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A classification method of nutritional food Rana chensinensis ovum (RCO) was established on the basis of unsaturated fatty-acid (UFA) profiling and high-performance liquid chromatography (HPLC) fingerprints in combination with quantitative analysis of multi-components by single-marker (QAMS). The 19 batches of RCO samples were collected from the main breeding forests in northeast China. HPLC analytical method of UFAs in RCO was established by optimizing chromatographic conditions. The RCO samples from different forest regions were used to establish two kinds of HPLC fingerprints, which matched chromatographic peaks with the peak area ratio >0.5% and 7 identified UFAs. A total of 11 common peaks were obtained, of which 7 peaks were identified as eicosapentaenoic acid (EPA), α-linolenic acid (ALA), docosahexaenoic acid (DHA), arachidonic acid (ARA), docosapentaenoic acid (DPA), linoleic acid (LA) and oleic acid (OA). RCO samples were classified into three groups by hierarchical cluster analysis (HCA) and principal component analysis (PCA). Partial least squares discriminant analysis (PLS-DA) predicted differential components that may affect grade classification. The QAMS method established here showed good robustness and feasibility. ALA was designated as an internal reference, and the relative correction factors (RCFs) of the other six UFAs were calculated. Compared with the external standard method (ESM), there was no significant difference (P > 0.05, RE% between ±5.00% and cos  > 0.9999) in the quantitative analysis of UFAs in RCO by QAMS, but the newly established method is more economical and timesaving. This work provides a comprehensive evaluation method for controlling the quality of RCO. [ABSTRACT FROM AUTHOR]

In this paper, plasma concentration, plasma protein binding rate, body distribution, and excretion of both oral and intravenous administration of rats were determined by high performance liquid chromatography (HPLC) combining with UV detector. The blood drug concentration of oral and intravenous administration was summarized. The bioavailability ofT1/2was approximately 0.75 hr. At the meanwhile, the bioavailability was about 18.84 ± 2.21%. The plasma protein binding rate of 1-methyl hydantoin was about 24.36 ± 0.93%, belonging to low protein binding drug. The result shows that 1-methyl hydantoin can be rapidly distributed in various organs and tissues and quickly eliminated within 6 hr without accumulation in the organs. Its discharge from the urine and feces was 16.58 ± 4.48% and 3.37 ± 0.71%, respectively. All of the results showed that the recovery rate, liner relationship, specificity, stability, and precision of the method were good. The study also proved that 1-methyl hydantoin has been eliminated quite faster in rats. [ABSTRACT FROM AUTHOR]

As one of the featured products in northeast China, Oviductus Ranae has been widely used as a nutritious food, which contains a variety of bioactive unsaturated fatty acids (UFAs). It is necessary to establish a scientific and reliable determination method of UFA contents in Oviductus Ranae. In this work, six principal UFAs in Oviductus Ranae, namely eicosapentaenoic acid (EPA), linolenic acid (ALA), docosahexaenoic acid (DHA), arachidonic acid (ARA), linoleic acid (LA) and oleic acid (OA), were identified using UPLC-MS/MS. The UFAs identified in Oviductus Ranae were further separated based on the optimized RP-HPLC conditions. Quantitative analysis of multi-components by single-marker (QAMS) method was implemented in content determination of EPA, ALA, DHA, ARA and OA, where LA was used as the internal standard. The experiments based on Taguchi design verified the robustness of the QAMS method on different HPLC instruments and chromatographic columns. The QAMS and external standard method (ESM) were used to calculate the UFA content of 15 batches of Oviductus Ranae samples from different regions. The relative error (r < 0.73%) and cosine coefficient showed that the two methods obtained similar contents, and the method validations met the requirements. The results showed that QAMS can comprehensively and effectively control the quality of UFAs in Oviductus Ranae which provides new ideas and solutions for studying the active components in Oviductus Ranae. [ABSTRACT FROM AUTHOR]

Oviductus Ranae is a nutritional product for both medicine and food. Its quality is uneven due to multiple factors. An efficient method was established to evaluate the quality of Oviductus Ranae using fingerprint techniques and chemometric methods based on the analysis of polyunsaturated fatty acids (PUFAs) in petroleum ether extract by high performance liquid chromatography (HPLC). During this process, 27 batches of Oviductus Ranae were analyzed by HPLC and two types of chromatographic fingerprints were established. The fingerprint that was obtained by matching six known peaks was used for the quantification of six PUFAs. Another fingerprint was obtained by matching sixteen peaks with a peak area ratio greater than 0.5% and it was used to classify the different qualities of Oviductus Ranae by further combining three different chemometric models. The 27 batches of Oviductus Ranae were divided into four categories, which was consistent with the analysis results of six PUFAs contents. The two high-quality samples with significantly higher contents were classified into one category, and samples with medium contents were divided into two categories, including eight and thirteen samples, respectively. The four inferior samples with lower contents were classified into one category. The results indicated that the newly developed method has potential application prospects for the quality evaluation of Oviductus Ranae. [ABSTRACT FROM AUTHOR]

This work demonstrated a method combining reversed-phase high-performance liquid chromatography (RP-HPLC) with chemometrics analysis to identify the authenticity of Ranae Oviductus. The fingerprint chromatograms of the Ranae Oviductus protein were established through an Agilent Zorbax 300SB-C8 column and diode array detection at 215 nm, using 0.085% TFA (v/v) in acetonitrile (A) and 0.1% TFA in ultrapure water (B) as mobile phase. The similarity was in the range of 0.779–0.980. The fingerprint chromatogram of Ranae Oviductus showed a significant difference with counterfeit products. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) successfully identified Ranae Oviductus from the samples. These results indicated that the method established in this work was reliable. [ABSTRACT FROM AUTHOR]