Engineered Nucleotide Chemicapacitive Microsensor Array Augmented with Physics-Guided Machine Learning for High-Throughput Screening of Cannabidiol

Autor:	Stephanie Hui Kit Yap, Jieming Pan, Dao Viet Linh, Xiangyu Zhang, Xinghua Wang, Wei Zhe Teo, Evgeny Zamburg, Chen‐Khong Tham, Wen Shan Yew, Chueh Loo Poh, Aaron Voon‐Yew Thean
Rok vydání:	2022
Předmět:	Biomaterials Machine Learning Nucleotides Physics Cannabidiol General Materials Science General Chemistry Biotechnology High-Throughput Screening Assays
Zdroj:	Small (Weinheim an der Bergstrasse, Germany). 18(22)
ISSN:	1613-6829
Popis:	The recent legalization of cannabidiol (CBD) to treat neurological conditions such as epilepsy has sparked rising interest across global pharmaceuticals and synthetic biology industries to engineer microbes for sustainable synthetic production of medicinal CBD. Since the process involves screening large amounts of samples, the main challenge is often associated with the conventional screening platform that is time consuming, and laborious with high operating costs. Here, a portable, high-throughput Aptamer-based BioSenSing System (ABS
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::515bac2e314cf9fdb26d45c526f92921 https://pubmed.ncbi.nlm.nih.gov/35521934 Zobrazit plný text záznamu Plný text