Volume 1 • Issue 7 • 1000121J Biotechnol BiomaterialISSN:2155-952X JBTBM an open access journal

Review Article Open Access

Sai, et al. J Biotechnol Biomaterial 2011, 1:7 DOI: 10.4172/2155-952X.1000121

*Corresponding author: SAI YRKM, GITAM Institute of Sciences, GITAM University, Visakhapatnam, A.P, INDIA. Tel. +91 9160066147; E-mail: csaiyrkm2454@gmail.com

Received November 25, 2011; Accepted December 19, 2011; Published December 21, 2011

Citation: Sai YRKM, Siva Kishore N, Dattatreya A, Anand SY, Sridhari G (2011) A Review on Biotechnology and Its Commercial and Industrial Applications. J Biotechnol Biomaterial 1:121. doi:10.4172/2155-952X.1000121

Copyright: © 2011 Sai YRKM, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

A Review on Biotechnology and Its Commercial and Industrial ApplicationsSai YRKM1*, Siva Kishore N1, Dattatreya A1, Anand SY1 and Sridhari G2

1Gitam Institute of Sciences, GITAM University, Visakhapatnam, Andhra Pradesh2Department of Microbiology, DNR College, Bhimavaram, Andhra Pradesh

Keywords: Biotechnology; Genetic Engineering; BioprocessingTechniques; Biomaterials

IntroductionContrary to its name, biotechnology is not a single technology.

Rather it is a group of technologies that share two (common) character-istics working with living cells and their molecules and having a wide range of practice uses that can improve our lives.

Biotechnology can be broadly defined as “using organisms or their products for commercial purposes.” As such, (traditional) biotechnol-ogy has been practices since the beginning of records history. Bak-ing bread, brewing alcoholic beverages, and breeding food crops or domestic animals were the early days’ biotechnology application. But recent developments in molecular biology have given biotechnology new meaning, new prominence, and new potential. It is now Modern biotechnology that has captured the attention of the public. Modern biotechnology can have a dramatic effect on the world economy and society.

Applications of Biomaterials in BiotechnologyBiotechnology of biomaterials is use of metals and chemicals as

Biomaterials and bio-soft-materials (bio-nano-composites) like Hy-droxyapatite, Zirconia, Alumina [1] used in the dental implants, in turn the production of Hydroxyapatite from garden snail shell (Helix Asper-sa) is also an amazing application of biotechnology [2]. Preceding to this Titanium in a process, induces osteoblastic bone marrow stem cells differentiation [3], silicone dispersions in the manufacture of murine ventricular inflating for the langendorff heart grounding [4], use of Gly-cine betaine as an effective compatible solute is which maintains fluidity of membranes and protects the biological structure of the organisms [5] under stress is another criteria of biotechnological application. A more recent and promising exploitation of membrane Transglutaminase (mTG) is related to the production of the so-called “Bioplastics” both biodegradable and edible [6]. Development of certain technologies like Response Surface Method (RSM) has made easier optimization of li-pase mediated catalytic activity [7] and critical extraction parameters for Anthocyanin from Solanum melongena [8] and It also made easier for the Mycoprotein production from Fauna like Fusarium venenatum ATCC 20334 [9]. In spite of all these application of Biomaterials there were novel methods being developed for the voidance of microbial ad-hesion [10], as if creation is not only the criteria of biotechnology but

also the protection of the created is also a part, and thus the protection is through the same microbial community which produces microbial bio-surfactants.

Bioactive glass (BAG) S53P4 is a bone bonding biomaterial, osteo-conductive and osteostimulative bone substitute with proven antibac-terial properties, which is a result and innovative thought of Lindfors NC. (2011). BAG S53P4 was used in treatment of an infected com-minuted olecranon fracture. This substitution was monitored and fol-lowed up which implied no re-infection [11].

Dragging all these aside nanoparticles have been an imminent issue in the field of biotechnology (Nanotechnology), their interference with the Quantum dots. To have a brief explanation about the quantum dots, a quantum dot is a portion of matter (e.g. semiconductor) whose exci-tons are confined in all three spatial dimensions. Consequently, such materials have electronic properties intermediate between those of bulk semiconductors and those of discrete molecules [12,13,14]. They were discovered at the beginning of the 1980s by Alexei Ekimov et al. [81]. in a glass matrix and by Louis E. Brus in colloidal solutions. The term “quantum dot” was coined by Mark Reed et al. [82]. Researchers have studied quantum dots in transistors, solar cells, LEDs, and diode la-sers. They have also investigated quantum dots as agents for medical imaging and hope to use them as qubits. Preparation of Biocompatible Quaternized Chitosan bio-nano-particles Encapsulating CdS Quan-tum Dots has been formulized [15]. Today Nanomaterials have been designed for a variety of biomedical and biotechnological applications, these Nanoparticles [83] or nanoporous sol- gel particles [84] function-

