scholarly journals The Classification of betel leaves (Piper betle) from 15 ethnics in eastern Indonesia based on phytochemicals fingerprint analysis

2019 ◽  
Vol 21 (1) ◽  
Author(s):  
Dimas Andrianto ◽  
Husnawati ◽  
Suci Hermita ◽  
Sari Haryanti
Keyword(s):  
High Performance ◽  
Principal Component ◽  
Piper Betle ◽  
Fingerprint Analysis ◽  
Hplc Fingerprint ◽  
Eastern Indonesia ◽  
West Papua ◽  
Phytochemical Profiles ◽  
Central Sulawesi

Abstract. Andrianto D, Husnawati, Hermita S, Haryanti S. 2020. Classification of betel leaves (Piper betle) from 15 ethnics in eastern Indonesia based on phytochemicals fingerprint analysis. Biodiversitas 21: 252-257. Betel (Piper betle Linn), also called Golden Heart of Nature, is often used as traditional medicine. Nonetheless, betel plants originated from different places contains different phytochemicals profile, resulting in different utilization across ethnics. The research aimed to classify betel leaves from eastern Indonesia origins based on phytochemical profiles. In this study, the phytochemical profiles of 69 betel leave samples from 15 ethnics in eastern Indonesia were obtained using High-Performance Liquid Chromatography (HPLC) fingerprint analysis. This data was then used to classify the betel leaves samples using Principal Component Analysis (PCA). The results of the analysis show that the betel leaves from Eastern Indonesia can be divided into three clusters. Cluster 1 consisted of betel leaves originated from two ethnics, namely Komoro and Greri, from Papua, while Cluster 2 consisted of those originated of two ethnics, namely Sumber Baba and Demta, both were also from Papua. Cluster 3 consisted of betel leaves originated 11 ethnics, namely Asilulu (Maluku), Balesang (Central Sulawesi), Bungku (Central Sulawesi), Mulong Kuni (Central Sulawesi), Saluan (Central Sulawesi), Tialo (Central Sulawesi), Tolage (Central Sulawesi), Gebe (North Maluku), Makian (North Maluku), Mey Brat (West Papua) and Waigeo (West Papua). The location of P. betle plantation in this research accounts for clusterization of samples, Papua island give the highest biodiversity because we can find all the three cluster in Papua island.

scholarly journals A Strategy for Quality Control of Vespa magnifica (Smith) Venom Based on HPLC Fingerprint Analysis and Multi-Component Separation Combined with Quantitative Analysis

Molecules ◽  
2019 ◽  
Vol 24 (16) ◽  
pp. 2920 ◽  
Author(s):  
Si-Tong Zhou ◽  
Kai Luan ◽  
Lian-Li Ni ◽  
Ying Wang ◽  
Shi-Meng Yuan ◽  
...  
Keyword(s):  
Quantitative Analysis ◽  
High Performance ◽  
Principal Component ◽  
Good Precision ◽  
Fingerprint Analysis ◽  
Wasp Venom ◽  
Chemical Fingerprint ◽  
Hplc Fingerprint ◽  
Relative Standard

As a folk medicine of the Jingpo minority in Yunnan province, the venom of Vespa magnifica has been commonly used for the treatment of rheumatoid arthritis. Quality standardization of the wasp venom is a necessary step for its pharmaceutical research and development. To control the quality of the wasp venom, a method based on high-performance liquid chromatography (HPLC) was developed for chemical fingerprint analysis. In the chromatographic fingerprinting, chemometrics procedures, including similarity analysis (SA), hierarchical clustering analysis (HCA), and principal component analysis (PCA), were applied to classify 134 batches (S1–S134) of wasp venom from different origins. The HPLC fingerprint method displayed good precision (Relative standard deviation, RSD < 0.27%), stability (in 16 h, RSD < 0.34%), and repeatability (RSD < 1.00%). Simultaneously, four compounds (VMS1, VMS2, VMS3, and VMS4) in the wasp venom were purified and identified. VMS1 was 5-hydroxytryptamine, and the other compounds were three peptides that were sequenced as follows: Gly–Arg–Pro–Hyp–Gly–Phe–Ser–Pro–Phe–Arg–Ile–Asp–NH2 (VMS2), Ile–Asn–Leu–Lys–Ala–Ile–Ala–Ala–Leu–Ala–Lys–Lys–Leu–Leu–NH2 (VMS3), and Phe–Leu–Pro–Ile–Ile–Gly–Lys–Leu–Leu–Ser–Gly–Leu–Leu–NH2 (VMS4). The quantifications for these components were 110.2 mg/g, 26.9 mg/g, 216.3 mg/g, and 58.0 mg/g, respectively. The results of this work indicated that the combination of the chemical fingerprint and quantitative analysis offers a reasonable way to evaluate the quality of wasp venom.

