The grey correlation-TOPSIS method was used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos, and the Fourier transform near-infrared(NIR) and mid-infrared(MIR) spectroscopy was applied to establish the identification model of origin herbs of Lonicerae Japonicae Flos by combining chemometrics and spectral fusion strategies. The content of neochlorogenic acid, chlorogenic acid, cryptochlorogenic acid, caffeic acid, secoxyloganin, isoquercitrin, isochlorogenic acid B, isochlorogenic acid A, and isochlorogenic acid C in six origin herbs of Lonicerae Japonicae Flos was determined by high-performance liquid chromatography(HPLC), and their quality was evaluated by the grey correlation-TOPSIS method. The Fourier transform NIR and MIR spectra of six origin herbs of Lonicerae Japonicae Flos(Lonicera japonica, L. macranthoides, L. hypoglauca, L. fulvotomentosa, L. confuse, and L. similis) were collected. At the same time, principal component analysis(PCA), support vector machine(SVM), and spectral data fusion technology were combined to determine the optimal identification method for the origin herbs of Lonicerae Japonicae Flos. There were differences in the quality of the origin herbs of Lonicerae Japonicae Flos. Specifically, there were significant differences between L. japonica and the other five origin herbs(P<0.01). The quality of L. similis was significantly different from that of L. fulvotomentosa, L. macranthoides, and L. hypoglauca(P=0.008, 0.027, 0.01), and there were also significant differences in the quality of L. hypoglauca and L. confuse(P=0.001). The PCA and SVM 2D models based on a single spectrum could not be used for the effective identification of the origin herbs of Lonicerae Japonicae Flos. The data fusion combined with the SVM model further improved the identification accuracy, and the identification accuracy of the mid-level data fusion reached 100%. Therefore, the grey correlation-TOPSIS method can be used to evaluate the quality of the origin herbs of Lonicerae Japonicae Flos. Based on the infrared spectral data fusion strategy and SVM chemometric model, it can accurately identify the origin herbs of Lonicerae Japonicae Flos, which can provide a new method for the origin identification of medicinal materials of Lonicerae Japonicae Flos.
Drugs, Chinese Herbal/chemistry* ; Flowers/chemistry* ; Quality Control ; Lonicera/chemistry* ; Chromatography, High Pressure Liquid/methods*

Lonicera Japonica Flos is the dried bud or nascent flower of Lonicera japonica(Caprifoliaceae). The plant suffers from various diseases and pests in the growth period and thus pesticides are often used. As a result, the resultant pesticide residues in Lonicera Japonica Flos have aroused great concern. This review summarized the investigation, detection methods, content analysis, and risk assessment of pesticide residues in Lonicera Japonica Flos since 1996, and compared the maximum residue limits among different countries and regions. The results showed that the pesticide residues were detected in Lonicera Japonica Flos from different production areas, and only some exceeded the limits. The residual pesticides have changed from organochlorines to new types such as tebuconazole and nitenpyram. The detection method has upgraded from chromatography to chromatography-mass spectrometry. Most pesticide residues will not cause health risks, except carbofuran. Pesticide residues limit the development of Lonicera Japonica Flos industry in China. In practice, we should improve the drug registration of Lonicera Japonica Flos, promote ecological prevention and control technology, and formulate and promote pesticide residue limit standard of Lonicera Japonica Flos.
Flowers/chemistry* ; Lonicera/chemistry* ; Mass Spectrometry ; Pesticide Residues/analysis* ; Pesticides/analysis*

This study aims to develop an HPLC-DAD method for simultaneous determination of 11 components(6 phenolic acids and 5 iridoids) in Lonicera japonica flowers(LjF) and leaves(LjL), and compare the content differences of LjF at different development stages, LjL at different maturity levels, and between LjF and LjL. One-way ANOVA, principal component analysis(PCA), and orthogonal partial least-squares discriminant analysis(OPLS-DA) were employed to compare the content of the 11 components. The content of total phenolic acids, total iridoid glycosides, and total 11 components in LjF showed an overall downward trend with the development of flowers. The content of total phenolic acids, total iridoid glycosides, and total 11 components in young leaves were higher than those in mature leaves. The results of PCA showed that the samples at different flowering stages had distinguishable differences in component content. The VIP value of OPLS-DA showed that isochlorogenic acid A, chlorogenic acid, and secologanic acid were the main differential components of LjF at different development stages or LjL with different maturity levels. LjF and LjL have certain similarities in chemical composition while significant differences in component content. The content of total phenolic acids in young leaves was significantly higher than that in LjF at various development stages. The content of total iridoid glycosides in young leaves was similar to that in LjF before white flower bud stage. The total content of 11 components in young leaves was significantly higher than that in LjF at green flower bud stage, before and during completely white flower bud stage. LjL have great potential for development. Follow-up research on the pharmacodynamic equivalence of LjF and LjL(especially young leaves) should be carried out to speed up the development and application of LjL.
Chromatography, High Pressure Liquid ; Flowers/chemistry* ; Iridoid Glycosides/analysis* ; Lonicera/chemistry* ; Plant Leaves/chemistry*

