软件可移植性
可持续农业
可再生能源
生产(经济)
小型化
食品加工
分析
工艺工程
生化工程
纳米技术
农业
数据科学
计算机科学
化学
工程类
生态学
电气工程
宏观经济学
程序设计语言
生物
材料科学
食品科学
经济
作者
Tomasz Pawel Czaja,Søren Balling Engelsen
标识
DOI:10.1016/j.saa.2024.125028
摘要
In this perspective paper we argue for the fact that near infrared (NIR) technology, due to its unique properties, will become an indispensable green sensor technology in the future digitalized and sustainable food production. The future of near infrared spectroscopy (NIRS) in green analytics is bright. Ongoing advancements in NIR technology, coupled with increased accessibility and integration with advanced multivariate data analysis such as machine learning and artificial intelligence will further amplify the impact of NIRS across food, agricultural, environmental, and renewable energy domains. The miniaturization, increased portability, and enhanced affordability of NIR instruments, coupled with its integration into emerging technologies, will empower a diverse range of industries and researchers to address pressing global challenges with unprecedented precision and efficiency. The implementation of NIR technology in process analytical technology will enable the transition to future digitalized and sustainable food production. In a future circular economy, where waste streams, co-products and water are reclaimed and valorized, continuous measurements are necessary and in many cases, there are no sensor alternatives to NIR technology.
科研通智能强力驱动
Strongly Powered by AbleSci AI