4.7 Article

One step multifunctional micropatterning of surfaces using asymmetric glow discharge plasma polymerization

Journal

CHEMICAL COMMUNICATIONS
Volume 48, Issue 13, Pages 1907-1909

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/c2cc15578h

Keywords

-

Ask authors/readers for more resources

Micropatterning of surfaces with varying chemical, physical and topographical properties usually requires a number of fabrication steps. Herein, we describe a micropatterning technique based on plasma enhanced chemical vapour deposition (PECVD) that deposits both protein resistant and protein repellent surface chemistries in a single step. The resulting multifunctional, selective surface chemistries are capable of spatially controlled protein adhesion, geometric confinement of cells and the site specific confinement of enzyme mediated peptide self-assembly.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Chemistry, Analytical

Two-Dimensional and Three-Dimensional Time-of-Flight Secondary Ion Mass Spectrometry Image Feature Extraction Using a Spatially Aware Convolutional Autoencoder

Wil Gardner, David A. Winkler, Suzanne M. Cutts, Steven A. Torney, Geoffrey A. Pietersz, Benjamin W. Muir, Paul J. Pigram

Summary: Feature extraction algorithms are important for reducing data dimensionality, but most methods do not consider spatial information. This study introduces a convolutional autoencoder (CNNAE) specifically designed for hyperspectral ToF-SIMS imaging data, which incorporates pixel neighborhood information through convolutional layers. Compared to other methods, the CNNAE produces features with higher contrast and autocorrelation, accurately representing histologically recognizable features in the data. Additionally, the extension of CNNAE to 3D ToF-SIMS images provides a proof of principle for analyzing more complex 3D datasets.

ANALYTICAL CHEMISTRY (2022)

Review Biophysics

Applications of multivariate analysis and unsupervised machine learning to ToF-SIMS images of organic, bioorganic, and biological systems

Wil Gardner, David A. Winkler, Benjamin W. Muir, Paul J. Pigram

Summary: Time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging is a powerful label-free method for exploring organic, bioorganic, and biological systems. However, the complexity of the data produced by ToF-SIMS experiments makes interpretation and analysis challenging. Research has focused on applying multivariate analysis and machine learning techniques to find meaningful patterns and relationships in these datasets.

BIOINTERPHASES (2022)

Article Chemistry, Multidisciplinary

Fusing ToF-SIMS Images for Spatial-Spectral Resolution Enhancement using a Convolutional Neural Network

Wil Gardner, David A. Winkler, Ruqaya Maliki, Suzanne M. Cutts, Sarah Ellis, Robin L. Anderson, Benjamin W. Muir, Paul J. Pigram

Summary: This study applies a convolutional neural network (CNN) fusion method to fuse ToF-SIMS hyperspectral data sets, achieving resolution-enhanced data with high spatial and mass resolution. The method is applied to ToF-SIMS images of a gold mesh sample and a tumor tissue section, and the improvement is compared to another linear fusion method used in the broader MSI community.

ADVANCED MATERIALS INTERFACES (2022)

Article Chemistry, Analytical

Multi-Dimensional Machine Learning Analysis of Polyaniline Films Using Stitched Hyperspectral ToF-SIMS Data

Sarah E. Bamford, Dilek Yalcin, Wil Gardner, David A. Winkler, Thomas M. Kohl, Benjamin W. Muir, Shaun Howard, Eric A. Bruton, Paul J. Pigram

Summary: The self-organizing map with relational perspective mapping (SOM-RPM) is an unsupervised machine learning method used for visualizing and interpreting high-dimensional hyperspectral data. In this study, SOM-RPM was applied to stitched ToF-SIMS datasets to provide a direct comparison in both 2D and 3D. The quantitative assessment of annealing-induced chemical breakdown trends was conducted on spin-coated polyaniline (PANI) films, revealing differences in peak intensity ratios.

ANALYTICAL CHEMISTRY (2023)

Article Materials Science, Multidisciplinary

Passivity Breakdown and Crack Propagation Mechanisms of Lean Duplex (UNS S32001) Stainless Steel Reinforcement in High Alkaline Solution Under Stress Corrosion Cracking

U. Martin, N. Birbilis, D. D. Macdonald, D. M. Bastidas

Summary: The passivity breakdown and subsequent stress corrosion cracking (SCC) of Type 2001 lean duplex stainless steel (UNS S32001) reinforcement in a highly alkaline environment containing chlorides at a low temperature were investigated. Through electrochemical analysis, mechanical testing, and fractographic analysis, it was found that the chloride threshold for passivity breakdown in this environment is below 4 wt% Cl-. Stress higher than σy triggers pit initiation and crack nucleation, resulting in a low-frequency peak of the cracking process. The importance rating for the steel is 9 out of 10.

