摘要
由一名新闻记者兼机器人和机器学习每日新闻的工作人员新闻编辑根据来自华盛顿特区的新闻报道来源，由NewsRx记者提出的一项专利申请于2024年11月27日在网上公布，该专利申请由Inve Ntors HATHWAIK，Leyla（南旧金山，加利福尼亚州，美国）；LANQUAR，Viviane（旧金山，加利福尼亚州，美国）；WANG，Yaxin本专利申请没有受让人。记者们从发明者提供的背景资料中获得了以下引文：“2050年全球人口估计达到91亿至97亿，人均收入增长约1.8倍。预计食品消费将越来越多地以动物产品为基础，主要是由于发展中国家财富的增加。因此，人口增长和对高蛋白饮食需求的增加将要求食品工业发生巨大变化。“食品工业中用作配料的蛋白质传统上是基于从天然来源分离出来的，如牛奶。然而，生产动物源性食品很快就变得不可持续。”由于重组蛋白对环境的影响和生产资源的限制，重组蛋白的生产可以为食品应用提供一种替代的蛋白质来源，然而，为了使重组蛋白在食品中的应用经济上可行，必须在一个或多个宿主细胞中实现高水平的蛋白质表达，实现如此高的表达水平带来许多技术挑战。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting originatin g from Washington, D.C., by NewsRx journalists, a patent application by the inve ntors HATHWAIK, Leyla (South San Francisco, CA, US); LANQUAR, Viviane (San Carlo s, CA, US); WANG, Yaxin (South San Francisco, CA, US), filed on November 27, 202 3, was made available online on May 30, 2024. No assignee for this patent application has been made. Reporters obtained the following quote from the background information supplied by the inventors: "The global population is estimated to reach 9.1-9.7 billion b y 2050, with an approximately 1.8-fold increase in income per capita. Food consu mption is predicted to become increasingly based on animal derived products-main ly due to increased wealth in developing countries. Thus, population growth and increased demand for high-protein diets will require dramatic changes in the foo d industry. "Proteins used as ingredients in the food industry have traditionally been based on isolates from natural sources, such bovine milk. However, it is rapidly beco ming unsustainable to produce animal-derived food products, given their environm ental impact and limited resources for production thereof. Recombinant protein p roduction could provide an alternative source of protein for use in food applica tions. However, in order to make the use of recombinant proteins in food economi cally feasible, high levels of protein expression must be achieved in one or mor e host cells. Achieving such high expression levels poses numerous technical cha llenges.
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