AbstractThis review states the applications of biology in the technical way. More complex statement can be given since

in these days the applications of the biotechnology are developing and very vastly implementing logical studies in present trends. Here in this review we can discuss briefly about the applications and the areas where biotechnology is at utmost level of importance, these applications include three major wings of diffractive studies in biotechnology. Biomaterials are exactly termed as the Allograft, Auto-graft, and Xenograft. Genetic engineering is a major study appended to rule the living being future. The bio-availability of the products from MO’s useful in bioprocesses all around in pharmaceuticals, breweries, small scale industries etc., were said to be enlightened by biotechnological applications.

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Citation: Sai YRKM, Siva Kishore N, Dattatreya A, Anand SY, Sridhari G (2011) A Review on Biotechnology and Its Commercial and Industrial Applications. J Biotechnol Biomaterial 1:121. doi:10.4172/2155-952X.1000121

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alized with organic groups can be used as biomarkers, tracer, and drug delivery systems with even all-in-one functionalities [16].

Biotechnology in Genetic EngineeringGenetic engineering is the process of transferring individual genes

between organisms or modifying the genes in an organism to remove or add a desired trait or characteristic. Examples of genetic engineer-ing are described later in this document. Through genetic engineering, genetically modified crops or organisms are formed. These GM crops or GMOs are used to produce biotech-derived foods. It is this spe-cific type of modern biotechnology, genetic engineering that seems to generate the most attention and concern by consumers and consumer groups. What is interesting is that modern biotechnology is far more precise than traditional forms of biotechnology and so is viewed by some as being far safer.

In silico analysis and emphasis’ have been in current research as the comparative insilico analysis and insilico Sequence analysis of ascor-bate peroxidase protein sequences from different plant species [17] and glycine betaine biosynthesis genes in Bacillus subtilis [5] were studied respectively. In silico sequence analysis revealed that the GbsA and GbsB sequences of B. subtilis were conserved in many eubacteria. The studies in the findings of the present study may be useful for designing degen-erate primers or probes specific for APX and possibly presents the first line of defense amongst all the Ascorbate PeroXidase isoforms involved in the cellular antioxidant defense pathway, during exposure to abiotic stresses. a discrete event based stochastic modeling approach for study-ing the molecular dynamics of cells has been proposed based on the simulation methodology and present the mathematical formalism un-derlying the in silico system[18].

Many gene therapies have been reported during last decade, ge-netic variations and epigenetic patterns in autoimmunity [19] and in Developmental Disorders like ADHD and Endophenotypes [20] have been noted. Epigenetic patterns may have cumulative effects on disease progression and outcome and should therefore be investigated together.

Ex-vivo gene transfer technology is also an appended study from that of genetic engineering; this might be through any means of ways like, vector based transfer systems, virus vector based transfer systems and etc. for instance, High efficiency ex-vivo gene transfer to primary murine b-cells using plasmid or viral vectors [21]. Specified gene ther-apy targeting on LDL cholesterol [22] and CD47- a tissue based thera-peutic targeting [23] has come into an existence due to an astounding debut of gene transfer technique which is a result of biotechnology.

One of the exploring technique in biotechnology is the Metabolite Profiling and Gene Expression, it is now more widely being applied to catalogue all (or most of) the biochemical’s associated with an organ-ism’s metabolism (or metabolome) [24]. Metabolic profiling parallels techniques measuring changes in gene expression such as 2-D gel [25] and mass spectrometric protein profiling [26], serial analysis of gene expression [27], and cDNA microarray analysis [28]. Both the meta-bolic and gene expression approaches address the phenotypic plasticity of a particular organism but from different perspectives. There was a registered study on Streptomyces tenjimariensis’s, [29] and many other organisms.

Cervical cancer is one of the most common cancers in women. Hu-man Papillomavirus (HPV) is the primary cause of cervical, anal, vul-var, vaginal and penile cancers as well as genital warts. Over 120 types of HPV have been isolated with more than 40 of these types infecting the epithelial lining of the anal and genital tracts [30]. The HPV vac-

cines as we came across, says that they were recombinant and geneti-cally prepared vaccines [31], to date, two prophylactic HPV vaccines are currently available in the Canadian market namely Gardasil® and Cervarix®. Gardasil, (approved in Canada July 2006) is Merck’s quadri-valent HPV recombinant vaccine against HPV types 6, 11, 16 and 18. Gardasil® is approved for both men and women aged 9 to 26 years of age [32]. On the other hand, Cervarix (approved in Canada February 2010) is GlaxoSmithKline bivalent HPV recombinant vaccine against HPV types 16 and 18. Cervarix ® is approved for women aged 10 to 25 years of age and has showed a safety profile in women aged 15 to 55 years of age. the availability of quadrivalent and bivalent prophylactic HPV vaccines represents the best hope for preventing most cases of cervical cancer and HPV-associated diseases [33]. However, the reduction in the economic burden caused by HPV screening is yet to be determined.