scholarly journals HPLC Fingerprint Analysis Combined with Chemometrics for Authentication of Kaempferia galanga from Related Species

2018 ◽  
Vol 16 (3) ◽  
pp. 308 ◽  
Author(s):  
Cahya Septyanti ◽  
Irmanida Batubara ◽  
Mohamad Rafi
Keyword(s):  
Principal Component Analysis ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
Discriminant Analysis ◽  
Related Species ◽  
High Performance ◽  
Principal Component ◽  
Fingerprint Analysis ◽  
Hplc Fingerprint ◽  
Kaempferia Galanga

Fingerprint analysis using high performance liquid chromatography (HPLC) has been developed for authentication of Kaempferia galanga from related species, such as Kaempferia pandurata and K. rotunda. By comparing the fingerprint chromatograms of K. galanga, K. pandurata and K. rotunda, we could identify K. galanga samples and detect adulteration of K. galanga from K. pandurata and K. rotunda by using their marker peaks. We also combined HPLC fingerprint with chemometrics for discrimination the three species and also for authentication of K. galanga. All the three species and K. galanga adulterated with K. pandurata and K. rotunda were discriminated successfully by using principal component analysis (PCA) and discriminant analysis (DA). This result indicates that HPLC fingerprint analysis in combination with PCA (PC1 = 30.06% and PC2 = 34.74%) and DA (DF1 = 94.59% and DF2 = 3.32%) could be used for authentication of K. galanga samples from the related species.

scholarly journals Discrimination of the Geographical Origin of the Lateral Roots of Aconitum carmichaelii Using the Fingerprint, Multicomponent Quantification, and Chemometric Methods

Molecules ◽  
2019 ◽  
Vol 24 (22) ◽  
pp. 4124 ◽  
Author(s):  
Lu-Lin Miao ◽  
Qin-Mei Zhou ◽  
Cheng Peng ◽  
Chun-Wang Meng ◽  
Xiao-Ya Wang ◽  
...  
Keyword(s):  
High Performance ◽  
Geographical Origin ◽  
Lateral Roots ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Similarity Analysis ◽  
Diterpenoid Alkaloids ◽  
Linear Discriminant ◽  
Hplc Fingerprint ◽  
Aconitum Carmichaelii

Fuzi is a well-known traditional Chinese medicine developed from the lateral roots of Aconitum carmichaelii Debx. It is rich in alkaloids that display a wide variety of bioactivities, and it has a strong cardiotoxicity and neurotoxicity. In order to discriminate the geographical origin and evaluate the quality of this medicine, a method based on high-performance liquid chromatography (HPLC) was developed for multicomponent quantification and chemical fingerprint analysis. The measured results of 32 batches of Fuzi from three different regions were evaluated by chemometric analysis, including similarity analysis (SA), hierarchical cluster analysis (HCA), principal component analysis (PCA), and linear discriminant analysis (LDA). The content of six representative alkaloids of Fuzi (benzoylmesaconine, benzoylhypaconine, benzoylaconine, mesaconitine, hypaconitine, and aconitine) were varied by geographical origin, and the content ratios of the benzoylmesaconine/mesaconitine and diester-type/monoester-type diterpenoid alkaloids may be potential traits for classifying the geographical origin of the medicine. In the HPLC fingerprint similarity analysis, the Fuzi from Jiangyou, Sichuan, was distinguished from the Fuzi from Butuo, Sichuan, and the Fuzi from Yunnan. Based on the HCA and PCA analyses of the content of the six representative alkaloids, all of the batches were classified into two categories, which were closely related to the plants’ geographical origins. The Fuzi samples from Jiangyou were placed into one category, while the Fuzi samples from Butuo and Yunnan were put into another category. The LDA analysis provided an efficient and satisfactory prediction model for differentiating the Fuzi samples from the above-mentioned three geographical origins. Thus, the content of the six representative alkaloids and the fingerprint similarity values were useful markers for differentiating the geographical origin of the Fuzi samples.

