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Article

Effect of Carbon Dioxide on the Growth and Nutrient Uptake of the Microalgae Chlorella sorokiniana from Digestate

by
Thomas L. Palikrousis
,
Sotirios D. Kalamaras
and
Petros Samaras
*
Department of Food Science and Technology, International Hellenic University, Sindos, 57400 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Water 2025, 17(18), 2674; https://doi.org/10.3390/w17182674
Submission received: 18 July 2025 / Revised: 22 August 2025 / Accepted: 5 September 2025 / Published: 10 September 2025

Abstract

Microalgae are photosynthetic microorganisms capable of capturing CO2 from both the atmosphere and industrial emissions while producing valuable biomass. Among the various factors influencing microalgal growth, CO2 availability plays a critical role. This study examined how different CO2 flow rates affect the growth and nutrient assimilation of Chlorella sorokiniana cultivated in diluted digestate from a biogas plant with nitrogen concentrations up to 5 g/L. Results showed that biomass productivity increased with CO2 supply up to a threshold, beyond which it declined. The highest mean productivity was observed at a CO2 flow rate of 0.025 LPM, which did not differ significantly from the 0.050 LPM treatment, indicating comparable performance. In contrast, the highest flow rate (0.100 LPM) led to reduced productivity, although still higher than the control (no CO2). A similar trend was observed in ammonium removal, whereas phosphorus uptake remained relatively unaffected by CO2 supply. Overall, elevated CO2 levels appeared to shift microalgal metabolism towards biomass with lower nitrogen content and increased lipid and carbohydrate accumulation.

1. Introduction

Algae are classified into macroalgae and microalgae [1]. Microalgae constitute an untapped resource, with over 25,000 species identified, yet just 15 are presently exploited commercially [2]. These microscopic organisms are found in both seawater and freshwater and are classified as eukaryotic microorganisms [3]. Rightly referred to as nature’s ‘green gold’ [4], algae is a promising raw material with the potential to mitigate global warming and water pollution, and at the same time providing premium products with significant added value [5,6]. They accumulate high amounts of nutrients by assimilating them from the growing medium [7] and can be cultivated without the use of herbicides or fertilizers [8].
Microalgae are mainly composed of lipids, carbohydrates, and proteins [9]. Depending on their growth conditions, species, strain, and growth phase, microalgae are also capable of producing various non-nutritive metabolites [10] of high added value, such as phenols, alkaloids, and flavonoids [6], which may exhibit antioxidant, anti-inflammatory, antimicrobial, antiviral, and anticancer activities [11]. They also contribute to enhancing sustainable agriculture by providing an alternative bio-fertilizer [12]. Finally, microalgae are used in wastewater treatment, with simultaneous recovery of water, nitrogen, and phosphorus [13].
The approximate molecular formula CO0.48H1.83N0.11P0.01 reflects the minimal nutritional requirements for microalgal growth [14,15]. Growth is influenced not only by nutrient concentrations but also by various environmental and physiological parameters, including the type of microalgae, light intensity, pH, salinity, nutrient availability, nitrogen-to-phosphorus (N:P) ratio, temperature, dissolved oxygen levels, and the type of culture system used [9,16,17]. Among essential nutrients, carbon, nitrogen, and phosphorus are particularly important for autotrophic growth [9]. Carbon must be supplied in relatively high amounts, as it constitutes a fundamental building block of all cellular organic compounds, including carbohydrates, proteins, nucleic acids, vitamins, and lipids [9]. These nutrients, along with water, can be sourced from waste materials such as wastewater and exhaust gases, which are low-cost or even freely available. This makes microalgae a compelling option for bioenergy production, supporting environmental sustainability and contributing to carbon neutrality, while also conserving finite natural resources [9,18,19].
Carbon dioxide (CO2) is a crucial factor in microalgal growth, accounting for approximately 50% of biomass by weight based on the biomass molecular formula [20]. Through photosynthesis, microalgae capture CO2 and convert it into biomass, which can then be used to produce lipids for bioenergy, as well as other valuable products such as food and pharmaceuticals, which strengthens the market potential and financial sustainability of such projects [21,22,23]. Microalgae are significantly more efficient than terrestrial plants in capturing CO2; while terrestrial plants are estimated to capture only 3–6% of annual anthropogenic CO2 emissions due to their slow growth, microalgae can capture CO2 10 to 50 times more effectively [21,24], having the capacity to incorporate up to 100 gigatons (GT) of CO2 into biomass per annum [25].
Given the high demand for CO2 in microalgae cultivation—approximately 1.8 to 2.0 kg of CO2 is required per kg of biomass produced [9,26]—atmospheric CO2 (0.03%) alone is insufficient. Instead, utilizing CO2 from industrial exhaust emissions presents a practical and sustainable alternative, offering a low-cost carbon source while simultaneously reducing atmospheric CO2 levels [9,17]. Moreover, wastewater is recognized as a readily available source of both water and nutrients, addressing two major limiting factors in algae cultivation [27,28]. Using wastewater not only reduces input costs, with estimated savings of over 50% [29], but also enhances sustainability by treating and purifying waste streams [9,30]. This integrated approach supports the water-energy-environment nexus [26,31]. Microalgae cultivation is a renewable and environmentally friendly process that makes use of non-arable land year-round [32,33], and unlike conventional secondary treatment systems, it actively assimilates CO2, including that released during sludge dewatering processes [27,34].
While CO2 is essential for microalgal growth, excessive concentrations can be detrimental. When CO2 supply exceeds the metabolic capacity of the microalgae, it can lead to acidification of the culture medium, negatively affecting growth [20]. Concentrations above 5% are considered toxic for some species [9]. Tolerance to elevated CO2 levels varies among species and should be a key criterion when selecting microalgae for CO2 sequestration. For instance, Scenedesmus sp. can grow at CO2 levels up to 20%, though its optimal concentration is around 2%, whereas Chlorella sp. can tolerate up to 40% CO2 [26]. In addition to nitrogen and phosphorus limitation, high CO2 concentrations can also enhance lipid accumulation in microalgal biomass [20].
It should also be noted that tolerance to environmental stressors, such as high concentrations of ammonium nitrogen (N-NH4+), varies significantly between species. Ammonium toxicity—typically observed at concentrations above 100 mg/L—can impair growth by inducing oxidative stress and disrupting cellular metabolism, although some strains have shown greater resilience depending on cultivation conditions [15,35].
Interventions in variables such as growth temperature [9], light intensity [9,18,20,36], pH [9], alkalinity [11,16,32], and nutrient supply or limitation [18,21,22,24] have been widely studied for their effects on both biomass growth rate and composition of C. sorokiniana. However, relatively few studies have specifically examined the influence of the carbon source—particularly carbon dioxide—on biomass production [37]. The majority of relevant studies, whether on C. sorokiniana [20,38,39] or other microalgae [26], report CO2 supply as a percentage of the total gas mixture, without specifying the actual flow rate in absolute volumetric units, thereby limiting the evaluation of CO2 quantity as an independent variable. Since CO2 is essential for photosynthesis but can inhibit microalgal growth at high levels, defining its supply is crucial. To our knowledge, Montoya-Vallejo et al. [20] have employed similarly high CO2 flow rates, reaching up to 0.2 LPM. In contrast, Do Thi et al. [38] used a 20% CO2 concentration with a flow rate below 0.02 LPM, whereas Gabrielyan et al. [39] reported a maximum concentration equivalent to 0.008 LPM.
Considering that the efficiency of CO2 uptake by microalgae is directly affected by the cell density of the suspension [21], the aim of this study was to investigate the growth behavior and macronutrient composition of C. sorokiniana under varying CO2 concentrations. Additionally, the study assessed the effect of CO2 levels on nutrient removal efficiency from polluted wastewater streams. A secondary objective was to evaluate how different CO2 concentrations affect the carbon and nitrogen content of C. sorokiniana biomass. To the best of our knowledge, the carbon and nitrogen composition of C. sorokiniana biomass under these specific conditions has not yet been reported in international scientific texts.

