.A.; Ambati, R.R. Influence of nitrogen and phosphorus on microalgal growth, biomass, lipid, and fatty acid production: An overview. Cells 2021, 10, 393. [Google Scholar] [CrossRef]
  30. Jin, H.F.; Lim, B.; Lee, K. Influence of nitrate feeding on carbon dioxide fixation by microalgae. J. Environ. Sci. Health Part A Toxic Hazard. Subst. Environ. Eng. 2006, 41, 2813–2824. [Google Scholar] [CrossRef]
  31. Yeesang, C.; Cheirsilp, B. Effect of nitrogen, salt, and iron content in the growth medium and light intensity on lipid production by microalgae isolated from freshwater sources in Thailand. Bioresour. Technol. 2011, 102, 3034–3040. [Google Scholar] [CrossRef]
  32. Yeh, K.L.; Chang, J.S. Effects of cultivation conditions and media composition on cell growth and lipid productivity of indigenous microalga Chlorella vulgaris ESP-31. Bioresour. Technol. 2012, 105, 120–127. [Google Scholar] [CrossRef] [PubMed]
  33. Ramírez-Romero, A.; Magalhães, B.D.C.; Dimitriades-Lemaire, A.; Sassi, J.F.; Delrue, F.; Steyer, J.P. Chlorellaceae feedstock selection under balanced nutrient limitation. Fermentation 2022, 8, 554. [Google Scholar] [CrossRef]
  34. Khatiwada, J.R.; Guo, H.; Shrestha, S.; Chio, C.; Chen, X.; Mokale, K.A.L.; Qin, W. Cultivation of microalgae in unsterile malting effluent for biomass production and lipid productivity improvement. Fermentation 2022, 8, 186. [Google Scholar] [CrossRef]
  35. Xu, N.J.; Zhang, X.C.; Fan, X.; Han, L.J.; Zeng, C.K. Effects of nitrogen source and concentration on growth rate and fatty acid composition of Ellipsoidion sp. (Eustigmatophyta). J. Appl. Phycol. 2001, 13, 463–469. [Google Scholar] [CrossRef]
  36. Goncalves, E.C.; Wilkie, A.C.; Kirst, M.; Rathinasabapathi, B. Metabolic regulation of triacylglycerol accumulation in the green algae: Identification of potential targets for engineering to improve oil yield. Plant Biotechnol. J. 2016, 14, 1649–1660. [Google Scholar] [CrossRef]
Figure 1. Growth of I. galbana with different amounts of hydrolysates (A) and NaNO3 concentrations (B). The data are reported as means ± standard deviation (n = 3), the same as below.
Figure 1. Growth of I. galbana with different amounts of hydrolysates (A) and NaNO3 concentrations (B). The data are reported as means ± standard deviation (n = 3), the same as below.
Fermentation 09 00158 g001
Figure 2. Change in residual glucose (A) and NO3 (B) concentrations during I. galbana culture with different amounts of hydrolysates. Initial glucose (A) concentration of the culture with 0.0 mL L−1 hydrolysates was 0.0 g L−1.
Figure 2. Change in residual glucose (A) and NO3 (B) concentrations during I. galbana culture with different amounts of hydrolysates. Initial glucose (A) concentration of the culture with 0.0 mL L−1 hydrolysates was 0.0 g L−1.
Fermentation 09 00158 g002aFermentation 09 00158 g002b
