Distribution of nitrogen in goats' milk and use of capillary electrophoresis to determine casein fractions

2000 ◽  
Vol 67 (1) ◽  
pp. 113-117 ◽  
Author(s):  
ANTONIA GARCÍA-RUIZ ◽  
ROSINA LÓPEZ-FANDIÑO ◽  
LUCIDIA LOZADA ◽  
JAVIER FONTECHA ◽  
MARÍA J. FRAGA ◽  
...  
Keyword(s):  
Capillary Electrophoresis ◽  
High Resolution ◽  
Cation Exchange ◽  
Milk Proteins ◽  
Automated Analysis ◽  
Small Sample ◽  
Allelic Variants ◽  
Sds Page ◽  
Very High

The last few years have seen a number of advances in the understanding of genetic polymorphisms of caprine caseins, and especially in molecular characterization of the allelic variants and analysis of their frequencies in Spanish and other breeds (Grosclaude et al. 1994; Jordana et al. 1996). Although more is being discovered about the influence of these polymorphisms on the yield and characteristics of cheeses (Remeuf, 1993; Pirisi et al. 1994), little work has been done on the quantitation of different casein fractions of goats' milk throughout lactation. Measurements have been made using SDS-PAGE (Quiles et al. 1990) and cation- exchange FPLC (Brown et al. 1995), and Recio et al. (1997a) have demonstrated the potential of capillary electrophoresis (CE) for the analysis and quantitation of milk proteins. Use of CE has resulted in the development of rapid automated analysis with very high resolution, requiring very small sample and buffer volumes and with a significantly reduced amount of solvent waste.The aim of the present study was to determine the influence of herd and milking period on the contents of the various nitrogen and casein fractions, the latter being determined by CE, in milk from goats of the Murciana-Granadina breed.

Evaluation of Very High Resolution Multi-Wavelength Raman Spectroscopy for In-Line Characterization of Patterned Epitaxial Si1-xGex Layers on Si(100) Wafers

2019 ◽  
Vol 35 (2) ◽  
pp. 205-212 ◽  
Author(s):  
Victor Vartanian ◽  
Takeshi Ueda ◽  
Toshikazu Ishigaki ◽  
Kitaek Kang ◽  
Woo Sik Yoo
Keyword(s):  
Raman Spectroscopy ◽  
High Resolution ◽  
Multi Wavelength ◽  
Very High

scholarly journals Morphology, Protein Profile and the Level of Infestation of Bedbugs (Hempitera: Cimicidae) in the Halls of Residence of a Higher Institution in Lagos.

2019 ◽  
Vol 1 ◽  
pp. 96-104
Author(s):  
K A Kemabonta ◽  
M O Ajiboye
Keyword(s):  
Staining Method ◽  
Profile Analysis ◽  
Protein Profile ◽  
Polyacrylamide Gel Electrophoresis ◽  
Morphological Characterization ◽  
Sds Page ◽  
Higher Institution ◽  
Cimex Hemipterus ◽  
Very High

Morphology, protein profile and the level of Bedbug infestations were carried out at a University in Lagos, Nigeria after an outcry of high infestation by the students in halls of residence. Three bedbugswere each collected from nine halls of residence for morphological characterization of adults and to carry out protein profile analysis usingSodium Dodecyl Sulfate Polyacrylamide Gel Electrophoresis (SDS-PAGE) and Coomassie staining method. Level of infestation of Bedbugs was carried out in two female halls A and Busing blood smeared on the walls. All bedbugs found were Cimex hemipterus. 29.8% of the rooms in Hall Bhad no bedbug infestation, 23.9%, 20.2%, 15.4% and 10.6% had low, average, high and very high levels of bedbug infestation respectively while in A hall, it was 21.4%, 30.5%, 24.4%, 14.5% and 9.2% respectively. In A hall, 4.6%, 16.8% and 0.8% had one, two and three out of the four mattresses in the room infested with bedbugs respectively while 56.5% had all the four mattresses infested with bedbugs. In B hall, 1.6%, 16.0% and 0% had one, two and three mattresses infested with bedbugs respectively while the remaining 52.7% had all the four mattresses in the room infested with bedbugs. There was a significant relationship between the level of infestation and the number of mattresses infested in each hall (P < 0.01).The protein profile analysis of bedbugs did not show the protein bands clearly because of the low soluble protein content of Cimex hemipterus and the detection limit of Coomassie stain.

