Abstract
Ciprofloxacin (CIP) is a kind of widely used fluoroquinolone antibiotic, and the widespread presence of CIP in aquatic environment has become a serious issue. Mechanochemical treatment (MCT), as an effective approach to degrade persistent organic pollutants, has many advantages of low cost, simplicity, and being environmentally innocuous. However, little attention has been paid to employing MCT to treat effluents containing CIP. In this study, MCT was introduced to degrade CIP in aquatic solutions. A series of CIP degradation experiments were conducted by a planetary ball mill, and the influences of main parameters on CIP degradation efficiency were investigated. Furthermore, an optimum combination was selected through orthogonal experiments, and CIP degradation efficiency could reach as high as 99% in certain conditions. Besides, the biotoxicity of CIP solution was also studied. MCT exhibits satisfying performance for degrading CIP in solutions, which makes MCT a promising approach to CIP elimination and also encourages further applications in treating effluents containing other organic pollutants.
HIGHLIGHTS
Mechanochemical treatment was used to degrade ciprofloxacin in solutions.
Influences of main parameters on degradation efficiency were studied.
Ciprofloxacin degradation efficiency could reach 99% under optimal conditions.
Graphical Abstract
INTRODUCTION
Ciprofloxacin (CIP), a broad-spectrum fluoroquinolone antibiotic, has been widely utilized worldwide for treating human and veterinary diseases (Zeng et al. 2019; Igwegbe et al. 2021). Recently, the residual CIP in natural environments has become a growing environmental issue: more and more CIP is detected in surface water and underground water (Prieto et al. 2011; Kutuzova et al. 2021). The effluents discharged from hospitals and pharmaceutical factories with high CIP concentration will poison organisms in aquatic environment owing to its low biodegradability, which may threaten the health of human body through food chain (Vasconcelos et al. 2009; Jin et al. 2022). In addition, the widespread presence of low-concentration CIP in aquatic environment can stimulate the generation of resistance genes in microorganisms, leading to the emergence of CIP-resistant pathogens, which will make CIP ineffective (Jia et al. 2018; Pu et al. 2020). Therefore, it is imperative to find an appropriate approach for CIP degradation to deal with the inevitable concern of high CIP consumption amounts every year.
To address this issue, much effort has been focused on exploring an effective method to degrade CIP, including photocatalytic degradation, Fenton degradation, adsorption degradation, O3 treatment, etc. (Carabineiro et al. 2011; Shehu Imam et al. 2018; Wang et al. 2019). For example, Tamaddon et al. synthesized CuFe2O4@methyl cellulose (MC) composites as photocatalysts to degrade CIP, and they demonstrated that chemical oxygen demand (COD) removal efficiency was 68.2% (Tamaddon et al. 2020). Chen et al. used electro-Fenton method to degrade CIP and investigated the effect of chelation between Fe3+ and CIP on catalytic behavior (Chen et al. 2017). However, all the above-mentioned methods have some drawbacks. Although the photocatalytic approach is easy to operate, the catalysts are hard to recycle and photocatalytic reaction process is quite slow (Wang et al. 2018). Regarding the O3 treatment, the preparation of O3 is costly; in addition, the storage and transportation procedures are relatively complex. As for the adsorption degradation method with low-cost and high-feasibility advantages, CIP is just immobilized and not actually degraded, so it may be released into surrounding environment over time. Therefore, it is significant to find a low-cost, high reaction rate, easy accessibility approach to meet the demands for CIP degradation.
Mechanochemical treatment (MCT), as a branch of chemistry concerning chemical and physicochemical transformation of substances in all states, has attracted extensive attention since Rowlands et al. employed MCT to degrade chlorobenzenes and polychlorinated biphenyls (PCBs) (Rowlands et al. 1994; Cagnetta et al. 2016; He et al. 2020). In a typical MCT process, the mechanical energy provided by electrical machinery is transmitted to substances in the ball mill, triggering some reactions that are unlikely to occur in other conditions (Nomura et al. 2012). The transformation of mechanical energy to chemical energy is realized via the effects of squeeze, collision, shearing, and friction; moreover, the whole reaction process is conducted in ball mills (Deng et al. 2020). Compared with other degradation methods, MCT has several advantages: (1) the cost of MCT is relatively low because no expensive instruments are needed and no complex operating procedures involved; (2) MCT possesses a relatively high reaction rate, so that pollutants can usually be degraded within hours; (3) MCT is an environmentally innocuous route with minimal hazardous by-products formed in the process (Nie et al. 2022). It is noted that MCT is usually employed for treating solid-state pollutants, and in some cases, some kind of liquid pollutants such as tetrachloroethane and oil can also be treated via MCT. Given these advantages, MCT has been utilized for the degradation of persistent organic pollutants (POPs) and exhibits satisfying performance.
