Opportunity to work out a new paradigm of practice for designing sustainable infrastructure is offered by technology based on biological methods.
Genetic algorithm (GA) is a self-organized and adoptive artificial intelligent (AI) technology based on the simulation of Darwin's Biological Evolution Theory and Mendel's Genetic Variation/Mutation Theory.
As they can reveal exceptionally small quantities of biological molecules, they could be used in sensors that are better than existing technology based on DNA probes.
Optical molecular imaging technology is an emerging technology, based on genomics, proteomics, and modern optical technology.
Several ecoremediation technologies based on biological methods [ 12, 13] have been developed for soil decontamination.
For biological systems that lack the sequence information necessary for development of microarrays, several alternative technologies based on cDNA fragment analysis or cDNA sequencing have been developed.
The application of text mining technologies based on large collections of known texts, such as the MEDLINE data base, has become especially popular in the area of biological and medical information processing [ 1, 2].
Particularly notable in this field are BioMoby Central (Wilkinson and Links, 2002), and the DAS Registry (Prlic et al., 2007), which provide single points of contact for finding biological services based on those specific technologies.
The technology development based on biological delignification requires the use of a microorganism, which should degrade lignin selectively, rapidly, and exhaustively; process hard wood and soft wood equally and has high growth rate [ 3].
Biological approaches based on industrial and environmental biotechnology is focusing on the development of "clean technologies" which emphasizes on the maximum production, reduced waste generation, treatment and conversion of waste in some useful form.
