Next Article in Journal
Multi-Criteria Prioritization of Watersheds for Post-Fire Restoration Using GIS Tools and Google Earth Engine: A Case Study from the Department of Santa Cruz, Bolivia
Previous Article in Journal
A Machine Learning-Based Framework for Water Quality Index Estimation in the Southern Bug River
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Impact of Natural Microorganisms on the Removal of COD and the Cells Activity of the Chlorella sp. in Wastewater

1
Guangzhou Higsher Education Mega Centre, School of Environment & Energy, South China University of Technology, Guangzhou 510006, China
2
The Key Laboratory of Pollution Control and Ecosystem Restoration in Industry Clusters of Ministry of Education, Guangzhou 510006, China
3
Guangdong Provincial Key Laboratory of Solid Wastes Pollution Control and Recycling, Guangzhou 510006, China
4
Guangdong Provincial Engineering and Technology Research Center for Environmental Risk Prevention and Emergency Disposal, Guangzhou 510006, China
5
Guangdong Suchun Environmental Protection Technology Co., Ltd., Dongguan 523000, China
*
Author to whom correspondence should be addressed.
Water 2023, 15(20), 3544; https://doi.org/10.3390/w15203544
Submission received: 21 August 2023 / Revised: 2 October 2023 / Accepted: 9 October 2023 / Published: 11 October 2023

Abstract

:
In the treatment of wastewater containing only chemical oxygen demand (COD) by Chlorella sp., the cell activity and proliferation ability of Chlorella sp. decreased with the culture time, which affected the removal of COD in wastewater. To solve these problems, the Chlorella sp.–natural microorganism symbiosis system was prepared. The system was used to explore how natural microorganisms affect the cell activity and the proliferation ability of Chlorella sp. in wastewater. In the treatment of COD by Chlorella sp., the removal rate of COD decreased from 45.47% to 28.88%, with a decrease in the cell activity and proliferation ability of Chlorella sp. In the Chlorella sp.–natural microorganism symbiotic system, the removal rate of COD reached 45.75%. With the introduction of natural microorganisms, the circulation of CO2 and O2 between Chlorella sp. and natural microorganisms promoted photosynthesis and respiration, which enhanced the cell activity of Chlorella sp. Under the condition that the dosage of natural microorganisms was between 1% and 6%, the concentration of Chlorella sp. was close to the logarithmic growth phase, which maintained the proliferation ability of Chlorella sp. At the same time, the natural microorganisms grew and proliferated in wastewater containing only COD through preying on Chlorella sp.

1. Introduction

In recent years, the breeding industry of China has grown dramatically [1], and China has become the largest meat consumer around the world [2]. The amounts of various pollutants produced during livestock farming has increased. A large quantity of animal feces [3], animal medicine, flushing wastewater and slaughtering wastewater [4] accumulate in the livestock and poultry breeding wastewater. These pollutants put great pressure on the human living environment. Various indicators need to be paid attention to in the wastewater treatment process, especially high concentrations of chemical oxygen demand (COD) [5,6].
Different technologies have been used in the treatment of COD, including membrane treatment, flocculation process, electrochemistry, advanced oxidation method and microbial treatment [7,8,9,10,11]. The microbial method has been valued because of its low input, high energy recovery and no secondary pollution. Chen et al. used a lab-scale up-flow anaerobic sludge blanket (UASB) to obtain the removal rates of TN and COD, which were about 85% and 56.5% in the breeding wastewater [12]. In the treatment, the C/N was an important influencing factor. Chen et al. operated the moving bed biofilm reactor (MBBR) for breeding wastewater, which also confirmed this view [13]. The study of airlift MBBR showed that the mechanisms of COD removal were oxidation and microbe proliferation, and the removal rate was 50.5% [14]. In this process, COD is converted into carbon dioxide, water and the component of microorganisms. In the sequential batch reactor (SBR), the food-to-microorganism ratio showed an important effect under different COD concentrations of the high-strength organic wastewater [6]. Algae have the advantages of photosynthesis to produce oxygen, no need for external aeration and can produce high-value lipids, so their application in wastewater treatment has attracted great attention [15,16]. The COD, BOD, TN and TP were removed by Chlorella sorokiniana AK-1 in piggery wastewater with the removal rates of 95.7%, 99%, 94.1% and 96.9%, respectively [17]. Most of the organic matter was converted to microalgal biomass [18]. This can be used for the generation of bioenergy [19]. However, the algae system still has many drawbacks when dealing with high concentrations of wastewater. The removal of N and P, COD, BOD and heavy metals was researched in the microalgae treatment for technology optimization, the performance showing that immobilization may be a new way to develop algae applications [20]. The removal of COD by Chlorella sp. could obtain a higher removal rate, but the long-term cultivation and proliferation of algae led to a decrease in algae activity in the culture solution and wastewater. The system of microalgae–bacteria was the new choice to improve the removal rate. However, the influences of algae activity and the new system have been less studied in wastewater treatment.
Microalgae and other microorganisms can coexist in wastewater. Microalgae absorb carbon dioxide and organic pollutants through photosynthesis, release oxygen and produce organic matter that makes up algal cells for growth and reproduction. Bacteria consume oxygen and organic matter through respiration at the same time. The cycle of carbon dioxide and oxygen can be achieved between the algal and bacteria. The algal and bacteria work together to improve the ability to treat wastewater [21]. Under light conditions, the algal–bacterial granular sludge system was prepared in SBR, the lipid content increased significantly with the growth of the algae and partial nitrification was achieved by the bacteria [22]. Algae, anaerobic microorganisms and aerobic sludge coexist in biofilm reactors to achieve biomass growth and the removal of organic matter [18]. The use of sodium alginate (SA) immobilized the algae–bacteria system, and the use of sodium hypochlorite to pretreat wastewater can improve the growth environment of microorganisms, thereby increasing the removal rate of pollutants, but excessive sodium hypochlorite will affect the activity of microorganisms [23]. Different sizes of culture vessels have different effects on the process of algae–bacteria symbiosis treatment of nitrogen, and open containers will introduce natural microorganisms from the surroundings [24]. The new microorganisms can affect the removal effect of wastewater, and the new system may be stronger than the treatment ability of the original microbial flora [24,25].
Microalgae play important roles in water environment, but large amounts of algae can produce a series of harmful secretions, excretions and microbial debris. All of these will change the pH, disrupt the balance of the microbial community and harm the water environment. In order to effectively control the disorderly growth of algae, different technologies are used in the treatment of algae cell removal. Immersed microfiltration membranes removed more than 99% of algal cells after 180 min [26]. The problems of fouling and material reuse in the physical filtration limit the application of the membrane method. Ma et al. prepared a novel covalently bonded coagulant, CAMF, and the CAMF0.6 removed more than 96% chla at the dosage of 40 mg/L [27]. The flocculation in the physicochemical method receives an excellent removal rate with less material input but may produce secondary pollution. Advanced oxidation has played a great role in the removal of algae. Chen et al. prepared CeMOFs to oxidize algae, and the removal ability reached 1.04 × 107 cells/mg by the new nano-superstructure MOFs with high efficiency and selectivity [28]. In the algae treatment by ozone microbubble-enhanced air flotation technology, Wang et al. demonstrated a good effect by the mechanisms of flocculation adhesion and oxidation [29]. After the microalgae are oxidized, the cell concentration is greatly reduced, and no new pollutants appear in the wastewater. However, the prices of various oxidizing materials limit the feasibility of large-scale applications of oxidation methods. Compared to other methods, the use of biological competition to control algae is worth investigating [30]. Biological methods of algae removal include direct invasion by other microorganisms, the effects of plants extracts and the destruction of toxic substances [31]. The biological methods are more eco-friendly than other methods, with no secondary pollution. Microorganisms can survive in water for a long time due to their own growth rules, so microbial treatment can ensure that the algae concentration is at a low level for a long time. The acquisition of microorganisms is relatively simple, the source is varied and the best result can be obtained with low input, so it can be applied in large-scale processing.
The aims of this paper are (1) the preparation of a Chlorella sp.–natural microorganism’s symbiotic system through the introduction of natural microorganisms from the environment, (2) the determination of the effects of Chlorella sp. culture time and extraction concentration on Chlorella sp. cell activity and proliferation capacity, and the enhancement of the cell activity of Chlorella sp. by using Chlorella sp.–natural microorganism’s symbiotic system and (3) the control of the cell concentration of Chlorella sp. through the predatory action of natural microorganisms.