Biotechnology in Bioprocessing TechniquesIn Bioprocesses like biochemical processes, maximum expendi-

ture (50%) of the experiment lies in down streaming process [34], in the phenomenon of reduction in the time and primary recovery of the down streaming process, many methods have been developing where the right and effective strain is important to be chosen for the mass and qualitative production, for instance IMB2 was found to be the best Xy-litol producer among the IMB yeast, when considering the production of Xylitol by the thermo tolerant Kluyveromyces marxianus IMB Strains [35]. Similarly, for the better extraction itself in some of the processes a indicator test like Dehydrogenase test for Monitoring the Growth of Streptomyces venezuelae in a nutrient rich medium which eventually lead to a large or small scale production of a potential antibiotic named Jadomycin (anti-carcinogenic cytotoxicity) in stated study [36]. Mean while, process-specific parameters affect product recovery flux and areas within the process where optimization can be performed to in-crease throughput and decrease cost. Thus a cohort study on penicillin production had been conducted with a various factors differentiating in those studies. One of the studies was on sterilization time [37]. The coherent study has been conducted in relation to the properties of the influencing factors in the process of the production.

One of the earnest methodologies in the Bioprocessing techniques is Response Surface Methodology (RSM) it has many applications in the modern Processing units and studies. It can make easier optimiza-tion of Production of various Proteins like Mycoproteins [29], Enzymes (= Protein) [5] and other compounds like pigments or more limpidly Flavonoids [28]. In contrast to these, Non-molecular systems biology is aimed at the prediction of the functional features of bio-systems/ bio-techniques on the basis of known cell proteomes and interactomes [38]. This beautiful implementation leads to the outgrowth of biotechnology in the field of bio-processing and biotechnical areas.

The field of Bioprocessing studies has lead to a brother wing from the actual stream and this lead to the development of biotechnical stud-ies and its application, for instance, the Rapid detection of H. pylori strains by PCR-Sequencing [39] is one of the examples for the route into technical aspects in biology.

In even more advanced stage an awareness study or more keenly a unique study type was held to determine the microbial population in an air-conditioned space of a very inglorious scientific museum [40], which states the present position of the biotechnological advancements in the bio-based processes.

Citation: Sai YRKM, Siva Kishore N, Dattatreya A, Anand SY, Sridhari G (2011) A Review on Biotechnology and Its Commercial and Industrial Applications. J Biotechnol Biomaterial 1:121. doi:10.4172/2155-952X.1000121

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Biotechnological pertinence in Biosensors and Bioelec-tronics

Cadmium can cause bone demineralization, either through direct bone damage or indirectly as a result of renal dysfunction [41]. Trace metals such as Pb, Cd, Zn, Cu, Cr and as are potential bio-accumula-tive toxins in the production system of milk and dairy products [42]. Cadmium may enter the body through food, water, air or absorption through the skin however food and smoking are the main source of exposure in the non-occupationally exposed population [43]. A novel absorption-transmission based, miniaturized fiber optic biosensor has been developed for the detection of cadmium in milk [44]. In contrast to the above, The application of nano-scale materials for electrochemi-cal biosensors has been grown exponentially due to high sensitivity and fast response time [45,46]. For instance, a urea biosensor is being developed, the ordered and self-organized nano-array structures, by Mn2+ doping in TiO2 thin films deposition on conducting substrates by dip coating technique [47]. In contemporary to this biosensor study there evolved a parallel study none other a “Nano-biosensor” study, the blend of biosensors and nanotechnology is blatant even from a per-functory examination of the scientific literature said by Achyuthan K. [48]. Numerous aspects of the anchorage dependent cell functions, including survival, proliferation, differentiation and migration can be regulated by the rigidity of ECM. Adhesions guide these diverse pro-cesses both by mediating force transmission from the cell to the flexible substrate and by controlling biochemical signaling pathways [49]. The above mechanosensitivity validations or calculations can be done by the nano-biosensor designs which can become a pioneering research work. Recently cluster analysis methods like multivariate data analy-sis methods namely hierarchical cluster analysis (HCA) and principal component analysis (PCA) [50] were used to assay the receptor signal-ing mechanisms which can also be implemented in and as biosensors or more politely nano-biosensors. The findings above lead to Amperomet-ric biosensor [58] basing on enzyme from Brassica napus hairy roots to determine ochratoxin A, is a colorless crystalline compound that belongs to a group of closely related derivatives of isocumarin linked to L-phenylalanine and classified as pentaketides [59].

