The invention relates to the technical field of
stored grain pest detection, and discloses a Pesportunus trifoliatus RPA-SG
visualization establishment method, the method comprises
a DNA rapid extraction module, an RPA amplification module, a
visualization interpretation module and a result output module, by optimizing primer concentration and reaction time parameters, an efficient and specific RPA isothermal amplification
system is constructed, and the RPA-SG
visualization establishment method for Pesportunus trifoliatus RPA-SG visualization is realized.
Specific primers are designed on the basis of a
gene conserved region of the mitochondrial COI of the prymaria
rugosa, the sequences of the
specific primers are as shown in SEQ ID NO: 1 and SEQ ID NO: 2, and it is ensured that only target species are accurately recognized;
nucleic acid amplification is completed within 10 minutes at the constant temperature of 37 DEG C by combining an
SYBR Green I fluorescent dye labeling technology, and field
visual interpretation without complicated instruments is realized after purification treatment. By applying the technology, the whole process from
sample processing to result output can be completed within 40 minutes, the prevention and control efficiency of prymaria rugosoannulata in granaries, customs and other scenes is improved, the single detection cost is reduced, and reliable
technical support is provided for intelligent monitoring of
stored grain pests.