2. Materials and Methods

2.1. Microorganisms and Culture Conditions

Chlorella sp. (FACHB-28) and BG-11 medium were obtained from the Freshwater Algae Culture Collection at the Institute of Hydrobiology (FACHB), National Aquatic Biological Resource Center, Wuhan, China. The Chlorella sp. cell concentration was more than 1.00 × 107 cell/mL. The culture medium was BG-11 medium. The Chlorella sp. was cultivated in a 250 mL triangular flask in a constant temperature light incubator (Huangshi Hengfeng Medical Equipment Co., Ltd., Huangshi, China). The light source was an energy-saving lamp, and the light intensity was 2000 Lux and on a 12 h:12 h light:dark cycle; the temperature was set to 25 °C, and the flask was shaken evenly twice a day.
Firstly, isolate the air to cultivate the Chlorella sp., recorded as the seal group. Secondly, expose the culture solution to air, recorded as groups I and II. Compare the effect of external air on Chlorella sp. growth and reproduction. Finally, 100 mL of Chlorella sp. solution was configured, recorded as groups III and IV, and the growth curve of Chlorella sp. was plotted. The difference between I, II, III and IV was the initial concentration of Chlorella sp. (I: 1.35 × 106 cell/mL, II: 2.35 × 106 cell/mL, III: 1.01 × 106 cell/mL and IV: 2.82 × 106 cell/mL)
Natural microorganisms were introduced from the environment, and after the concentration was stable around 5.60 × 106 cell/mL, the cells were stored in 1000 mg/L COD solution.

2.2. Cyclic Culture of Chlorella sp.

When the cell concentration of Chlorella sp. reached the standard concentration (1.60 × 107 cell/mL) in BG-11, the cell solution was extracted for centrifugation concentration, and then, the cells were added to the wastewater. The dosage was recorded as the solution volume ratio. The cell concentration in BG-11 was diluted due to the new BG-11 supplementation, and Chlorella sp. continued to divide and proliferate. By repeating the operation, new Chlorella sp. cells were continuously obtained.

2.3. Wastewater Treatment

The wastewater was designed to simulate the concentrations of COD in breeding wastewater. The concentrations of COD in most real breeding wastewater are between 500 and 5000 [11,12,17,32]. In this study, 2000 mg/L COD was obtained using glucose (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China). The microorganisms solution was centrifuged at 3000 r/min for 10 min to obtain the cells, and then, the cells were added into the COD wastewater. The dosages of microorganisms in wastewater were recorded as the volume ratio of the solution.
All treatments were performed in 250 mL Erlenmeyer flasks, with 100 mL of COD wastewater as described. The COD removal experiments in wastewater by microorganisms were carried out at room temperature (25 ± 0.5 °C). The light source was an energy-saving lamp, the light intensity was 2000 Lux and the light incubator was set to a 12 h:12 h light:dark cycle. The Erlenmeyer flasks were shaken evenly twice a day. The experiments were performed under conditions as follows (the standard concentration (100% [v/v]) of Chlorella sp. was 1.60 × 107 cell/mL, and the standard concentration (100% [v/v]) of the natural microorganisms was 5.60 × 106 cell/mL): (1) wastewater containing 10%, 20% and 30% (v/v) cells of Chlorella sp.; (2) wastewater containing 30% (v/v) cells of Chlorella sp. from different batches; (3) wastewater with 1000 mg/L and 2000 mg/L COD containing 1%, 2% and 3% (v/v) cells of natural microorganisms and (4) wastewater containing both Chlorella sp. and natural microorganisms. In the treatment of wastewater by Chlorella sp. and natural microorganisms, the dosages of the natural microorganisms were 1%, 3% and 6% (v/v), respectively, and the dosages of Chlorella sp. were 30%, 60%, 100% and 200% (v/v), respectively. The dosages of Chlorella sp. from BG-11 were recorded as 30% BG and 60% BG, while the others were from the wastewater containing COD only. The experiments lasted 7 days, and samples were collected at 1 day intervals; at the same time, the microorganisms were counted.

2.4. Analytical Methods

2.4.1. Microorganisms Growth

A hemocytometer (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China) were used to determine the biomass changes in Chlorella sp. and the natural microorganisms. Count the cells on the five medium lattices of the hemocytometer and calculate the cell concentration using Equation (1):
C = ( l 1 + l 2 + l 3 + l 4 + l 5 ) × 5 × 10000   ( cell / mL )
where li is the number of cells in the middle lattice i.
The cell characteristics of Chlorella sp. and natural microorganism were observed using microscopes.

2.4.2. COD Concentration

All the wastewater samples were filtered through a cellulose acetate membrane filter (0.22 μm). Pipette 3 mL of the liquid to be measured into the cuvette tube, and add 1 mL of 10% (v/v) H2SO4 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China), 3 mL of digestion solution (9.80 g/L K2Cr2O4 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China), 50.0 g/L Kal(SO4)2 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China), 10.0 g/L (NH4)2MoO4 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China), 200 mL/L H2SO4 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China)) and 5 mL catalyst (8.8 g Ag2SO4/L H2SO4 (Shanghai Aladdin Biochemical Technology Co., Ltd., Shanghai, China)). Put the mixture in the XJ III digestion device (Shaoguan Tomorrow Environmental Protection Instrument Co., Ltd., Shaoguan, China), and set the temperature to 160 °C, with 25 min of digestion. The COD concentration is then determined in a spectrophotometer (visible spectrophotometer 752 N from Shanghai INESA Analytical Instrument Co., Ltd., Shanghai, China) set to 600 nm. The COD removal rate was calculated by Equation (2):
μ = COD t 0 COD t 7 COD t 0 × 100 %
where μ is COD removal rate, CODt0 is the initial COD concentration in the wastewater and CODt7 is the 7th day COD concentration in the wastewater.

2.4.3. Impact of Chlorella sp. Concentrations on the COD Removal Rate

To quantify the relationship between the Chlorella sp. concentrations and COD removal rates, plot the curve of the Chlorella sp. concentrations and COD removal rates for the 7th day. The logarithm of the Chlorella sp. concentration was the x-axis, and the negative logarithm of the COD removal rate was the y-axis.

2.4.4. Impact of Extraction Concentrations on Chlorella sp. Proliferation Multiples

To quantify the relationship between the Chlorella sp. concentrations in BG-11 and proliferation multiples in the wastewater, plot the curve of the Chlorella sp. extraction concentrations and proliferation multiples for the 7th day. The Chlorella sp. extraction concentration from BG-11 was the x-axis, and the cell proliferation multiples in the wastewater were the y-axis. Origin 2023 was used for all data analysis.

3. Results and Discussion

3.1. Chlorella sp. Culture

In order to obtain Chlorella sp. cells and plot the growth curve of Chlorella sp., the Chlorella sp. was proliferated and cultured. In order to confirm the effect of air on the growth of Chlorella sp., the Chlorella sp. was cultured under two conditions: closed and open. After obtaining the growth curve of Chlorella sp., the precise concentration and proliferation factor were determined by diluting the Chlorella sp., and the standard concentration of the Chlorella sp. was accurate.
As shown in Figure 1A, the concentration of the Chlorella sp. in seal conditions was decreased; however, group I and group II in the open conditions were increased significantly from the 16th day. The concentrations of the Chlorella sp. increased faster in the open conditions by four to six times. It can be seen in Figure 1B,C that the proliferation multiples of Chlorella sp. varied between 1.00 and 2.00 (The proliferation multiples on the ith day were the ratio of the cell concentration on the ith day to day i-1th) during the process of the concentrations from 1.01 × 106 cell/mL and 2.82 × 106 cell/mL to 1.60 × 107 cell/mL. The difference between the two plots was due to the difference in the initial concentration of Chlorella sp. The higher the initial concentration, the faster the Chlorella sp. proliferates. There were maximums on the multiplier curve. The two peaks in group III corresponded to concentrations of 1.51 × 106 cell/mL and 4.50 × 106 cell/mL on the 3rd and 5th days (day i-1th), respectively. The peak in group IV corresponded to 6.97 × 106 cell/mL on the 3rd day.
Under the opening condition, the gas exchange between the air and the wastewater was sufficient, and this indicated that external oxygen and carbon dioxide [33] were required during the cultivation of Chlorella sp. The concentration of the Chlorella sp. raw solution was about 1.40 × 107 cell/mL. The concentration of 1.60 × 107 cell/mL with the proliferation multiples of 1.15–1.35 indicated that it was close to the stable stage. And the concentration of 1.60 × 107 cell/mL was used as the counting standard (100% (v/v)) for the Chlorella sp. According to the proliferation law of Chlorella sp., in order to proliferate rapidly, it is reasonable to ensure the initial concentration is between 4.00 × 106 cell/mL and 7.00 × 106 cell/mL for the continuous cultivation of Chlorella sp.

