
Occupational and environmental exposure to agrochemicals, more commonly to pesticides, result in serious health hazards. While less than 1% of applied agro-chemicals are effective against pests, most of the synthetic compounds persist in soil or leach to groundwater and thereby contaminating wider habitats. The impact of bioaccumulation and biomagnifications of agro-POPs in mammals or humans are overwhelming. Biological methods employed for decontamination have proved to be effective than the conventional and expensive physicochemical methods. Individual bacteria or consortia of soil microbes, either indigenous or genetically modified, carry out microbial remediation through variety of biochemical pathways. Most of the instances these biochemical pathways are coupled with their inherent metabolic pathways of growth and development. The key tools in the degradation process are the enzymes, acted extra-cellularly (breakdown of polymeric structure) or intra-cellularly (mineralization). Most commonly used microbes or their enzymes include species from Pseudomonas, Micrococcus, Acetobacter and Bacillus genera. Exploring and exploiting the microbial and genetic resource may reduce the threat of non-degradation of xenobiotic pollutants. This chapter will give an account on bacteria involved in degradation of different groups of persistent agrochemicals and discuss biotechnological methods helpful in improving agro-chemical degradation.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
