| Chapter title |
Exposure to Crystal Violet, Its Toxic, Genotoxic and Carcinogenic Effects on Environment and Its Degradation and Detoxification for Environmental Safety
|
|---|---|
| Chapter number | 4 |
| Book title |
Reviews of Environmental Contamination and Toxicology Volume 237
|
| Published in |
Reviews of Environmental Contamination and Toxicology, January 2016
|
| DOI | 10.1007/978-3-319-23573-8_4 |
| Pubmed ID | |
| Book ISBNs |
978-3-31-923572-1, 978-3-31-923573-8
|
| Authors |
Sujata Mani, Ram Naresh Bharagava, Mani, Sujata, Bharagava, Ram Naresh |
| Abstract |
Crystal Violet (CV), a triphenylmethane dye, has been extensively used in human and veterinary medicine as a biological stain, as a textile dye in textile processing industries and also used to provide a deep violet color to paints and printing ink. CV is also used as a mutagenic and bacteriostatic agent in medical solutions and antimicrobial agent to prevent the fungal growth in poultry feed. Inspite of its many uses, CV has been reported as a recalcitrant dye molecule that persists in environment for a long period of time and pose toxic effects. It acts as a mitotic poison, potent carcinogen and a potent clastogene promoting tumor growth in some species of fish. Thus, CV is regarded as a biohazard substance. Although, there are several physico-chemical methods such as adsorption, coagulation and ion-pair extraction reported for the removal of CV, but these methods are insufficient for the complete removal of CV from industrial wastewaters and also produce large quantity of sludge containing secondary pollutants. However, biological methods are regarded as cost-effective and eco-friendly for the treatment of industrial wastewaters, but these methods also have certain limitations. Therefore, there is an urgent need to develop such eco-friendly and cost-effective biological treatment methods, which can effectively remove the dye from industrial wastewaters for the safety of environment, as well as human and animal health. |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 389 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 59 | 15% |
| Student > Bachelor | 32 | 8% |
| Researcher | 27 | 7% |
| Student > Master | 24 | 6% |
| Lecturer | 12 | 3% |
| Other | 37 | 10% |
| Unknown | 198 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 59 | 15% |
| Chemical Engineering | 20 | 5% |
| Engineering | 16 | 4% |
| Agricultural and Biological Sciences | 11 | 3% |
| Materials Science | 10 | 3% |
| Other | 50 | 13% |
| Unknown | 223 | 57% |