Moreover, to the best of our knowledge, using MCT to degrade CIP has not been reported yet. In this study, MCT is introduced to degrade CIP in aquatic solutions, and the effects of various experimental factors such as milling rotational speed, ratio of ball to material, and pH value on degradation performances are investigated.
EXPERIMENTAL
Materials and methods
Illustration of the mechanochemical treatment process for degrading CIP.
Batch experiments
In this study, five influencing parameters (milling rotational speed; milling time; ratio of grinding ball to material (defined as RGM); ratio of grinding balls (defined as RGB); and grinding ball type) concerning milling process and three influencing parameters (initial CIP concentration; pH value; and co-existing inorganic ions) concerning CIP solutions were studied. Variable-controlling approach was employed and the detailed parameters were set up as shown in Table 1.
Batch experiments setup
Number . | Parameters . | Experimental conditions . |
---|---|---|
1 | milling rotational speed | 100 rpm, 200 rpm, 300 rpm, 400 rpm, 500 rpm |
2 | milling time | 0 min, 5 min, 10 min, 15 min, 20 min, 30 min, 40 min, 60 min |
3 | ratio of grinding ball to material (RGM) | 1:1, 2:1, 3:1, 4:1 , 5:1 |
4 | ratio of grinding balls (RGB) | 3:0, 2:1, 1:2, 0:3 |
5 | grinding ball type | agate ball, ceramic ball, steel ball, zirconia ball |
6 | initial CIP concentration | 20 mg/L, 50 mg/L, 100 mg/L, 150 mg/L, 200 mg/L |
7 | pH value | 3, 5, 7, 9, 11 |
8 | co-existing inorganic ions | HCO3−, Cl−, SO42−, NO3− |
Number . | Parameters . | Experimental conditions . |
---|---|---|
1 | milling rotational speed | 100 rpm, 200 rpm, 300 rpm, 400 rpm, 500 rpm |
2 | milling time | 0 min, 5 min, 10 min, 15 min, 20 min, 30 min, 40 min, 60 min |
3 | ratio of grinding ball to material (RGM) | 1:1, 2:1, 3:1, 4:1 , 5:1 |
4 | ratio of grinding balls (RGB) | 3:0, 2:1, 1:2, 0:3 |
5 | grinding ball type | agate ball, ceramic ball, steel ball, zirconia ball |
6 | initial CIP concentration | 20 mg/L, 50 mg/L, 100 mg/L, 150 mg/L, 200 mg/L |
7 | pH value | 3, 5, 7, 9, 11 |
8 | co-existing inorganic ions | HCO3−, Cl−, SO42−, NO3− |
As for the ‘milling time’ parameter, in order to avoid the interruption of ball milling, which would affect the final results, different milling pots corresponding to various sampling times were used. The ratio of grinding balls to material (RGM) is defined as the ratio of weight of grinding balls to volume of CIP solution. Specifically, the ‘ratio of grinding balls (RGB)’ experiment was set to investigate the influence of weight ratio (weight of Φ10 mm balls to weight of Φ6 mm balls).
Although we could find out the influences of various experimental parameters on CIP degradation efficiencies via variable-controlling approach, there were impacts of interactions between many factors, which would make the single-factor tests unable to accurately analyze the results. Hence, orthogonal experiments were conducted to study the influencing factors. Four experimental factors of milling rotational speed, RGM, grinding ball type, and pH value were set as A, B, C, and D in orthogonal experimental design. Each experimental factor had three values, and Table 2 shows the factors and levels of orthogonal experiment.
