A method and application of rapid detection of 6 quality index substances in Ophiopogon japonicus alcohol extract
A technology of quality indicators and material content, applied in the direction of measuring devices, color/spectral characteristic measurement, instruments, etc., can solve the problems of long instrument time, high requirements for instruments and analysts, troublesome pretreatment, etc., to ensure the quality of completion and shorten the time Measuring time and ensuring the effect of product quality
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Embodiment 1
[0046] Method flow see figure 1 .
[0047] 1. Collection of calibration set samples:
[0048] Accurately weigh 30g of Ophiopogon japonicus decoction pieces, place them in a glass jacketed extraction tank, add alcohol solution as the extraction solvent, heat and reflux for extraction for a period of time, then collect the filtrate, repeat the above steps, a total of decoction pieces are refluxed and extracted twice, different batches of wheat The amount of ethanol, alcohol concentration and single extraction time in the winter ethanol reflux extraction process were all different. From 10 batches of Ophiopogon japonicus ethanol reflux extraction process, the extraction solution was drawn from time to time, and a total of 14 calibration set samples were obtained;
[0049] 2. Determination of reference values of fructose, glucose and sucrose content in calibration set samples
[0050] High performance liquid chromatography coupled with evaporative light scattering detector (H...
Embodiment 2
[0094] According to the method of Example 1, the difference is that the calculation software Simca-P+12.0 (Umetrics, Sweden) is used instead, and the PLS method is used to establish the quantitative calibration model of 6 quality indicators in the radix radix alcohol extract.
[0095] 1. Use the same calibration set sample as in Example 1, its reference value, and ultraviolet spectrum.
[0096] 2. Establishment of calibration model
[0097] Using Simca to process the raw data, optimize the preprocessing method and band selection of the spectrum, and process the raw data with the optimal band range and sample preprocessing method to obtain the characteristic spectral information of the ethanol extract of Ophiopogon japonicus. The quantitative regression model of six quality indicators was established by PLS method, and the internal validation was carried out by leave-one-out crossover.
[0098] (1) Modeling optimization of different spectral preprocessing methods: SG smoothing...
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