Rapid Analysis Techniques in Food Microbiology

In 2016, two special issues have been launched and attended in this journal, "Challenges in New Technologies for Security" (http://www.mdpi.com/journal/challenges/special_issues/tech_security) and “Food Microbiology: Technologies and processes, microbiology analysis methods, and antimicrobials” (http://www.mdpi.com/journal/challenges/special_issues/food-microbiology). In this editorial, I will review one of the topics of biological hazards detection, i.e. the rapid analysis of biological agents (DNA and antigens of fungi, bacteria, and viruses) and their toxins.

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Rapid analysis techniques for ultimate strength predictions of aluminum structures

Advances in Marine Structures ◽

10.1201/b10771-16 ◽

2011 ◽

pp. 109-117 ◽

Cited By ~ 1

Author(s):

M Collette

Keyword(s):

Ultimate Strength ◽

Rapid Analysis ◽

Analysis Techniques

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Population and Functional Genomics of Neisseria Revealed with Gene-by-Gene Approaches

Journal of Clinical Microbiology ◽

10.1128/jcm.00301-16 ◽

2016 ◽

Vol 54 (8) ◽

pp. 1949-1955 ◽

Cited By ~ 25

Author(s):

Martin C. J. Maiden ◽

Odile B. Harrison

Keyword(s):

Open Access ◽

Genome Sequencing ◽

Low Cost ◽

Rapid Analysis ◽

Whole Genome ◽

Conceptual Approach ◽

Content Type ◽

Analysis Techniques ◽

Starting Point ◽

Insight Into

Rapid low-cost whole-genome sequencing (WGS) is revolutionizing microbiology; however, complementary advances in accessible, reproducible, and rapid analysis techniques are required to realize the potential of these data. Here, investigations of the genusNeisseriaillustrated the gene-by-gene conceptual approach to the organization and analysis of WGS data. Using the gene and its link to phenotype as a starting point, the BIGSdb database, which powers the PubMLST databases, enables the assembly of large open-access collections of annotated genomes that provide insight into the evolution of theNeisseria, the epidemiology of meningococcal and gonococcal disease, and mechanisms ofNeisseriapathogenicity.

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An example of spectrum imaging used for comparison of EELS quantitative analysis techniques on Al-Li

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s042482010008794x ◽

1991 ◽

Vol 49 ◽

pp. 726-727

Author(s):

John A. Hunt

Keyword(s):

Quantitative Analysis ◽

Large Data ◽

Difference Spectrum ◽

Large Data Sets ◽

Foil Thickness ◽

Data Sets ◽

Analysis Techniques ◽

Spectrum Imaging ◽

Normal Spectrum ◽

Electron Energy Loss

Spectrum-imaging is a useful technique for comparing different processing methods on very large data sets which are identical for each method. This paper is concerned with comparing methods of electron energy-loss spectroscopy (EELS) quantitative analysis on the Al-Li system. The spectrum-image analyzed here was obtained from an Al-10at%Li foil aged to produce δ' precipitates that can span the foil thickness. Two 1024 channel EELS spectra offset in energy by 1 eV were recorded and stored at each pixel in the 80x80 spectrum-image (25 Mbytes). An energy range of 39-89eV (20 channels/eV) are represented. During processing the spectra are either subtracted to create an artifact corrected difference spectrum, or the energy offset is numerically removed and the spectra are added to create a normal spectrum. The spectrum-images are processed into 2D floating-point images using methods and software described in [1].

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