2. Materials and Methods

2.1. Initital Chlorella sorokiniana Cultivation

The green microalga C. sorokiniana employed in this study was obtained from an existing culture previously maintained at the International Hellenic University in Sindos, Greece, derived from anaerobic digestion effluent [22]. Cultivation occurred in 2 L Erlenmeyer flasks under a steady incubation temperature of 25 ± 1 °C. The growth medium used was BG-11, supplemented as described by Psachoulia et al. [22]. All cultivation materials and media were autoclaved at 121 °C for 20 min to ensure sterility. However, the ammonium ferric citrate and trace element solutions were sterilized using 0.2 μm Whatman PTFE syringe filters (Whatman Inc., Piscataway, NJ, USA). Compressed air, filtered through the same type of syringe filters, was introduced into the cultures at a flow rate of 1 L per minute (LPM) for aeration purposes. Illumination was provided from both sides using LED lights (6000 K, 7.2 W/m), delivering cool white light at an intensity of 20 µmol/m2/s under a 16:8 h light-to-dark photoperiod [22,36,40], a lighting setup shown to enhance biomass yield [40]. Light levels were monitored with a QSO-E PAR Photon Flux Sensor (Apogee Instruments Inc., Logan, UT, USA) linked to a Fluke Model 177 True-RMS Digital Multimeter (Everett, WA, USA). Every 15 days, mother cultures were transferred to fresh BG-11 medium at a 1:10 inoculation ratio to maintain culture vitality. This practice helped ensure that all main cultures were initiated from physiologically consistent populations.

2.2. Anaerobic Digestion Effluent Collection and Processing

The anaerobic digestion effluent (ADE) employed in this work originated from a biogas facility (1 MWel capacity) located in Thessaloniki, Greece, which utilizes waste materials and by-products from nearby livestock farms. To determine its viability for supporting microalgal growth, a chemical characterization was performed to analyze its nutrient composition (as shown in Table 1). Initially, the ADE underwent centrifugation at 5000 rpm for 15 min to eliminate suspended solids and decrease turbidity, after which the supernatant was filtered through Whatman filters (Clifton, NJ, USA; 150 mm, Grade 1, pore size 11 μm). For further purification, the sample was subjected to ultrafiltration using a hydrophilic flat sheet membrane (type H-203, pore size 0.4 μm, Kubota, Osaka, Japan), effectively removing viruses and potentially harmful bacteria that might impede microalgal development. The treated ADE was then stored at −18 °C to preserve its chemical integrity.