3.2. Wastewater Treatment by Chlorella sp.

In order to compare the effects of different Chlorella sp. dosages on COD removal, the dosages of the Chlorella sp. were controlled at 10%, 20% and 30% (v/v), respectively. The concentration change in the Chlorella sp. in COD wastewater and the concentration change in the COD in wastewater were determined, and the removal of COD was expressed by the concentration change in the COD.
The changes in the concentration of the Chlorella sp. with different initial dosages are shown in Figure 2A. The concentrations all increased rapidly in the first 3 days; then, all the groups gradually stabilized at different concentrations. Another study also showed that Chlorella sp. concentrations can stabilize in wastewater in 6 to 7 days [34]. The concentration of the 30% (v/v) group reached the maximum of 3.94 × 107 cell/mL on the 3rd day, and the concentration was 3.61 × 107 cell/mL on the 7th day. The maximum concentrations of the 20% (v/v) group and 10% (v/v) group were 2.62 × 107 cell/mL on the 5th day and 1.34 × 107 cell/mL on the 4th day, respectively, and the 7th day concentrations were 2.57 × 107 cell/mL and 1.15 × 107 cell/mL, respectively.
The changes in the COD concentrations and the COD removal rates with different initial Chlorella sp. dosages are shown in Figure 2B; the changes in the COD removal rates in the different groups had the same trend as the changes in the Chlorella sp. concentration. The cell concentrations and COD removal rates of the different groups increased with an increase in the initial dose of Chlorella sp. The initial COD concentration was 2000 mg/L. On the 7th day, the COD concentrations of the groups of 30%, 20% and 10% were 1087.5 mg/L, 1422.5 mg/L and 1787.5 mg/L, respectively, and the COD removal rates were 45.47%, 29.02% and 9.89%, respectively.
The concentrations obtained by the proliferation in COD wastewater were much greater than the standard concentration in BG-11. This is due to the large amount of organic carbon that promotes Chlorella sp. respiration and then provides material and energy for the proliferation process [32]. From 10% to 30%, the more Chlorella sp. added, the more new cells were proliferated, and more COD was removed. At the same time, the proliferation multiples increased from 7.48 to 8.37, then decreased to 7.84; with similar proliferation multiples, the added dosage determined the maximum concentration, and the COD was converted into the constituent substance of neonatal cells [19]. In the 20% and 30% groups, the cell concentrations on the 2nd day and the COD removal rates on the 1st day were similar, then immediately showed significant differences. The Chlorella sp. entered the adaptation phase in the COD solution within the first 2 days [35].

3.3. Cell Activity and Proliferative Capacity of Chlorella sp.

In order to analyze the effect of the concentration changes of the Chlorella sp. during the proliferation process in the BG-11 culture medium on the changes of the Chlorella sp. proliferation capacity, long-term concentration observation was performed on the cyclic culture process of the Chlorella sp. in two groups. And, by selecting different batches of Chlorella sp. for the control experiments, the changes in Chlorella sp. activity were analyzed.
The Chlorella sp. was grown and proliferated in the BG-11 culture medium, diluted after extraction and, then, the culture was continued and different batches of Chlorella sp. cells were obtained by cyclic operation. The changes in the concentrations of the Chlorella sp. in BG-11 medium are shown in Figure 3A,B. The maximum concentration of Chlorella sp. in BG-11 reached more than 4.00 × 107 cell/mL. The changes in the concentrations of the Chlorella sp. with different batches in wastewater are shown in Figure 3C. The cell concentrations of the four batches from B1 to B4 fluctuated between 2.07 × 107 cell/mL and 3.13 × 107 cell/mL on the 4th–7th days. The changes in the Chlorella sp. concentrations and the removal rates of COD with the different batches of Chlorella sp. on the 7th day are shown in Figure 3D. The COD removal rates of the four batches from B1 to B4 fluctuated between 24.00% (COD removal 480 mg/L) and 34.50% (COD removal 690 mg/L) on the 7th day, and the average was 28.88% (COD removal 577.6 mg/L).
After the Chlorella sp. adapted to the BG-11 environment, the greater the initial concentration, the more Chlorella sp. cells proliferated. However, BG-11 had limited nutrients, and the contents of various substances in the newborn cells were reduced. The concentrations of the four groups (B1, B2, B3 and B4) were significantly lower than the lowest concentration of 3.25 × 107 cell/mL of the initial 30% group on the 4th day. The Chlorella sp. batches significantly influenced the final concentration of Chlorella sp. (p < 0.05). This indicated a decrease in the proliferative ability of Chlorella sp. in wastewater with the cyclic culture time. All the COD removal rates of the four groups decreased, and the removal rate of COD had a certain correlation with the concentration of the Chlorella sp. The Chlorella sp. batches significantly influenced the COD removal rate (p < 0.05). This indicated a decrease in Chlorella sp. cell activity and ability to remove COD. This may be due to some negative effects on the Chlorella sp. in the BG-11 medium. For the long-term culture, the supply of nutrients in BG-11 was insufficient, and the content of enzymes (N-containing) and genetic material (P-containing) in the cells decreased with the increase in Chlorella sp. concentration. This led to a decrease in cell activity and proliferative ability of Chlorella sp. At the same time, the secretions and excretions of Chlorella sp. cells in the culture medium increased, resulting in the deterioration of the solution environment, which is not conducive to the normal growth of cells. The activity of cell proliferation is directly related to various enzymes [36], and a long-term culture results in a change in the pH in the BG-11 solution, which will affect the life process of Chlorella sp. cells.
The correlation of the Chlorella sp. concentrations and the removal rates of COD on the 7th day are shown in Figure 3E. The concentrations reflect the growth and proliferation ability of Chlorella sp., and the removal rates of COD represent the amount of organic matter absorbed by the Chlorella sp. As can be seen from Figure 3E, the COD removal rates of different groups increased with an increase in the final cell concentrations of the Chlorella sp. [32]. The formula for a regression curve plotted from scatter points is
y = 5052.39 + 907.34 x 54.19 x 2 + 1.08 x 3 , R 2 = 0.9253 .
The formula shows the correlation between Chlorella sp. concentrations and COD removal rates on the 7th day under the initial Chlorella sp. dosage from 10% to 30%. That is, the higher the Chlorella sp. concentration, the higher the removal rate of COD. The treatment of wastewater by Chlorella sp. can directly estimate the removal rate of COD, according to the formula.
The changes in the cell concentrations and the removal rate of COD on the 7th day in the wastewater treated by Chlorella sp. from the renewed BG-11 culture medium are shown in Figure 3C,D. The maximum cell concentration was 2.81 × 107 cell/mL, the final concentration was 2.14 × 107 cell/mL and the COD removal rate was 34.13% (COD removal 682.6 mg/L). After the cultivation in the renewed BG-11 culture medium, the proliferation capacity of Chlorella sp. in wastewater was recovered, but it was still not as good as the initial state. This indicated that, after multiple divisions of Chlorella sp. cells, the activity of the genetic material was irreversibly decreased, which was also consistent with the conjecture that the number of biological cell divisions is limited by telomeres [37,38].
The relationship of the Chlorella sp. concentrations in BG-11 culture medium and cells proliferation multipliers in wastewater on the 7th day is shown in Figure 4. The Chlorella sp. dosages in wastewater of all the groups were the same as the initial 30% group, but the concentrations of the Chlorella sp. extracted from BG-11 were different in different batches. The formula for a regression curve plotted from scatter points is
y = 13.372 ( 4.626 × 10 7 ) x + ( 6.503 × 10 15 ) x 2 , R 2 = 0.9000
The cell proliferation multiplier in wastewater was the maximum when the Chlorella sp. concentration in BG-11 was 1.60 × 107 cell/mL, and then, the cells proliferation multipliers of different groups had decreased with an increase in concentrations of the Chlorella sp. in BG-11. But there is a limit to the descent. This suggested that 1.60 × 107 cell/mL as the standard concentration of Chlorella sp. can maintain cell activity. The six points of concentrations of the B4 group and renewed group were from 1.44 × 107 cell/mL to 2.26 × 107 cell/mL, but the proliferation multipliers were from 4 to 5. Neither changing the extraction concentrations nor renewing the culture medium could restore the proliferation ability of the Chlorella sp. This suggested that the proliferative activity of the Chlorella sp. decreased irreversibly. This was determined by undesirable changes in the genetic material during cell division.

