Titlebook: Laccases in Bioremediation and Waste Valorisation; Dietmar Schlosser Book 2020 Springer Nature Switzerland AG 2020 Bioremediation.Bacteria

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Challenges in Applying Cross-Linked Laccase Aggregates in Bioremediation of Emerging Contaminants fn the aquatic receiving environment. The impacts of this contamination on the environment and human health are still not fully understood. Laccases are enzymes capable of degrading various PPCPs leading to widespread promising applications of laccases in bioremediation processes. Laccases are immobi

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Laccase Engineering by Directed and Computational Evolution,y computational and experimental approaches are being combined so that more effective libraries can be created, producing enzymes with greater biotechnological potential while notably reducing the demands on screening. This chapter summarizes the most recent findings from our laboratory to tailor fu

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Laccases from Extremophiles,ose far from the optimal conditions for human life. Thus, ecosystems that present very low or high temperature, pH values, or radiation index, habitats containing a NaCl concentration higher than 1.0 M and deep sea, among others, are considered extreme ecosystems. Derived from these physicochemical

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rigin lies in the sixties, seventies and eighties of the previous century, when Herman O. A. Wold vigorously pursued the creation and construction of models and methods for the social sciences, where “soft models and soft data” were the rule rather than the exception, and where approaches strongly o

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Lígia O. Martins,Eduardo Pinho Melo,Antonio Sanchez-Amat,Maria Paula Robalo.Focus both on statistical methodology and selected real worPartial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O.

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Simona Giacobbe,Cinzia Pezzella,Giovanni Sannia,Alessandra Piscitelli.Focus both on statistical methodology and selected real worPartial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O.

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Kamahldin Haghbeen,Dietmar Schlosser.Focus both on statistical methodology and selected real worPartial Least Squares is a family of regression based methods designed for the an- ysis of high dimensional data in a low-structure environment. Its origin lies in the sixties, seventies and eighties of the previous century, when Herman O.

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