2.3. Cultivations with Digestate and Different CO2 Concnetrations

C. sorokiniana was cultivated in an ADE that had been diluted (dilution factor ≈ 13.5) with sterile water to lower the elevated ammonia nitrogen content to non-toxic for microalgal growth [15,41]. To establish a nitrogen-to-phosphorus ratio (NH4:PO4) of roughly 10:1.5, potassium dihydrogen phosphate (KH2PO4) was added. The experimental setup involved 2 L Erlenmeyer flasks, each containing approximately 920 mL of culture medium and inoculated with 80 mL of pre-culture, resulting in a final volume of 1.000 mL with an initial optical density (OD680) of around 0.35, with an average pH level of 7.95 ± 0.10. Cultures were incubated at 25 ± 1 °C in uniformly lit conditions using cool white LED strips (6000 K, 7.2 W/m) delivering 108 µmol/m2/s of light, under a 16:8 h light/dark photoperiod. Aeration was maintained at 1 LPM using atmospheric air filtered through 0.2 µm Whatman PTFE syringe filters (EK-2LR, Kytola Instruments, Lahti, Finland). Controlled CO2 supplementation was provided at three flow rates—0.025, 0.050, and 0.100 LPM—regulated by precision flowmeters (FL-3845G-HVR, Omega Engineering, Norwalk, CT, USA), with all CO2 being sterilized by passage through 0.2 µm syringe filters. Each CO2 level was tested in two independent biological replicates, with analytical samples collected in triplicate per treatment. The cultivation period lasted for 19 days.

2.4. Microalgae Pre-Treatment for Composition Analysis

Biomass collected from the cultivations was centrifuged at 5000 rpm for 10 min using a Hermle Z326K centrifuge (Hermle Labor-technik, Wehingen, Germany) to separate the cells from the culture medium. The supernatant was discarded, and the concentrated biomass paste was immediately frozen prior to undergoing freeze-drying in a GAMMA 1-20 LMC lyophilizer (Martin Christ GmbH, Osterode am Harz, Germany). Lyophilization was carried out at a pressure of 0.010 bar and a temperature of −78 °C for 48 h. The resulting dried biomass was stored at −18 °C for preservation.

2.5. Analytical Measurements

2.5.1. Growth Determination and Nutrient Analysis

To assess both culture growth and nutrient uptake under each experimental condition, samples were taken at intervals of 24 to 48 h. Growth was tracked by measuring the optical density at 680 nm [42] by a UV–Vis spectrophotometer (DR 3900, HACH, Loveland, CO, USA). In parallel, biomass concentration was quantified as dry cell weight (DCW). For this, 15 mL of culture were filtered through pre-weighed glass microfiber filters (Whatman 934-AH, Piscataway, NJ, USA; pore size 1.2 μm), which were then dried at 60 °C for 24 h and reweighed using a high-precision analytical balance (XP 105, Mettler Toledo, Greifensee, Switzerland) [22,43]. Biomass dry weight was calculated using Equation (1) [44].
D C W g L = W 1 W 0 V × 100
DCW refers to the concentration of cells, with W1 indicating the combined mass of the dry cells and their supporting hollow fiber membrane (g), W0 representing the mass of the hollow fiber membrane alone (g), and V specifying the total volume occupied by the hollow fiber membrane.

2.5.2. Nutrient Analysis

Ammonium nitrogen (N-NH4) and soluble Phosphorus (P-PO4) concentrations in the filtrate’s liquid phase were quantified using standardized HACH cuvette tests, performed with a UV–Visible spectrophotometer (DR 3900, HACH, Loveland, CO, USA).

2.5.3. Lipids Determination

Lipid extraction was performed on approximately 0.2 g of freeze-dried C. sorokiniana biomass following the Bligh and Dyer method [45]. Briefly, methanol (2 mL), chloroform (1 mL), and distilled water (0.8 mL) were added in a 2:1:0.8 (v/v) ratio, and the mixture was sonicated at 20 kHz and 400 W/L for 30 min (Sonopuls UW 3400, Bandelin, Berlin, Germany). After centrifugation at 5000 rpm for 10 min, the organic phase was collected. This extraction was repeated twice to maximize lipid recovery [20,22]. Then, chloroform (3 mL) and distilled water (3 mL) were added (2.2:1.8 v/v), followed by centrifugation under the same conditions for phase separation. The lower chloroform layer containing lipids was collected, dried overnight at 60 °C, and weighed with an analytical balance (XP 105, Mettler Toledo, Greifensee, Switzerland)

2.5.4. Proteins Determination

Approximately 0.2 g of freeze-dried microalgal biomass was rehydrated in 100 mL of distilled water for protein extraction. The cells were disrupted via sonication at 20 kHz and 400 W/L for 30 min, after which the mixture was centrifuged at 10,000 rpm for 10 min at ambient temperature. The resulting supernatant was then subjected to protein quantification using the Lowry method [46]. In brief, 1 mL of the sample was combined with 5 mL of modified Lowry reagent and incubated for 10 min. Subsequently, 0.5 mL of 1 N Folin–Ciocalteu reagent was added, and the mixture was stirred and incubated for an additional 30 min. Absorbance was read at 750 nm using a UV–Vis spectrophotometer (DR 3900, HACH, Loveland, CO, USA), and protein concentration was determined based on a BSA standard curve ranging from 0 to 1500 μg/mL [44].

