Establishment of a TLC Identification Method for Ensete wilsonii

[Objectives]The paper was to establish a TLC identification method for Ensete wilsonii.[Methods]Usingβ-sitosterol as the reference,the effects of preparation methods of test solutions,developing solvents,developing distances and color developing agents on TLC analysis were investigated,and the best TLC conditions for E.wilsonii were determined.[Results]The test solution prepared with 90%methanol solvent was dotted on TLC silica gel G plate,and developed with dichloromethane-toluene-methanol=10:5:1.5 as the developing solvent.Then the plate was sprayed with 10%sulfuric acid ethanol solution,and dried with hot blast for color development.Finally,the plate was examined under an ultraviolet lamp at 365 nm.The TLC results of E.wilsonii obtained showed good separation and color development effect,and the spots were clear and characteristic.[Conclusions]This method is safe,specific,and easy to operate,and can be used as a TLC identification method for E.wilsonii.

TLC Identification of Yao Medicine Pileostegia tomentellal and Extraction Technology and Content Determination of Umbelliferone

[Objectives]To establish a TLC and content determination method of Pileostegia tomentellal,with umbelliferone as the indicator component.[Methods]TLC identification was performed by silica gel G thin layer plate with n-hexane-ethyl acetate(4:3)as the developing agent,and the plate was examined by UV lamp(365 nm).The umbelliferone content was determined by HPLC:Inertsil ODS-3 C 18 column(4.60 mm×250 mm,5μm);mobile phase acetonitrile-0.2%phosphoric acid gradient elution;detection wavelength 320 nm,flow rate 1.0 mL/min,column temperature 30℃,injection volume 10μL.[Results]The chromatogram of P.tomentellal showed the same color spot in the same position as that of reference medicinal material,and the spot was clear with good specificity.Umbelliferone showed a good linear relationship when the injection volume was 2.63-131.27μg/mL(R^(2)=0.9997).The average recovery of umbelliferone in the low,middle and high adding groups of P.tomentellal was 99.57%and the RSD was 2.15%.[Conclusions]The method can effectively identify Yao medicine P.tomentellal and accurately determine the content of umbelliferone in medicinal materials,which will provide a scientific basis for the development and utilization of medicinal resources of Yao medicine P.tomentellal.

Study on TLC Differentiation for Chaige Changyuan Mixture

[Objectives]This study was conducted to establish TLC methods for Scutellariae Radix,Peucedani Radix and Puerariae Radix in Chaige Changyuan Mixture.[Methods]The preparation methods of test solutions,the development conditions,the color development inspection method and other factors were investigated for thin-layer chromatography.The three main medicines of Scutellariae Radix,Peucedani Radix and Puerariae Radix were qualitatively identified.[Results]The TLC spots of Scutellariae Radix,Peucedani Radix and Puerariae Radix could be identified well by TLC,and corresponding negative control had no interference.[Conclusions]The method is simple,available and reproducible,and can be used for the quality control of Chaige Changyuan Mixture.

Identification of Mixtures of Two Types of Body Fluids Using the Multiplex Methylation System and Random Forest Models

Objective Body fluid mixtures are complex biological samples that frequently occur in crime scenes,and can provide important clues for criminal case analysis.DNA methylation assay has been applied in the identification of human body fluids,and has exhibited excellent performance in predicting single-source body fluids.The present study aims to develop a methylation SNaPshot multiplex system for body fluid identification,and accurately predict the mixture samples.In addition,the value of DNA methylation in the prediction of body fluid mixtures was further explored.Methods In the present study,420 samples of body fluid mixtures and 250 samples of single body fluids were tested using an optimized multiplex methylation system.Each kind of body fluid sample presented the specific methylation profiles of the 10 markers.Results Significant differences in methylation levels were observed between the mixtures and single body fluids.For all kinds of mixtures,the Spearman’s correlation analysis revealed a significantly strong correlation between the methylation levels and component proportions(1:20,1:10,1:5,1:1,5:1,10:1 and 20:1).Two random forest classification models were trained for the prediction of mixture types and the prediction of the mixture proportion of 2 components,based on the methylation levels of 10 markers.For the mixture prediction,Model-1 presented outstanding prediction accuracy,which reached up to 99.3%in 427 training samples,and had a remarkable accuracy of 100%in 243 independent test samples.For the mixture proportion prediction,Model-2 demonstrated an excellent accuracy of 98.8%in 252 training samples,and 98.2%in 168 independent test samples.The total prediction accuracy reached 99.3%for body fluid mixtures and 98.6%for the mixture proportions.Conclusion These results indicate the excellent capability and powerful value of the multiplex methylation system in the identification of forensic body fluid mixtures.