3.4. Effects of Natural Microorganisms

In order to visually observe and compare the changes in the microorganisms in COD wastewater, microscopic observation was used, and the state of the Chlorella sp. and natural microorganisms was represented by pictures.
In the process of wastewater treatment by Chlorella sp., natural microorganisms from the environment were introduced to the solution. The cells of the Chlorella sp. and natural microorganisms under the microscopes are shown in Figure 5. The natural microorganisms were much larger in volume than the Chlorella sp., could move, the solution color was earthy yellow and the cells were easy to aggregate and precipitate.
In order to compare the effects of natural microorganisms on the growth process of Chlorella sp. and the COD removal effect, the changes in the cell concentrations of the natural microorganisms and Chlorella sp. in the wastewater of the three groups were measured, and the COD removal was measured. The effect of the natural microorganisms on the Chlorella sp. concentration and the effect of COD removal were analyzed.
The three triangular bottles were recorded as A1, A2 and A3. The changes in the Chlorella sp. concentrations from the 0 to 7th day and the changes in the natural microorganism concentrations from the 8th to 25th day in three bottles of COD solution are shown in Figure 6A. From the 0 to 3rd day, the concentrations of the Chlorella sp. all showed a sharp upward trend. The cells in A2 began to enter a fluctuating state on the 3rd day, and the concentrations changed between 2.96 × 107 cell/mL and 3.23 × 107 cell/mL from the 3rd to 7th day, while A1 and A3 reached their maximum concentrations on the 4th day; the cell concentrations were 3.74 × 107 cell/mL and 4.34 × 107 cell/mL, respectively. But the Chlorella sp. concentrations of A1 and A3 decreased sharply and monotonously from the 3rd to 7th day, and the final concentrations were 1.00 × 107 cell/mL and 1.25 × 107 cell/mL, respectively. The rapid decrease in the Chlorella sp. concentrations in A1 and A3 was due to the presence of natural microorganisms on the 4th day; the natural microorganisms were observed under microscopes. The introduction of natural microorganisms led to contamination of the Chlorella sp. solution. Even though there were fewer natural microorganisms in A2, the Chlorella sp. were still affected during the long-term cultivation and the concentrations around 2.10 × 107 cell/mL on the 12th and 13th day. The concentrations of the natural microorganisms fluctuated between 3.00 × 106 cell/mL and 7.00 × 106 cell/mL from the 8th to 13th day. On the 21st day, 5.60 × 106 cell/mL was determined as the standard concentration; until the 25th day, the concentrations remained in a stable region.
The changes in the removal rates of COD in A1 and A3 from the 7th to 25th day and A2 from the 7th to 13th day are shown in Figure 6B. The COD removal rates of A1, A2 and A3 on the 7th day were 47.13%, 34.38% and 51.63% (COD removal 942.6 mg/L, 687.6 mg/L and 1032.6 mg/L), respectively. The removal rates of A1 and A3 gradually increased during the long-term treatment, and finally, removal rates of 72.62% (COD removal 1452.4 mg/L) and 82.38% (COD removal 1647.6 mg/L) were obtained on the 25th day, while the removal rates of A2 fluctuated between 27.25% (COD removal 545 mg/L) and 34.38% (COD removal 687.6 mg/L). This suggested that the presence of natural microorganisms was able to improve COD removal in the Chlorella sp. solution. Some studies have confirmed that other microorganisms appear when Chlorella sp. is cultured in wastewater, which may increase the removal rate [25,39,40].

