This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC...This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC)technology,the NEC_ADP improves the accuracy and precision of liquid handling across a wide range of volumes,from micro-volumes(1μL)to macro-volumes(up to 1000μL),and for reagents with varying viscosities and surface tensions.Unlike conventional pipettors,which rely on linear compensation or manual recalibration,NEC_ADP features real-time,online calibration,eliminating the need for factory recalibration and reducing maintenance costs.The system was built with a modular design,allowing seamless scalability from single-to multi-channel configurations.It integrates effortlessly with existing laboratory systems using the open platform communications unified architecture(OPC UA),enhancing interoperability and automation.In addition,the use of machine-learning algorithms for motion control and trajectory planning ensures optimal pipetting strategies and automatic adaptation to different reagents and volumes.This study demonstrates the superior performance of NEC_ADP compared to commercial systems,including the TECAN Cavro®and Eppendorf epMotion®,with significant improvements in accuracy and precision.Innovation in NEC_ADP technology and system integration marks a significant advancement in automated liquid handling,offering robust support for highprecision applications in fields such as genomics,stemcell research,and synthetic biology.展开更多
基金supported in part by the National Key R&D Program of China[Grant No.2023YFF0724200]Strategic Priority Research Program of the Chinese Academy of Sciences[Grant No.XDB1250000]+5 种基金Key Research and Development Program of Guangzhou City[Grant No.2024B03J0002,2025B03J0095]in part by the Guangzhou Koalson Smart Manufacturing Technology Co.,Ltd.,Scientific Instrumentation Development Program of Chinese Academy of Sciences[Grant No.PTYQ2024TD0002,ZDKYYQ20210006]Key Research Program of Chinese Academy of Sciences[Grant No.ZDBS-ZRKJZ-TLC006]Guangzhou Basic and Applied Basic Research Project[Grant No.2024A04J6352,2022A1515110435]Human Cell Lineage Atlas Facility[Grant No.DSS05010101]Basic Research Project of Guangzhou Institutes of Biomedicine and Health,Chinese Academy of Sciences[No.GIBHBRP24-03].
文摘This study introduces a nonlinear error-compensated air-displacement pipettor(NEC_ADP),a novel system that addresses the key limitations in commercial pipetting setups.By incorporating nonlinear error-compensation(NEC)technology,the NEC_ADP improves the accuracy and precision of liquid handling across a wide range of volumes,from micro-volumes(1μL)to macro-volumes(up to 1000μL),and for reagents with varying viscosities and surface tensions.Unlike conventional pipettors,which rely on linear compensation or manual recalibration,NEC_ADP features real-time,online calibration,eliminating the need for factory recalibration and reducing maintenance costs.The system was built with a modular design,allowing seamless scalability from single-to multi-channel configurations.It integrates effortlessly with existing laboratory systems using the open platform communications unified architecture(OPC UA),enhancing interoperability and automation.In addition,the use of machine-learning algorithms for motion control and trajectory planning ensures optimal pipetting strategies and automatic adaptation to different reagents and volumes.This study demonstrates the superior performance of NEC_ADP compared to commercial systems,including the TECAN Cavro®and Eppendorf epMotion®,with significant improvements in accuracy and precision.Innovation in NEC_ADP technology and system integration marks a significant advancement in automated liquid handling,offering robust support for highprecision applications in fields such as genomics,stemcell research,and synthetic biology.