2.5.5. Carbohydrates Determination

The supernatants obtained from the biomass–water suspensions prepared for protein assays were also employed to assess carbohydrate content using the phenol–sulfuric acid method [47]. In brief, 1 mL of 1% (w/v) phenol and 5 mL of 96% (w/w) sulfuric acid were added to the sample. Absorbance was recorded at 483 nm using a UV–Vis spectrophotometer (DR 3900, HACH, Loveland, CO, USA). Neutral sugars were quantified as glucose equivalents based on a calibration curve prepared with D-glucose.

2.5.6. Elemental Analysis

Total nitrogen, carbon and phosphorus were assessed using a CHNS elemental analyzer (FlashSMART 1112, Thermo Fisher Scientific, Waltham, MA, USA). Approximately 2–3 mg of microalgal biomass were loaded into tin capsules and subjected to combustion at 925 °C, with pure oxygen serving as the oxidizing gas and pure helium used as the carrier gas.

2.5.7. Statistical Analysis

Each treatment was measured in triplicate, and the results are expressed as mean values ± standard deviation (SD). Statistical analyses were performed using Minitab software (version 21.4.2, Minitab LLC, State College, PA, USA). Differences among treatments were assessed via analysis of variance (ANOVA) followed by Tukey’s post hoc HSD test, considering p ≤ 0.05 as the threshold for statistical significance.

3. Results

3.1. Effect of CO2 Flow Rate on Chlorella sorokiniana Growth

A series of different CO2 flow rates (0.025 LPM, 0.050 LPM and 0.100 LPM) in mixture with air were applied to examine the effect of surplus CO2 on the growth rate of the C. sorokiniana culture. The referenced culture was supplied only with air. At the lowest CO2 flow rate (0.025 LPM), the concentration was approximately 2.5% of the supplied gases. Higher flow rates of 0.050 LPM and 0.100 LPM corresponded to concentrations of approximately 5.0% and 10%, respectively. Throughout the cultivations, the pH of the culture medium fluctuated within 7.3 ± 0.3 in all CO2-supplemented variants. In the cultivation supplied with air only, without additional CO2, the pH stabilized at 8.1 ± 0.2.
Biomass growth of C. sorokiniana is presented in Figure 1a,b, based on optical density at 680 nm (OD680) and DCW, respectively. In all cultures supplemented with CO2, the biomass growth rate was significantly higher than in the reference culture, which received CO2 only from the supplied air (~0.03–0.04%). Specifically, cultures with CO2 flow rates of 0.025 and 0.050 LPM showed OD680 values that were 41.95% and 38.37% higher, respectively, compared to the reference. A similar trend was observed in the DCW measurements. The 0.025, 0.050, and 0.100 LPM CO2 cultures produced 37.24%, 36.55%, and 21.38% more biomass, respectively, than the reference culture. Furthermore, the growth curves for both OD680 and DCW followed a similar pattern in the 0.025 and 0.050 LPM cultures, indicating comparable and consistently enhanced biomass production at these CO2 levels.
Changes in CO2 concentration were found to be critical for the productivity of C. sorokiniana in the study of Do Thi et al. [38] and Gabrielyan et al. [39]. Similarly, Montoya-Vallejo et al. [20] achieved high growth rates of the microalga C. sorokiniana with a CO2 supply of 10% (0.100 LPM), compared to low CO2 provided exclusively from the supplied air. In the same study, a CO2 concentration of 20% (0.200 LPM) resulted in a significantly higher biomass productivity than in the absence of exogenous CO2 supply but not compared to the 10% CO2 supply which resulted in reduced productivity.
Similar results are supported by studies on other microalgae as well. In particular, Khan et al. [48] in a study using two strains of the species Dictyosphaerium sp. concluded that the growth rate for both microalgal strains increased with CO2 supplementation. A CO2 concentration of 4% led to increased biomass production compared to 2% or to CO2 provided only through the supplied air (0.03–0.04%). Chlorella vulgaris, even at extreme CO2 concentrations, not only showed increased biomass yield, but also exhibited a protective effect on the photosynthetic mechanism from photoinhibition and photodamage. In the same study, the inhibitory effects of CO2 occurred at concentrations of 60% and above, corresponding to 0.84 LPM CO2, with the optimal growth rate of cultivation occurring at CO2 concentrations between 30 and 40% or between 0.42 and 0.56 LPM CO2 [49]. Similarly, Li et al. [50] reached similar conclusions, albeit with much lower CO2 concentrations. They reported that the optimal growth rate was observed at a CO2 concentration of 5% or 0.01 LPM, compared to concentrations of 0.04% (0.0004 LPM), 2% (0.004 LPM), 10% (0.02 LPM), and 15% (0.03 LPM).
The optimal CO2 concentration range for microalgae cultivation is likely species-dependent, and excessive levels may result in reduced productivity or even inhibitory effects. In this study, C. sorokiniana cultures grown under CO2 flow rates of 0.025 and 0.050 LPM achieved the highest biomass productivity, with mean DCW values of 0.1047 and 0.1042 g/L/day, respectively. These values did not differ significantly from each other, indicating comparable performance. In contrast, the 0.100 LPM CO2 supply led to a lower biomass yield (0.0992 g/L/day), although still higher than that of the control culture supplied only with ambient air (0.0763 g/L/day).