3.5. Improvement of COD Removal with Natural Microorganisms

In order to determine the ability of natural microorganisms to remove COD alone, different concentrations of natural microorganisms were added to COD wastewater. By comparing the effects of COD removal, the ability of natural microorganisms to remove COD was analyzed, and the appropriate concentration was selected.
The concentration of 5.60 × 106 cell/mL was determined as the standard concentration for the natural microorganisms, and its mass concentration was between 1.25 g/L and 1.40 g/L. The changes in cell concentrations of the natural microorganisms at different dosages in different COD concentrations of wastewater are shown in Figure 7A,B. In the 2000 mg/L COD wastewater, the cell concentrations in three groups all increased from the 0 to 4th day but then all gradually decreased. The concentrations in the different groups increased with the increase in the initial dose of natural microorganisms. The maximums of 1%, 2% and 3% (v/v) were 1.80 × 105 cell/mL, 3.13 × 105 cell/mL and 4.83 × 105 cell/mL, respectively. All the data were less than 1/10 of the standard concentration. The cell concentrations in 1000mg/L COD were lower, and the maximums were 1.47 × 105 cell/mL, 2.23 × 105 cell/mL and 3.67 × 105 cell/mL, respectively. This indicated that natural microorganisms were difficult to proliferate alone in the wastewater containing COD only. The growth and proliferation of cells of natural microorganisms require elements such as N and P, and in wastewater containing only COD, natural microorganisms can only maintain simple life activities.
The COD removal rates of different dosages natural microorganisms in different COD concentrations of wastewater are shown in Figure 7C,D. The increase in the natural microorganism concentration was too small, and the consumption of COD was also too low. In the long-term treatment process, the phenomenon of wastewater evaporation concentration led to a negative COD removal rate.
A summary of the changes in the natural microorganism concentrations at different dosages in different COD concentrations of wastewater is shown in Figure 7E. All the data of both the maximum and the 7th day concentrations in descending order were 3%-2000 mg/L > 3%-1000 mg/L > 2%-2000 mg/L > 2%-1000 mg/L > 1%-2000 mg/L > 1%-1000 mg/L. This indicated that the natural microorganisms in wastewater with high concentrations of COD had a stronger proliferative ability. However, it was still far from the standard concentration.
In order to compare the effects of different Chlorella sp. dosages, natural microbial dosages and Chlorella sp. sources on the COD removal ability of the symbiotic system, the differences between different combinations were analyzed, and the mechanism was explored.
In the wastewater, the concentration of the natural microorganisms was 3% (v/v); the concentrations of the Chlorella sp. extracted from the BG-11 medium were 30% and 60% (v/v) and the concentrations of the Chlorella sp. extracted from the COD wastewater were 60%, 100% and 200% (v/v), respectively. The groups were recorded as 30% BG-3%, 60% BG-3%, 60%-3%, 100%-3% and 200%-3%, respectively.
The changes in Chlorella sp. concentrations in 2000 mg/L COD wastewater at different Chlorella sp. dosages and the 3% (v/v) natural microorganism dosage are shown in Figure 8A. Compared with the performance of Chlorella sp. alone, the addition of natural microorganisms significantly affected the normal proliferation process of Chlorella sp. The Chlorella sp. concentrations decreased in all groups and eventually converged in a small range. The Chlorella sp. in 30% BG-3% and 60% BG-3% were obtained from BG-11, and the concentrations decreased immediately on the 1st day but then fluctuated steadily. The Chlorella sp. in 60%-3%, 100%-3% and 200%-3% were obtained from the wastewater containing COD only, and the concentrations increased slightly on the 1st day but then dropped sharply. The Chlorella sp. concentrations of the five groups on the 7th day were 3.38 × 106 cell/mL, 6.55 × 106 cell/mL, 4.90 × 106 cell/mL, 4.77 × 106 cell/mL and 5.55 × 106 cell/mL, respectively. The initial concentration and source of the Chlorella sp. significantly influenced the final concentration of the Chlorella sp. (p < 0.05). All the Chlorella sp. concentrations of the different groups decreased in the presence of the natural microorganisms, but the Chlorella sp. cells did not disappear.
The changes in the natural microorganism concentrations in 2000 mg/L COD wastewater at different Chlorella sp. dosages and the 3% natural microorganism dosage are shown in Figure 8B. In all the groups, the concentrations of the natural microorganisms increased significantly. The concentrations of 60% BG-3% and 30% BG-3% were 6.77 × 106 cell/mL and 4.45 × 106 cell/mL, respectively; the data for the other groups were close. The initial concentration and source of the Chlorella sp. significantly influenced the final concentration of the natural microorganisms (p < 0.05). This suggested that the Chlorella sp. was necessary during the proliferation of natural microorganisms in the wastewater containing COD only, and the Chlorella sp. extracted from BG-11 had a stronger promoting effect.
The changes in the removal rates of COD in 2000 mg/L COD wastewater at different Chlorella sp. dosages and the 3% natural microorganism dosage are shown in Figure 8C. The COD removal rates of 60% BG-3% and 30% BG-3% increased rapidly in the first 3 days and started to fluctuate on the 4th day. On the 7th day, the COD removal rates of the 60% BG-3% group and 30% BG-3% group were 34.70% (COD removal 694 mg/L) and 45.75% (915 mg/L), respectively. The 45.75% of the 30%BG-3% group was the maximum, significantly higher than the average value of 28.88% of reduced activity and slightly higher than the 45.47% (909.4 mg/L) of the initial 30% group. The other groups increased slowly, especially 60%-3%, which fluctuated around 0%. The initial concentration and source of the Chlorella sp. significantly influenced the COD removal rate (p < 0.05). The Chlorella sp. extracted from the BG-11 culture solution coexisted with the natural microorganisms to remove COD more effectively.
The changes in the concentrations of the Chlorella sp. and natural microorganisms led to changes in the removal rates of COD. Chlorella sp. absorbed CO2 through photosynthesis [41] under light conditions, released O2 and produced organic matter. The Chlorella sp. and natural microorganisms absorbed O2 through respiration [42,43] and consumed COD to obtain energy for growth and proliferation and released CO2. These processes occurred simultaneously in the Chlorella sp.–natural microorganism symbiotic system, where O2 and CO2 circulated between the two microorganisms. Increasing the CO2 levels can promote Chlorella sp. photosynthesis, which may increase some of the activity of Chlorella sp. Endocytosis on Chlorella sp. by natural microorganisms was observed under microscopes. The relationship between the two microorganisms is predation [44,45]. This was in line with a trend that the concentrations of Chlorella sp. decreased while the concentrations of natural microorganisms increased, but there were limit values, and they eventually stabilized. The Chlorella sp. cells were rich in various proteins [25], lipids [16] and elements, which were necessary for the growth and proliferation of the natural microorganisms.
Chlorella sp. extracted from BG-11 maintained a high content of cellular inclusions, including genetic material (containing P) and proteins (containing N). The concentrations of the Chlorella sp. were controlled in the logarithmic growth stage under the influence of natural microorganisms. In this condition, the Chlorella sp. maintained a high proliferative activity and provided new cells [32] to natural microorganisms for a long time. The natural microorganisms preyed on highly nutrient-rich Chlorella sp. and proliferated in large numbers. In this case, the larger the dosage of Chlorella sp., the more natural microorganisms were obtained on the 7th day. The respiration of Chlorella sp. and natural microorganisms was the main part of COD consumption. However, too much CO2 from too many natural microorganisms had a negative impact on the symbiotic system stability and wastewater treatment efficiency, which may be the reason why the COD removal rate of 30% BG-3% was better than 60% BG-3%. In a word, the optimal dosage of Chlorella sp. was 30% (v/v) from BG-11.
Elements such as N, P and others have a direct impact on the development of microbial communities [46]. The Chlorella sp. extracted from the wastewater containing COD only, which underwent 7 days of growth and proliferation without a supply of N and P, resulted in extremely low levels of genetic material and protein in the cells. The proliferative ability was seriously decreased, and it was impossible to maintain the cell concentrations under the influence of the natural microorganisms. Studies have shown that the degradation of some specific organic matter by microorganisms is achieved through specific enzymes, and the content of N directly affects the removal effect of pollutants [47,48]. At the same time, it is difficult for Chlorella sp. with large concentrations but few nutrients to supply the proliferation needs of natural microorganisms. This leads to the slow growth of natural microorganism concentrations. In this case, the COD was consumed by natural microorganisms absorbing organic matter for the energy for endocytosis [49] Chlorella sp., due to the supply of organic matter in Chlorella sp. cells and the small concentrations of natural microorganisms, there was less demand for natural microorganisms for organic matter in wastewater, which led to smaller COD removal rates.
In the COD wastewater, the concentrations of natural microorganisms were 1%, 3% and 6% (v/v), respectively. The Chlorella sp. in 30% BG-6%(1) was extracted from an excessive concentration in BG-11; the others were all extracted from the standard concentration in BG-11.
The changes in Chlorella sp. concentrations in 2000 mg/L COD wastewater at the 30% (v/v) Chlorella sp. dosage and different natural microorganism dosages are shown in Figure 9A. The Chlorella sp. concentrations in all the groups fluctuated, and the final concentrations were less than the initial data. The initial concentration of natural microorganisms did not significantly influence the final concentration of Chlorella sp. (p < 0.05). This indicated that Chlorella sp. can maintain the concentration of Chlorella sp. under the influence of natural microorganisms without being completely removed.
The changes in the natural microorganism concentrations in 2000 mg/L COD wastewater at the 30% (v/v) Chlorella sp. dosage and different natural microorganism dosages are shown in Figure 9B. The 30% BG-6%(2) group obtained the maximum natural microorganisms concentration of 5.00 × 106 cell/mL, but the 30% BG-6%(1) group had a similar concentration as the 30% BG-1% group. The initial concentration of the natural microorganisms significantly influenced the final concentration of the natural microorganisms (p < 0.05). Under the same conditions, the concentration of the natural microorganisms increased with an increase in the initial dosage, but there were also limit values.
The changes in the removal rates of COD in 2000 mg/L COD wastewater at the 30% (v/v) Chlorella sp. dosage and different natural microorganism dosages are shown in Figure 9C. The initial concentration of the natural microorganisms significantly influenced the COD removal rate (p < 0.05). Neither too large nor too few dosages of natural microorganisms could achieve high COD removal rates. The optimal dosage of natural microorganisms was 3% (v/v). In the symbiotic system, the optimal combination was 30% (v/v) Chlorella sp. from BG-11 and 3% (v/v) natural microorganisms.
In the process of predation, the relatively more biomass of the predator, the faster its concentration increased, but there were limit values. The 30% BG-6%(2) group obtained the maximum concentrations of Chlorella sp. and natural microorganisms but with the COD removal rate less than 30% (COD removal 600 mg/L). The large amount of CO2 produced by natural microorganisms provided enough raw materials for the photosynthesis of Chlorella sp. and increased the content of organic matter in the Chlorella sp. cells. This reduced the demand of natural microorganisms for the Chlorella sp. cells and COD; therefore, the concentrations of the Chlorella sp. cells and COD in wastewater were maintained at a high level. The 30% BG-6%(1) group had a larger dosage of natural microorganisms, but the final concentration was similar to the 30% BG-1% group, and the COD removal rate showed the same performance. The Chlorella sp. in 30% BG-6%(1) was extracted from an excessive concentration in BG-11. Multiple cell divisions resulted in relatively low cell activity and proliferative ability of the Chlorella sp., and the cells had low levels of nutrients. Therefore, even with a large initial dosage of natural microorganisms, without a supply of high-quality Chlorella sp., the wastewater treatment could not get the expected effect.
The changes in Chlorella sp. concentrations in different dosage combinations of Chlorella sp. and natural microorganisms in wastewater are shown in Figure 10A. In all different combinations, the concentrations of Chlorella sp. decreased significantly. Finally, the maximum concentration was only 6.55 × 106 cell/mL, which is 40.94% of the standard concentration in BG-11 and 16.62% of the maximum concentration in wastewater. This suggested that natural microorganisms can effectively control Chlorella sp. concentrations. Natural microorganisms can be applied to remove Chlorella sp. cells in wastewater.
The changes in natural microorganism concentrations in different dosage combinations of Chlorella sp. and natural microorganisms in wastewater are shown in Figure 10B. In all combinations, the standard concentration was hardly exceeded, and there was no pollution of excess natural microorganism cells.
The changes in the removal rates of COD in different dosage combinations of Chlorella sp. and natural microorganisms in 2000mg/L COD wastewater are shown in Figure 10C. Natural microorganisms preyed on Chlorella sp. while consuming COD in wastewater. A change in the ratio of Chlorella sp. to natural microorganisms can improve the COD removal rate of the system.
The optimal combination, the 30% BG-3% group, obtained a COD removal rate slightly higher than the initial 30% Chlorella sp. group by promoting Chlorella sp. cell activity and maintaining the Chlorella sp. proliferative ability, and the final Chlorella sp. concentration was only 9.38% of the initial 30% Chlorella sp. group. The addition of natural microorganisms solved the problem of reduced activity of the Chlorella sp. and the excessive concentration of Chlorella sp. This may be applied to the treatment of red tides [30].
In order to compare the effects of different factors on the symbiotic system, the Chlorella sp. concentration, natural microbial concentration, Chlorella sp. removal and COD removal on the 7th day were compared, and the main determinants of COD removal in the symbiotic system were analyzed.
On the 7th day, the concentrations of Chlorella sp., the concentrations of natural microorganisms, the COD removal rates and the removal rates of Chlorella sp. in different groups are shown in Figure 11A. In different groups, Chlorella sp. extracted from BG-11 can obtain higher COD removal rates with fewer dosages. This was mainly due to the growth and proliferative activity of Chlorella sp. cells. With the 30% Chlorella sp. dosage, the larger the natural microbial dosage, the greater the removal rate of Chlorella sp., but the final concentrations of Chlorella sp. were close to each other. With the 60% Chlorella sp. dosage, the cells extracted from BG-11 can maintain the concentration; therefore, the 60%-3% group obtained a higher removal rate of Chlorella sp. The three groups with Chlorella sp. extracted from wastewater containing COD only were 60%-3%, 100%-3% and 200%-3%. In these groups, the Chlorella sp. cells almost lost the ability to grow and proliferate, as predation dominated in the system. Since the final Chlorella sp. concentrations were close, the larger the Chlorella sp. dosage, the greater the removal rate of Chlorella sp., and the Chlorella sp. removal rates of 60%-3%, 100%-3% and 200%-3% were 50.06%, 70.79% and 83.86%, respectively. All the Chlorella sp. concentrations in the different groups were below 6.55 × 106 cell/mL, which was 40.94% of the standard concentration (1.60 × 107 cell/mL) and 18.14% of the 30% group on the 7th day concentration (3.61 × 107 cell/mL). This indicated that natural microorganisms had a superior effect on the cell concentration control of Chlorella sp. under different conditions. Natural microorganisms can also be used to treat algae pollution caused by Chlorella sp. [50].
On the 7th day, the total concentrations of the Chlorella sp. and natural microorganisms, the removal rates of COD and the removal rates of the Chlorella sp. in the different groups are shown in Figure 11B. The high total microorganism concentrations promoted the COD removal rates. This was due to the fact that the respiration of microorganisms is the main way to consume COD; the more cells, the stronger the respiration of the system. The 60%-3% group was a special case, with a COD removal rate close to 0%. This was due to the small dosage and low cell activity of the Chlorella sp., leading to the contribution of the Chlorella sp. to COD consumption being extremely low. At the same time, the Chlorella sp. cells had almost no new supplements; that is, natural microorganisms can only prey on the original low-quality Chlorella sp., and less COD was consumed during predation.
On the 7th day, the proportion of the Chlorella sp. and natural microorganisms in the total microorganism concentrations and the removal rates of COD are shown in Figure 11C. The removal rates of COD had a certain correlation with the proportion of natural microorganism concentrations in the total microorganism concentrations. Natural microorganisms clearly dominated the treatment of COD in the symbiotic systems.