Improvement of TLC Identification of Matrine in Jin Weng Zhi Li Granule

[Objectives] The aim of this study was to screen out the TLC conditions of matrine in Jin Weng Zhi Li Granule. [Methods]Referring to the method of Chinese Veterinary Pharmacopoeia,the composition,chromogenic agent and expansion conditions of the developer were optimized,and matrine was qualitatively identified by TLC. [Results] After optimizing TLC conditions of Jin Weng Zhi Li Granule,that is,the thin layer plate was pre-equilibrated in the expansion cylinder for 5 min after spotting,the separation effect of TLC of test samples was favorable. The spot color was clear,reproducibility was good,precision was high,specificity was better. [Conclusions] The method was of good feasibility,reproducibility and specificity,and could be used for qualitative detection of matrine in Jin Weng Zhi Li Granule dampnessheat and diarrhea disease.

Identification of variety of rice and determination of content of each rice in mixtures of two rices by nonlinear chemical analysis

Fingerprints of two varieties of rice and their mixtures were investigated by a nonlinear chemical reaction system consisting of rice components,sodium bromate,manganese sulfate,sulfuric acid and acetone.The variety of rice was identified by the visual characteristic of fingerprint and system similarity pattern recognition,and the content of each variety of rice in the mixture was determined by the quantitative information of fingerprint.The results show that nonlinear chemical analysis may be used to exactly identify the variety of pure rice and to accurately determine the content of each variety of rice in the mixture,indicating the method is simple and convenient.

Identification of Gardenoside and Sarsasapogenin from Qingwen Baidu Granules by TLC

[ Objective ] We aimed to establish the identification method of gardenoside and sarsasapogenin in Qingwen baidu granules. [ Method] With ethyl ace- tate-acetone-formic acid-water （10：7：2：0.5） as the developer and 10% sulfuric acid ethanol solution as the chromogenic reagent, the samples were heated at 100 ~C until the spots were clearly visible, and the existence of gardenoside was checked under natural light. With toluene-acetone（9：l ） as the developer and 5% vanillin sulfuric acid solution as the chromogenic reagent, the samples were heated at 105 ~C until the spots were clearly visible, and the existence of sarsasapogenin was checked under natural light. [Result] Qingwen baidu granules had the same spots with gardenoside and sarsasapogenin at the same Rfvalue under natural light. [ Conclusion] A TLC method detecting gardenoside and sarsasapogenin in Qingwen baidu granules was established, which had good specificity and repeatability, suitable for rapid detection of gardenoside and sarsasapogenin.

Identification of Coptis chinensis and Forsythia sus-pensa from Qingwen Baidu Granules by TLC

[ Objective] The paper was to establish the identification method of Coptis chinensis and Forsythia suspensa in Qingwen baidu granules. [ Method ] With benzene-ethyl acetate-methanol-isopropanol-cancentrated ammonium liquid （ 12：6：3：3：1 ） as the developer, the samples were outspread in the cylinder with sat- urated ammonia steam by thin layer chromatography （TLC）, and the existence of C. chinensis and berberine hydrochloride was checked under UV lamp. With tri- chloromethane-methanol （5：1） as the developer and 10% sulfuric acid ethanol solution as the chromogenic reagent, the samples were heated at 105 ℃ for 5 min to check the existence of F. suspense under natural light. [Result] Qingwen baidu granules had the same spots with C. chinensis control and berberine hydrochloride at the same Rf value under 365 nm UV lamp; Qingweu baidu granules had the same spots with F. suspensa control at the same Rfvalue under natural light. [ Condusion] A TLC method detecting C. chinensis and F. suspensa in Qingwen baidu granules was established, which had good specificity and repeatability, suitable for rapid detection of C. chinensis and F. suspensa. It could be well applied to control the quality of Qingwen baidu granule.

