Literature DB >> 22962745

Electrospun nanofibrous membranes for temperature regulation of microfluidic seed growth chips.

Huawei Jiang1, Yueyi Jiao, Maneesha R Aluru, Liang Dong.   

Abstract

This paper reports a simple and effective approach to control statistical pore size distributions within electrospun nanofibrous membranes (ENMs), by choosing appropriate spinning times of electro-spinning deposition. Mean pore diameter of ENMs decreases exponentially with increasing spinning time. This pore-size control method is demonstrated to regulate amount of heat energy reaching microfluidic seed growth chips (SGC) and thus growth temperature of seeds on the chips, without using sophisticated semiconductor manufacturing techniques or additional on-chip electronic circuits. Decreasing mean pore diameter of ENMs causes to decrease the on-chip temperature, following a second-order polynomial trend. Phenotypic study based on real-time observation of root architecture is conducted on multiple SGCs under various temperature conditions obtained by using ENMs with different pore size distributions.

Year:  2012        PMID: 22962745     DOI: 10.1166/jnn.2012.6450

Source DB:  PubMed          Journal:  J Nanosci Nanotechnol        ISSN: 1533-4880


  4 in total

1.  Humidity assay for studying plant-pathogen interactions in miniature controlled discrete humidity environments with good throughput.

Authors:  Zhen Xu; Huawei Jiang; Binod Bihari Sahu; Sekhar Kambakam; Prashant Singh; Xinran Wang; Qiugu Wang; Madan K Bhattacharyya; Liang Dong
Journal:  Biomicrofluidics       Date:  2016-05-18       Impact factor: 2.800

2.  Microfluidic chip for automated screening of carbon dioxide conditions for microalgal cell growth.

Authors:  Zhen Xu; Yingjun Wang; Yuncong Chen; Martin H Spalding; Liang Dong
Journal:  Biomicrofluidics       Date:  2017-11-22       Impact factor: 2.800

3.  Microfluidic device enabled quantitative time-lapse microscopic-photography for phenotyping vegetative and reproductive phases in Fusarium virguliforme, which is pathogenic to soybean.

Authors:  Jill Marshall; Xuan Qiao; Jordan Baumbach; Jingyu Xie; Liang Dong; Madan K Bhattacharyya
Journal:  Sci Rep       Date:  2017-03-15       Impact factor: 4.379

4.  Light Gradient-Based Screening of Arabidopsis thaliana on a 384-Well Type Plant Array Chip.

Authors:  Youn-Hee Park; Je-Kyun Park
Journal:  Micromachines (Basel)       Date:  2020-02-12       Impact factor: 2.891

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.