Orthogonal experiment factor level table
Level . | Factor A . | Factor B . | Factor C . | Factor D . |
---|---|---|---|---|
milling rotational speed (rpm) . | RGM . | grinding ball type . | pH value . | |
1 | 300 | 3:1 | steel ball | 5 |
2 | 400 | 4:1 | agate ball | 7 |
3 | 500 | 5:1 | zirconia ball | 9 |
Level . | Factor A . | Factor B . | Factor C . | Factor D . |
---|---|---|---|---|
milling rotational speed (rpm) . | RGM . | grinding ball type . | pH value . | |
1 | 300 | 3:1 | steel ball | 5 |
2 | 400 | 4:1 | agate ball | 7 |
3 | 500 | 5:1 | zirconia ball | 9 |
CIP degradation measurement
It is noted that RIR value was proportional to the toxicity of liquid supernatant; hence the toxicity of solution could be measured by this method.
RESULTS AND DISCUSSIONS
(a) Influence of milling rotational speed on CIP degradation efficiency, (b) influence of milling time on CIP degradation efficiency, with a rotational speed of 300 rpm.
(a) Influence of milling rotational speed on CIP degradation efficiency, (b) influence of milling time on CIP degradation efficiency, with a rotational speed of 300 rpm.
Besides, milling time is another vital experimental parameter that influences the CIP degradation efficiency. As shown in Figure 2(b), little CIP has been degraded in the first 5 min (less than 3%). Further increasing the milling time to 10 min, the degradation efficiency rapidly reaches up to 23.4%; in addition, a satisfying degradation efficiency of 74.7% is observed when the milling time is 20 min. It should be noted that the CIP degradation efficiency slowly increases as time goes on when the milling time exceeds 20 min, where the degradation efficiency is 98.1% and 99.3%, corresponding to the 30 and 60 min sample, respectively. Apparently, the CIP degradation efficiency is not a simple linear relationship over time, and it can be divided into three stages. In the first stage, the accumulated energy has not reached the threshold and is not able to degrade CIP effectively. Then, the accumulated energy continues increasing, and CIP degradation efficiency sharply increases by 51% from 10 to 20 min. In the final stage, CIP concentration becomes lower and effective collisions reduce, leading to the decrease of reaction rate. Therefore, we can conclude that milling time is a vital factor influencing degradation efficiency, and 30 – 40 min is considered as an appropriate milling time in this work, considering both cost and efficiency.
Influences of (a) RGM value and (b) RGB value on CIP degradation efficiency, with a rotational speed of 300 rpm.
Influences of (a) RGM value and (b) RGB value on CIP degradation efficiency, with a rotational speed of 300 rpm.
Figure 3(b) shows the effects of ratio of grinding ball (RGB) on CIP degradation efficiency. Under the condition when only Φ10 mm balls are employed, that is, the RGB value of 3:0, the CIP degradation efficiency can reach up to 89.7% after 40 min MCT process. Comparatively, the CIP degradation efficiency is 87.6% when only Φ6 mm balls are used (RGB value of 0:3). In contrast, a higher degradation efficiency is observed (96.8%) when both Φ10 mm and Φ6 mm grinding balls (RGB value of 2: 1) are involved. Regarding the sample with RGB value of 1:2, the degradation efficiency is 95.4%. It can be seen that the collocation of different ball sizes can improve the CIP degradation efficiency, while the increasing effect is not significant. What is more, the degradation efficiency in early stages is markedly improved; the efficiency after 10 min increases from 66.5% to 92.1%, corresponding to the RGB values of 3:0 and 2:1. Since total mass of grinding balls is maintained the same, the number of balls will go down when only Φ10 mm balls are used, and the collision frequency will be reduced, finally leading to the decrease of degradation efficiency. On the other hand, the impact energy of Φ6 mm balls is lower compared with that of Φ10 mm balls, resulting from the light weight of grinding balls with small sizes. Therefore, the grinding balls with only a single size are not suitable for improving CIP degradation efficiency, and an appropriate weight ratio of grinding balls is essential in the MCT process.
Influences of ball types on CIP degradation efficiency, under the experimental conditions of rotational speed of 300 rpm, RGB value of 2:1, and RGM value of 3:1.