TLC Identification of Schisandra Chinensis Liquid Extract and Antler Essence in Qianglinaoqingsu Tablets

[Objectives]To study the quality standard of Chinese drug in compound Qianglinaogingsu Tablets(Fructus Schisandrae Chinensis and Coru Cervi Pantotrichum).[Methods]The thin layer chromatography(TLC)differentiation method was established for Fructus Schisandrae Chinensis and Cornu Cervi Pantotrichum.[Results]TLC spots developed were fairly clear,and the blank test showed no interference.[Conclusions]The method is fast,simple and can be used for quality control of Qianglinaoqingsu Tablets.

TLC Identification of Laggerae Alatae Herba and Extraction Process of Chlorogenic Acid

[Objectives]Taking chlorogenic acid as index component,TLC and content determination method of Laggerae Alatae Herba were established.[Methods]TLC identification used silica gel G thin-layer plate,and butyl acetate∶formic acid∶water(7∶2.5∶2.5)was taken as developing agent,and it was inspected under ultraviolet lamp(365 nm).The content was determined by chromatographic column Inertsil ODS-3 C_(18)(4.60 mm×250 mm,5μm).Mobile phase:methanol-0.1%phosphoric acid(28∶72);detection wavelength:329 nm;flow speed:1.0 mL/min;column temperature:25℃;injection volume:10μL.[Results]Chlorogenic acid can be detected by TLC,with clear spots and good specificity.When injection volume of chlorogenic acid was between 0.099 and 0.990μg(R^(2)=0.9999),there was good linear relationship.In low,medium and high sample adding groups of Laggerae Alatae Herba,average recovery rates of chlorogenic acids were 98.80%(RSD=2.09%),98.24%(RSD=1.96%)and 99.65%(RSD=2.15%).[Conclusions]The method could effectively identify medicinal material Laggerae Alatae Herba,and accurately measure the content of chlorogenic acid in Laggerae Alatae Herba,thereby providing a scientific basis for developing and using medicinal resources of Laggerae Alatae Herba.

STATISTICAL FEATURE OF PITCH FREQUENCY DISTRIBUTIONS FOR OBUST SPEAKER IDENTIFICATION

This letter proposes an effective and robust speech feature extraction method based on statistical analysis of Pitch Frequency Distributions (PFD) for speaker identification. Compared with the conventional cepstrum, PFD is relatively insensitive to Additive White Gaussian Noise (AWGN), but it does not show good performance for speaker identification, even if under clean environments. To compensate this shortcoming, PFD and conventional cepstrum are combined to make the ultimate decision, instead of simply taking one kind of features into account.Experimental results indicate that the hybrid approach can give outstanding improvement for text-independent speaker identification under noisy environments corrupted by AWGN.

MODELING INTRAPERSONAL DEFORMATION SUBSPACE USING GMM FOR PALMPRINT IDENTIFICATION

In this paper, an efficient model of palmprint identification is presented based on subspace density estimation using Gaussian Mixture Model (GMM). While a few training samples are available for each person, we use intrapersonal palmprint deformations to train the global GMM instead of modeling GMMs for every class. To reduce the dimension of such variations while preserving density function of sample space, Principle Component Analysis (PCA) is used to find the principle differences and form the Intrapersonal Deformation Subspace (IDS). After training GMM using Expectation Maximization (EM) algorithm in IDS, a maximum likelihood strategy is carried out to identify a person. Experimental results demonstrate the advantage of our method compared with traditional PCA method and single Gaussian strategy.

PEONIES: Comparative Study by Anatomy and TLC of Three Traditional Chinese Medicinal Plants

Anatomical and TLC study of three Chinese peonies were conducted to make a comparative analysis. Peonies (Paeonia suffruticosa (tree peony), Paeonia lactiflora (Chinese peony) and Paeonia veitchii (Chinese peony)) are traditionally used on the Qinghai-Tibet Plateau in China. Recent studies have shown that the peonies have different pharmacological activities and clinical applications. To distinguish these three species of peonies and ensure the safety and effectiveness in their use, the microscopic characteristics and chromatographic profile of their roots and the corresponding powder were studied. Plant materials sectioned and stained and the raw powder were studied with an optical microscope using standard techniques in microscopy. The results of microscopic features and TLC were described and illustrated. The three species have different microscopic characteristics and TLC profiles, which allow us to distinguish them. In fact, with the help of features semi-quantitative and qualitative, an identification key was developed in our work and illustrated with photos and a table. The aim of our work was to show that the optical microscopy and related techniques provide a achievable practicality, which can be applied without ambiguity to the authentication of species peonies.

