The DOI matches its Crossref record.
Phytases: Microbial Sources, Production, Purification, and Potential Biotechnological Applications
Abstract
The review deals with phytase-producing microorganisms along with optimum conditions for its production. Various methods used for purifying phytases and their characteristics are discussed. Heterologous gene expression, cost-effective large-scale phytase production, and various biotechnological applications of the enzyme in animal feed and food industries are also discussed.
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Citations
Cited by
Solid-state fermentation systems—An overview
Krishna, C. (2005) · Critical Reviews in Biotechnology · doi:10.1080/07388550590925383 · Cited by 738
Recent Advances in Heterogeneous Photocatalytic Decolorization of Synthetic Dyes
Muhd Julkapli, N., Bagheri, S., & Bee Abd Hamid, S. (2014) · The Scientific World Journal · doi:10.1155/2014/692307 · Cited by 280
Transgenic maize plants expressing a fungal phytase gene
Chen, R., Xue, G., Chen, P., Yao, B., Yang, W., Ma, Q., Fan, Y., Zhao, Z., Tarczynski, M. C., & Shi, J. (2008) · Transgenic Research · doi:10.1007/s11248-007-9138-3 · Cited by 196
Enzymes and Bioconversions of Industrial, Pharmaceutical, and Biotechnological Significance
Sanchez, S., & Demain, A. L. (2011) · Organic Process Research & Development · doi:10.1021/op100302x · Cited by 189
Probiotic yeasts in livestock sector
Vohra, A., Syal, P., & Madan, A. (2016) · Animal Feed Science and Technology · doi:10.1016/j.anifeedsci.2016.05.019 · Cited by 133
Self-citation
Metadata
- Authors
- Vohra, A., & Satyanarayana, T.
- Venue
- Critical Reviews in Biotechnology
- Publisher
- Informa UK Limited
- Published
- 2003-01
- Volume
- 23
- Issue
- 1
- Pages
- 29-60
- ISSN
- 0738-8551 (ISSN-L)
- 1549-7801
- OpenAlex
- W2121208148
- Cited by
- 422
- References
- 0
- FWCI
- 15.29
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
