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JournalISSN: 1759-9660

Analytical Methods 

Royal Society of Chemistry
About: Analytical Methods is an academic journal published by Royal Society of Chemistry. The journal publishes majorly in the area(s): Detection limit & Medicine. It has an ISSN identifier of 1759-9660. Over the lifetime, 10105 publications have been published receiving 153725 citations.


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Journal ArticleDOI
TL;DR: The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.
Abstract: Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.

1,622 citations

Journal ArticleDOI
TL;DR: In this paper, a toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy, demonstrated using a dissolved organic matter (DOM) fluorescence dataset.
Abstract: PARAllel FACtor analysis (PARAFAC) is increasingly used to decompose fluorescence excitation emission matrices (EEMs) into their underlying chemical components. In the ideal case where fluorescence conforms to Beers Law, this process can lead to the mathematical identification and quantification of independently varying fluorophores. However, many practical and analytical hurdles stand between EEM datasets and their chemical interpretation. This article provides a tutorial in the practical application of PARAFAC to fluorescence datasets, demonstrated using a dissolved organic matter (DOM) fluorescence dataset. A new toolbox for MATLAB is presented to support improved visualisation and sensitivity analyses of PARAFAC models in fluorescence spectroscopy.

1,210 citations

Journal ArticleDOI
TL;DR: The common steps to calibrate and validate classification models based on partial least squares discriminant analysis are discussed in the present tutorial, and issues to be evaluated during model training and validation are introduced and explained using a chemical dataset.
Abstract: The common steps to calibrate and validate classification models based on partial least squares discriminant analysis are discussed in the present tutorial. All issues to be evaluated during model training and validation are introduced and explained using a chemical dataset, composed of toxic and non-toxic sediment samples. The analysis was carried out with MATLAB routines, which are available in the ESI of this tutorial, together with the dataset and a detailed list of all MATLAB instructions used for the analysis.

847 citations

Journal ArticleDOI
TL;DR: Novel whole-genome classifications of the soft rot Enterobacteriaceae are presented, illustrating inconsistencies between the established taxonomies and evidence from completely sequenced isolates, and a perspective on the future impact of widespread whole- Genome sequencing and classification methods on detection and identification of bacterial plant pathogens in support of legislative and policy efforts in food security.
Abstract: Soft rot Enterobacteriaceae (SRE) are bacterial plant pathogens that cause blackleg, wilt and soft rot diseases on a broad range of important crop and ornamental plants worldwide. These organisms (spanning the genera Erwinia, Pectobacterium, Dickeya, and Pantoea) cause significant economic and yield losses in the field, and in storage. They are transmissible through surface water, by trade and other movement of plant material and soil, and in some cases are subject to international legislative and quarantine restrictions. Effective detection and diagnosis in support of food security legislation and epidemiology is dependent on the ability to classify pathogenic isolates precisely. Diagnostics and classification are made more difficult by the influence of horizontal gene transfer on phenotype, and historically complex and sometimes inaccurate nomenclatural and taxonomic assignments that persist in strain collections and online sequence databases. Here, we briefly discuss the relationship between taxonomy, genotype and phenotype in the SRE, and their implications for diagnostic testing and legislation. We present novel whole-genome classifications of the SRE, illustrating inconsistencies between the established taxonomies and evidence from completely sequenced isolates. We conclude with a perspective on the future impact of widespread whole-genome sequencing and classification methods on detection and identification of bacterial plant pathogens in support of legislative and policy efforts in food security.

740 citations

Journal ArticleDOI
TL;DR: A suite of methods for extracting microplastics ingested by biota, including dissection, depuration, digestion and density separation are evaluated, and the urgent need for the standardisation of protocols is discussed to promote consistency in data collection and analysis is discussed.
Abstract: Microplastic debris (<5 mm) is a prolific environmental pollutant, found worldwide in marine, freshwater and terrestrial ecosystems. Interactions between biota and microplastics are prevalent, and there is growing evidence that microplastics can incite significant health effects in exposed organisms. To date, the methods used to quantify such interactions have varied greatly between studies. Here, we critically review methods for sampling, isolating and identifying microplastics ingested by environmentally and laboratory exposed fish and invertebrates. We aim to draw attention to the strengths and weaknesses of the suite of published microplastic extraction and enumeration techniques. Firstly, we highlight the risk of microplastic losses and accumulation during biotic sampling and storage, and suggest protocols for mitigating contamination in the field and laboratory. We evaluate a suite of methods for extracting microplastics ingested by biota, including dissection, depuration, digestion and density separation. Lastly, we consider the applicability of visual identification and chemical analyses in categorising microplastics. We discuss the urgent need for the standardisation of protocols to promote consistency in data collection and analysis. Harmonized methods will allow for more accurate assessment of the impacts and risks microplastics pose to biota and increase comparability between studies.

669 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
2023450
2022710
2021585
2020594
2019702
2018651