Identification of Tibetan and Qiang Edible and Medicinal Herbs Cardamine tangutorum and Cardamine macrophylla

[Objectives]To study the original plants,characters,tissue structure,powder characteristics and thin-layer chromatography(TLC)characteristics of Cardamine tangutorum and Cardamine macrophylla as Tibetan and Qiang edible and medicinal herbs,and to provide the basis for the identification of C.tangutorum and C.macrophylla.[Methods]The identification of C.macrophyll and C.tangutorum was carried out by original plant identification,character identification,microscopic identification and TLC identification.[Results]C.tangutorum and C.macrophylla can be distinguished according to the shape of rhizome and stem,the difference of stem leaves and leaflets,and the difference of flower color;there is no obvious difference between the characteristics of the shape and the powder;the thin layer chromatography shows that in the thin layer chromatography of C.tangutorum and C.macrophylla,spots with the same color are shown on the corresponding positions of the ground part and the reference substance quercetin;the underground part and the position corresponding to the reference substanceβ-sitosterol all show the same color spots.[Conclusions]This study provides a reference for the identification of C.tangutorum and C.macrophylla.

TLC-SERS同时检测降压类保健食品中五种沙坦类违禁添加成分

由于人们不健康的饮食结构和生活作息习惯以及人口老龄化等因素,高血压等慢性病发病率逐渐增高,降压类保健食品逐渐受到人们青睐。但是市场中存在不良商家为了提高保健食品的功效,向保健食品中非法添加降压药,尤其是沙坦类降压药的现象。建立了一种薄层色谱层析技术(TLC)与表面增强拉曼光谱(SERS)联用方法,对降压类保健食品中五种可能添加的沙坦类违禁成分(奥美沙坦酯、厄贝沙坦、氯沙坦钾、替米沙坦、缬沙坦)进行同步检测。对五种药物的SERS检测最佳条件进行探究,并通过比较不同成分及配比的TLC展开剂对于五种药物的分离效果,经过大量配方试验后成功得到环己烷-乙酸乙酯-甲醇-冰醋酸=53∶35∶12∶0.25(v/v/v/v)的分离体系,对五种药物具有良好的分离效果。确定实验条件后利用TLC分离技术对样品溶液分别进行初步分离,在薄层板上不同比移值的斑点原位处滴加金胶进行SERS检测,对样品溶液在斑点原位处的SERS光谱进行采集、比较,确定。研究结果表明,五种沙坦类违禁添加成分可通过TLC明确分离,且其SERS光谱特征峰一致、重复性良好,根据各自的特征峰可快速定性分析,检出限在0.1~1 mg·kg^(-1)之间。研究建立的TLC-SERS方法简单、快速,能够为保健食品中违禁添加成分的现场初步快速筛查提供一定参考。

小蓟TLC鉴别方法优化及小蓟炭“炒炭存性”内在表征研究

目的优化小蓟TLC鉴别方法并研究小蓟炭“炒炭存性”内在表征。方法对2020年版《中国药典》中“小蓟”项下TLC展开方法中的薄层板和展开剂进行改进,建立小蓟炭的TLC鉴别方法和UPLC指纹图谱,并测定蒙花苷、金合欢素的含量。结果小蓟TLC鉴别建议使用硅胶G板,展开剂建议改为甲苯-丙酮-甲酸-甲醇(6∶3∶0.5∶2.5)。小蓟及不同炒制程度小蓟炭的蒙花苷、金合欢素含量变化与TLC鉴别结果一致。结论与2020年版《中国药典》相比,改进的小蓟TLC鉴别方法较原方法成本低,所用展开剂毒性小。建立的小蓟炭“炒炭存性”的内在表征结合外观性状可用于解决市售小蓟炭的质量问题。

Identification of Tibetan Medical Material Dracocephalum tanguticum Maxim.

