Characterization of Protein Isolates from Defatted Chinese Hickory (Carya Cathayensis Sarg) Kernels

2011 ◽  
Vol 343-344 ◽  
pp. 368-373
Author(s):  
Zhi Ping He ◽  
Lin Chun Mao ◽  
Cun Shan Zhou ◽  
Feng Hua Wu
Keyword(s):  
Dry Weight ◽  
Extraction Process ◽  
Protein Isolate ◽  
Protein Nitrogen ◽  
Gelation Concentration ◽  
Carya Cathayensis ◽  
Ph Range ◽  
Emulsifying Capacity ◽  
Carya Cathayensis Sarg

Chinese hickory (Carya cathayensis Sarg.) kernel protein isolate (CKPI) was isolated from hinese hickory kernel defatted flour (CKDF) by isoelectric precipitation. CKPI was evaluated for chemical composition and selected functional properties. CKPI contained over 72.0% dry weight (DW) of protein. Nitrogen solubility curves for CKPI were pH-dependent in the pH range of 2.0-12.0 with minimum solubility observed at pH 4.0 (9.8%) and maximum solubility at pH 12.0 (89.9%). Minimum emulsifying capacity (EC) and emulsifying stability (ES) of CKPI were observed at pH 4.0. CKPI had a least gelation concentration of (LGC) of 6% (w/v) at pH 4.0. Results indicated that Chinese hickory kernel may be a new protein source with huge exploitation potential after oil extraction process in China.

Generation and characterization of nanobubbles in ionic liquid for a green extraction of polyphenols from Carya cathayensis Sarg

2021 ◽  
pp. 130932
Author(s):  
Fatima-ezzahra Ettoumi ◽  
Ruyuan Zhang ◽  
Tarun Belwal ◽  
Miral Javed ◽  
Yanqun Xu ◽  
...  
Keyword(s):  
Ionic Liquid ◽  
Green Extraction ◽  
Carya Cathayensis ◽  
Carya Cathayensis Sarg

Cloning and Characterization of a Homologue of the FLORICAULA/LEAFY Gene in Hickory (Carya cathayensis Sarg)

2011 ◽  
Vol 30 (3) ◽  
pp. 794-805 ◽  
Author(s):  
Zheng Jia Wang ◽  
Jian Qin Huang ◽  
You Jun Huang ◽  
Fang Fang Chen ◽  
Bing Song Zheng
Keyword(s):  
Leafy Gene ◽  
Carya Cathayensis ◽  
Carya Cathayensis Sarg

scholarly journals Construction and Characterization of anEscherichia coli Strain Genetically Engineered for Ni(II) Bioaccumulation

2000 ◽  
Vol 66 (12) ◽  
pp. 5383-5386 ◽  
Author(s):  
Rahul Krishnaswamy ◽  
David B. Wilson
Keyword(s):  
Escherichia Coli ◽  
Energy Source ◽  
Helicobacter Pylori ◽  
Fusion Protein ◽  
Dry Weight ◽  
Coli Strain ◽  
Genetically Engineered ◽  
Gene Coding ◽  
Ph Range

ABSTRACT An Escherichia coli strain that accumulated Ni(II) was constructed by introducing the nixA gene (coding for a nickel transport system) from Helicobacter pylori into JM109 cells that expressed a glutathione S-transferase–pea metallothionein fusion protein. The resulting strain accumulated 15 μmol of Ni(II) per g (dry weight) from a 10 μM Ni(II) solution, four times the level taken up by JM109 cells. Ni(II) accumulation did not require an energy source, was inhibited by only 50% by 0.1 M NaCl, and occurred over the pH range from 3 to 9.

scholarly journals Extraction and Characterization of Pepsin Enzyme from Tuna (Thunnus albacares) Gastric

2018 ◽  
Vol 21 (3) ◽  
pp. 486 ◽  
Author(s):  
Ewi Pasaribu ◽  
Tati Nurhayati ◽  
Mala Nurilmala
Keyword(s):  
Crude Extract ◽  
Metal Ion ◽  
Specific Activity ◽  
Gastric Wall ◽  
Extraction Process ◽  
Thunnus Albacares ◽  
Fractional Precipitation ◽  
Working Temperature ◽  
Ph Range

Fish gastric is a by-product of fishery waste that has the potential to be developed as a source of pepsin enzyme, such as tuna gastric. The purpose of this study was to extract pepsin from tuna gastric and characterize the enzyme pepsin after dialysis step. The extraction process of pepsin carried out by separating the gastric wall fluid by adding Tris-HCl buffer pH 7.5, then proceed by ammonium sulphate (NH4)2SO4 fractional precipitation from 20% to 80% followed by dialysis. The results showed that the crude extract of the pepsin enzyme had a specific activity of 0.251 mg/mL. Pepsin extract from precipitation with 30-40% fraction had 4,274 U/mg activity and after dialysis, pepsin had 5,137 U / mg activity. The pepsin obtained from gastric tuna had a working temperature in the range of 20-60°C and the working pH is in the pH range 2-3.5. The metal ion, namely FeCl3 and ZnCl2 increased the activity of the pepsin by 2.97 times and 1.92 times.