Influences of ball types on CIP degradation efficiency, under the experimental conditions of rotational speed of 300 rpm, RGB value of 2:1, and RGM value of 3:1.
Since the density of steel ball is notably higher than that of the rest, the best performance for CIP degradation may be attributed to this. It is noted that density is not the only influencing factor; for example, the density of zirconia ball is higher than that of ceramic ball, while the zirconia system shows a lower degradation efficiency, which may be due to the comprehensive effects of elastic modulus, Moh's hardness, etc. In addition, the number of zirconia balls is lower than that of agate balls and ceramic balls owing to the same weight, which will lead to the decrease of collision frequency and finally reduce the efficiency. Clearly, the grinding ball type can significantly influence CIP degradation efficiency, and it results from the comprehensive factors. Furthermore, it is inevitable that there will be some impurities falling from the grinding balls in the MCT process and they may act as catalysts to some extent, which needs further research in our subsequent study.
Influences of (a) initial CIP concentration and (b) pH value on CIP degradation efficiency, with a rotational speed of 300 rpm and RGB value of 2:1.
Influences of (a) initial CIP concentration and (b) pH value on CIP degradation efficiency, with a rotational speed of 300 rpm and RGB value of 2:1.
Besides, pH value is another key factor influencing solution states, and it can determine the degree of ionization of CIP molecules. In order to investigate the influence of pH value on MCT process, three conditions including acidic, neutral and alkaline environments (pH value = 3, 5, 7, 9, and 11) are set up, and the results are displayed in Figure 5(b). In acid environment, the degradation efficiency can reach as high as 87.3% after only 5 min, and CIP molecules can almost be degraded completely after 40 min (degradation efficiency >99%). However, the degradation efficiency is only 26.7% after 40 min when pH value = 11. In neutral environment, a degradation efficiency of 28.0% can be obtained after 10 min and the final efficiency can reach 75.7%. Obviously, the CIP degradation efficiency is decreasing with the increase of pH value. It is noted that some iron ions will emerge in acid environment (steel milling balls), which will contribute to the CIP degradation. In contrast, the alkaline environment is beneficial to the formation of passive layers on grinding media, finally leading to the decrease of CIP degradation efficiency. Although acid environment can promote the degradation efficiency, the erosion of milling balls and acid wastewater should also be taken into consideration.
Influences of HCO3−, Cl−, SO42−, and NO3− on CIP degradation efficiency, under the experimental conditions of steel balls serving as milling balls, rotational speed of 300 rpm and pH value of 7.
Influences of HCO3−, Cl−, SO42−, and NO3− on CIP degradation efficiency, under the experimental conditions of steel balls serving as milling balls, rotational speed of 300 rpm and pH value of 7.
In order to make the results more accurate, based on the above findings obtained from single-factor experiments, orthogonal experiments are conducted, since there are impacts of interactions between many factors. It is noted that four factors, milling rotational speed, RGM, ball type and pH value, have great influences on CIP degradation efficiency, and the results of orthogonal experiments involving these four factors are displayed in Table 3. It can be seen that a highest degradation efficiency of 95.846% is achieved when the milling rotational speed is 300 rpm, RGM is 3:1, grinding media is steel ball, and pH value is 5. As for range analysis (parameter R), the R value is 35.484, 10.191, 29.928, and 26.917, corresponding to factor A, B, C and D, respectively. Therefore, factor A (milling rotational speed) affects CIP degradation efficiency most in MCT process, and factor B (RGM) has less influence on that, while factors C and D have significant influence on that. In addition, through the mean analysis (K1, K2 and K3 values), we can conclude that the optimum combination is A1B3C1D1, that is, the milling rotational speed is 300 rpm, RGM is 5:1, grinding media is steel ball, and pH value is 5. In short, the orthogonal experiments can help us look for the main influencing factors, and guide the CIP remediation work in the real world.