CORROSION (2023)

Article Materials Science, Multidisciplinary

Operando kinetics of hydrogen evolution and elemental dissolution II: A time resolved mass-charge balance during the anodic dissolution of magnesium with variable iron content

Baojie Dou, Xuejie Li, Junsoo Han, Nick Birbilis, Kevin Ogle

Summary: Hydrogen evolution, magnesium dissolution, and electron exchange were monitored in real time during anodic and cathodic polarization of magnesium in 0.1 M NaCl. The anodic charge correlated with magnesium dissolution, while hydrogen formation was independent and led to insoluble magnesium(II) formation. Increased iron impurity promoted hydrogen evolution but was not necessary for the negative difference effect. Electrochemical dissolution occurred across an intact magnesium(II)-based film, while hydrogen evolution occurred in regions where the film breaks down induced by anodic polarization.

CORROSION SCIENCE (2023)

Review Physics, Fluids & Plasmas

Data processing techniques for ion and electron-energy distribution functions

A. Caldarelli, F. Filleul, R. W. Boswell, C. Charles, N. J. Rattenbury, J. E. Cater

Summary: Retarding field energy analyzers and Langmuir probes are commonly used for measuring ion and electron-energy distribution functions (IEDF and EEDF). However, the presence of noise from the plasma environment and measurement circuits poses challenges for differentiating noisy signals. This article presents a review of commonly used filtering and differentiation techniques for evaluating the distribution functions.

PHYSICS OF PLASMAS (2023)

Article Chemistry, Multidisciplinary

Exploring the Relationship between Polymer Surface Chemistry and Bacterial Attachment Using ToF-SIMS and Self-Organizing maps

See Yoong Wong, Andrew L. Hook, Wil Gardner, Chien-Yi Chang, Ying Mei, Martyn C. Davies, Paul Williams, Morgan R. Alexander, Davide Ballabio, Benjamin W. Muir, David A. Winkler, Paul J. Pigram

Summary: Biofilm formation is a major problem in hospitals, and researching biofilm-resistant materials is critical. Polymer microarrays can efficiently discover new biofilm-resistant polymers. This study investigates bacterial attachment and surface chemistry on a polymer microarray to better understand Pseudomonas aeruginosa biofilm formation. Analyzing the data using linear multivariate analysis and a nonlinear self-organizing map reveals fragment ions associated with bacterial biofilm formation. Considering these insights, a second analysis is conducted that explicitly considers interactions between key fragments. This improved model provides chemical insights for designing materials that prevent pathogen attachment.

ADVANCED MATERIALS INTERFACES (2023)

Article Materials Science, Multidisciplinary

Improving the prediction of mechanical properties of aluminium alloy using data-driven class-based regression

Ninad Bhat, Amanda S. Barnard, Nick Birbilis

Summary: The widespread use of aluminium alloys in aerospace, transport and marine industries can be attributed to their desirable physical properties. Understanding the relationship between alloy composition, microstructure and mechanical properties is complex. Machine learning has proven to be a valuable tool in designing new alloys. This study utilizes a data-driven partitioning scheme to train individual regressors, which outperforms traditional domain knowledge-based partitioning, leading to increased model accuracy and interpretability.

COMPUTATIONAL MATERIALS SCIENCE (2023)

Article Food Science & Technology

The antimicrobial efficacy of native Australian essential oils in liquid and vapour phase against foodborne pathogens and spoilage microorganisms

A. R. Mukurumbira, R. A. Shellie, R. Keast, E. A. Palombo, B. W. Muir, S. R. Jadhav

Summary: Foodborne pathogens and spoilage microorganisms pose a threat to public health and the food industry. Synthetic antimicrobials face challenges due to antimicrobial resistance, thus essential oils offer a potential natural alternative. This study found that essential oils from lemon myrtle, thyme, and Tasmanian mountain pepper showed antimicrobial activity against common food spoilage and pathogenic bacteria and fungi, with lemon myrtle and thyme exhibiting stronger activity. The vapor phase of the oils also showed antimicrobial activity and potential as antifungals for specific microorganisms.

FOOD CONTROL (2023)

Article Materials Science, Coatings & Films

Effect of data preprocessing and machine learning hyperparameters on mass spectrometry imaging models

Wil Gardner, David A. Winkler, David L. J. Alexander, Davide Ballabio, Benjamin W. Muir, Paul J. Pigram

Summary: In this study, two different ToF-SIMS imaging datasets were used to evaluate the impact of data preprocessing methods and SOM hyperparameters on the performance of SOM. It was found that preprocessing is generally more important than hyperparameter selection, and there are complex interactions between different parameters. The results of this study are important for understanding the effects of data processing on hyperspectral imaging data.