In medical and health care applications it was always desirable to perform pre-processing and conditioning on the sensor raw output before data acquisition. Based on this requirement, biosensor was pro-posed and designed using conducting polymers and nano - materials which were having In-situ Signal Conditioning Electronics that elimi-nates need for additional on board hardware circuitry. A work focused on Optimized Design of Smart Sensor using Conducting Polymer and Gold/Silver/CNT Nanocomposites Polyaniline (PANY) has been se-lected as the Conducting polymer on which surface CNT thin layer will be deposited using Sol-Gel technique [51]. A detailed design of an opti-cal biosensor using polymeric waveguides intended for blood glucose concentration measurements was presented [85]. Besides this, a novel integrated optic accelerometer employing a cantilever on a silicon sub-strate is proposed [86], which has wide variety of appliance not only in optics but also in silicon based organism and that can be used for the detection of sensible parameters when it’s basic platform of silicon is used. An analysis is carried out to demonstrate the feasibility of the proposed sensor in a cohort study, terming it’s diligence in optic sensor technology, we can make its alliance in the field of Biotechnology.

All biological molecules and cell organelles are chemo mechanical-ly controlled systems known to every biologist. It is an interdisciplinary art to activate them and work as an electronic device [52]. This logic

lead to construction of micro tubule (MT) molecule which is modeled to function as a diode in electronic parameters.

Besides all the above developing an Immunosensor is a task related to (or) dependent on immobilization of antibody molecules, which be-comes a influential factor for successful fabrication of immunosensors [53]. This involves Screen- printing technology.

Photoacoustic imaging technique have been developed which works on combinatorial approach of ultrasound spatial resolution and intrinsic rich optical contrast, which penetrates deep into the tissues [54,55] with acoustic ultra sounds and which promises the a very spe-cial detection tool in diagnostic medicine[56]. By the way to determine a general motor program Thomas JR et al. [57], demonstrated all as-pects of overhand throwing, using a 12 camera Vicon motion analysis system. This is a cohort study on the motion by using bio-electronic signals.

Biometrics and Biostatistics in BiotechnologyWhen there is a rare disease in a population, it is inefficient to take

a random sample to estimate a parameter. Instead one takes a random sample of all nuclear families with the disease by ascertaining at least one sibling (proband) of each family techniques like maximum likeli-hood method [61,62], ANOVA are helpful [63]. In epidemiological and clinical research bias analysis is used for the principal stratum direct ef-fect in the presence of confounded intermediate variables [64]. For oc-currence rates of certain recurrent events such as disease infections and discuss nonparmametric comparison of several treatment groups two test procedures are developed using statistics [65]. In pediatric quality of care Bayesian Analysis using power priors are used [66], even longi-tudinal data obtained by Gibbs sampling can be calculated by Bayesian quantile regression [67]. Three types of statistical methods, distance based, quadrat and regression methods, are applicable to point data, i.e. data collected at the individual level, including precise measures of sub-ject residential location is used in geographic spatial epidemiology [68]. Exploratory factor analysis (EFA) and Principal Component’s analysis (PCA) have both been important tools for researchers for a long time andhave become increasingly common and accessible to computing. For this to resolve binomial logistic multiple regression helped [69]. Testing for the homogeneity of density functions of circular random variables is useful in many biotechnological settings like paleocurrents trends [70]. A colon cancer study in which the investigators wished to assess the efficacy of adjuvant therapy on recurrence of cancer and death for patients with resected colon cancer, for this General Box-Cox Transformation Model for Recurrent Events Data is applied to calculate the recurrence [71]. In automatic finger-print identification system, various statistical methods are implemented in the algorithms used [72]. Probabilistic framework and associated statistical inference methodology is used in analysing the microarray data obtained from confirmatory experimental studies of gene expression in Saccharomy-ces cerevisiae using Affymetrix Genechips® [73], even Least square [74] method is also used. Using only the transcription network structure information, a probabilistic model was developed that computes the probabilities with which a pair of genes responds simultaneously (SR) or differentially (DR) to a random network perturbation [75]. Various other methods like survival function in log-logistic distribution, pro-portional odds regression [76], Exact Waiting Time Survival Function [77], Parametric and Non-Parametric Models [78], Logistic regression [79], for vectors and integration in gene therapy Peaks height distribu-tion is used [80], are also used.