Study of the polymorphism of caprine milk caseins by capillary electrophoresis

1997 ◽  
Vol 64 (4) ◽  
pp. 515-523 ◽  
Author(s):  
ISIDRA RECIO ◽  
MARIA LUISA PÉREZ-RODRÍGUEZ ◽  
LOURDES AMIGO ◽  
MERCEDES RAMOS
Keyword(s):  
Capillary Electrophoresis ◽  
Liquid Chromatography ◽  
Sample Preparation ◽  
Cation Exchange ◽  
Genetic Polymorphisms ◽  
Quantitative Study ◽  
Milk Proteins ◽  
Capillary Electrophoresis Method ◽  
Caprine Milk ◽  
Electrophoresis Method

Polymorphism of caprine milk proteins was studied by capillary electrophoresis. Identification of casein (CN) fractions was effected by using isolated fractions from cation-exchange fast protein liquid chromatography. Genetic polymorphisms in caprine αs2-CN, αs1-CN, β-CN and κ-CN have been determined. κ-CN A and B, β-CN A and null, αs2-CN A, B and C, αs1-CN A, B, C and null, and other forms with intermediate and low αs1-CN content have been identified. The capillary electrophoresis method made it possible to analyse whole caprine milk using simple sample preparation and was rapid, automated and suitable for phenotyping studies. This method may also permit the quantitative study of different protein fractions.

scholarly journals Leveraging Deep Neural Networks to Map Caribou Lichen in High-Resolution Satellite Images Based on a Small-Scale, Noisy UAV-Derived Map

2021 ◽  
Vol 13 (14) ◽  
pp. 2658
Author(s):  
Shahab Jozdani ◽  
Dongmei Chen ◽  
Wenjun Chen ◽  
Sylvain G. Leblanc ◽  
Christian Prévost ◽  
...  
Keyword(s):  
High Resolution ◽  
Spatial Resolution ◽  
Large Scale ◽  
False Positive Rate ◽  
Scale Up ◽  
Small Sample ◽  
Small Scale ◽  
Sample Site ◽  
High Resolution Satellite Images ◽  
Very High

Lichen is an important food source for caribou in Canada. Lichen mapping using remote sensing (RS) images could be a challenging task, however, as lichens generally appear in unevenly distributed, small patches, and could resemble surficial features. Moreover, collecting lichen labeled data (reference data) is expensive, which restricts the application of many robust supervised classification models that generally demand a large quantity of labeled data. The goal of this study was to investigate the potential of using a very-high-spatial resolution (1-cm) lichen map of a small sample site (e.g., generated based on a single UAV scene and using field data) to train a subsequent classifier to map caribou lichen over a much larger area (~0.04 km2 vs. ~195 km2) and a lower spatial resolution image (in this case, a 50-cm WorldView-2 image). The limited labeled data from the sample site were also partially noisy due to spatial and temporal mismatching issues. For this, we deployed a recently proposed Teacher-Student semi-supervised learning (SSL) approach (based on U-Net and U-Net++ networks) involving unlabeled data to assist with improving the model performance. Our experiments showed that it was possible to scale-up the UAV-derived lichen map to the WorldView-2 scale with reasonable accuracy (overall accuracy of 85.28% and F1-socre of 84.38%) without collecting any samples directly in the WorldView-2 scene. We also found that our noisy labels were partially beneficial to the SSL robustness because they improved the false positive rate compared to the use of a cleaner training set directly collected within the same area in the WorldView-2 image. As a result, this research opens new insights into how current very high-resolution, small-scale caribou lichen maps can be used for generating more accurate large-scale caribou lichen maps from high-resolution satellite imagery.

Stress Characterization of Tungsten-Filled Through Silicon via Arrays Using Very High Resolution Multi-Wavelength Raman Spectroscopy

2019 ◽  
Vol 35 (2) ◽  
pp. 105-115 ◽  
Author(s):  
Jeff Gambino ◽  
Daniel Vanslette ◽  
Bucknell Webb ◽  
Cameron Luce ◽  
Takeshi Ueda ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
High Resolution ◽  
Through Silicon Via ◽  
Multi Wavelength ◽  
Very High

Systematic Coarse Graining of Biomolecular and Soft-Matter Systems

MRS Bulletin ◽  
2007 ◽  
Vol 32 (11) ◽  
pp. 929-934 ◽  
Author(s):  
Gary S. Ayton ◽  
Will G. Noid ◽  
Gregory A. Voth
Keyword(s):  
High Resolution ◽  
Soft Matter ◽  
Coarse Graining ◽  
Multiscale Simulation ◽  
Atomic Scale ◽  
Coarse Grained ◽  
Statistical Mechanical ◽  
Transfer Of Information ◽  
Very High

AbstractCoarse-grained modeling is a key component in the field of multiscale simulation. Many biomolecular and otherwise complex systems require the characterization of phenomena over multiple length and time scales in order to fully resolve and understand their behavior. These different scales range from atomic to near macroscopic dimensions, and they are generally not independent of one another, but instead coupled. That is, phenomena occurring at atomic length scales have an effect at macroscopic dimensions and vice versa. Systematic transfer of information between these different scales represents a core challenge in the field of multiscale simulation. Coarse-grained modeling works at an intermediate resolution that can bridge the very high resolution (atomic) scale to the very low resolution (macroscopic) scale. As such, a significant challenge is the development of a systematic methodology whereby coarse-grained models can be derived from their high-resolution atomistic-scale counterpart. Here, a systematic theoretical and computational methodology will be described for developing coarse-grained representations of biomolecular and other soft-matter systems. At the heart of the methodology is a variational statistical mechanical algorithm that uses forcematching of atomistic molecular dynamics data to a coarse-grained representation. A theoretical analysis of the coarse-graining methodology will be presented, along with illustrative applications to membranes, peptides, and carbohydrates.

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