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Peer-Reviewed Scientific Articles

Below is a list of J Renwick Beattie’s contributions to the scientific literature in the form of peer- reviewed articles.


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DATA ANALYSIS

Real World Data simulation for high information signal based methods

CALCIUM

Quantifying calcium in infant formula comparative study

FRACTURE

Bone active medication induces parallel changes in bone and claw



FRACTURE

2021

2020

2018

2018

2019

SIGNAL PROCESSING

Multivariate based signal processing improves analytic performance

RETINA

RP causes major redistribution of biochemicals in the retina

SIGNAL PROCESSING

Using multivariate components to perform signal processing is noise insensitive

PROTEIN AGING

Outer surface of eye acts as a surrogate marker of events inside the eye.

PROTEIN AGING

Multiplexed analysis of ageing related modifications at the rear of the retina

2013

2012

2010

2011

2011

Diagnosis and prognosis of lung cancers

ONCOLOGY

Methodlogy for mapping lipids in tissues

FATS

SIGNAL PROCESSING

Impact of intensity normalisation on the dataset

PROTEIN AGING

Review of AGE and ALEs in the aging of the human retina

MEAT QUALITY

Predicting pork eating quality and cooking time

2010

2009

2008

2008

2009

PROTEIN AGING

Spectral database of protein modifications

RETINA

Mapping dominant biochemicals in the inner retina


FATS

Identify animal species based on lipid composition in adipose tissue

PROTEIN AGING

Detect protein degradation in ocular tissue using Raman

PHARMACEUTICALS

Mannitol phase transitions during freezing

2008

2007

2007

2007

2007

FATS

Mapping vitamin E and its degradation products in lung

FATS

Fatty acid composition of adipose tissue without extraction

ONCOLOGY

Discriminate between normal and cancerous prostatic cell lines

Mapping multiplex biochemicals in retina

RETINA

MEAT QUALITY

Prediting mechanically and sensory assessed tenderness of beef

2007

2006

2004

2005

2006

FATS

Relationship between Raman spectra and fatty acid lipids

Predictiing fatty acid composition of clarified butter

FATS

PHARMACEUTICAL

Samping strategies and detecting illicit drugs

FATS

Simulated vs experimental fatty acid spectra, medium chain

FATS

Simulated vs experimental fatty acid spectra, short chain

2004

2004

2002

2003

2004

LinkedIn logo linking to profile for J Renwick BeattieLogo for ResearchGate linking to profile for J Renwick BeattieGoogle Scholar Logo with link to profile for J Renwick BeattieThumbnail of scatter graph from linked article showing how fracture risk and osteoposois status interact. Raman measurement of fingernals is able to capture more information on fracture risk than DXA.Thumbnail from linked journal article comparing ROC curves for estimating fracture risk using Raman spectroscopy of fingernais, DXA and a health questionaire. Raman is significantly better and combining with health questionaire is even betterThumbnail from linked journal article showing the regression lines for Raman predicted trans fatty acid content vs GC measured content for butter and spreads. Spreads and butters have distinct compositions and so do not suit being in the same model.Thumbnail of graphs summarising the benefit of using multivariate components for signal processing taken from paper this link directs toThumbnail of figure from linked paper that comparing the impact of baseline correction in the traditional per signal method versus using multivariate componentsThumbnail showing changes in Raman maps of several chemical constituents of retina in retinitis pigmentosa. Thumbnail from linked paper of chemical maps showing the improvement in image quality that can be obtained when signal data is processed uing multivariate methods as opposed to per-signal approachesThumbnail of linked paper showing that the sclera (outer surface of the eye) shows a parallel, though reduced, increase in protein modifications compared to inside the eye, suggesting it may be useful as a surrogate marker of what is happening within the eye.Thumbnail from linked paper of a Raman image comparing the distribution of chemical constitutents within a filter membrane (Bruch's) at the rear of the eyeScatter plot showing how Raman can discriminate between cancerous and non-cancerous lung tissueChemical image showing the distribution of lipids in the lung alveloi.Concnetration is localise to type II cells and the inner lining of the alvelousPlot showing that the application of different intensity normalisation routines to spectral and signal based data can radically alter the distribution in a dataset.Thumbnail showing Raman spectra if a range of protien degradation products associated with ageing and diseases (advanced glycation and advanced lipoxidation products)Raman spectra of cooked pork is correlated with the tenderness as measured by the shear force.Raman spectra of different advanced glycation and lipoxidation endproducts, protein degradation markers associated with aging and diseaseChemical maps produced from Raman imaging of the inner retina, banding due to the different layers is clearly visibleLinear Discriminant score plot showing how Raman spectroscopy can distinguish between different species of farm animal based on adipose tissueRaman spectra showing the chemical changes induced when proteins are modified by glycation or lipoxidationRaman allows mapping of mannitol crystallisation in frozen drops, showing that it migrates to the edge and adopts specific polymorphic formsRaman maps comparing the distribution of tocopherols, their degradation products and cytochromes in lung alveolusRaman spectra of adipose tissue recorded at room temperature after simple dissectionRaman maps of prostatic cell lines for normal and cancerous cells. Shown are the cytoplasm and nucleus distributionsFalse colour Raman map of the biochemicals located within the outer retina. Distribution follows the very stong layered structure of the retinaRaman spectra of tough and tender beef compared. A significant regression model was built between sensory assessed meat tenderness and the Raman spectra of the beefThe intensity of the CHx bands increase as the chain length of fatty acid methyl esters increases. However, there is a different response in odd and even numbered chainsRaman spectra superimposed on regression coefficicents showing how the prediction of fatty acid content relates to the original spectraDistribution map for the active ingredient in street recovered ecstacy tablets showing the gross inhomogeniety presentComparing simulated Raman spectra using different basis sets with experimentally recorded data, showing excellent peak position agreement and weak intensity agreementEnergy contour map showing the relationship between bond angles and system energy in short chain fatty acids

Nail protein structure changes in parallel with bone protein

FRACTURE

Thumbnail showing how the Raman score for claw and bone change between baseline and oavriectomised, compared against microCT data showing loss of bone mineral

Nail protein predicts fracture prognosis 13 years in advance

DATA ANALYSIS

2021

Thumbnail showing how the Raman score for claw and bone change between baseline and oavriectomised, compared against microCT data showing loss of bone mineral

FRACTURE

Nail Keratin associated with fracture is less ordered

FRACTURE

Nail keratin acts as a marker of bone fragility

FATS

Quantifying unhealthy fats in dairy products



Exploitng power of multivariate analyses for signal processing

Methodology for multiplex detection of markers of ageing

SIGNAL PROCESSING

PROTEIN AGING

2017

2016

2013

2014

2015

Thumbnail of scatter graph from linked article showing how fracture risk and osteoposois status interact. Raman measurement of fingernals is able to capture more information on fracture risk than DXA.Thumbnail from linked journal article comparing ROC curves for estimating fracture risk using Raman spectroscopy of fingernais, DXA and a health questionaire. Raman is significantly better and combining with health questionaire is even betterThumbnail from linked journal article showing the regression lines for Raman predicted trans fatty acid content vs GC measured content for butter and spreads. Spreads and butters have distinct compositions and so do not suit being in the same model.Thumbnail of graphs summarising the benefit of using multivariate components for signal processing taken from paper this link directs toThumbnail of protein modification distribution on a filter membrane (Bruch's) located behind the retina at the rear of the eye

Visual Tutorial on mathematical derivation of PCA