Citation: Sai YRKM, Siva Kishore N, Dattatreya A, Anand SY, Sridhari G (2011) A Review on Biotechnology and Its Commercial and Industrial Applications. J Biotechnol Biomaterial 1:121. doi:10.4172/2155-952X.1000121

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ConclusionWhatever the synthesis from bioprocess may be, whatever the ma-

terial used as biomaterial, whatever organism which is “GE” i.e “Ge-netically Engineered”, whatever the sensor or the receptor in the field, there is a relation between each research studies; that is nothing but the field of biotechnology. This is the key role player subject in the pres-ent trend studies. Here in this review I overviewed on the diligence of biotechnology in main track streams of biotechnology like biomateri-als, biosensors, genetic engineering, biometrics, biostatistics and finally bioprocesses. Here I feel I have reviewed relatively close once and have claimed that the processes or phenomenon described in each sub-heads in the present review contains peculiar applications of techniques in biotechnology, the above mentioned are very fast growing industries commercially, despite facing some problems in genetic engineering. These days biotechnology has been developed in such an extent where, the preservation of human Adipose tissue [60] can be done accordingly in Human plasma and that technique can be cryopreservated.

References

1. Yousefpour M, Askari N, Abdollah-Pour H, Amanzadeh A, Riahi N (2011) Inves-tigation on Biological Properties of Dental Implant by Ce-TZP/Al2O3/HA Bio-nano-composites. J Biotechnol Biomaterial 1:105.

2. Singh A, Purohit KM (2011) Chemical Synthesis, Characterization and Bioactiv-ity Evaluation of Hydroxyapatite Prepared from Garden snail (Helix aspersa). J Biotechnol Biomaterial 1:104.

3. Miller A, Wright GL (2011) Fabricationof Murine Ventricular Balloons for the Langendorff Heart Preparation. J Biotechnol Biomaterial 1:101. http://www.omicsonline.org/2155-952X/2155-952X-1-101.php

4. V, Palmieri A, Girardi A, Farinella F, Carinci F (2011) Trabecular Titanium In-duces Osteoblastic Bone Marrow Stem Cells Differentiation. J Biotechnol Bio-material 1:102.

5. Rajan LA, Vinodhini K, Rajalakshmi Y, Umashankar V (2011) Molecular Clon-ing and In Silico Sequence Analysis of Glycine Betaine Biosynthesis Genes in Bacillus subtilis. J Biotechnol Biomaterial 1:103.

6. Porta R, Di Pierro P, Sorrentino A, Mariniello L (2011) Promising Perspectives for Transglutaminase In “Bioplastics” Production. J Biotechnol Biomaterial 1:102e.

7. Syamsul Kamar MW, Salina MR, Siti Salhah O, Hanina MN, Mohd Basyarud-din AR (2011) Optimization of Lipase Catalyzed Synthesis of Nonyl Caprylate using Response Surface Methodology (RSM). J Biotechnol Biomaterial 1:106.

8. Thirunavukkarasu A, Nithya R (2011) Response Surface Optimization of Critical Extraction Parameters for Anthocyanin from Solanum melongena. J Biopro-cess Biotechniq 1:103.

9. Hosseini SM, Khosravi-Darani K (2010) Response Surface Methodology for Mycoprotein Production by Fusarium Venenatum ATCC 20334. J Bioprocess Biotechniq 1:102.

10. Rodrigues LR (2011) Novel Approaches to avoid Microbial Adhesion onto Bio-materials. J Biotechnol Biomaterial 1:104e.

11. Lindfors NC (2011) Clinical Experience on Bioactive Glass S53P4 in Recon-structive Surgery in the Upper Extremity Showing Bone Remodelling, Vascu-larization, Cartilage Repair and Antibacterial Properties of S53P4. J Biotechnol Biomaterial 1:111.

12. Brus LE (2007). “Chemistry and Physics of Semiconductor Nanocrystals”. Re-trieved 2009-07-07.

13. Norris DJ (1995). “Measurement and Assignment of the Size-Dependent Opti-cal Spectrum in Cadmium Selenide (CdSe) Quantum Dots, PhD thesis, MIT”. Retrieved 2009-07-07.

14. Murray CB, Kagan CR, Bawendi MG (2000) Synthesis and Characterization of Monodisperse Nanocrystals and Close-Packed Nanocrystal Assemblies. An-nual Review of Materials Research 30: 545–610.

15. Li Y, Hu M, Qi B, Wang X, Du Y (2011) Preparation and Characterization of Bio-compatible Quaternized Chitosan Nanoparticles Encapsulating CdS Quantum Dots. J Biotechnol Biomaterial 1: 108.

16. Menaa B (2011) The Importance of Nanotechnology in Biomedical Sciences. J Biotechnol Biomaterial 1:105e

17. Pandey S, Negi YK, Marla SS, Arora S (2011) Comparative Insilico Analysis of Ascorbate Peroxidase Protein Sequences from Different Plant Species. J Bioengineer & Biomedical Sci 1:103.

