公开(公告)号：US10968465B2

公开(公告)日：2021-04-06

申请号：US16007505

申请日：2018-06-13

Applicant: LanzaTech, Inc.

Inventor： Michael James Harry Mawdsley ,  Michael Emerson Martin ,  Kathleen Frances Smart ,  Rachel Jane Brenc

IPC: C12P7/16 ,  C12P7/06 ,  C12N9/02 ,  C12N9/10 ,  C12P7/04

Abstract: The invention provides a process for reducing bio-catalytic oxidation of a product in a post-production stream. More particularly the invention provides a process for reducing bio-catalytic oxidation of an alcohol in a product stream, the product stream comprising an alcohol product, dissolved carbon dioxide, and at least one enzyme capable of oxidizing the alcohol. The invention finds applicability in fermentation processes, wherein a C1-fixing microorganism utilizes a C1-containing substrate to produce a fermentation product.

公开(公告)号：US20220284269A1

公开(公告)日：2022-09-08

申请号：US17653077

申请日：2022-03-01

Applicant: LanzaTech, Inc.

Inventor： James Howden Daniell ,  Steven Samuel Glasker ,  Michael Emerson Martin ,  Melvin Moore ,  Michael James Harry Mawdsley ,  Jim Jeffrey Daleiden

IPC: G06N3/04 ,  G06K9/62 ,  C12P7/06

Abstract: This disclosure relates to analyzing a fermentation process that occurs in a bioreactor. Such a fermentation process may involve microbes consuming a substrate, and producing various metabolites. A computing device may train and execute one or more machine learning models to analyze such a fermentation process. Such a machine learning model may be configured to determine a current fermentation state of such a fermentation process as one example. As another example, a machine learning model may be configured to predict metabolite production of a fermentation process based on historical fermentation data and a window of control decisions for the fermentation process.