scholarly journals Metabolomics-based authentication of wines according to grape variety

2019 ◽  
Vol 37 (No. 4) ◽  
pp. 239-245 ◽  
Author(s):  
Leos Uttl ◽  
Kamila Hurkova ◽  
Vladimir Kocourek ◽  
Jana Pulkrabova ◽  
Monika Tomaniova ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Statistical Models ◽  
High Performance ◽  
Geographical Origin ◽  
Principal Component ◽  
White Wine ◽  
Tandem Mass ◽  
Grape Variety ◽  
Varietal Identification

In 2008, the European Commission highlighted the risk of wine mislabelling regarding the geographical origin and varietal identification. While analytical methods for the identification of wine by geographical origin exist, a reliable strategy for authentication of wine variety is still missing. Here, we investigate the suitability of the metabolomic fingerprinting of ethyl acetate wine extracts, using ultra-high-performance liquid chromatography coupled to high-resolution tandem mass spectrometry. In total, 43 white wine samples (three varieties) were analysed within our study. The generated data were processed by principal component analysis and then by partial least squares discriminant analysis. The resulting statistical models were validated and assessed according to their R2 (cum) and Q2 (cum) parameters. The most promising models were based on positive ionisation data, enabling successful classification of 92% of wine samples.

scholarly journals Classification of Andrographis paniculata extracts by HPLC fingerprint analysis and chemometrics

2019 ◽  
Author(s):  
Mohamad Rafi ◽  
Anggun Fenika Devi ◽  
Utami Dyah Syafitri ◽  
Rudi Heryanto ◽  
Irma Herawati Suparto ◽  
...  
Keyword(s):  
Solvent Extraction ◽  
Chemical Compound ◽  
Control Method ◽  
Water Extract ◽  
Andrographis Paniculata ◽  
Inhibition Activity ◽  
Solvent Concentration ◽  
Fingerprint Analysis ◽  
Hplc Fingerprint

Abstract Objective: Andrographis paniculata is widely used in Indonesia traditional medicines called jamu as an antidiabetic. The concentration of some chemical compound will be related to the level of therapeutic effect of A. paniculata and the solvent concentration for extraction affects the number of extracted chemical compound. Quality control method is needed to ensure the consistency level of chemical compound in A. paniculata. High-performance liquid chromatography fingerprint analysis combined with chemometrics was used for evaluation of sambiloto extract according to different solvent extraction. In addition, determination of the andrographolide (major bioactive compound in A. paniculata) and α-glucosidase inhibition activity were also performed. Result: Fingerprint chromatogram of A. paniculata extract with different solvent concentration have similar pattern with several typical peaks appear on each extract, only differ in the peak area and intensity value. Classification of each A. paniculata extract was done by using HPLC fingerprint and principal component analysis. Based on this classification, each extract is grouped in to their respective solvent extraction. The highest andrographolide content and α-glucosidase inhibition activity were in 50% ethanol extract and the lowest were in the water extract. HPLC fingerprint analysis could be used for identification of A. paniculata extract based on solvent extraction.

scholarly journals Identification of African Swine Fever Virus Inhibitors through High Performance Virtual Screening Using Machine Learning