18. Ghosh S, Ghosh P, Basu K, Das SK, Daefler S (2011) A Discrete Event Based Stochastic Simulation Platform for ‘In silico’ Study of Molecular-level Cellular Dynamics. J Biotechnol Biomaterial S6:001.

19. Hedrich CM (2011) Genetic Variation and Epigenetic Patterns in Autoimmunity. J Genet Syndr Gene Ther 2:0e2.

20. Archer T, Berman MO, Blum K (2011) Epigenetics in Developmental Disorder: ADHD and Endophenotypes. J Genet Syndr Gene Ther 2:104.

21. Moghimi B, Zolotukhin I, Sack BK, Herzog RW, Cao O (2011) High Efficiency Ex Vivo Gene Transfer to Primary Murine B Cells Using Plasmid or Viral Vec-tors. J Genet Syndr Gene Ther 2:103.

22. David RS, Jeff SI, David DR (2011) Therapeutic Targeting of CD47 to Modulate Tissue Responses to Ischemia and Radiation. J Genet Syndr Gene Ther 2: 105

23. Li R, Chao H, Ko KWS, Cormier S, Dieker C, et al.(2011) Gene Therapy Target-ing LDL Cholesterol but not HDL Cholesterol Induces Regression of Advanced Atherosclerosis in a Mouse Model of Familial Hypercholesterolemia. J Genet Syndr Gene Ther 2:106.

24. Mendes P (2002) Emerging bioinformatics for the metabolome. Brief Bioinform 3: 134-145.

25. O’Farrell PH (1975) High resolution two-dimensional electrophoresis of pro-teins. J Biol Chem 250: 4007-4021.

26. Aebersold R, Mann M (2003) Mass spectrometry-based proteomics. Nature 422: 198-207.

27. Velculescu VE, Zhang L, Vogelstein B, Kinzler KW (1995) Serial analysis of gene expression. Science 270: 484-487.

28. Schena M, Shalon D, Davis RW, Brown PO (1995) Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science 270: 467-470.

29. Denery JR, Cooney MJ, Li QX (2011) Diauxic and Antimicrobial Growth Phases of Streptomyces Tenjimariensis: Metabolite Profiling and Gene Expression. J Bioengineer & Biomedical Sci 1:101.

30. Steben M, Duarte-Franco E (2007) Human papillomavirus infection: Epidemiol-ogy and pathophysiology. Gynecologic Oncology 107: S2-5.

31. Shehata MF, Pater A (2011) Human Papillomavirus (HPV) Vaccine: Is it worth-while?. J Biotechnol Biomaterial 1:103e.

32. Morris SK, Nguyen CK (2008) The human papillomavirus vaccine in canada. Canadian Journal of Public Health. Revue Canadienne De Sante Publique. 99: 114-116.

33. Trottier H, Franco EL (2006) Human papillomavirus and cervical cancer: Bur-den of illness and basis for prevention. The American Journal of Managed Care 12: S462-72.

34. Lee T, Amore TD (2011) Membrane Separation Theoretical and Applicable Considerations for Optimum Industrial Bioprocessing. J Bioprocess Biotechniq 1: 101e.

35. Mueller M, Wilkins MR, Banat IM (2011) Production of Xylitol by the Thermotol-erant Kluyveromyces marxianus IMB Strains. J Bioprocess Biotechniq 1: 102e

36. Burdock TJ, Brooks MS, Ghaly AE (2011) A Dehydrogenase Activity Test for Monitoring the Growth of Streptomyces Venezuelae in a Nutrient Rich Medium. J Bioprocess Biotechniq 1: 101.

37. Gopalakrishnan KK, Detchanamurthy S (2011) Effect of Media Sterilization Time on Penicillin G Production and Precursor Utilization in Batch Fermenta-tion. J Bioprocess Biotechniq 1: 105.

38. Piccoli S, Giorgetti A (2011) Perspectives on Computational Structural Bio-Sys-tems. J Bioprocess Biotechniq 1: 104e.

39. Banerjee HN, Gramby M, Hawkins Z (2011) Molecular Diagnosis of Helico-bacter Pylori Strain by 16S rDNA PCR Amplification and Direct Sequencing. J Bioprocess Biotechniq 1: 105e.

40. Augusto da Costa AC, da Silva Lino LA, Hannesch O (2011) Total Microbial

Citation: Sai YRKM, Siva Kishore N, Dattatreya A, Anand SY, Sridhari G (2011) A Review on Biotechnology and Its Commercial and Industrial Applications. J Biotechnol Biomaterial 1:121. doi:10.4172/2155-952X.1000121

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Populations in Air-Conditioned Spaces of a Scientific Museum: Precautions Related to Biodeterioration of Scientific Collections. J Bioprocess Biotechniq 1: 106.