3.2. Effect of CO2 Flow Rate in the Macronutrient and Vital Elements Concentration of Biomass

The chemical composition of microalgae can vary considerably when they are cultivated under different environmental conditions [51,52,53]. In many microalgae, lipids are the most responsive macronutrient to environmental stress, particularly nutrient limitation. However, aside from lipids, microalgae also contain carbohydrates and proteins, and any shift in one of these components typically correlates with adjustments in the others [54]. Also, as the cultivation process advances, the levels of specific macronutrients within the biomass undergo alterations [55]. To monitor these variations, macronutrient levels of C. sorokiniana cells were measured on the first, tenth, and the last day of the cultivation series.
Figure 2 shows the macronutrient (carbohydrates, proteins and lipids), nitrogen and carbon content of C. sorokiniana cells during cultivation with different concentrations of CO2. Carbohydrates showed a slight increase, but no statistical difference was observed in their concentration over time. Their levels were not affected by CO2 supply across all cultivation series. Similar results were reported by Mortensen and Gilserød, where the starch concentration of C. sorokiniana was unaffected by increased CO2 levels, while a change from artificial light to daylight led to a significant increase in starch concentration from 1.5% to 6% [56]. Moreover, Sun et al. reported that elevated CO2 levels during the cultivation of C. sorokiniana, activated carbohydrate pathways, are likely to provide precursors (pyruvate and acetyl-CoA) for triacylglycerol (lipids) synthesis [57]. Higher lipid concentrations were observed in the cultures supplied with 0.025, 0.050 and 0.100 LPM CO2 and this will be discussed further in this section below.
In other microalgae species, the literature reports an increase in carbohydrate content with CO2 supply. For instance, increasing the CO2 concentration in Parachlorella kessleri cultures raised the carbohydrate content of the biomass from 33.7% to 44.2% [58]. Similarly, Patil and Kaliwal [59] observed a significant increase in the carbohydrate content of Scenedesmus bajacalifornicus biomass under high CO2 supply, reporting a fourfold increase from 6.88% to 26.19%. However, in C. sorokiniana cultivations no statistically significant effect on biomass carbohydrate content was observed from the interaction between cultivation duration and CO2 supply (Figure 2).
The protein content in the biomass of the microalgae C. sorokiniana was initially 31.1 ± 1.9%. Over time, it exhibited a declining trend across all cultivations. Statistically significant differences were observed only in the cultures supplied with 0.050 and 0.100 LPM of CO2. In these two cultures, the protein content decreased significantly by approximately 11% after 10 days. However, a total reduction of about 27% from the initial protein content was recorded only in the culture supplied with 0.100LPM of CO2. Similar results were reported by Varshney et al., showing that the protein content in C. sorokiniana cells decreased over time during cultivation with different CO2 concentrations (0.04%, 5%, 10%, and 15%) [60]. However, different results presented by Cecchin et al. showed that a 2.5% CO2 supply significantly increased protein levels during the cultivation of C. sorokiniana when compared to air supply [60]. Cultivation of C. sorokiniana with a higher CO2 supply (0.050 and 0.100 LPM) led to a reduction in protein levels over time, likely due to nutrient depletion (e.g., nitrogen or phosphorus) that channeled the excess carbon from CO2 into lipid production [60].
Contrary results were obtained for lipids. Both CO2 supply and the duration of cultivation favored lipid synthesis in microalgal biomass. The highest lipid production after 19 days, compared to the initial lipid content, was observed in the culture with 0.500 LPM CO2 (20%), followed by those with 0.025 LPM (17%) and 0.100 LPM (14%). A possible cause for the variation in lipid content under different CO2 supplies is the induction of metabolic and functional changes in microalgal biomass, converting high CO2 levels into biomass with higher lipids content [61]. A previous study by Sun et al. [57] demonstrated that increased CO2 supply enhances lipid composition by enhancing the biosynthesis of Acetyl-CoA. Similar results, such as increased lipid content in the presence of high CO2 concentrations, were also observed in C. vulgaris, reaching up to a 19% increase. The researchers attributed this increase to the cells’ attempt to adapt to the stress caused by the high CO2 concentration [61]. Similarly, in another study, CO2 supply at a concentration of 2.6% significantly increased the lipid content of C. vulgaris microalgal biomass, along with a marked rise in Acetyl-CoA concentration [37].
The total nitrogen content in the C. sorokiniana biomass showed a decreasing trend over time across all cultures (Figure 2). On the first day of the experiment, nitrogen content was measured at 7.13 ± 0.07%. Statistically significant differences were observed only in cultures supplied with CO2. Specifically, after 10 days, the total nitrogen content had decreased by approximately 7% in the culture with 0.025 LPM CO2, and by about 12% in the cultures with 0.050 and 0.100 LPM CO2. By the end of the experiment, the total nitrogen reduction in the 0.100 LPM CO2 culture had reached around 27% compared to the initial value, indicating a strong relationship between increased CO2 supply and reduced nitrogen content in C. sorokiniana biomass. In the other CO2-supplemented cultures, the nitrogen content at the end of the experiment (day 19) had decreased by about 11% and 13% for 0.025 LPM and 0.050 LPM CO2, respectively. A possible explanation for this trend—namely, the reduced N-NH4 fixation by microalgae grown under high exogenous CO2 supply, despite an increased dry cell weight and, consequently, a higher cell population compared to cultures without exogenous CO2—is that CO2 enhances the activity of the enzyme ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) [62]. An increase in this enzyme has been shown to reduce nitrogen use efficiency [63]. Therefore, the additional nitrogen taken up, as a fundamental structural component of proteins, was utilized for protein formation [9]. This trend was also reflected in the nitrogen and protein content of the biomass under the various cultivation conditions. The average nitrogen-to-protein (N-protein) conversion factor was calculated as 4.51, which aligns well with values reported in the literature for microalgae grown under a range of environmental conditions (4.78) [64].
The initial total carbon content in the biomass of C. sorokiniana was 41.29 ± 0.78%. Over time, the carbon content showed an increasing trend, reaching its peak under a CO2 supply rate of 0.025 LPM (Figure 2). Statistically significant differences were observed among all cultivation conditions. The culture supplied with air showed the smallest increase, with carbon content rising by 6.6% on day 10 and 5.5% on day 19. The maximum carbon composition was recorded in the culture with 0.050 LPM CO2, reaching 20% and 24% increases after 10 and 19 days, respectively. In the culture with 0.025 LPM CO2, carbon content increased by approximately 25% on day 10, but decreased to 20% by the end of cultivation. The cultivation of C. sorokiniana significantly increased the total carbon content, as expected due to the external CO2 supply. However, the highest carbon accumulation was not observed at the maximum CO2 supply rate, but rather at 0.050 LPM.
Figure 3 presents the final concentrations of carbohydrates, proteins, and lipids within the microalgal cells after 19 days of cultivation under different CO2 supply conditions. The carbohydrate content showed no significant differences among the various cultures and appeared unaffected by the additional CO2 supply. In contrast, the protein and lipid contents exhibited noticeable changes. Specifically, protein concentrations decreased with increasing CO2 flow rates. The culture supplied with 0.100 LPM CO2 exhibited the lowest protein content, compared to the culture that received only ambient air. On the other hand, lipid concentrations increased in all cultures that were supplemented with CO2, indicating a positive correlation between CO2 enrichment and lipid accumulation in the microalgal biomass. The present findings indicate an inverse relationship between lipid and protein content, implying that lipid accumulation may primarily result from protein degradation or suppression of protein synthesis [9].