2021 ◽  
Vol 22 (24) ◽  
pp. 13414
Author(s):  
Jiwon Choi ◽  
Dongseob Tark ◽  
Yun-Sook Lim ◽  
Soon B. Hwang
Keyword(s):  
Machine Learning ◽  
High Performance ◽  
African Swine Fever Virus ◽  
Antiviral Drug ◽  
African Swine Fever ◽  
Principal Component ◽  
Antiviral Drugs ◽  
Fever Virus ◽  
Scoring Functions

African swine fever virus (ASFV) is a highly contagious virus that causes severe hemorrhagic viral disease resulting in high mortality in domestic and wild pigs, until few antiviral agents can inhibit ASFV infections. Thus, new anti-ASFV drugs need to be urgently identified. Recently, we identified pentagastrin as a potential antiviral drug against ASFVs using molecular docking and machine learning models. However, the scoring functions are easily influenced by properties of protein pockets, resulting in a scoring bias. Here, we employed the 5′-P binding pocket of AsfvPolX as a potential binding site to identify antiviral drugs and classified 13 AsfvPolX structures into three classes based on pocket parameters calculated by the SiteMap module. We then applied principal component analysis to eliminate this scoring bias, which was effective in making the SP Glide score more balanced between 13 AsfvPolX structures in the dataset. As a result, we identified cangrelor and fostamatinib as potential antiviral drugs against ASFVs. Furthermore, the classification of the pocket properties of AsfvPolX protein can provide an alternative approach to identify novel antiviral drugs by optimizing the scoring function of the docking programs. Here, we report a machine learning-based novel approach to generate high binding affinity compounds that are individually matched to the available classification of the pocket properties of AsfvPolX protein.

Investigation on the Characteristic Components of Dahuang Zhechong Pill Based on High-Performance Liquid Chromatography (HPLC) Fingerprint

2019 ◽  
Vol 14 (12) ◽  
pp. 1934578X1988807 ◽  
Author(s):  
Li Wu ◽  
Zi-Hui Ni ◽  
Yun-Cong Xu ◽  
Xi-Qiong Zhang ◽  
Sha-Li Du ◽  
...  
Keyword(s):  
High Performance ◽  
Principal Component ◽  
Inhibitory Effect ◽  
Hplc Method ◽  
Cytotoxicity Test ◽  
Active Components ◽  
Hplc Fingerprint ◽  
Hepatocarcinoma Cells ◽  
Aloe Emodin ◽  
Common Components

Dahuang Zhechong Pill (DHZCP) has been widely used in the treatment of hepatocarcinoma in China. The aim of our study was to identify the characteristic components of DHZCP. First, HPLC fingerprint of DHZCP was established to analyze the common components of 14 batches of DHZCP samples, which were purchased from different manufacturers. The results of HPLC fingerprint detected 164 peaks in these 14 batches of DHZCP. Through similarity analysis, cluster analysis, and principal component analysis, we identified 20 common components upon which to conduct quantitative analysis conducted by an HPLC method. After that, a cytotoxicity test was carried out to screen the active components in DHZCP. The results showed that hypoxanthine, rhein, emodin, aloe emodin, and wogonin are the active components of DHZCP for the treatment of hepatocarcinoma, as they have significant inhibitory effect against the activity of drug-resistant hepatocarcinoma cells (SMMC-7721/DOX) than others.

Development of HPLC Fingerprint Analysis of Traditional Diabetes Herbal Jamu Diabetes Plant Materials

2014 ◽  
Vol 68 (1) ◽  
Author(s):  
Gholamhossein Shams ◽  
Hassan Fahmi Ismail ◽  
Teh Liam Chee ◽  
M Abbas Ali ◽  
Fadzilah Adibah Abdul Majid ◽  
...  
Keyword(s):  
High Performance ◽  
Herbal Medicines ◽  
Fingerprint Analysis ◽  
Chromatographic Fingerprint ◽  
Plant Materials ◽  
Hplc Fingerprint ◽  
Herbal Formulation ◽  
Marker Compounds ◽  
Herbal Formulations