41. European Food Safety Authority (2009) Cadmium in food: Scientific opinion of the Panel on Contaminants in the Food Chain. The EFSA Journal 980: 1-139.

42. Li Y, McCrery DF, Powell JM, Saam H, Jackson-Smith D (2005) A Survey of Selected Heavy Metal Concentration in Wisconsin Dairy Feeds. J Dairy Sci 88: 2911-2922.

43. Li GY, Kim M, Kim JH, Lee MO, Chung JH, et al. (2008) Gene expression profil-ing in human lung fibroblast following cadmium exposure. Food Chem Toxicol 46: 1131-1137.

44. Verma N, Kumar S, Kaur H (2010) Fiber Optic Biosensor for the Detection of Cd in Milk. J Biosens Bioelectron 1: 102.

45. Musameh M, Wang J, Merkoci A, Lin Y (2002) Low-potential stable NADH de-tection at carbon-nanotube-modified glassy carbon electrodes. Electrochemis-try Communications 4: 743-746.

46. Dequaire M, Degrand C, Limoges B (2000) An electrochemical metalloimmuno-assay based on a colloïdal gold label. Anal Chem 72: 5521- 5528.

47. Pandey RR, Saini KK, Dhayal M (2010) Using Nano-Arrayed Structures in Sol-Gel Derived Mn2+ Doped Tio2 for High Sensitivity Urea Biosensor. Journal of Biosensors & Bioelectronics 1: 001-004.

48. Achyuthan K (2011) Whither Commercial Nanobiosensors? J Biosens Bioelec-tron 2: 102e.

49. Sarvestani AS (2011) On the Effect of Substrate Compliance on Cellular Motil-ity. J Biosens Bioelectron 2: 103.

50. Tateishi A, Cauchi M, Tanoue C, Migita S, Coleman SK, et al. (2011) Discerning Data Analysis Methods to Clarify Agonistic/Antagonistic Actions on the Ion Flux Assay of Ligand-Gated Ionotropic Glutamate Receptor on Engineered Post-Synapse Model Cells. J Biosens Bioelectron 2: 104.

51. Usha A, Ramachandra B, Dharmaprakash MS (2011) Bio Signal Conditioning and Processing For Biological Real Time Applications Using MixedSignal Pro-cessor. J Biosens Bioelectron 2: 105.

52. Henry R, Durai, Net S, Balraj A, Priya WS (2011) Modeling a Micro Tubule as a Diode. J Biosens Bioelectron 2: 106.

53. Lien TTN, Viet NX, Chikae M, Ukita Y, Takamura Y (2011) Development of Label-Free Impedimetric Hcg-Immunosensor Using Screen-Printed Electrode. J Biosens Bioelectron 2: 107.

54. Brecht H, Su R, Fronheiser M, Ermilov SA, Conjusteau A, et al. (2009) Whole body three-dimensional optoacoustic tomography system for small animals. J Biomed Opt 14: 064007.

55. Sun Y, Sobe ES, Jiang H (2011) First assessment of three-dimensional quan-titative photoacoustic tomography for in vivo detection of osteoarthritis in the finger joints. Med Phys 38: 4009.

56. Sun Y, Jiang H, O’Neill BE (2011) Photoacoustic Imaging: An Emerging Optical Modality in Diagnostic and Theranostic Medicine. J Biosens Bioelectron 2:108.

57. Thomas JR, Alderson JA, Thomas KT, Campbell AC, Edwards WB, et al. (2011) Is There a General Motor Program for Right Versus Left Hand Throwing in Children? J Biosens Bioelectron S1: 001.

58. Ramírez EA, Granero AM, Zón MA, Fernández H (2011) Development of an Amperometric Biosensor Based on Peroxidases from Brassica napus for the Determination of Ochratoxin a Content in Peanut Samples. J Biosens Bioelec-tron S3: 001.

59. Steyn P S (1984) Ochratoxins and related dihydro-isocoumarins, in: Bettina V (Ed.), Mycotoxins: Production, Isolation, Separation and Purification, Elsevier, New York, p. 183.

60. Kim JB, Lee HM, Kim SY, Park KS, Bae J, et al. (2011) Cryopreservation of Human Adipose Tissues using Human Plasma. J Biotechnol Biomaterial 1:107.

61. Nandram B, Xu H (2011) Bayesian Corrections of a Selection Bias in Genetics. J Biomet Biostat 2: 112.

62. Gouno E (2011) Modelling Spread of Diseases Using a Survival Analysis Tech-nique. J Biomet Biostat 2: 113.

63. Zhang XD (2010) Contrast Variable Potentially Providing a Consistent Interpre-tation to Effect Sizes. J Biomet Biostat 1: 108.