Figure 3. Performance of photosystem II activity of I. galbana with different amounts of hydrolysates.
Figure 3. Performance of photosystem II activity of I. galbana with different amounts of hydrolysates.
Fermentation 09 00158 g003
Figure 4. Change in residual glucose (A) and NO3 (B) concentrations during I. galbana culture under different NaNO3 concentrations.
Figure 4. Change in residual glucose (A) and NO3 (B) concentrations during I. galbana culture under different NaNO3 concentrations.
Fermentation 09 00158 g004
Figure 5. Performance of photosystem II activity of I. galbana under different NaNO3 concentrations.
Figure 5. Performance of photosystem II activity of I. galbana under different NaNO3 concentrations.
Fermentation 09 00158 g005
Table 1. Chemical composition of leftover dough. Data are reported as means ± standard deviation (n = 3), the same as below.
Table 1. Chemical composition of leftover dough. Data are reported as means ± standard deviation (n = 3), the same as below.
ParametersComposition (wt%)
Moisture36 ± 1
Starch51 ± 2
Protein5 ± 0
Ash8 ± 1
Table 2. The characteristics of the enzymatic hydrolysates of leftover dough.
Table 2. The characteristics of the enzymatic hydrolysates of leftover dough.
ParametersConcentrationParametersConcentration
pH6.3 ± 0.0Si (mg L−1)27.0 ± 1.0
Protein (g L−1)45.6 ± 0.9Co (mg L−1)0.0 ± 0.0
Starch (g L−1)0.0 ± 0.0Ca (mg L−1)92.0 ± 8.0
Glucose (g L−1)248.0 ± 5.0Mg (mg L−1)176.0 ± 12.0
Cu (mg L−1)33.0 ± 2.0K (mg L−1)450.0 ± 18.0
Fe (mg L−1)52.0 ± 2.0Pb (mg L−1)0.0 ± 0.0
B (mg L−1)11.0 ± 0.0P (mg L−1)397.0 ± 13.0
Zn (mg L−1)24.0 ± 1.0Na (mg L−1)11.0 ± 0.0
Mn (mg L−1)9.0 ± 0.0As (mg L−1)0.0 ± 0.0
Mo (mg L−1)0.0 ± 0.0Se (mg L−1)8.0 ± 0.0
Table 3. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on cell growth of I. galbana.
Table 3. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on cell growth of I. galbana.
ParametersAmount of Leftover Dough Hydrolysates (mL L−1)NaNO3 Concentration (mg L−1)
0.025.050.0100.0200.00.0 150.0300.0600.01200.0
Xmax (g L−1)0.39 ± 0.002.37 ± 0.024.18 ± 0.022.26 ± 0.060.58 ± 0.000.86 ± 0.032.48 ± 0.004.29 ± 0.042.56 ± 0.070.51 ± 0.02
Pmax (g L−1 d−1)0.05 ± 0.000.53 ± 0.050.96 ± 0.060.45 ± 0.020.09 ± 0.000.13 ± 0.010.55 ± 0.070.99 ± 0.060.49 ± 0.030.09 ± 0.00
μmax (d−1)0.04 ± 0.000.84 ± 0.061.45 ± 0.080.74 ± 0.040.11 ± 0.010.15 ± 0.000.89 ± 0.091.42 ± 0.050.77 ± 0.020.10 ± 0.01
Xmax—maximum biomass concentration; Pmax—maximum biomass productivity; μmax—maximum specific growth rate.
Table 4. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on lipid accumulation and DHA production of I. galbana.
Table 4. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on lipid accumulation and DHA production of I. galbana.
ParametersAmount of Leftover Dough Hydrolysates (mL L−1)NaNO3 Concentration (mg L−1)
0.025.050.0100.0200.00.0 150.0300.0600.01200.0