Characterization of frozen hydrated biological specimens by low-loss EELS

1992 ◽  
Vol 50 (2) ◽  
pp. 1572-1573
Author(s):  
Songquan Sun ◽  
Richard D. Leapman
Keyword(s):  
Water Content ◽  
Direct Method ◽  
Internal Standard ◽  
Dry Weight ◽  
Dark Field ◽  
Protein Solutions ◽  
Subcellular Compartment ◽  
Differential Shrinkage ◽  
Electron Energy Loss

Analyses of ultrathin cryosections are generally performed after freeze-drying because the presence of water renders the specimens highly susceptible to radiation damage. The water content of a subcellular compartment is an important quantity that must be known, for example, to convert the dry weight concentrations of ions to the physiologically more relevant molar concentrations. Water content can be determined indirectly from dark-field mass measurements provided that there is no differential shrinkage between compartments and that there exists a suitable internal standard. The potential advantage of a more direct method for measuring water has led us to explore the use of electron energy loss spectroscopy (EELS) for characterizing biological specimens in their frozen hydrated state.We have obtained preliminary EELS measurements from pure amorphous ice and from cryosectioned frozen protein solutions. The specimens were cryotransfered into a VG-HB501 field-emission STEM equipped with a 666 Gatan parallel-detection spectrometer and analyzed at approximately −160 C.

Isolation and Characterization of Plasminogen Activator from Pig Leucocytes

1974 ◽  
Vol 31 (01) ◽  
pp. 072-085 ◽  
Author(s):  
M Kopitar ◽  
M Stegnar ◽  
B Accetto ◽  
D Lebez
Keyword(s):  
Molecular Weight ◽  
Plasminogen Activator ◽  
Gel Electrophoresis ◽  
Gel Filtration ◽  
Ph Optimum ◽  
Isolation And Characterization ◽  
Ph Range ◽  
Inhibition Studies ◽  
Final Purification

SummaryPlasminogen activator was isolated from disrupted pig leucocytes by the aid of DEAE chromatography, gel filtration on Sephadex G-100 and final purification on CM cellulose, or by preparative gel electrophoresis.Isolated plasminogen activator corresponds No. 3 band of the starting sample of leucocyte cells (that is composed from 10 gel electrophoretic bands).pH optimum was found to be in pH range 8.0–8.5 and the highest pH stability is between pH range 5.0–8.0.Inhibition studies of isolated plasminogen activator were performed with EACA, AMCHA, PAMBA and Trasylol, using Anson and Astrup method. By Astrup method 100% inhibition was found with EACA and Trasylol and 30% with AMCHA. PAMBA gave 60% inhibition already at concentration 10–3 M/ml. Molecular weight of plasminogen activator was determined by gel filtration on Sephadex G-100. The value obtained from 4 different samples was found to be 28000–30500.

scholarly journals Very Fast and Accurate Procedure for the Characterization of Photovoltaic Panels from Datasheet Information

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Antonino Laudani ◽  
Francesco Riganti Fulginei ◽  
Alessandro Salvini ◽  
Gabriele Maria Lozito ◽  
Salvatore Coco
Keyword(s):  
Numerical Methods ◽  
Search Space ◽  
Extraction Process ◽  
Reduced Form ◽  
Photovoltaic Panels ◽  
Approximation Techniques ◽  
Computational Costs ◽  
Minimization Technique ◽  
Accurate Procedure

In recent years several numerical methods have been proposed to identify the five-parameter model of photovoltaic panels from manufacturer datasheets also by introducing simplification or approximation techniques. In this paper we present a fast and accurate procedure for obtaining the parameters of the five-parameter model by starting from its reduced form. The procedure allows characterizing, in few seconds, thousands of photovoltaic panels present on the standard databases. It introduces and takes advantage of further important mathematical considerations without any model simplifications or data approximations. In particular the five parameters are divided in two groups, independent and dependent parameters, in order to reduce the dimensions of the search space. The partitioning of the parameters provides a strong advantage in terms of convergence, computational costs, and execution time of the present approach. Validations on thousands of photovoltaic panels are presented that show how it is possible to make easy and efficient the extraction process of the five parameters, without taking care of choosing a specific solver algorithm but simply by using any deterministic optimization/minimization technique.

Sign in / Sign up

Export Citation Format

Share Document