Geographical Discrimination of Honeysuckle (Lonicera japonica Thunb.) from China by Characterization of the Stable Isotope Ratio and Multielemental Analysis

Data fusion of near-infrared and mid-infrared spectroscopy for rapid origin identification and quality evaluation of Lonicerae japonicae flos

A data fusion strategy based on near-infrared (NIR) and mid-infrared (MIR) spectroscopy techniques were developed for rapid origin identification and quality evaluation of Lonicerae japonicae flos (LJF). A high-level data fusion for origin identification was formed using the soft voting method. This data fusion model achieved accuracy, log-loss value and Kappa value of 95.5%, 0.347 and 0.910 on the prediction set. The spectral data were converted to liquid chromatography data using a data fusion model constructed by the weighted average algorithm. The Euclidean distance and adjusted cosine similarity were used to evaluate the similarity between the converted and the real chromatographic data, with results of 247.990 and 0.996, respectively. The data fusion models all performed better than the models constructed using single data. This indicates that multispectral data fusion techniques have a wide range of application prospects and practical value in the quality control of natural products such as LJF.

Analysis of heavy metal content in edible honeysuckle (Lonicera japonica Thunb.) from China and health risk assessment

Honeysuckle is a commonly used medicine for health care and treatment. To detect heavy metal pollution in honeysuckle from China and quantify the health risk of heavy metal via dietary intake, the Pb, Cd, Cr, As, Hg, Ni, Mn, Cu, and Zn contents in honeysuckle samples were determined by ICP-MS. The dissolution rate of heavy metals in honeysuckle was measured by decoction and soaking. The hazard quotient (HQ) and total hazard index (HI) were used to evaluate the noncarcinogenic risk of nine heavy metals in honeysuckle, and the carcinogenic risks of Cd and As were evaluated using the carcinogen risk. Cd exhibited the maximum permissive limit standard-exceeding rate (40.2%) in honeysuckle, followed by Cu (37.6%) and Pb (8.5%). As and Hg did not exceed the standard values, and Cr, Ni, Mn, and Zn had no limits. In a decoction fluid after 30 min of boiling, the transfer rates of Pb, Cd, As, Ni, Mn, Cu, and Zn ranged from 11.9% to 19.9%, whereas that of Cr was low (1.0%). In a soaking fluid, the transfer rates ranged from 17.0% to 56.9%; no transfer rate was detected for Hg in neither the decoction fluid nor the soaking fluid. In addition, the 95th percentile Rs of As and Cd in honeysuckle were 5.93 × 10^-6 and 8.12 × 10^-5, respectively. The carcinogenic risk of Cd at 56.99th percentile reached the threshold set by the World Health Organization (1.0 × 10^-5). The results showed that intake of Pb, Cd, Cr, As, Hg, Ni, Mn, Cu, and Zn by the human body through honeysuckle could not cause noncarcinogenic damage. The element As had no carcinogenic risk, but Cd had a carcinogenic risk to a certain extent.

Spectrum-effect relationship study between HPLC fingerprints and antioxidant of honeysuckle extract

Honeysuckle (Lonicera japonica flos) is a well-known agent of edible and medicinal value in China and its antioxidative activity makes a major contribution to its dual use. However, the compounds responsible for its antioxidative activity are still unknown. In this study, 10 batches of honeysuckle were collected from different origins in China. The fingerprints were established by HPLC technique to investigate the compounds and a 1,1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging activity assay was carried out to evaluate their antioxidant activity. partial least squares regression analysis was applied to set up the regression equation between DPPH radical scavenging activity and average peak area of common peaks of fingerprints. The results showed that peaks 10 (isochlorogenic acid B), 12 (isochlorogenic acid C), 11 (isochlorogenic acid A) and 9 (cynaroside) in the fingerprints were closely related to the antioxidant activity of 50% methanol extracts of honeysuckle. This study successfully established the spectrum-effect relationship between HPLC fingerprints and DPPH radical scavenging activity and provided a general model for exploring active components with a combination of chromatography and efficacy.

Multielemental Analysis Associated with Chemometric Techniques for Geographical Origin Discrimination of Tea Leaves (Camelia sinensis) in Guizhou Province, SW China

This study aimed to construct objective and accurate geographical discriminant models for tea leaves based on multielement concentrations in combination with chemometrics tools. Forty mineral elements in 87 tea samples from three growing regions in Guizhou Province (China), namely Meitan and Fenggang (MTFG), Anshun (AS) and Leishan (LS) were analyzed. Chemometrics evaluations were conducted using a one-way analysis of variance (ANOVA), principal component analysis (PCA), linear discriminant analysis (LDA), and orthogonal partial least squares discriminant analysis (OPLS-DA). The results showed that the concentrations of the 28 elements were significantly different among the three regions (p < 0.05). The correct classification rates for the 87 tea samples were 98.9% for LDA and 100% for OPLS-DA. The variable importance in the projection (VIP) values ranged between 1.01–1.73 for 11 elements (Sb, Pb, K, As, S, Bi, U, P, Ca, Na, and Cr), which can be used as important indicators for geographical origin identification of tea samples. In conclusion, multielement analysis coupled with chemometrics can be useful for geographical origin identification of tea leaves.