Results and analysis of orthogonal experiments
Number . | Factor . | Degradation efficiency (%) . | |||
---|---|---|---|---|---|
A (Milling rotational speed) . | B (RGM) . | C (Ball type) . | D (pH value) . | ||
1 | 1 (300 rpm) | 1 (3:1) | 1 (steel ball) | 1 (5) | 95.846 |
2 | 1 | 2 (4:1) | 2 (agate ball) | 2 (7) | 56.349 |
3 | 1 | 3 (5:1) | 3 (zirconia ball) | 3 (9) | 54.469 |
4 | 2 (400 rpm) | 1 | 2 | 3 | 29.458 |
5 | 2 | 2 | 3 | 1 | 61.651 |
6 | 2 | 3 | 1 | 2 | 86.924 |
7 | 3 (500 rpm) | 1 | 3 | 2 | 28.939 |
8 | 3 | 2 | 1 | 3 | 32.047 |
9 | 3 | 3 | 2 | 1 | 39.227 |
K1 | 68.888 | 51.414 | 71.606 | 65.575 | / |
K2 | 59.344 | 50.016 | 41.678 | 57.404 | / |
K3 | 33.404 | 60.207 | 48.353 | 38.658 | / |
R | 35.484 | 10.191 | 29.928 | 26.917 | / |
Number . | Factor . | Degradation efficiency (%) . | |||
---|---|---|---|---|---|
A (Milling rotational speed) . | B (RGM) . | C (Ball type) . | D (pH value) . | ||
1 | 1 (300 rpm) | 1 (3:1) | 1 (steel ball) | 1 (5) | 95.846 |
2 | 1 | 2 (4:1) | 2 (agate ball) | 2 (7) | 56.349 |
3 | 1 | 3 (5:1) | 3 (zirconia ball) | 3 (9) | 54.469 |
4 | 2 (400 rpm) | 1 | 2 | 3 | 29.458 |
5 | 2 | 2 | 3 | 1 | 61.651 |
6 | 2 | 3 | 1 | 2 | 86.924 |
7 | 3 (500 rpm) | 1 | 3 | 2 | 28.939 |
8 | 3 | 2 | 1 | 3 | 32.047 |
9 | 3 | 3 | 2 | 1 | 39.227 |
K1 | 68.888 | 51.414 | 71.606 | 65.575 | / |
K2 | 59.344 | 50.016 | 41.678 | 57.404 | / |
K3 | 33.404 | 60.207 | 48.353 | 38.658 | / |
R | 35.484 | 10.191 | 29.928 | 26.917 | / |
The toxicity of CIP solution with the increase of reaction time, under the experimental conditions of steel balls serving as milling balls, rotational speed of 300 rpm and pH value of 7.
The toxicity of CIP solution with the increase of reaction time, under the experimental conditions of steel balls serving as milling balls, rotational speed of 300 rpm and pH value of 7.
CONCLUSION
In this study, mechanochemical treatment was employed to degrade CIP in aquatic solutions. The influences of some experimental parameters including milling rotational speed, milling time, ratio of grinding ball to material, ratio of grinding balls, grinding ball type, initial CIP concentration, pH value, and co-existing inorganic ions on CIP degradation efficiency were investigated and discussed. Based on the results of single-factor experiments, orthogonal experiments were designed and conducted, and the optimum combination is the milling rotational speed 300 rpm, RGM 5:1, grinding media steel ball, and pH value 5. Besides, the toxicity of CIP solution at different times was also studied. In brief, although mechanochemistry in solution is very rare, we believe that this topic is worth studying based on the previous work and our research. And the results in this work show that mechanochemical treatment is an effective approach to degrade CIP in solutions. Moreover, it has many advantages such as simplicity, low cost, and environmentally innocuous nature, which make it a promising candidate for remediation of CIP and other organic pollutants.
ACKNOWLEDGEMENTS
This work was supported by National Key Research and Development Program of China (No. 2021YFC2902100, 2021YFC2902701, 2019YFC1805600 and 2018YFC1801800), Fundamental Research Funds for the Central Universities (NO. 2022QN1051), Shandong Provincial Major Science and Technology Innovation Project (No. 2021CXGC011206), and Key Projects of National Natural Science Foundation of China (NO. 52130402).
DATA AVAILABILITY STATEMENT
All relevant data are included in the paper or its Supplementary Information.
CONFLICT OF INTEREST
The authors declare there is no conflict.