4. Conclusions

In the study, a Chlorella sp.–natural microorganism symbiotic system was prepared for COD treatment. A long-term culture led to a decrease in the nutrient content in Chlorella sp. cells, resulting in a decrease in the cell activity, proliferation capacity and COD removal ability of Chlorella sp. The symbiotic system promoted Chlorella sp. activity by facilitating the circulation of O2 and CO2 between Chlorella sp. and natural microorganisms. Natural microorganisms controlled the concentration of Chlorella sp. near the logarithmic growth stage, which can maintain the optimal proliferation ability of Chlorella sp. for a long time. The removal rate of COD increased from 28.88% to 45.75%, and the concentrations of the Chlorella sp. in all the groups were controlled below 6.55 × 106 cell/mL by predation. The symbiotic system can simultaneously improve the COD removal rate and limit Chlorella sp. concentrations.

Author Contributions

Conceptualization, Q.S. and X.Z. (Xiaoping Zhang); methodology, Q.S. and X.Z. (Xiaoping Zhang); software, Q.S.; validation, Q.S.; formal analysis, Q.S. and X.Z. (Xiaoping Zhang); investigation, Q.S.; resources, Q.S.; data curation, Q.S.; writing—original draft preparation, Q.S.; writing—review and editing, Q.S., X.Z. (Xiaoping Zhang) and X.Z. (Xin Zhang); visualization, Q.S.; supervision, Q.S. and X.Z. (Xiaoping Zhang); project administration, X.Z. (Xiaoping Zhang) and funding acquisition, X.Z. (Xiaoping Zhang). All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Key Research and Development Program of China (Grant No. 2016YFC0400702-2). The Guangdong Science and Technology Program (2020B121201003).

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to [privacy].

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses or interpretation of the data; in the writing of the manuscript or in the decision to publish the results.