JOURNAL OF VACUUM SCIENCE & TECHNOLOGY A (2023)

Article Polymer Science

New insight into degradation mechanisms of conductive and thermally resistant polyaniline films

Dilek Yalcin, Sarah Bamford, Maria Espiritu, Nick Rigopoulos, Ivan Martinez-Botella, David Alexander, Yesim Gozukara, Mark Greaves, Eric A. Bruton, Patrick J. Kinlen, Shaun Howard, Paul J. Pigram, Benjamin W. Muir, Thomas M. Kohl

Summary: A novel polymer blend formulation was developed by adding polyurethane (PU) and sulfonyldiphenol (SDP) to a dinonylnaphthalene sulfonic acid (DNNSA)-doped polyaniline (PANI) matrix. The results showed that the inclusion of PU and SDP remarkably improved the thermal stability of the films, maintaining desirable conductivity levels over a week. This study provides insights into the functionality, optimization, and deployment of these new film types.

POLYMER DEGRADATION AND STABILITY (2023)

Article Chemistry, Multidisciplinary

Polysaccharide-Targeting Lipid Nanoparticles to Kill Gram-Negative Bacteria

Xiangfeng Lai, Seong Hoong Chow, Anton P. Le Brun, Benjamin W. Muir, Phillip J. Bergen, Jacinta White, Heidi H. Yu, Jiping Wang, Jill Danne, Jhih-hang Jiang, Francesca L. Short, Mei-Ling Han, Richard A. Strugnell, Jiangning Song, Neil R. Cameron, Anton Y. Peleg, Jian Li, Hsin-Hui Shen

Summary: This study successfully developed a lipid nanoparticle based on monolaurin that can effectively eliminate the polysaccharides of Gram-negative bacteria. When used in conjunction with polymyxin B, these nanoparticles have a synergistic antimicrobial effect through multiple mechanisms.

SMALL (2023)

Article Metallurgy & Metallurgical Engineering

A machine learning approach for accelerated design of magnesium alloys. Part A: Alloy data and property space

M. Ghorbani, M. Boley, P. N. H. Nakashima, N. Birbilis

Summary: This work proposes a new approach that utilizes data science to analyze the existing data in the field of Mg-alloy design. Through the development of a consolidated alloy database and the implementation of clustering using machine learning, the effects of alloying and thermomechanical processing on mechanical properties were explored, and the relationships between microstructure and mechanical properties were understood. This work introduces an invaluable open-source database and provides insights for future accelerated digital Mg-alloy design.

JOURNAL OF MAGNESIUM AND ALLOYS (2023)

Article Chemistry, Analytical

Comparison of Tiling Artifact Removal Methods in Secondary Ion Mass Spectrometry Images

Sevvandi Kandanaarachchi, Wil Gardner, David L. J. Alexander, Benjamin W. Muir, Philippe A. Chouinard, Sheila G. Crewther, David J. Scurr, Mark Halliday, Paul J. Pigram

Summary: This study investigated six different computational methods for tiling artifact removal in ToF-SIMS imaging. The results show that there is no universally acceptable method and the effectiveness of the artifact removal method depends on the specific characteristics of the data set analyzed.

ANALYTICAL CHEMISTRY (2023)

Review Chemistry, Multidisciplinary

Trap suppression in ordered organic photovoltaic heterojunctions

Dan He, Yawen Li, Fuwen Zhao, Yuze Lin

Summary: High trap density in organic solar cells leads to localized charge carriers and reduced carrier lifetime, limiting device efficiency. This feature article summarizes the recent advances of trap suppression by material design and device engineering.

CHEMICAL COMMUNICATIONS (2024)

Review Chemistry, Multidisciplinary

Controversial mechanism of simultaneous photocatalysis and Fenton-based processes: additional effect or synergy?

Olivier Monfort, Arshitha Madhusudhan, Martin Motola

Summary: This article presents the advantages of coupling photocatalysis and Fenton-based processes for environmental remediation and discusses their synergy. It critically examines the simultaneous triggering of these two processes and provides insights into research approaches. The study aims to enhance understanding of this complex process and highlight the potential integration of new catalysts in current wastewater treatment technology.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Polymerization of monomer aggregates for tailoring and patterning water wettability

Manideepa Dhar, Chittaranjan Mishra, Avijit Das, Uttam Manna

Summary: An approach of 'polymerization of monomers in its aggregated form' has been introduced to tailor the water wettability of fibrous and porous substrates, achieving hydrophobicity to superhydrophobicity transition, as well as patterned wettability. This facile chemical method provides a durable coating with adjustable and patterned wettability for various potential applications.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Pd/Brønsted acid catalysed intramolecular N-allylation of indoles and pyrroles with alkynes for the synthesis of N-fused heterocycles