Lonicerae Japonicae Flos, as common Chinese medicine, has been used for thousands of years in the treatment of inflammation and infectious diseases with definite efficacies. The complex composition of Lonicerae Japonicae Flos results in its extensive pharmacological effects, so the assessment of its quality by only a few index components is not comprehensive. Guided by the quality marker(Q-marker), the present study comprehensively analyzed and predicted the quality connotation of Lonicerae Japonicae Flos based on the chemical composition and component transfer, the phylogenetic relationship, chemical composition effectiveness, measurability, and specificity. Chlorogenic acid, isochlorogenic acids A, B, and C, luteoloside, rutin, sweroside, and secoxyloganin were predicted as candidate Q-markers of Lonicerae Japonicae Flos.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/chemistry* ; Flowers/chemistry* ; Lonicera/chemistry* ; Phylogeny ; Quality Control

The application of traditional Chinese medicine(TCM) formula granules in clinical practice is gradually extensive. However, TCM formula granules is still lacking rapid and simple quality control standards. In this study, allele-specific PCR and enzyme-linked immunoassay(ELISA) was used for rapid detection of the quality of Lonicerae Japonicae Flos formula granules. The authenticity of Lonicerae Japonicae Flos formula granules was identified by allele-specific PCR and index component was detected by ELISA. Thus, it lays a foundation for the establishment of rapid quality detection standard for Lonicerae Japonicae Flos formula granules, and also provides reference for other studies on the quality standard of traditional Chinese medicine formula granules.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal/analysis* ; Enzyme-Linked Immunosorbent Assay ; Lonicera/chemistry* ; Medicine, Chinese Traditional ; Polymerase Chain Reaction ; Quality Control

Molecular biology is a new subject that clarifies the phenomena and nature of life at the molecular level. Its development provides new biotechnology and methods for the study of traditional pharmacognosy. The formation of molecular biology has brought the development of pharmacognosy into a new era of gene research. Lonicerae Japonicae Flos is a classical Chinese medicine. Many scholars of home and abroad have carried out relevant studies on its molecular biology on the basis of the in-depth study with traditional methods, and have achieved certain results. In order to provide references on the method, technical for promoting the modernization of Lonicerae Japonicae Flos, and the development, protection, and utilization of other traditional Chinese medicine resources. This article summarized the application status of molecular biology methods and techniques on the identification, biosynthesis of active constituents, and molecular mechanism of secondary metabolite under stress conditions of Lonicerae Japonicae Flos in recent years. In hybridization technology of tag(RFLP), molecular markers based on PCR(RAPD, AFLP, SSR and ISSR), based on DNA sequence analysis of SNP and DNA barcode for the variety identification, diagnosis, identification of Lonicerae Japonicae Flos, and so forth in detail. At the same time, it is proposed that multi-omics technology can be used to build systems biology technology and platforms, and establish related models of secondary metabolite biosynthesis, so as to deepen acknowledge the molecular mechanism of the active component biosynthesis of Lonicerae Japonicae Flos and the accumulation of metabolites, life activities of other medicinal plants under adverse environment, then to regulate them.
Amplified Fragment Length Polymorphism Analysis ; Chromatography, High Pressure Liquid ; DNA Barcoding, Taxonomic ; Drugs, Chinese Herbal/pharmacology* ; Lonicera/chemistry* ; Medicine, Chinese Traditional ; Microsatellite Repeats ; Plants, Medicinal/chemistry* ; Polymorphism, Restriction Fragment Length ; Polymorphism, Single Nucleotide ; Random Amplified Polymorphic DNA Technique ; Secondary Metabolism

The flower buds of Lonicera macranthoides (Shan Yin-Hua), represent an important traditional Chinese medicine and food ingredient. A phytochemical investigation of the 70% EtOH extract of the flower buds of L. macranthoides resulted in the isolation of 12 triterpenoids (1-12), including two new ursane-type nortriterpenes, 2α, 24-dihydroxy-23-nor-ursolic acid (1) and 2α, 4α-dihydroxy-23-nor-ursolic acid (2). Their structures were established by multiple spectroscopic methods and comparison with literature data. All isolated compounds were evaluated for their anti-inflammatory effects in LPS-activated RAW264.7 cells. Compounds 1 and 2 exhibited inhibitory effects on iNOS at the concentration of 30 μmol·L.
Animals ; Anti-Inflammatory Agents ; chemistry ; pharmacology ; Drugs, Chinese Herbal ; chemistry ; Enzyme Inhibitors ; chemistry ; pharmacology ; Ethanol ; chemistry ; Flowers ; chemistry ; Lonicera ; chemistry ; Macrophages ; drug effects ; metabolism ; Mice ; Molecular Structure ; Nitric Oxide ; metabolism ; Nitric Oxide Synthase Type II ; antagonists & inhibitors ; Plant Extracts ; chemistry ; Plants, Edible ; chemistry ; RAW 264.7 Cells ; Triterpenes ; chemistry ; pharmacology