3.3. Effect of CO2 Flow Rate on the Nutrients Removal

Contrary to the old belief that liquid waste is a source of pollution, the goal is now to add value to liquid waste, not only through their de-pollution but also through the recovery of resources from it [31]. Microalgae have demonstrated enormous potential for bioremediation of industrial wastewater [9]. Microalgae-based treatment systems can efficiently remove phosphorus and nitrogen with efficiencies of up to 75% [2,4,54]. Microalgae exhibits a strong preference for assimilating ammonium nitrogen, as its uptake demands less energy [65]. Before being incorporated into biomass, alternative nitrogen forms must first be transformed into ammonium inside the cells, which demands additional energy [51].
Figure 4 illustrates the reduction in N-NH4 content from ADE through uptake by C. sorokiniana cells, analyzed as a function of cultivation time under four different CO2 supply conditions. ADE had an initial concentration of N-NH4 of about 115 mg L−1 and P-PO4 of about 16 mg L−1. After cultivation of C. sorokiniana in ADE for 19 days, under different amounts of CO2 supply, showed that the reduction in ammonium from the effluent was highest in the reference cultivation with air supply, removing 90.3% of the initial nitrogen as N-NH4, compared to 73.3%, 73.0% and 60.7% in conditions with 0.025 LMP, 0.05 LPM and 0.100 LPM CO2, respectively. Similarly, Hena et al. [66] achieved complete removal of N-NH4 from dairy wastewater using Chlorella strains. A possible explanation for the increased uptake of N-NH4 by microalgae growing without exogenous CO2 supplementation, despite a reduced dry cell weight and a smaller cell population, is that CO2 enhances the activity of the enzyme RuBisCO, which accelerates the photosynthetic process [62]. Similarly, reducing the RuBisCO enzyme improves nitrogen use efficiency [64]. Therefore, the decreased activity of this specific enzyme in absence of exogenous CO2 supply probably explains the increased nitrogen usage by the culture, aimed at its growth.
Additionally, other abiotic mechanisms such as nutrient volatilization and precipitation may also contribute to nutrient removal. During photosynthesis, microalgae consume CO2, which can increase the culture’s pH [67] and promote the conversion of NH4+ to volatile NH3, thereby reducing nitrogen availability [68]. However, this effect was likely negligible under our conditions. At the recorded pH of 8.13 (in the absence of exogenous CO2), the equilibrium favors NH4+ over NH3, resulting in only minimal volatilization [69]. Volatilization and precipitation of nutrients become significant mainly at higher pH values (9–11), supporting the minimal volatilization observed at the pH measured in our study. This conclusion is further reinforced by the comparable consumption rates of NH4+ and PO43− in this treatment, suggesting that nitrogen loss through volatilization did not occur to a significant extent.
Figure 5 illustrates the time-dependent reduction in P-PO4 from ADE. Regarding the removal of phosphorus from the wastewater, it did not appear to be affected by the additional CO2 supply, removing in all conditions between 95.8% and 96.6% of P-PO4. Depending on the selected microalgae species, the duration, and the cultivation environment, up to 70% of the organic load and 90% of the inorganic load can be removed from the initial levels, respectively [70,71]. Specifically, it was reported that Navicula sp. removed 80% of N-NH4 and 70% of P-PO4 from contaminated streams [2].
Figure 6 illustrates the rates of N-NH4 and P-PO4 assimilation normalized to biomass, expressed in mg of nutrients per gram of cells over time. As demonstrated in Figure 1, the intensity of CO2 supply affects biomass accumulation. Therefore, a more accurate interpretation of nutrient assimilation rates requires accounting for the corresponding biomass concentration [55]. The highest rates of N-NH4 and P-PO4 uptake were recorded during the early days of cultivation, likely due to the abundance of nutrients and the low biomass present. As the culture developed and cell density increased, the assimilation rate per unit biomass progressively decreased. This observation indicates that the impact of CO2 on nutrient uptake is largely mediated by its effect on biomass productivity rather than direct alterations in cellular metabolism. Similar findings were reported by Palikrousis et al. [44] and Delgadillo-Mirquez et al. [72], who noted that microalgal nutrient assimilation is more closely linked to biomass production than to light availability. Nonetheless, Figure 6 shows that the pattern of nutrient assimilation per unit dry biomass was consistent across all CO2 treatments, suggesting that CO2 concentration did not substantially modify the mechanism by which nutrients were incorporated into the cells.

