scholarly journals A high-throughput multi-microfluidic crystal generator (MMicroCryGen) platform for facile screening of polymorphism and crystal morphology for pharmaceutical compounds

Lab on a Chip ◽  
2018 ◽  
Vol 18 (15) ◽  
pp. 2235-2245 ◽  
Author(s):  
E. Simone ◽  
J. McVeigh ◽  
N. M. Reis ◽  
Z. K. Nagy
Keyword(s):  
Single Crystal ◽  
High Throughput ◽  
Crystal Morphology ◽  
Pharmaceutical Compounds ◽  
Fluid Handling ◽  
Complex Fluid

The MMicroCryGen allows single crystal generation and screening using 200 μL of solvent and without complex fluid handling (‘dipstick’ mode).

scholarly journals An automated optofluidic biosensor platform combining interferometric sensors and injection moulded microfluidics

Lab on a Chip ◽  
2017 ◽  
Vol 17 (16) ◽  
pp. 2793-2804 ◽  
Author(s):  
C. Szydzik ◽  
A. F. Gavela ◽  
S. Herranz ◽  
J. Roccisano ◽  
M. Knoerzer ◽  
...  
Keyword(s):  
Interferometric Sensors ◽  
Fluid Handling ◽  
Complex Fluid ◽  
On Chip ◽  
Photonic Biosensors

This work presents an on-chip valve-based microfluidic automation module, capable of performing the complex fluid handling required for photonic biosensors.

Predicting Crystal Morphology Using a Geometric Descriptor: A Comparative Study of Elemental Crystals with High-Throughput DFT Calculations

2020 ◽  
Vol 124 (29) ◽  
pp. 15920-15927
Author(s):  
Huan Ma ◽  
Yueyue Jiao ◽  
Wenping Guo ◽  
Xingchen Liu ◽  
Yongwang Li ◽  
...  
Keyword(s):  
Comparative Study ◽  
Dft Calculations ◽  
High Throughput ◽  
Crystal Morphology

Optimized preparation of LiNi0.6Mn0.2Co0.2O2 with single crystal morphology cathode material for lithium-ion batteries

Ionics ◽  
2020 ◽  
Vol 26 (6) ◽  
pp. 2689-2698 ◽  
Author(s):  
Bing Huang ◽  
Meng Wang ◽  
Xiangwu Zhang ◽  
Guodong Xu ◽  
Yijie Gu
Keyword(s):  
Cathode Material ◽  
Single Crystal ◽  
Lithium Ion Batteries ◽  
Crystal Morphology ◽  
Lithium Ion

scholarly journals A digital workflow from crystallographic structure to single crystal particle attributes for predicting the formulation properties of terbutaline sulfate

CrystEngComm ◽  
2020 ◽  
Vol 22 (19) ◽  
pp. 3347-3360
Author(s):  
Thai T. H. Nguyen ◽  
Robert B. Hammond ◽  
Ioanna D. Styliari ◽  
Darragh Murnane ◽  
Kevin J. Roberts
Keyword(s):  
Surface Energy ◽  
Surface Chemistry ◽  
Single Crystal ◽  
Crystal Morphology ◽  
Crystal Surface ◽  
Drug Formulation ◽  
Crystallographic Structure ◽  
Terbutaline Sulfate ◽  
Crystal Particle ◽  
Ionic Addition

A detailed inter-molecular (synthonic) analysis of terbutaline sulfate, an ionic addition salt for inhalation drug formulation, is related to its crystal morphology, the surface chemistry of the habit faces and hence to its crystal surface energy.

Single crystal morphology of the copper acetate dimers Cu2(CH3COO)4·2H2O and Cu2(CH3COO)4pz

1995 ◽  
Vol 154 (1-2) ◽  
pp. 108-112 ◽  
Author(s):  
Stephanie J. Bell ◽  
Karen L. Jennings ◽  
Eric D. Danielson ◽  
Edward I. Solomon ◽  
Ronald L. Musselman
Keyword(s):  
Single Crystal ◽  
Crystal Morphology ◽  
Copper Acetate

scholarly journals Robot-Accelerated Perovskite Investigation and Discovery (RAPID): 1. Inverse Temperature Crystallization

2019 ◽  
Author(s):  
Zhi Li ◽  
Mansoor Ani Najeeb ◽  
Liana Alves ◽  
Alyssa Sherman ◽  
Peter Cruz Parrilla ◽  
...  
Keyword(s):  
Machine Learning ◽  
Single Crystal ◽  
High Throughput ◽  
Metal Halide ◽  
Crystal Formation ◽  
Inverse Temperature ◽  
High Quality ◽  
Metal Halide Perovskite ◽  
Halide Perovskite ◽  
Temperature Crystallization

Metal halide perovskites are a promising class of materials for next-generation photovoltaic and optoelectronic devices. The discovery and full characterization of new perovskite-derived materials are limited by the difficulty of growing high quality crystals needed for single-crystal X-ray diffraction studies. We present the first automated, high-throughput approach for metal halide perovskite single crystal discovery based on inverse temperature crystallization (ITC) as a means to rapidly identify and optimize synthesis conditions for the formation of high quality single crystals. Using this automated approach, a total of 1928 metal halide perovskite synthesis reactions were conducted using six organic ammonium cations (methylammonium, ethylammonium, n-butylammonium, formamidinium, guanidinium, and acetamidinium), increasing the number of metal halide perovskite materials accessible by ITC syntheses by three and resulting in the formation of a new phase, [C<sub>2</sub>H<sub>7</sub>N<sub>2</sub>][PbI<sub>3</sub>]. This comprehensive dataset allows for a statistical quantification of the total experimental space and of the likelihood of large single crystal formation. Moreover, this dataset enables the construction and evaluation of machine learning models for predicting crystal formation conditions. This work is a proof-of-concept that combining high throughput experimentation and machine learning accelerates and enhances the study of metal halide perovskite crystallization. This approach is designed to be generalizable to different synthetic routes for the acceleration of materials discovery.

scholarly journals BioBlocks: Programming protocols in biology made easier

2016 ◽  
Author(s):  
Vishal Gupta ◽  
Jesus Irimia ◽  
Ivan Pau ◽  
Alfonso Rodriguez-Paton
Keyword(s):  
High Throughput ◽  
Reproducibility Of Results ◽  
Visual Development ◽  
Development Environment ◽  
Web Based ◽  
On Demand ◽  
Fluid Handling ◽  
High Throughput Experimentation ◽  
Open Standard ◽  
Experimental Protocols

The methods to execute biological experiments are evolving. Affordable fluid handling robots and on-demand biology enterprises are making automating entire experiments a reality. Automation offers the benefit of high-throughput experimentation, rapid prototyping and improved reproducibility of results. However, learning to automate and codify experiments is a difficult task as it requires programming expertise. Here, we present a web-based visual development environment called BioBlocks for describing experimental protocols in biology. It is based on Google's Blockly and Scratch, and requires little or no experience in computer programming to automate the execution of experiments. The experiments can be specified, saved, modified and shared between multiple users in an easy manner. BioBlocks is open-source and can be customized to execute protocols on local robotic platforms or remotely i.e. in the cloud. It aims to serve as a 'de facto' open standard for programming protocols in Biology.

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