The invention discloses a
starch flocculation characteristic detection method based on enzymatic
liquefaction and
visual identification, and relates to the technical field of
starch quality detection and performance evaluation.The
starch flocculation characteristic detection method comprises the steps that firstly, a sample is prepared, a to-be-detected starch sample and
tap water are mixed according to a preset
mass-volume ratio, and oscillation and shaking up are conducted to form a starch milk suspension; adjusting the
system, namely adjusting the pH value of the starch
emulsion suspension to 5.2-6.5 by using a
dilute acid or dilute alkali solution; carrying out enzymolysis and
liquefaction, adding a proper amount of
amylase solution into the starch milk suspension with the adjusted pH value, and continuously oscillating or stirring under a heating condition until the
system is completely liquefied; cooling, standing and observing, naturally cooling the completely liquefied liquid to
room temperature, standing, observing whether floccules are generated on the liquid level or the solution in the standing process or after standing, and evaluating the aggregation state of the floccules; and finally judging a result. Compared with the prior art, the method has the advantages of rapidness, intuition, low cost, strong
simulation, good discrimination and flexibility.