Selective and efficient analytical methods are required not only for quality assurance but also for authentication of herbal formulations. In the present study, high-performance liquid chromatography (HPLC) detection was developed for chromatographic fingerprint analysis of the extract from grounded plant materials of Jamu Diabetes (JD), a well known herbal formulation in Malaysia. The bioactive markers rosmarinic acid, curcumin, cinnamaldehyde and andrographolide were identified from the methanol/water (80:20) extract of JD materials. The data presented in this study showed that the developed method is simple, sensitive and specific for simultaneous determination of the indicated marker compounds either qualitatively or quantitatively, and may be used as a fingerprint profile for the standardization of extractives or herbal medicines from herbal formulation JD materials.

scholarly journals Phytochemical Profiling and Fingerprint Analysis of Chinese Jujube (Ziziphus jujuba Mill.) Leaves of 66 Cultivars from Xinjiang Province

Molecules ◽  
2019 ◽  
Vol 24 (24) ◽  
pp. 4528 ◽  
Author(s):  
Lijun Song ◽  
Jie Zheng ◽  
Li Zhang ◽  
Shijuan Yan ◽  
Wenjie Huang ◽  
...  
Keyword(s):  
High Performance ◽  
High Resolution Mass Spectrometry ◽  
Principal Component ◽  
Hierarchical Cluster ◽  
Dry Weight ◽  
Chinese Jujube ◽  
Uv Detector ◽  
Ziziphus Jujuba ◽  
The Difference ◽  
Phytochemical Profiles

Foliage of jujube (Ziziphus jujuba Mill.) as a byproduct of agriculture, is a traditional nutraceutical material in China. Previous studies have shown that it is a rich resource of polyphenols. However, information on its complete phenolic profile and the difference between cultivars is still limited. This study investigated and compared phytochemical profiles of leaves of 66 Chinese jujube cultivars. Forty-two compounds, including 22 flavonols, two flavanols, one flavanone, 13 derivatives of phenolic acids, three simple acids, and one unknown hexoside were identified/tentatively identified using high-performance liquid chromatography (HPLC) coupled with high-resolution mass spectrometry. Eight major flavonols were quantified by HPLC coupled with an ultraviolet (UV) detector. The contents of total flavonoids ranged from 2.6–25.1 mg/g dry weight (DW). Differences between cultivars were analyzed by hierarchical cluster analysis (HCA) and principal component analysis (PCA). This study presents a systematic study on the phenolic compounds in Chinese jujube leaves of different cultivars.

scholarly journals Quality Evaluation of Atractylodis Macrocephalae Rhizoma Based on Combinative Method of HPLC Fingerprint, Quantitative Analysis of Multi-Components and Chemical Pattern Recognition Analysis

Molecules ◽  
2021 ◽  
Vol 26 (23) ◽  
pp. 7124
Author(s):  
Cheng Zheng ◽  
Wenting Li ◽  
Yao Yao ◽  
Ying Zhou
Keyword(s):  
Pattern Recognition ◽  
High Performance ◽  
Quality Evaluation ◽  
Evaluation Method ◽  
Principal Component ◽  
Hplc Fingerprint ◽  
Atractylenolide I ◽  
Chemical Pattern ◽  
Pattern Recognition Analysis ◽  
Chemical Pattern Recognition

A method for the quality evaluation of Atractylodis Macrocephalae Rhizoma (AMR) based on high-performance liquid chromatography (HPLC) fingerprint, HPLC quantification, and chemical pattern recognition analysis was developed and validated. The fingerprint similarity of the 27 batches of AMR samples was 0.887–0.999, which indicates there was very limited variance between the batches. The 27 batches of samples were divided into two categories according to cluster analysis (CA) and principal component analysis (PCA). A total of six differential components of AMR were identified in the partial least-squares discriminant analysis (PLS-DA), among which atractylenolide I, II, III, and atractylone counted 0.003–0.045%, 0.006–0.023%, 0.001–0.058%, and 0.307–1.175%, respectively. The results indicate that the quality evaluation method could be used for quality control and authentication of AMR.

Sign in / Sign up

Export Citation Format

Share Document