[Objectives]To explore morphological identification,macroscopical identification,microscopic identification,thin layer chromatography(TLC)identification of Tibetan medical material Dracocephalum tanguticum Maxim.,and provide experimental data for its identification and application.[Methods]The Tibetan medical material was identified by means of original plant,characters,powder,paraffin section and thin layer chromatography(TLC).[Results]Tibetan medical material D.tanguticum Maxim.was obviously distinguished in character identification and microscopic identification,and the TLC method was simple and feasible.[Conclusions]The results will provide the source work foundation for the formulation of the quality standard of Sichuan Province(draft)for Tibetan medicinal material"D.tanguticum Maxim."and the development of pharmaceutical preparations for medical institutions.

淫芎颗粒质量标准研究

目的建立淫芎颗粒的质量标准。方法采用薄层色谱法对制剂中川芎、白芍进行定性鉴别;采用高效液相色谱法同时测定制剂中芍药苷、甘草苷、阿魏酸、柚皮苷、橙皮苷、淫羊藿苷、甘草酸铵的含量,色谱柱为Agilent Zorbax SB-C_(18)柱(250 mm×4.6 mm,5µm),流动相为乙腈-0.3%磷酸溶液(梯度洗脱),流速为1.0 mL/min,检测波长为230 nm,柱温为30℃,进样量为10µL。结果薄层色谱斑点清晰,分离度良好,且阴性对照无干扰。芍药苷、甘草苷、阿魏酸、柚皮苷、橙皮苷、淫羊藿苷、甘草酸铵的质量浓度分别在8.886~222.156µg/mL、3.935~98.385µg/mL、3.805~95.118µg/mL、4.457~111.416µg/mL、4.574~114.360µg/mL、3.512~87.794µg/mL、4.274~106.850µg/mL范围内与各自峰面积线性关系良好(r≥0.9991,n=7);精密度、稳定性、重复性试验结果的RSD均小于3.0%;平均加样回收率分别为99.68%,99.19%,100.31%,100.70%,99.74%,98.77%,98.99%,RSD分别为1.57%,1.89%,2.77%,1.52%,1.58%,1.27%,2.18%(n=9);平均含量分别为5.743,0.547,0.472,1.426,1.376,1.982,1.480µg/mL(n=2)。结论该方法操作方便、结果准确、专属性和重复性好,可用于淫芎颗粒的质量控制。

瑶药刺瓜生药学研究

目的:对刺瓜进行生药学研究。方法:采用基源鉴别、药材性状鉴别、显微鉴别、薄层色谱法对刺瓜特征进行鉴别研究。参照《中华人民共和国药典》2015版四部通则中的方法对13个批次的刺瓜样品进行水分、总灰分、酸不溶性灰分及浸出物等项目进行检查。结果:对刺瓜原植物形态进行了详细描述,明确了刺瓜根、茎、叶的组织结构特征及粉末鉴别特征,初步建立了刺瓜薄层色谱鉴别方法。对刺瓜几个常见项目设定了检出限,水分不得超过10.0%,总灰分不得超过13.0%,酸不溶性灰分不得超过1.0%,浸出物不得少于19.0%。结论:刺瓜的性状、显微特征明显,薄层色谱分离效果好,重现性佳,可为刺瓜进一步开发利用和质量标准的建立提供参考。

基于层次分解、主成分分析和高斯混合模型的火成岩岩性识别——以惠州26洼古潜山为例

火成岩油气成藏规律复杂,受到火山运动、强构造运动以及风化剥蚀等叠加影响,火成岩的化学成分和结构构造复杂多样,非均质性极强,采用常规岩性识别方法难以一次性将所有岩性准确识别。借鉴层次分解思路,以惠州26洼古潜山为例,提出了一种火成岩岩性测井识别分类方法:综合考虑火成岩地质分类原则和测井响应特征来确定岩性识别层级,基于这种层次性的分类原则,在每一层次定量优选岩性识别敏感参数,建立研究区岩性识别优选层级;在明确岩性识别优选层级的基础上,逐级逐次使用主成分分析(PCA)和高斯混合模型(GMM)对岩性进行判别并确定其计算函数,建立分级优选岩性识别模型,最终达到整体岩性区分的目的。研究结果表明,研究区辉绿岩和闪长岩识别正确率分别为87.31%和84.32%,未分级未优选辉绿岩和闪长岩识别正确率为60.45%和54.88%,分级未优选其岩性识别正确率为69.61%和67.04%,有效提高了研究区的复杂岩性识别精度。该方法的提出对提高火成岩岩性识别精度提供了一种思路,也为研究区古潜山火成岩岩性精确识别提供了参考依据。