64. Chiba Y (2010) Bias Analysis for the Principal Stratum Direct Effect in The Pres-ence of Confounded Intermediate Variables. J Biomet Biostat 1: 101.

65. Li Y, Shchy A, Sun J (2010) Nonparametric Treatment Comparison for Current Status Data. J Biomet Biostat 1: 102.

66. Neelon B, O’Malley AJ (2010) Bayesian Analysis Using Power Priors with Ap-plication to Pediatric Quality of Care. J Biomet Biostat 1: 103.

67. Alhamzawi R, Yu K, Pan J (2011) Prior Elicitation in Bayesian Quantile Regres-sion for Longitudinal Data. J Biomet Biostat 2: 115.

68. Bliss RY, Weinberg J, Vieira V, Ozonoff A, Webster TF (2010) Power of Per-mutation Tests Using Generalized Additive Models with Bivariate Smoothers. J Biomet Biostat 1: 104.

69. Alii LK (2010) Sample Size and Subject to Item Ratio in Principal Components Analysis and Exploratory Factor Analysis. J Biomet Biostat 1: 106.

70. Fernandez-Duran JJ, Gregorio-Dominguez MM (2010) A Likelihood Ratio Test for Homogeneity in Circular Data. J Biomet Biostat 1: 107.

71. Alii LK (2011) A General Box-Cox Transformation Model for Recurrent Events Data. J Biomet Biostat 2: 110.

72. Sul S (2011) Classification-based Automatic Fingerprint Identification System for Large Distributed Fingerprint Database. J Biomet Biostat 2: 111.

73. Gelmi CA, Prakash P, Edwards JS, Ogunnaike BA (2011) Experimental Valida-tion of a Probabilistic Framework for Microarray Data Analysis. J Biomet Biostat 2: 114.

74. Hang X, Wu FX (2009) L1 Least Square for Cancer Diagnosis using Gene Expression Data. J Comput Sci Syst Biol 2: 167-173.

75. Pinto F.R (2009) A Probabilistic Approach to Study Yeast’s Gene Regulatory Network. J Comput Sci Syst Biol 2: 044-050.

76. ALAKUŞ K, ERİLLİ NA (2011) Confidence Intervals Estimation for Survival Function in Log-Logistic Distribution and Proportional Odds Regression Based on Censored Survival Time Data. J Biomet Biostat 2: 116.

77. Zaman Q, Strasak AM, Pfeiffer KP (2011) Exact Waiting Time Survival Func-tion. J Biomet Biostat 2: 117.

78. Wu XL, Gianola D, Hu ZL, Reecy JM (2011) Meta-Analysis of Quantitative Trait Association and Mapping Studies using Parametric and Non-Parametric Mod-els. J Biomet Biostat S1: 001.

79. Hanuman T, Raghava NM, Siva PA, Mrithyunjaya RK , Chandra SV, et al. (2009) Performance Comparative in Classification Algorithms Using Real Data-sets. J Comput Sci Syst Biol 2: 097-100.

80. Alessandro A, Di Serio C (2009) Vectors and Integration in Gene Therapy: Sta-tistical Considerations. J Comput Sci Syst Biol 2: 117-123.

81. Ekimov, AI, Onushchenko AA (1981) Quantum size effect in three-dimensional microscopic semiconductor crystals. JETP Lett. 34: 345–349.

82. Reed MA, Randall JN, Aggarwal RJ, Matyi RJ, Moore TM, et al. (1988) Obser-vation of discrete electronic states in a zero-dimensional semiconductor nano-structure. Phys Rev Lett 60: 535–537.

83. Cheng SH, Lee CH, Chen MC, Souris JS, Tseng FG, et al. (2010) Tri-functional-ization of mesoporous silica nanoparticles for comprehensive cancer theranos-tics—the trio of imaging, targeting and therapy. Journal of Materials Chemistry 20: 6149-6157.

84. Menaa B, Menaa F, Aiolfi-Guimaraes C, Sharts O (2010) Silica-based nanopo-rous sol-gel glasses: from bioencapsulation to protein folding studies. Interna-tional Journal of Nanotechnology 7: 1.

85. Ben Hur V Berges and Luiz Eugenio M de Barros Jr (1999) Design of opti-cal Bio-sensor using polymeric waveguide. SBMO or IEEE MTT–SIMOC 99 Proceedings.

86. Ohkawa M, Izutsu M, Sueta T (1989) Integrated optic accelerometer employing a cantilever on a silicon substrate. Jap J Appl Phys 28: 287-288.