4. Conclusions

This study primarily aimed to examine how CO2 supply influences the cultivation of C. sorokiniana in biogas plant effluent, with the objective of determining the conditions that maximize biomass production, enhance nutrient removal from the liquid phase, and generate cells with a targeted composition. The key conclusions drawn from the results are as follows: (1) The optimal conditions for high growth and biomass production of C. sorokiniana were achieved under moderate CO2 supply levels, with the two most effective flow rates showing no significant difference in performance. A higher CO2 flow rate resulted in slightly reduced productivity, while cultures without additional CO2 showed clearly limited growth, confirming that insufficient carbon availability is a major constraint for microalgal cultivation. The greatest average productivity occurred at a CO2 supply of 0.025 LPM, which was not statistically different from the 0.050 LPM condition, suggesting similar efficiency. By contrast, supplying CO2 at 0.100 LPM resulted in lower productivity, though it remained above the level recorded in the control without CO2 supplementation. (2) The chemical profile of C. sorokiniana biomass was influenced by CO2 supply, indicating that adjusting the CO2 flow rate can steer the biomass toward a preferred composition. Over the course of cultivation, lipid and carbohydrate levels increased, while protein content declined correspondingly. A similar effect was observed regarding CO2 supply, although it did not result in statistically significant changes in carbohydrate levels. An interaction between culture duration and CO2 supply was observed only in the lipid content. (3) CO2 influenced the rate of nutrient assimilation in ADE and had a negative impact on the N-NH4 removal rate, depending on the CO2 levels. More efficient N-NH4 removal was observed in the absence of CO2 supply, with a direct negative relationship between the removal rate and CO2 levels. Regarding phosphorus removal, CO2 supply levels appeared to have no effect on the rate of phosphorus assimilation. (4) The influence of CO2 concentration on ADE nutrient assimilation was primarily mediated by its impact on biomass productivity. These findings support the potential for improved biomass yields in large-scale microalgal cultivation when ADE with suitable chemical characteristics is used as the nutrient source.
Future research could consider developing indigenous algae–bacteria consortia adapted to the challenging conditions of full-strength ADE. Such synergistic systems have demonstrated enhanced nutrient removal, biomass productivity, and tolerance to pollutants compared to monocultures, through mutual metabolic interactions and coordinated O2/CO2 exchange [73]. Selecting native strains pre-adapted to ADE conditions may optimize consortia performance and enable more efficient treatment of nutrient-rich and inhibitory waste streams.

Author Contributions

Conceptualization, P.S.; methodology, T.L.P. and P.S.; validation, S.D.K.; formal analysis, S.D.K.; investigation, T.L.P.; resources, P.S.; data curation, T.L.P.; writing—original draft preparation, T.L.P. and S.D.K.; writing—review and editing, T.L.P., S.D.K. and P.S.; visualization, S.D.K. and P.S.; supervision, P.S.; project administration, P.S.; funding acquisition, P.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was mainly funded by the European Union’s Horizon under “Accelerating the sustainable production of advanced biofuels and RFNBOs-from feedstock to end-use” project (Project Code 81053), which is funded by the European Climate Infrastructure and Environment Executive Agency (CINEA) under the program number 101118286 and the project acronym FUELPHORIA of the HORIZON-CL5-2022-D3-02 project, funded by the European Union. The views and opinions expressed are, however, those of the authors only and do not necessarily reflect those of the European Union or CINEA. Neither the European Union nor CINEA can be held responsible for them.