Saswat Ranjan Bhoi, Chhanda Debnath, Shikha Gandhi

Summary: In this article, a novel catalytic reaction using Pd(0) and Bronsted acid is reported for the synthesis of biologically important imidazolidinone-fused N-heterocycles through redox-neutral intramolecular N-allylation of indoles and pyrroles with alkynes. This atom-economical method is applicable to a wide range of substrates and eliminates the need for leaving groups or oxidizing agents commonly used in traditional allylation reactions.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Rh(III)-catalyzed selective mono- and dual-functionalization/cyclization of 1-aryl-5-aminopyrazoles with iodonium ylides

Longkun Chen, Mingshuai Zhang, Meichen Liu, Zhuoyuan Liu, Yuetong Qiu, Zhilai Zhang, Fuchao Yu, Jiuzhong Huang

Summary: In this study, an efficient Rh(III)-catalyzed selective mono- and dual-C-H bond functionalization/cyclization with iodonium ylide as the sole coupling partner was demonstrated. Fused benzodiazepine skeletons were obtained in excellent yields, providing an improved approach to dual C-H unsymmetrical functionalization.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Modified minimal-size fragments of heparan sulfate as inhibitors of endosulfatase-2 (Sulf-2)

Alice Kennett, Sven Epple, Gabriella van der Valk, Irene Georgiou, Evelyne Gout, Romain R. Vives, Angela J. Russell

Summary: This study presents the design and synthesis of sulfated disaccharide inhibitors based on IdoA(2S)-GlcNS(6S), which showed potent inhibition of Sulf-2. The results suggest that IdoA(2S)-GlcNS(6S) is the shortest fragment size required for effective inhibition of Sulfs, and a trisulfated disaccharide is identified as the minimal fragment size of heparan sulfate for effective endosulfatase inhibition.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Reductive cyclodimerization of chalcones: exploring the self-adaptability of galvanostatic electrosynthesis

Mauro Garbini, Andrea Brunetti, Riccardo Pedrazzani, Magda Monari, Massimo Marcaccio, Giulio Bertuzzi, Marco Bandini

Summary: The self-adaptability of galvanostatic electrolysis was found to be helpful in a multistage chemo- and diastereoselective electrochemically promoted cyclodimerization of chalcones. Through a series of reductive events, densely functionalized cyclopentanes with five contiguous stereocenters were obtained (25 examples, yields up to 95%, dr values up to >20:1). Further experimental and electrochemical investigations indicated the crucial role of dynamic kinetic resolution of the aldol intermediate in the reaction mechanism.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Rh(III)-catalyzed oxidative [4+2] annulation of 2-arylquinoxalines and 2-aryl-2H-indazoles with allyl alcohols

Dhananjay S. Nipate, Neha Meena, Prakash N. Swami, Krishnan Rangan, Anil Kumar

Summary: In this study, the synthesis of functionalized benzo[a]phenazines and indazolo[2,3-a]quinolines was achieved through Rh(III)-catalyzed oxidative annulation of 2-arylquinoxalines and 2-aryl-2H-indazoles with allyl alcohols. The method showed a wide substrate scope, excellent functional group tolerance, good to high yields of annulated products, and the capability for scaled-up synthesis. A tentative mechanism of the annulation reaction was proposed based on a preliminary mechanistic investigation.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

PbTeB4O9: a lead tellurium borate with unprecedented fundamental building block [B4O10] and large birefringence

Ruonan Zhang, Abudukadi Tudi, Xia Yang, Xuping Wang, Zhihua Yang, Shujuan Han, Shilie Pan

Summary: A new lead tellurium borate material with a unique fundamental building block [B4O10] was synthesized and found to exhibit high birefringence. The structure-property relationship was discussed using first-principles calculations.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Wafer-scale synthesis of two-dimensional ultrathin films

Amresh Kumar Singh, Baishali Thakurta, Anupam Giri, Monalisa Pal

Summary: This study introduces three key concepts for the quick synthesis of large-scale high-quality 2D materials films and their utilization in device fabrication.

CHEMICAL COMMUNICATIONS (2024)

Article Chemistry, Multidisciplinary

Precise design of copolymer-conjugated nanocatalysts for active electron transfer

Reina Hagiwara, Shun Nishimura, Kosuke Okeyoshi

Summary: A copolymer-conjugated nanocatalytic system has been developed to improve electron transfer and enhance photoinduced H2 generation.

CHEMICAL COMMUNICATIONS (2024)