High-throughput automated platform for thin layer chromatography analysis

Xu，Hao1,2; Zhang，Dongxiao3,4; Mo，Fanyang1

2022-12-16

10.1016/j.xpro.2022.101893

STAR Protocols   影响因子和分区

2666-1667

2666-1667

In this protocol, we detail steps for constructing a high-throughput automated platform for thin layer chromatography (TLC) analysis. We describe robotics and computer vision techniques that can handle 32 compounds under three different elution solvents in about 50 min. The established automated platform can obtain statistically standardized retardation factor (R) values and enhance reproducibility while reducing labor and time costs. For complete details on the use and execution of this protocol, please refer to Xu et al. (2022).

Chemistry High Throughput Screening

ESCI

英语

通讯

National Outstanding Youth Science Fund Project of National Natural Science Foundation of China[21933001];National Outstanding Youth Science Fund Project of National Natural Science Foundation of China[22071004];National Outstanding Youth Science Fund Project of National Natural Science Foundation of China[22150013];

Biochemistry & Molecular Biology

Biochemical Research Methods

WOS:001061203000007

ELSEVIER

2-s2.0-85143493120

Scopus

1.School of Materials Science and Engineering,Peking University,Beijing,100871,China
2.BIC-ESAT,ERE,and SKLTCS,College of Engineering,Peking University,Beijing,100871,China
3.Department of Mathematics and Theories,Peng Cheng Laboratory,Shenzhen,518000,China
4.National Center for Applied Mathematics Shenzhen (NCAMS),Southern University of Science and Technology,Shenzhen,518055,China

Xu，Hao,Zhang，Dongxiao,Mo，Fanyang. High-throughput automated platform for thin layer chromatography analysis[J]. STAR Protocols,2022,3(4).

Xu，Hao,Zhang，Dongxiao,&Mo，Fanyang.(2022).High-throughput automated platform for thin layer chromatography analysis.STAR Protocols,3(4).

Xu，Hao,et al."High-throughput automated platform for thin layer chromatography analysis".STAR Protocols 3.4(2022).