Lipid content (%)14 ± 037 ± 035 ± 215 ± 116 ± 033 ± 135 ± 037 ± 212 ± 010 ± 0
Lipid productivity (mg L−1d−1)7.8 ± 0.0203.5 ± 1.0343.4 ± 4.578.6 ± 1.111.0 ± 0.035.8 ± 1.2202.0 ± 3.7366.3 ± 6.471.5 ± 2.35.9 ± 0.0
Maximum lipid yield (mg L−1)54.6 ± 1.41461.5 ± 8.72436.0 ± 10.0565.5 ± 5.292.8 ± 3.0283.8 ± 4.51449.0 ± 9.02601.1 ± 9.7512.4 ± 6.951.0 ± 1.0
DHA content (%)7 ± 014 ± 014 ± 18 ± 18 ± 012 ± 111 ± 013 ± 15 ± 14 ± 0
Maximum DHA yield (mg L−1)3.8 ± 0.0204.6 ± 1.9341.3 ± 4.645.2 ± 1.07.4 ± 0.134.1 ± 0.2159.4 ± 5.8338.1 ± 2.625.6 ± 0.02.0 ± 0.0
Table 5. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on fatty acid composition of I. galbana.
Table 5. Effect of different amounts of leftover dough hydrolysates and NaNO3 concentrations on fatty acid composition of I. galbana.
ParametersAmount of Leftover Dough Hydrolysates (mL L−1)NaNO3 Concentration (mg L−1)
0.025.050.0100.0200.00.0150.0300.0600.01200.0
C14:015 ± 010 ± 0 *11 ± 012 ± 014 ± 013 ± 010 ± 010 ± 015 ± 017 ± 0
C16:013 ± 19 ± 07 ± 011 ± 013 ± 19 ± 17 ± 08 ± 013 ± 014 ± 1
C16:17 ± 03 ± 04 ± 05 ± 07 ± 06 ± 06 ± 04 ± 02 ± 06 ± 0
C18:06 ± 03 ± 03 ± 04 ± 04 ± 04 ± 02 ± 02 ± 05 ± 04 ± 0
C18:117 ± 012 ± 013 ± 015 ± 116 ± 015 ± 116 ± 014 ± 010 ± 115 ± 0
C18:23 ± 05 ± 04 ± 03 ± 03 ± 06 ± 05 ± 04 ± 02 ± 05 ± 0
C18:38 ± 012 ± 011 ± 010 ± 09 ± 011 ± 013 ± 012 ± 014 ± 06 ± 0
C18:48 ± 014 ± 015 ± 011 ± 08 ± 010 ± 015 ± 016 ± 014 ± 08 ± 0
C20:06 ± 07 ± 05 ± 08 ± 08 ± 05 ± 04 ± 06 ± 08 ± 010 ± 0
C22:53 ± 06 ± 07 ± 05 ± 03 ± 03 ± 06 ± 06 ± 05 ± 02 ± 0
C22:67 ± 014 ± 014 ± 08 ± 08 ± 012 ± 011 ± 013 ± 05 ± 04 ± 0
Others7 ± 05 ± 06 ± 08 ± 17 ± 06 ± 05 ± 05 ± 07 ± 19 ± 0
Unsaturated fatty acids54 ± 166 ± 068 ± 057 ± 054 ± 163 ± 172 ± 069 ± 052 ± 046 ± 1
Saturated fatty acids38 ± 029 ± 126 ± 135 ± 138 ± 031 ± 123 ± 126 ± 141 ± 145 ± 0
*—% total fatty acids.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Ge, F.; Song, K.; Yang, Z.; Li, J.; Yan, F.; Zhang, M.; Huang, B.; Fu, G.; Zheng, H. Enhancing Docosahexaenoic Acid Production of Isochrysis galbana from Starch-Rich Food Processing Byproducts. Fermentation 2023, 9, 158. https://doi.org/10.3390/fermentation9020158

AMA Style

Ge F, Song K, Yang Z, Li J, Yan F, Zhang M, Huang B, Fu G, Zheng H. Enhancing Docosahexaenoic Acid Production of Isochrysis galbana from Starch-Rich Food Processing Byproducts. Fermentation. 2023; 9(2):158. https://doi.org/10.3390/fermentation9020158

Chicago/Turabian Style

Ge, Fengru, Kunyan Song, Zixiang Yang, Jinmeng Li, Feng Yan, Mengyan Zhang, Binbin Huang, Guiming Fu, and Hongli Zheng. 2023. "Enhancing Docosahexaenoic Acid Production of Isochrysis galbana from Starch-Rich Food Processing Byproducts" Fermentation 9, no. 2: 158. https://doi.org/10.3390/fermentation9020158

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

Article Metrics

Back to TopTop