Enzymatic Methods for Lactic and Pyruvic Acids

Author(s):  
WERNER R. FLEISCHER ◽  
DONALD T. FORMAN ◽  
WILLIAM E. HUCKABEE ◽  
A. ANTONIS ◽  
KENDALL YOUNG
2016 ◽  
Vol 39 (7) ◽  
pp. 937-945
Author(s):  
Yi Soo Kim ◽  
Sung Joong Lee ◽  
Jin Young Choi ◽  
Yun-Hi Kim ◽  
Kebede Taye Desta ◽  
...  

Author(s):  
Zimin Lü ◽  
Li Guo ◽  
Dietmar Huettner ◽  
Heiner Eckstein
Keyword(s):  

1996 ◽  
Vol 1996 ◽  
pp. 211-211
Author(s):  
Peter Young ◽  
F. P. O'Mara ◽  
M. Rath ◽  
P. J. Caffrey

Rumen fluid and cellulase based techniques are widely used to predict the digestibility of compound feeds and their ingredients. Recently gammanase enzymes have been added to some cellulase based techniques (Dowman, 1993; De Boever et al., 1994). Few comparisons of these techniques have involved by-product concentrate ingredients. The objective of this experiment was to compare the ability of three techniques, in vitro rumen fluid (RF), pepsin cellulase gammanase (PCG), and neutral detergent cellulase gammanase (NCDG), to predict the in vivo organic matter digestibility (OMD) of concentrate ingredients.


2021 ◽  
Author(s):  
Tomokazu Konishi ◽  
Risako Fujiwara ◽  
Tadaaki Saito ◽  
Tadaaki Saito ◽  
Nozomi Satou ◽  
...  

Lipoproteins in medical samples have been measured by enzymatic methods that coincide with conventional ultracentrifugation. However, the high gravity and time required for ultracentrifugation can cause sample degradation. This study presents the results of HPLC, a gentler and rapid separation method, for 55 human serum samples. The elution patterns were analysed parametrically, and the attribute of each class was confirmed biochemically. Human samples contained 12 classes of lipoproteins, each of which may consist primarily of proteins. There are three classes of VLDLs. The level of each class was distributed lognormally, and the standard amount and the 95% range were estimated. Enzymatic methods measure the levels of several mixed classes. This lognormal character suggests that the levels are controlled by the synergy of multiple factors.


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