This present study aims to establish a UPLC method for simultaneously determining eleven components such as new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B,isochlorogenic acid C,rutin,hibisin and loganin in Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica and comparing the differences in the contents of phenolic acids,flavonoids and iridoid glycosides of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The method was carried out on an ACQUITY UPLC BEH C18column(2.1 mm×100 mm,1.7 μm) by a gradient elution using acetonitrile and 0.1% phosphoric acid.The flow rate was 0.3 mL·min-1.The column temperature was maintained at 30 ℃.The sample room temperature was 8 ℃.The wavelength was set at 326 nm for new chlorogenic acid,chlorogenic acid,caffeic acid,cryptochlorogenic acid,artichoke,isochlorogenic acid A,isochlorogenic acid B and isochlorogenic acid C,352 nm for rutin and lignin,and 238 nm for loganin.The injection volume was 1 μL.The eleven components has good resolution and was separated to baseline.Each component had a wide linear range and a good linear relationship(r≥0.999 6),the average recovery rate(n=9) was 98.96%,100.7%,97.24%,97.06%,99.53%,96.78%,98.12%,95.20%,95.12%,100.2%,98.61%and with RSD was 2.5%,1.4%,1.9%,2.1%,1.7%,1.9%,1.6%,2.0%,1.4%,2.2%,2.0%,respectively.Based on the results of the content determination,the chemometric methods such as cluster analysis and principal component analysis were used to compare the Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.The results showed that Lonicerae Japonicae Flos and leaves of Lonicera japonica were similar in the chemical constituents,but both showed chemical constituents difference compored to Lonicerae Japonicae Caulis.The established multi-component quantitative analysis method can provide a reference for the quality control of Lonicerae Japonicae Flos,Lonicerae Japonicae Caulis and leaves of Lonicera japonica.
Chromatography, High Pressure Liquid ; Drugs, Chinese Herbal ; chemistry ; Flavonoids ; analysis ; Flowers ; chemistry ; Hydroxybenzoates ; analysis ; Iridoid Glycosides ; analysis ; Lonicera ; chemistry ; Phytochemicals ; analysis ; Plant Leaves ; chemistry ; Quality Control

This study aims to explore the evaluation model for the proficiency testing of heavy metal and harmful element residues in pharmaceuticals,and to provide reference for the proficiency testing program and proficiency testing result in the field of residue analysis. The proficiency test result of cadmium determination in honeysuckle as an example. The algorithm A,NIQR,and Horwitz function are used to calculate the assigned value and the standard deviation. Z was obtained at the same time. If | Z | ≤2,the result is satisfactory. If 2< | Z | <3,the result is questionable. If | Z | ≥3,the result is unsatisfactory. In addition,the median value is the assigned value,and deviation(D%) is used. If D% is not more than 16%,the result is satisfactory; if D% is more than 16%,the result is unsatisfactory. After analysis,in the results of questionable or dissatisfied laboratories calculated by algorithm A and NIQR,the deviation error of some data is within the scope of the standard. In the results of the satisfactory laboratory evaluated by the Horwitz function,some data deviation errors far exceed the standard range. The evaluation result of the D% meets the requirements. According to heavy metal and harmful element trace analysis methods,this study is the first to apply D% to the evaluation of the detection ability of heavy metals and harmful elements in pharmaceuticals. This method makes the evaluation result more reasonable,and has important reference significance for the evaluation of other proficiency test results.
Cadmium ; analysis ; Laboratories ; Laboratory Proficiency Testing ; Lonicera ; chemistry ; Pharmaceutical Preparations ; standards ; Plant Preparations ; standards ; Trace Elements ; analysis

The quality of honeysuckle has always been an important factor in industrial development. Flowering is one of the elements for the variation of the effective components in honeysuckle. We can conveniently recognize whether the commodity is mixed with blossomed honeysuckle in the form of medicinal material. However,it is hard to identify whether the products are mixed with blossomed honeysuckle in the form of powdersince visual identification traits are missing. Therefore,this study aims to seek an effective method of odor-based distinguish for identifying the quality of honeysuckle powder in different ratios by using Heracles Ⅱ ultra-fast gas phase electronic nose.The powdered samples were prepared with flower buds and fully blooming flowers in different proportion. Gas chromatograms of the powder were obtained by HeraclesⅡ ultra-fast gas phase electronic nose. Through analyzing the data of chromatograms,we have concluded that the qualitative results of the prepared powder were almost the same,and there existed differences in the components content. Meanwhile,the hexanal odor appeared to be the critical factor in identifying honeysuckle powder quality among the flavor of all possible compounds. Also,we have applied PCA,DFA and CQ to identify and classify the variety of the powder based on the chromatogram data. Finally,it is realized that the powder was rapidly identified and classified into three grades based on the proportion of flowering honeysuckle. The predicted concentration value for the first class is less than 3,the value of is not less than 3 and less than 5 for the second class,and more than 5 for the third class. In summary,the results obtained by the study suggest that Heracles Ⅱ ultra-fast gas phase electronic nose analysis can be used as a rapid identification method for the quality of honeysuckle powder. At the same time,it can provide a reference for the quality classification of honeysuckle based on flowering degrees.
Electronic Nose ; Flowers/chemistry* ; Lonicera/chemistry* ; Odorants/analysis* ; Plant Preparations/analysis* ; Powders/analysis* ; Quality Control