Literature DB >> 35861884

A Comprehensive IT Infrastructure for an Enzymatic Product Development in a Digitalized Biotechnological Laboratory.

Simon Seidel1, Mariano Nicolas Cruz-Bournazou1,2, Sebastian Groß3, Julia Katharina Schollmeyer1,4, Anke Kurreck1,4, Stefan Krauss5, Peter Neubauer6.   

Abstract

Typical product development in biotechnological laboratories is a distributed and versatile process. Today's biotechnological laboratory devices are usually equipped with multiple sensors and a variety of interfaces. The existing software for biotechnological research and development is often specialized on specific tasks and thus generates task-specific information. Scientific personnel is confronted with an abundance of information from a variety of sources. Hence a comprehensive software backbone that structures the developmental process and maintains data from various sources is missing. Thus, it is not possible to maintain data access, documentation, reporting, availability, and proper data exchange. This chapter envisions a comprehensive digital infrastructure handling the data throughout an enzymatic product development process in a laboratory. The platform integrates a variety of software products, databases, and devices to make all product development life cycle (PDLC) data available and accessible to the scientific staff.
© 2022. The Author(s), under exclusive license to Springer Nature Switzerland AG.

Entities:  

Keywords:  Biotechnological product development; Device integration; Digitalisation; Laboratory data management; Laboratory software; Product life cycle

Mesh:

Year:  2022        PMID: 35861884     DOI: 10.1007/10_2022_207

Source DB:  PubMed          Journal:  Adv Biochem Eng Biotechnol        ISSN: 0724-6145            Impact factor:   2.768


  10 in total

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Journal:  Biotechnol Bioeng       Date:  2016-02-03       Impact factor: 4.530

2.  A Laboratory Information Management System (LIMS) for a high throughput genetic platform aimed at candidate gene mutation screening.

Authors:  C Voegele; S V Tavtigian; D de Silva; S Cuber; A Thomas; F Le Calvez-Kelm
Journal:  Bioinformatics       Date:  2007-08-20       Impact factor: 6.937

Review 3.  Laboratory informatics tools integration strategies for drug discovery: integration of LIMS, ELN, CDS, and SDMS.

Authors:  Hari K Machina; David J Wild
Journal:  J Lab Autom       Date:  2012-08-15

4.  With all due respect to Maholo, lab automation isn't anthropomorphic.

Authors:  David W McClymont; Paul S Freemont
Journal:  Nat Biotechnol       Date:  2017-04-11       Impact factor: 54.908

5.  Online optimal experimental re-design in robotic parallel fed-batch cultivation facilities.

Authors:  M N Cruz Bournazou; T Barz; D B Nickel; D C Lopez Cárdenas; F Glauche; A Knepper; P Neubauer
Journal:  Biotechnol Bioeng       Date:  2016-12-13       Impact factor: 4.530

6.  Lab 4.0: SiLA or OPC UA.

Authors:  Günter Gauglitz
Journal:  Anal Bioanal Chem       Date:  2018-08       Impact factor: 4.142

7.  Integration of Acoustic Liquid Handling into Quantitative Analysis of Biological Matrix Samples.

Authors:  Linna Wang; Gerard Dalglish; Zheng Ouyang; Donata Gloria David-Brown; Camelia Chiriac; Jia Duo; Alexander Kozhich; Qin C Ji; Jon E Peterson
Journal:  SLAS Technol       Date:  2020-04-30       Impact factor: 3.047

8.  Technical advance in fungal biotechnology: development of a miniaturized culture method and an automated high-throughput screening.

Authors:  F Alberto; D Navarro; R P de Vries; M Asther; E Record
Journal:  Lett Appl Microbiol       Date:  2009-05-27       Impact factor: 2.858

9.  Current and future requirements to industrial analytical infrastructure-part 2: smart sensors.

Authors:  Tobias Eifert; Kristina Eisen; Michael Maiwald; Christoph Herwig
Journal:  Anal Bioanal Chem       Date:  2020-02-14       Impact factor: 4.142

10.  The FAIR Guiding Principles for scientific data management and stewardship.

Authors:  Mark D Wilkinson; Michel Dumontier; I Jsbrand Jan Aalbersberg; Gabrielle Appleton; Myles Axton; Arie Baak; Niklas Blomberg; Jan-Willem Boiten; Luiz Bonino da Silva Santos; Philip E Bourne; Jildau Bouwman; Anthony J Brookes; Tim Clark; Mercè Crosas; Ingrid Dillo; Olivier Dumon; Scott Edmunds; Chris T Evelo; Richard Finkers; Alejandra Gonzalez-Beltran; Alasdair J G Gray; Paul Groth; Carole Goble; Jeffrey S Grethe; Jaap Heringa; Peter A C 't Hoen; Rob Hooft; Tobias Kuhn; Ruben Kok; Joost Kok; Scott J Lusher; Maryann E Martone; Albert Mons; Abel L Packer; Bengt Persson; Philippe Rocca-Serra; Marco Roos; Rene van Schaik; Susanna-Assunta Sansone; Erik Schultes; Thierry Sengstag; Ted Slater; George Strawn; Morris A Swertz; Mark Thompson; Johan van der Lei; Erik van Mulligen; Jan Velterop; Andra Waagmeester; Peter Wittenburg; Katherine Wolstencroft; Jun Zhao; Barend Mons
Journal:  Sci Data       Date:  2016-03-15       Impact factor: 6.444

  10 in total

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