References

  1. Mo, W.Y.; Man, Y.B.; Wong, M.H. Use of food waste, fish waste and food processing waste for China’s aquaculture industry: Needs and challenge. Sci. Total Environ. 2018, 613–614, 635–643. [Google Scholar] [CrossRef]
  2. Wang, H.H. The perspective of meat and meat-alternative consumption in China. Meat Sci. 2022, 194, 108982. [Google Scholar] [CrossRef] [PubMed]
  3. Samoraj, M.; Mironiuk, M.; Izydorczyk, G.; Witek-Krowiak, A.; Szopa, D.; Moustakas, K.; Chojnacka, K. The challenges and perspectives for anaerobic digestion of animal waste and fertilizer application of the digestate. Chemosphere 2022, 295, 133799. [Google Scholar] [CrossRef] [PubMed]
  4. Deng, J.; Jia, M.; Zeng, Y.Q.; Li, W.; He, J.; Ren, J.; Bai, J.; Zhang, L.; Li, J.; Yang, S. Enhanced treatment of organic matter in slaughter wastewater through live Bacillus velezensis strain using nano zinc oxide microsphere. Environ. Pollut. 2022, 292, 118306. [Google Scholar] [CrossRef] [PubMed]
  5. Yang, T.; Li, F.; Du, M.; Wang, Y.; Sun, Z. Measuring pollutant emissions of cattle breeding and its spatial-temporal variation in China. J. Environ. Manag. 2021, 299, 113615. [Google Scholar] [CrossRef]
  6. Hamza, R.A.; Sheng, Z.; Iorhemen, O.T.; Zaghloul, M.S.; Tay, J.H. Impact of food-to-microorganisms ratio on the stability of aerobic granular sludge treating high-strength organic wastewater. Water Res. 2018, 147, 287–298. [Google Scholar] [CrossRef]
  7. Ren, Q.; Chen, X.; Yumminaga, Y.; Wang, N.; Yan, W.; Li, Y.; Liu, L.; Shi, J. Effect of operating conditions on the performance of multichannel ceramic ultrafiltration membranes for cattle wastewater treatment. J. Water Process Eng. 2021, 41, 102102. [Google Scholar] [CrossRef]
  8. Wang, D.; Li, T.; Yan, C.; Zhou, Y.; Zhou, L. A novel bio-flocculation combined with electrodialysis process: Efficient removal of pollutants and sustainable resource recovery from swine wastewater. Sep. Purif. Technol. 2023, 304, 122330. [Google Scholar] [CrossRef]
  9. Mook, W.T.; Chakrabarti, M.H.; Aroua, M.K.; Khan, G.M.A.; Ali, B.S.; Islam, M.S.; Abu Hassan, M.A. Removal of total ammonia nitrogen (TAN), nitrate and total organic carbon (TOC) from aquaculture wastewater using electrochemical technology: A review. Desalination 2012, 285, 1–13. [Google Scholar] [CrossRef]
  10. Gorito, A.M.; Lado Ribeiro, A.R.; Pereira, M.F.R.; Almeida, C.M.R.; Silva, A.M.T. Advanced oxidation technologies and constructed wetlands in aquaculture farms: What do we know so far about micropollutant removal? Environ. Res. 2022, 204, 111955. [Google Scholar] [CrossRef]
  11. Tang, H.; Ma, Z.; Qin, Y.; Wu, H.; Xu, X.; Xin, L.; Wu, W. Pilot-scale study of step-feed anaerobic coupled four-stage micro-oxygen gradient aeration process for treating digested swine wastewater with low carbon/nitrogen ratios. Bioresour. Technol. 2023, 380, 129087. [Google Scholar] [CrossRef] [PubMed]
  12. Chen, C.; Huang, X.; Lei, C.; Zhang, T.C.; Wu, W. Effect of organic matter strength on anammox for modified greenhouse turtle breeding wastewater treatment. Bioresour. Technol. 2013, 148, 172–179. [Google Scholar] [CrossRef] [PubMed]
  13. Chen, X.; Zhang, Q.; Zhu, Y.; Zhao, T. Response of wastewater treatment performance, microbial composition and functional genes to different C/N ratios and carrier types in MBBR inoculated with heterotrophic nitrification-aerobic denitrification bacteria. Bioresour. Technol. 2021, 336, 125339. [Google Scholar] [CrossRef] [PubMed]
  14. Sanjaya, E.H.; Chen, Y.; Guo, Y.; Wu, J.; Chen, H.; Din, M.F.M.; Li, Y.Y. The performance of simultaneous partial nitritation, anammox, denitrification, and COD oxidation (SNADCO) method in the treatment of digested effluent of fish processing wastewater. Bioresour. Technol. 2022, 346, 126622. [Google Scholar] [CrossRef] [PubMed]
  15. Xu, H.; Li, L.; Wang, Y.; Qiu, K.; Chen, S.; Zeng, J.; Liu, R.; Yang, Q.; Huang, W. Differential physiological response of marine and freshwater microalgae to polystyrene microplastics. J. Hazard. Mater. 2023, 448, 130814. [Google Scholar] [CrossRef]
  16. Couto, D.; Conde, T.A.; Melo, T.; Neves, B.; Costa, M.; Silva, J.; Domingues, R.; Domingues, P. The chemodiversity of polar lipidomes of microalgae from different taxa. Algal Res. 2023, 70, 103006. [Google Scholar] [CrossRef]
  17. Chen, C.Y.; Kuo, E.W.; Nagarajan, D.; Dong, C.D.; Lee, D.J.; Varjani, S.; Lam, S.S.; Chang, J.S. Semi-batch cultivation of Chlorella sorokiniana AK-1 with dual carriers for the effective treatment of full strength piggery wastewater treatment. Bioresour. Technol. 2021, 326, 124773. [Google Scholar] [CrossRef]
  18. Sirohi, R.; Joun, J.; Lee, J.Y.; Yu, B.S.; Sim, S.J. Waste mitigation and resource recovery from food industry wastewater employing microalgae-bacterial consortium. Bioresour. Technol. 2022, 352, 127129. [Google Scholar] [CrossRef]
  19. Kumar, N.; Banerjee, C.; Chang, J.-S.; Shukla, P. Valorization of wastewater through microalgae as a prospect for generation of biofuel and high-value products. J. Clean. Prod. 2022, 362, 132114. [Google Scholar] [CrossRef]
  20. Song, Y.; Wang, L.; Qiang, X.; Gu, W.; Ma, Z.; Wang, G. The promising way to treat wastewater by microalgae: Approaches, mechanisms, applications and challenges. J. Water Process Eng. 2022, 49, 103012. [Google Scholar] [CrossRef]
  21. Zhou, J.L.; Yang, L.; Huang, K.X.; Chen, D.Z.; Gao, F. Mechanisms and application of microalgae on removing emerging contaminants from wastewater: A review. Bioresour. Technol. 2022, 364, 128049. [Google Scholar] [CrossRef]
  22. Huang, W.; Liu, D.; Huang, W.; Cai, W.; Zhang, Z.; Lei, Z. Achieving partial nitrification and high lipid production in an algal-bacterial granule system when treating low COD/NH4-N wastewater. Chemosphere 2020, 248, 126106. [Google Scholar] [CrossRef]
  23. Hu, X.; Meneses, Y.E.; Aly Hassan, A. Integration of sodium hypochlorite pretreatment with co-immobilized microalgae/bacteria treatment of meat processing wastewater. Bioresour. Technol. 2020, 304, 122953. [Google Scholar] [CrossRef] [PubMed]
  24. Sniffen, K.D.; Price, J.R.; Sales, C.M.; Olson, M.S. Influence of Scale on Biomass Growth and Nutrient Removal in an Algal-Bacterial Leachate Treatment System. Environ. Sci. Technol. 2017, 51, 13344–13352. [Google Scholar] [CrossRef] [PubMed]
  25. Wang, S.; Yin, C.; Yang, Z.; Hu, X.; Liu, Z.; Song, W. Assessing the potential of Chlorella sp. for treatment and resource utilization of brewery wastewater coupled with bioproduct production. J. Clean. Prod. 2022, 367, 132939. [Google Scholar] [CrossRef]
  26. Castaing, J.B.; Massé, A.; Séchet, V.; Sabiri, N.E.; Pontié, M.; Haure, J.; Jaouen, P. Immersed hollow fibres microfiltration (MF) for removing undesirable micro-algae and protecting semi-closed aquaculture basins. Desalination 2011, 276, 386–396. [Google Scholar] [CrossRef]
  27. Ma, J.; Zhang, R.; Xia, W.; Kong, Y.; Nie, Y.; Zhou, Y.; Zhang, C. Coagulation performance of Al/Fe based covalently bonded composite coagulants for algae removal. Sep. Purif. Technol. 2022, 285, 120401. [Google Scholar] [CrossRef]
  28. Chen, X.; Lin, Y.; Li, W.; Zhang, G.; Wang, Y.; Ma, J.; Meng, Z.; Wu, S.; Wang, S.; Zhang, X.; et al. Amidoximated CeMOFs superstructures with algae-removing properties for efficient uranium extraction from simulated seawater. Sustain. Mater. Technol. 2022, 34, e00521. [Google Scholar] [CrossRef]
  29. Wang, Y.; Xue, J.; Sun, W.; Chen, W.; Liu, B.; Jin, L.; Li, J.; Li, J.; Tian, L.; Wang, X. Efficiency and mechanism of ozonated microbubbles for enhancing the removal of algae and algae-derived organic matter. Chemosphere 2023, 312, 137220. [Google Scholar] [CrossRef]
  30. Fu, M.; Cao, S.; Li, J.; Zhao, S.; Liu, J.; Zhuang, M.; Qin, Y.; Gao, S.; Sun, Y.; Kim, J.K.; et al. Controlling the main source of green tides in the Yellow Sea through the method of biological competition. Mar. Pollut. Bull. 2022, 177, 113561. [Google Scholar] [CrossRef] [PubMed]
  31. Xia, Z.; Yuan, H.; Liu, J.; Sun, Y.; Tong, Y.; Zhao, S.; Xia, J.; Li, S.; Hu, M.; Cao, J.; et al. A review of physical, chemical, and biological green tide prevention methods in the Southern Yellow Sea. Mar. Pollut. Bull. 2022, 180, 113772. [Google Scholar] [CrossRef] [PubMed]
  32. Chen, C.Y.; Kuo, E.W.; Nagarajan, D.; Ho, S.H.; Dong, C.D.; Lee, D.J.; Chang, J.S. Cultivating Chlorella sorokiniana AK-1 with swine wastewater for simultaneous wastewater treatment and algal biomass production. Bioresour. Technol. 2020, 302, 122814. [Google Scholar] [CrossRef]
  33. Kobayashi, N.; Barnes, A.; Jensen, T.; Noel, E.; Andlay, G.; Rosenberg, J.N.; Betenbaugh, M.J.; Guarnieri, M.T.; Oyler, G.A. Comparison of biomass and lipid production under ambient carbon dioxide vigorous aeration and 3% carbon dioxide condition among the lead candidate Chlorella strains screened by various photobioreactor scales. Bioresour. Technol. 2015, 198, 246–255. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, J.; Song, A.; Huang, Y.; Liao, Q.; Xia, A.; Zhu, X.; Zhu, X. Domesticating Chlorella vulgaris with gradually increased the concentration of digested piggery wastewater to bio-remove ammonia nitrogen. Algal Res. 2021, 60, 102526. [Google Scholar] [CrossRef]
  35. Soto, M.F.; Diaz, C.A.; Zapata, A.M.; Higuita, J.C. BOD and COD removal in vinasses from sugarcane alcoholic distillation by Chlorella vulgaris: Environmental evaluation. Biochem. Eng. J. 2021, 176, 108191. [Google Scholar] [CrossRef]
  36. Li, J.; Song, L. Applicability of the MTT assay for measuring viability of cyanobacteria and algae, specifically for Microcystis aeruginosa (Chroococcales, Cyanobacteria). Phycologia 2007, 46, 593–599. [Google Scholar] [CrossRef]
  37. Schuss, Z.; Tor, K.; Holcman, D. Do cells sense time by number of divisions? J. Theor. Biol. 2018, 452, 10–16. [Google Scholar] [CrossRef]
  38. Wolf, S.E.; Shalev, I. The Shelterin Protein Expansion of Telomere Dynamics: Linking Early Life Adversity, Life History, and the Hallmarks of Aging. Neurosci. Biobehav. Rev. 2023, 152, 105261. [Google Scholar] [CrossRef]
  39. Dong, H.; Liu, W.; Zhang, H.; Zheng, X.; Duan, H.; Zhou, L.; Xu, T.; Ruan, R. Improvement of phosphate solubilizing bacteria Paenibacillus xylanexedens on the growth of Chlorella pyrenoidosa and wastewater treatment in attached cultivation. Chemosphere 2022, 306, 135604. [Google Scholar] [CrossRef]
  40. Monlau, F.; Sambusiti, C.; Ficara, E.; Aboulkas, A.; Barakat, A.; Carrère, H. New opportunities for agricultural digestate valorization: Current situation and perspectives. Energy Environ. Sci. 2015, 8, 2600–2621. [Google Scholar] [CrossRef]
