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Journal Highlight: Chemometric authentication of Brazilian coffees based on chemical profiling

Date: Nov 12, 2019

Author: spectroscopyNOW

Different chemometric tools have been compared for the classification of conventional organic coffees from the main Brazilian producing regions based on the chemical composition, physicochemical properties, and antioxidant activity.

Read More thumbnail image: Journal Highlight Chemometric authentication of Brazilian coffees based on chemical profiling

False protein biomarkers: Sample handling biases in proteomic studies

Date: Nov 7, 2019

Author: Steve Down

Plasma proteome profiling has been used to create biomarker panels of sample quality that will help to minimise bias resulting from sample collection and processing by identifying rogue proteins from other blood components such as erythrocytes.

Read More thumbnail image: False protein biomarkers Sample handling biases in proteomic studies

Journal Highlight: Effect of Cu doping on structural and optical properties of ZnO nanoparticles using sol–gel method

Date: Nov 6, 2019

Author: spectroscopyNOW

The optical properties of zinc oxide have been optimised by doping with copper in a low cost sol–gel synthetic method, narrowing the band gap to make it useful for devices such as solar cells, chemical sensors, UV photodetectors and optoelectronics.

Read More thumbnail image: Journal Highlight Effect of Cu doping on structural and optical properties of ZnO nanoparticles using solgel method

Journal Highlight: Graphene metamaterials for intense, tunable and compact extreme ultraviolet and X‐ray sources

Date: Nov 5, 2019

Author: spectroscopyNOW

A unique free‐electron light source has been developed using multilayer graphene metamaterials to support plasmonic modes that interact with an electron beam, paving the way to high‐yield compact tunable sources of extreme UV to X‐ray light.

Read More thumbnail image: Journal Highlight Graphene metamaterials for intense tunable and compact extreme ultraviolet and Xray sources

Journal Highlight: High‐throughput bioassays using "dip‐and‐go" multiplexed electrospray mass spectrometry

Date: Nov 4, 2019

Author: spectroscopyNOW

A novel multiplexed system based on inductive nanoelectrospray mass spectrometry and field amplification micro‐electrophoresis has been developed using "dip‐and‐go"” sample loading and purification.

Read More thumbnail image: Journal Highlight Highthroughput bioassays using dipandgo multiplexed electrospray mass spectrometry

Marijuana breathtest: Nanotube breathalyser

Date: Nov 1, 2019

Author: David Bradley

US researchers have turned to Ultraviolet-visible spectroscopy and mass spectrometry to help them test a new device - a breathalyser for the psychoactive component of marijuana, Cannabis species.

Read More thumbnail image: Marijuana breathtest Nanotube breathalyser

Airborne chemicals: Raman detector

Date: Nov 1, 2019

Author: David Bradley

A device based on Raman spectroscopy can detect and identify a range of airborne pollutants quickly and easily, thanks to work published by a team from Singapore.

Read More thumbnail image: Airborne chemicals Raman detector

Meaning: Functional MRI fills the form

Date: Nov 1, 2019

Author: David Bradley

Functional magnetic resonance imaging (fMRI) has been used by a team at Carnegie Mellon University to interpret human brain scans of regions of the brain thought to be involved in abstract concepts, such as justice, ethics, and even consciousness

Read More thumbnail image: Meaning Functional MRI fills the form

Brain cancer test: Infrared bio-signatures

Date: Nov 1, 2019

Author: David Bradley

Artificial intelligence can be used to interpret a "bio-signature" from infrared testing of a blood sample to reveal early signs of brain cancer, according to research from the University of Strathclyde.

Read More thumbnail image: Brain cancer test Infrared bio-signatures

Journal Highlight: Protein structure prediction assisted with sparse NMR data in CASP13

Date: Oct 31, 2019

Author: spectroscopyNOW

An investigation of the impact of sparse NMR data on the accuracy of protein structure prediction by CASP13 has suggested a novel approach in which advanced prediction methods are first used to generate structural models, and sparse NMR data is then used to validate and/or refine these models.

Read More thumbnail image: Journal Highlight Protein structure prediction assisted with sparse NMR data in CASP13
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