Abstract: The present disclosure relates to the technical field of plant pests control, in particular to use of Penicillium ehrlichii Z19 in controlling plant pests, and a control method. The Penicillium ehrlichii Z19 has a deposit number of CCTCC NO: M 2021635. The Penicillium ehrlichii Z19 has a desirable insecticidal activity against lepidopteran pests, especially has a 7-day insecticidal effect of not less than 80% on Helicoverpa armigera, Plutella xylostella, Ectropis obliqua, and Spodoptera exigua. In addition, compared with traditional chemical control methods, the method for controlling pests using the Penicillium ehrlichii Z19 in the present disclosure can control the plant pests in a safe, efficient and pollution-free manner. Therefore, the method reduces pollutions to ecological environment, improves quality and safety of agricultural products, and protects human health.

Abstract: The present disclosure provides a theaflavin composition capable of promoting wound healing as well as a preparation method and use thereof. The theaflavin composition comprises theaflavin 3?-digallate or crude theaflavins as the main component; when the theaflavin composition comprises the theaflavin-3-3?-digallate as the main component, it further comprises component A or component B, or further comprises both component A and component B; when the theaflavin composition comprises the crude theaflavins as the main component, it further comprises component B, in which component A comprises sodium acetate, chitosan, and gelatin, and component B comprises glycerin, propylene glycol, triethanolamine, and Carbomer 940. The theaflavin composition provided by the present disclosure can significantly promote wound healing of diabetic mice.

Abstract: Disclosed are a tea type differentiation method and system, belonging to the technical field of detection. The method comprises: building a differentiation function by using ionic strengths of 20 compounds as evaluation indexes to discriminate tea types. According to the disclosure, the tea types are discriminated by using relative abundance of 20 compounds in tea, problems in sensory differentiation can be solved, the tea is classified more objectively and scientifically, and the reliability and accuracy of differentiation results are improved. By using three algorithms, the feasibility and accuracy of using 20 discovered compounds for tea type differentiation in a combined manner are validated.

Abstract: A method for determining a grade of black tea by HPLC detection belongs to the field of tea grade determination. The specific steps are as follows: adding known black tea powder samples of different grades into boiling water of 95-100° C. for extraction, and filtering with a filter membrane with a pore size in a range of 0.20-0.25 ?m to obtain black tea sample liquid; measuring contents of ten components by peak area normalization method; standardizing data of the contents of the ten components in a black tea sample solution; carrying out unsupervised principal component analysis; carrying out supervised partial least squares discriminant analysis; carrying out hierarchical clustering analysis on the basis of partial least squares discriminant analysis, and finally establishing a tea grade discrimination model based on HPLC. The method is simple, accurate and efficient, and whose effectiveness is not affected by the variety of black tea.