  41. Burlacot, A.; Peltier, G. Energy crosstalk between photosynthesis and the algal CO2-concentrating mechanisms. Trends Plant Sci. 2023, 28, 795–807. [Google Scholar] [CrossRef] [PubMed]
  42. Stigter, J.D.; Beck, M.B.; Gilbert, R.J. Identification of model structure for photosynthesis and respiration of algal populations. Water Sci. Technol. 1997, 36, 35–42. [Google Scholar] [CrossRef]
  43. Zhong, Z.; Li, W.; Lu, X.; Gu, Y.; Wu, S.; Shen, Z.; Han, X.; Yang, G.; Ren, C. Adaptive pathways of soil microorganisms to stoichiometric imbalances regulate microbial respiration following afforestation in the Loess Plateau, China. Soil Biol. Biochem. 2020, 151, 108048. [Google Scholar] [CrossRef]
  44. Aharon, E.; Mookherjee, A.; Perez-Montano, F.; Mateus da Silva, G.; Sathyamoorthy, R.; Burdman, S.; Jurkevitch, E. Secretion systems play a critical role in resistance to predation by Bdellovibrio bacteriovorus. Res. Microbiol. 2021, 172, 103878. [Google Scholar] [CrossRef] [PubMed]
  45. Yu, L.; Peng, D.; Ren, Y. Protozoan predation on nitrification performance and microbial community during bioaugmentation. Bioresour. Technol. 2011, 102, 10855–10860. [Google Scholar] [CrossRef]
  46. Yuan, X.; Cui, K.; Chen, Y.; Xu, W.; Li, P.; He, Y. Response of microbial community and biological nitrogen removal to the accumulation of nonylphenol in sequencing batch reactor. Int. J. Environ. Sci. Technol. 2023, 20, 12669–12680. [Google Scholar] [CrossRef] [PubMed]
  47. Ikram, M.; Naeem, M.; Zahoor, M.; Hanafiah, M.M.; Oyekanmi, A.A.; Ullah, R.; Farraj, D.A.A.; Elshikh, M.S.; Zekker, I.; Gulfam, N. Biological Degradation of the Azo Dye Basic Orange 2 by Escherichia coli: A Sustainable and Ecofriendly Approach for the Treatment of Textile Wastewater. Water 2022, 14, 2063. [Google Scholar] [CrossRef]
  48. Khan, A.U.; Rehman, M.U.; Zahoor, M.; Shah, A.B.; Zekker, I. Biodegradation of Brown 706 Dye by Bacterial Strain Pseudomonas aeruginosa. Water 2021, 13, 2959. [Google Scholar] [CrossRef]
  49. Veiga, E.; Cossart, P. The role of clathrin-dependent endocytosis in bacterial internalization. Trends Cell Biol. 2006, 16, 499–504. [Google Scholar] [CrossRef]
  50. Boonbangkeng, D.; Treesubsuntorn, C.; Krobthong, S.; Yingchutrakul, Y.; Pekkoh, J.; Thiravetyan, P. Using cell-free supernatant of Bacillus sp. AK3 in combination with Chlorella to remove harmful algal bloom species, TP, TN, and COD from water. J. Environ. Chem. Eng. 2022, 10, 108645. [Google Scholar] [CrossRef]
Figure 1. Culture of Chlorella sp. in BG-11 culture medium. (A) The changes in cell concentrations under the seal and open conditions. (B) The Chlorella sp. culture curve and the changes in the proliferation multiples at the 1.01 × 106 cell/mL initial concentration. (C) The Chlorella sp. culture curve and the changes in the proliferation multiples at the 2.82 × 106 cell/mL initial concentration.
Figure 1. Culture of Chlorella sp. in BG-11 culture medium. (A) The changes in cell concentrations under the seal and open conditions. (B) The Chlorella sp. culture curve and the changes in the proliferation multiples at the 1.01 × 106 cell/mL initial concentration. (C) The Chlorella sp. culture curve and the changes in the proliferation multiples at the 2.82 × 106 cell/mL initial concentration.
Water 15 03544 g001aWater 15 03544 g001b
Figure 2. COD treatment by Chlorella sp. (A) The changes in the cell concentrations of Chlorella sp. in wastewater at dosages of 10%, 20% and 30% (v/v) Chlorella sp. (B) The changes in the COD concentrations in wastewater at dosages of 10%, 20% and 30% (v/v) Chlorella sp.
Figure 2. COD treatment by Chlorella sp. (A) The changes in the cell concentrations of Chlorella sp. in wastewater at dosages of 10%, 20% and 30% (v/v) Chlorella sp. (B) The changes in the COD concentrations in wastewater at dosages of 10%, 20% and 30% (v/v) Chlorella sp.
Water 15 03544 g002
Figure 3. The changes in the Chlorella sp. concentration in BG-11 culture medium and wastewater, and the changes in the removal rate of COD. (A,B) The changes in concentrations of the Chlorella sp. in BG-11 during the cyclic culture process (from batch #1 to batch #9). (C) The changes in concentrations of the Chlorella sp. with different batches in wastewater. (D) The changes in the removal of COD in wastewater with different batches. (E) The relationship curve between the Chlorella sp. concentrations and the removal rates of COD on the 7th day.
Figure 3. The changes in the Chlorella sp. concentration in BG-11 culture medium and wastewater, and the changes in the removal rate of COD. (A,B) The changes in concentrations of the Chlorella sp. in BG-11 during the cyclic culture process (from batch #1 to batch #9). (C) The changes in concentrations of the Chlorella sp. with different batches in wastewater. (D) The changes in the removal of COD in wastewater with different batches. (E) The relationship curve between the Chlorella sp. concentrations and the removal rates of COD on the 7th day.
Water 15 03544 g003aWater 15 03544 g003b
Figure 4. The relationship of the Chlorella sp. concentrations in the BG-11 culture medium and cell proliferation multipliers in wastewater on the 7th day. The red curve is the fitted curve.
Figure 4. The relationship of the Chlorella sp. concentrations in the BG-11 culture medium and cell proliferation multipliers in wastewater on the 7th day. The red curve is the fitted curve.
Water 15 03544 g004
Figure 5. Cells under the microscopes. (A) Chlorella sp. (B) Natural microorganisms. Inside the red circle are the cells for focused observation. The red line is a 50 μm ruler length.
Figure 5. Cells under the microscopes. (A) Chlorella sp. (B) Natural microorganisms. Inside the red circle are the cells for focused observation. The red line is a 50 μm ruler length.
Water 15 03544 g005
Figure 6. The influence of natural microorganisms on the Chlorella sp. and the treatment of wastewater. (A) The changes of Chlorella sp. concentrations in A1, A2 and A3 from the 0 to 7th day, and the changes of the natural microorganism (NM) concentrations in A1 and A3 from the 8th to 25th day. (B) The changes in the removal of COD of wastewater in A1, A2 and A3 from the 7th to 25th day.
Figure 6. The influence of natural microorganisms on the Chlorella sp. and the treatment of wastewater. (A) The changes of Chlorella sp. concentrations in A1, A2 and A3 from the 0 to 7th day, and the changes of the natural microorganism (NM) concentrations in A1 and A3 from the 8th to 25th day. (B) The changes in the removal of COD of wastewater in A1, A2 and A3 from the 7th to 25th day.
Water 15 03544 g006
Figure 7. Treatment of COD by natural microorganisms alone. (A) The changes in cell concentrations with 1%, 2% and 3% (v/v) dosages in 2000 mg/L COD wastewater. (B) The changes in cell concentrations with 1%, 2% and 3% (v/v) dosages in 1000 mg/L COD wastewater. (C) The COD removal of 1%, 2% and 3% (v/v) dosages in 2000 mg/L COD wastewater on the 7th day. (D) The COD removal of 1%, 2% and 3% (v/v) dosages in 1000 mg/L COD wastewater on the 7th day. (E) The summary of the changes in the natural microorganism concentrations at different dosages in different concentrations of COD wastewater.
Figure 7. Treatment of COD by natural microorganisms alone. (A) The changes in cell concentrations with 1%, 2% and 3% (v/v) dosages in 2000 mg/L COD wastewater. (B) The changes in cell concentrations with 1%, 2% and 3% (v/v) dosages in 1000 mg/L COD wastewater. (C) The COD removal of 1%, 2% and 3% (v/v) dosages in 2000 mg/L COD wastewater on the 7th day. (D) The COD removal of 1%, 2% and 3% (v/v) dosages in 1000 mg/L COD wastewater on the 7th day. (E) The summary of the changes in the natural microorganism concentrations at different dosages in different concentrations of COD wastewater.
Water 15 03544 g007aWater 15 03544 g007b
Figure 8. Treatment of wastewater by different dosages of Chlorella sp. and 3% (v/v) of natural microorganisms. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Figure 8. Treatment of wastewater by different dosages of Chlorella sp. and 3% (v/v) of natural microorganisms. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Water 15 03544 g008
Figure 9. Treatment of wastewater by 30% (v/v) of Chlorella sp. and different dosages of natural microorganisms. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Figure 9. Treatment of wastewater by 30% (v/v) of Chlorella sp. and different dosages of natural microorganisms. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Water 15 03544 g009
Figure 10. Summary of different dosage combinations of Chlorella sp. and natural microorganisms in wastewater treatment. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Figure 10. Summary of different dosage combinations of Chlorella sp. and natural microorganisms in wastewater treatment. (A) The changes in Chlorella sp. concentrations. (B) The changes in natural microorganism concentrations. (C) The changes in the removal of COD.
Water 15 03544 g010
Figure 11. The effects of the Chlorella sp. concentration and natural microorganism concentration on the removal rate of COD and the removal rate of Chlorella sp. (A) The effects of the Chlorella sp. concentrations and natural microorganism concentrations. (B) The effects of the total microorganism concentrations. (C) The effects of the proportion of Chlorella sp. and natural microorganisms in the total microorganism concentrations.
Figure 11. The effects of the Chlorella sp. concentration and natural microorganism concentration on the removal rate of COD and the removal rate of Chlorella sp. (A) The effects of the Chlorella sp. concentrations and natural microorganism concentrations. (B) The effects of the total microorganism concentrations. (C) The effects of the proportion of Chlorella sp. and natural microorganisms in the total microorganism concentrations.
Water 15 03544 g011
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

Sun, Q.; Zhang, X.; Zhang, X. Impact of Natural Microorganisms on the Removal of COD and the Cells Activity of the Chlorella sp. in Wastewater. Water 2023, 15, 3544. https://doi.org/10.3390/w15203544

AMA Style

Sun Q, Zhang X, Zhang X. Impact of Natural Microorganisms on the Removal of COD and the Cells Activity of the Chlorella sp. in Wastewater. Water. 2023; 15(20):3544. https://doi.org/10.3390/w15203544

Chicago/Turabian Style

Sun, Qingnan, Xiaoping Zhang, and Xin Zhang. 2023. "Impact of Natural Microorganisms on the Removal of COD and the Cells Activity of the Chlorella sp. in Wastewater" Water 15, no. 20: 3544. https://doi.org/10.3390/w15203544

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