scholarly journals Application of Gel-based Proteome Analysis Techniques to Studying Post-mortem Proteolysis in Meat

2004 ◽  
Vol 17 (9) ◽  
pp. 1296-1302 ◽  
Author(s):  
I. H. Hwang
Keyword(s):  
Proteome Analysis ◽  
Post Mortem ◽  
Analysis Techniques

Review—Post-Mortem Analysis of Aged Lithium-Ion Batteries: Disassembly Methodology and Physico-Chemical Analysis Techniques

2016 ◽  
Vol 163 (10) ◽  
pp. A2149-A2164 ◽  
Author(s):  
Thomas Waldmann ◽  
Amaia Iturrondobeitia ◽  
Michael Kasper ◽  
Niloofar Ghanbari ◽  
Frédéric Aguesse ◽  
...  
Keyword(s):  
Chemical Analysis ◽  
Lithium Ion Batteries ◽  
Lithium Ion ◽  
Post Mortem ◽  
Analysis Techniques ◽  
Physico Chemical ◽  
Chemical Analysis Techniques

scholarly journals Proteomic Changes in Sarcoplasmic and Myofibrillar Proteins Associated with Color Stability of Ovine Muscle during Post-Mortem Storage

Foods ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 2989
Author(s):  
Xiaoguang Gao ◽  
Dandan Zhao ◽  
Lin Wang ◽  
Yue Cui ◽  
Shijie Wang ◽  
...  
Keyword(s):  
Energy Metabolism ◽  
Molecular Mechanisms ◽  
Proteome Analysis ◽  
Color Stability ◽  
Post Mortem ◽  
Theoretical Understanding ◽  
Metabolism Enzymes ◽  
Longissimus Lumborum ◽  
Different Color ◽  
Differentially Abundant Proteins

The objective of this study was to investigate the proteomic characteristics for the sarcoplasmic and myofibrillar proteomes of M. longissimus lumborum (LL) and M. psoasmajor (PM) from Small-tailed Han Sheep. During post-mortem storage periods (1, 3, and 5 days), proteome analysis was applied to elucidate sarcoplasmic and myofibrillar protein changes in skeletal muscles with different color stability. Proteomic results revealed that the identified differentially abundant proteins were glycolytic enzymes, energy metabolism enzymes, chaperone proteins, and structural proteins. Through Pearson’s correlation analysis, a few of those identified proteins (Pyruvate kinase, Adenylate kinase isoenzyme 1, Creatine kinase M-type, and Carbonic anhydrase 3) were closely correlated to representative meat color parameters. Besides, bioinformatics analysis of differentially abundant proteins revealed that the proteins mainly participated in glycolysis and energy metabolism pathways. Some of these proteins may have the potential probability to be predictors of meat discoloration during post-mortem storage. Within the insight of proteomics, these results accumulated some basic theoretical understanding of the molecular mechanisms of meat discoloration.

scholarly journals Monitoring post mortem changes in porcine muscle through 2-D DIGE proteome analysis of Longissimus muscle exudate

2013 ◽  
Vol 11 (1) ◽  
pp. 9 ◽  
Author(s):  
Alessio Di Luca ◽  
Giuliano Elia ◽  
Anne Maria Mullen ◽  
Ruth M Hamill
Keyword(s):  
Proteome Analysis ◽  
Longissimus Muscle ◽  
Post Mortem ◽  
Porcine Muscle

Protein changes in post mortem large yellow croaker (Pseudosciaena crocea) monitored by SDS-PAGE and proteome analysis

Food Control ◽  
2014 ◽  
Vol 41 ◽  
pp. 49-55 ◽  
Author(s):  
Tingting Li ◽  
Jianrong Li ◽  
Wenzhong Hu ◽  
Jinru Chen ◽  
Hongjun Li
Keyword(s):  
Proteome Analysis ◽  
Large Yellow Croaker ◽  
Post Mortem ◽  
Pseudosciaena Crocea ◽  
Sds Page

Proteome analysis of early post-mortem changes in two bovine muscle types:M. longissimus dorsi andM. semitendinosis

PROTEOMICS ◽  
2006 ◽  
Vol 6 (3) ◽  
pp. 936-944 ◽  
Author(s):  
Xiaohong Jia ◽  
Kristin Hollung ◽  
Margrethe Therkildsen ◽  
Kjell Ivar Hildrum ◽  
Emøke Bendixen
Keyword(s):  
Proteome Analysis ◽  
Longissimus Dorsi ◽  
Post Mortem ◽  
Bovine Muscle

scholarly journals Comparative Proteome Analysis of Porcine Longissimus dorsi on the Basis of pH24 of Post-mortem Muscle

2012 ◽  
Vol 4 (9) ◽  
Author(s):  
Juhyun Nam ◽  
Dong-Gi Lee ◽  
Joseph Kwon ◽  
Chi-Won Choi ◽  
Seong Hwa Park ◽  
...  
Keyword(s):  
Proteome Analysis ◽  
Longissimus Dorsi ◽  
Post Mortem

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

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].

Dissociated Σ=27 boundaries in silicon

1988 ◽  
Vol 46 ◽  
pp. 624-625
Author(s):  
A. Garg ◽  
W.A.T. Clark ◽  
J.P. Hirth
Keyword(s):  
Electron Diffraction ◽  
Local Minimum ◽  
Boundary Energy ◽  
Coincidence Site Lattice ◽  
Boundary Plane ◽  
Low Energy ◽  
Theoretical Understanding ◽  
Site Lattice ◽  
Kikuchi Pattern ◽  
Analysis Techniques

In the last twenty years, a significant amount of work has been done in the theoretical understanding of grain boundaries. The various proposed grain boundary models suggest the existence of coincidence site lattice (CSL) boundaries at specific misorientations where a periodic structure representing a local minimum of energy exists between the two crystals. In general, the boundary energy depends not only upon the density of CSL sites but also upon the boundary plane, so that different facets of the same boundary have different energy. Here we describe TEM observations of the dissociation of a Σ=27 boundary in silicon in order to reduce its surface energy and attain a low energy configuration.The boundary was identified as near CSL Σ=27 {255} having a misorientation of (38.7±0.2)°/[011] by standard Kikuchi pattern, electron diffraction and trace analysis techniques. Although the boundary appeared planar, in the TEM it was found to be dissociated in some regions into a Σ=3 {111} and a Σ=9 {122} boundary, as shown in Fig. 1.

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