Data Availability Statement

The data presented in this study are available on request from the corresponding author due to confidentiality agreements.

Acknowledgments

The authors acknowledge the contribution of Christos Manolis in the preparation of cultures and samples for analysis.

Conflicts of Interest

The authors declare no conflicts of interest.

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Figure 1. Effect of CO2 flow rate supply on C. sorokiniana: (a) optical density (OD680 nm); (b) DCW both as a function of cultivation time.
Figure 1. Effect of CO2 flow rate supply on C. sorokiniana: (a) optical density (OD680 nm); (b) DCW both as a function of cultivation time.
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Figure 2. Effect of CO2 flow rate supply on macronutrient, total nitrogen and total carbon cellular composition of C. sorokiniana (% of Dry Weight depended on the cultivation time, in four different CO2 concentrations: Air, 0.025, 0.050 and 0.100 LPM. Different letters show statistically significant differences in a specific group (carbohydrates, proteins, lipids, total nitrogen or total carbon) in three periods (0-day, 10th day and 19th day of cultivation).
Figure 2. Effect of CO2 flow rate supply on macronutrient, total nitrogen and total carbon cellular composition of C. sorokiniana (% of Dry Weight depended on the cultivation time, in four different CO2 concentrations: Air, 0.025, 0.050 and 0.100 LPM. Different letters show statistically significant differences in a specific group (carbohydrates, proteins, lipids, total nitrogen or total carbon) in three periods (0-day, 10th day and 19th day of cultivation).
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Figure 3. Cellular composition of C. sorokiniana cells in carbohydrates, proteins, and lipids after 19 days of cultivation. Different letters show statistically significant differences in a specific group (carbohydrates, proteins, or lipids between different CO2 flow rate supplies (Air, 0.025 LPM, 0.050 LPM and 0.100 LPM of CO2)).
Figure 3. Cellular composition of C. sorokiniana cells in carbohydrates, proteins, and lipids after 19 days of cultivation. Different letters show statistically significant differences in a specific group (carbohydrates, proteins, or lipids between different CO2 flow rate supplies (Air, 0.025 LPM, 0.050 LPM and 0.100 LPM of CO2)).
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Figure 4. Effect of different CO2 supply rates on ammonia nitrogen removal by C. sorokiniana as a function of cultivation time and light intensity.
Figure 4. Effect of different CO2 supply rates on ammonia nitrogen removal by C. sorokiniana as a function of cultivation time and light intensity.
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Figure 5. Effect of different CO2 supply rates on phosphorus removal by C. sorokiniana as a function of cultivation time and light intensity.
Figure 5. Effect of different CO2 supply rates on phosphorus removal by C. sorokiniana as a function of cultivation time and light intensity.
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Figure 6. Effect of different CO2 supply rates on: (a) N-NH4; and (b) P-PO4 removal per DCW mass as a function of cultivation time and CO2 supply.
Figure 6. Effect of different CO2 supply rates on: (a) N-NH4; and (b) P-PO4 removal per DCW mass as a function of cultivation time and CO2 supply.
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Table 1. Chemical composition of raw ADE.
Table 1. Chemical composition of raw ADE.
ParametersBefore DilutionAfter Dilution
COD (mg L−1)6523 ± 34.00481 ± 3.00
TN (mg L−1)2097.6 ± 12.50155.7 ± 2.10
N-NH4 (mg L−1)1719 ± 12.24127.3 ± 1.80
N-NO3 (mg L−1)63.2 ± 3.315.0 ± 0.30
N-NO2 (mg L−1)3.18 ± 0.12<0.60
P-PO4 (mg L−1)19.8 ± 0.371.53 ± 0.20
pH8.31 ± 0.208.11 ± 0.12
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Palikrousis, T.L.; Kalamaras, S.D.; Samaras, P. Effect of Carbon Dioxide on the Growth and Nutrient Uptake of the Microalgae Chlorella sorokiniana from Digestate. Water 2025, 17, 2674. https://doi.org/10.3390/w17182674

AMA Style

Palikrousis TL, Kalamaras SD, Samaras P. Effect of Carbon Dioxide on the Growth and Nutrient Uptake of the Microalgae Chlorella sorokiniana from Digestate. Water. 2025; 17(18):2674. https://doi.org/10.3390/w17182674

Chicago/Turabian Style

Palikrousis, Thomas L., Sotirios D. Kalamaras, and Petros Samaras. 2025. "Effect of Carbon Dioxide on the Growth and Nutrient Uptake of the Microalgae Chlorella sorokiniana from Digestate" Water 17, no. 18: 2674. https://doi.org/10.3390/w17182674

APA Style

Palikrousis, T. L., Kalamaras, S. D., & Samaras, P. (2025). Effect of Carbon Dioxide on the Growth and Nutrient Uptake of the Microalgae Chlorella sorokiniana from Digestate. Water, 17(18), 2674. https://doi.org/10.3390/w17182674

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