Rapid and intelligent discrimination of Notopterygium incisum and Notopterygium franchetii by infrared spectroscopic fingerprints and electronic olfactory fingerprints

MGB probe-based multiplex droplet digital PCR for the interspecific identification of Notopterygii Rhizoma et Radix in herbal materials and preparations

BACKGROUND

Owing to high sensitivity and ability for absolute quantification, the droplet digital polymerase chain reaction (ddPCR) is widely used for viral and bacterial detection. However, few studies have been conducted on the application of ddPCR to identify the original plant species used in traditional Chinese medicine and Chinese patent medicine.

PURPOSE

In this study, we investigated the feasibility of using ddPCR to differentiate between Notopterygium incisum and N. franchetii to establish a sensitive and quantitative method for quality control of herbal materials and preparations.

METHODS

Specific minor groove binding (MGB) probes and primers were designed based on stable single nucleotide polymorphisms. The ddPCR experimental conditions were designed and optimised according to the results of multiplex PCR and qPCR, which ultimately confirmed the limits of detection and quantification (LOD and LOQ, respectively) of the method for Notopterygii Rhizoma et Radix. Additionally, the original plant species of Notopterygii Rhizoma et Radix in Jiuwei Qianghuo pills circulating in the market were identified.

RESULTS

The results of the multiplex PCR and qPCR indicated that the probes and primers were specific. Furthermore, a Qsep analyser and Sanger sequencing were used to confirm that the specific amplification products of N. incisum and N. franchetii were 283 and 206 bp, respectively. The optimised ddPCR system was employed to determine the LOD to be 0.000816 ng/µl, and LOQ of N. incisum and N. franchetii to be 0.00408 and 0.003312 ng/µl, respectively. In addition, Notopterygii Rhizoma et Radix in four Jiuwei Qianghuo pills was amplified and successfully identified using ddPCR assays.

CONCLUSION

This study established a multiplex ddPCR method using MGB probes to identify Notopterygii Rhizoma et Radix, providing a foundation for the identification and quantification of multi-source Chinese herbal medicines.

A systematic review of the botany, traditional use, phytochemistry, analytical methods, pharmacological effects and pharmacokinetics of NOTOPTERYGII RHIZOMA ET RADIX

ETHNOPHARMACOLOGICAL RELEVANCE

NOTOPTERYGII RHIZOMA ET RADIX (NRR), a traditional Chinese medicine (TCM), has been utilized in China for millennia. Thriving in high-altitude regions with cold climates, wild NRR has been heavily exploited for its significant economic worth, particularly in the medical sector.

THE AIM OF THE REVIEW

This paper presents a comprehensive review of the botany, traditional uses, phytochemistry, analytical methods, quality control, processing methods, pharmacological effects, and pharmacokinetics of NRR. These findings offer valuable insights for future research endeavors and establish a solid groundwork for the judicious clinical utilization of NRR.

MATERIALS AND METHOD

The related information for NRR comes from scientific databases (such as Baidu Scholar, CNKI, Google Scholar, PubMed, Science Direct, Web of Science, SciFinder Scholar, Chinese Herb Classics, Chinese Pharmacopoeia, PhD and MSC Dissertations, etc.).

RESULTS

Currently, components isolated from NRR are identified as coumarins, volatile oils, organic acids, flavonoids, glycosides, polyacetylenes, and trace elements. Most compounds are analyzed using HPLC and GC techniques. NRR exhibits a broad spectrum of pharmacological effects, such as anti-inflammatory, analgesic, antipyretic, antitumor, antiviral, antibacterial, immunosuppressive activities, as well as promoting blood circulation, removing blood stasis, providing neuroprotection, and liver protection.

CONCLUSION

The research on NRR in phytochemistry and pharmacology has made great progress, and some traditional uses have been proven by modern pharmacology. However, because the complex chemical composition of NRR has not been effectively related to its pharmacological action, its mechanism of action has not been clearly expounded. In this review, the processing methods of NRR are summarized, and the exploration of further strengthening the processing mechanism of NRR is put forward, which provides some theoretical help for the clinical application of NRR. Furthermore, the complex chemical composition of NRR makes quality control difficult, so we must study its quality control thoroughly. In order to better develop and utilize NRR, we should establish a reasonable, reliable, and accurate quality control standard, and focus on the relationship between its active components and pharmacodynamic indicators and the study of its mechanism of pharmacological effects.

Integrated approach to predicting habitat suitability and evaluating quality variations of Notopterygium franchetii under climate change

The impact of climate change on medicinal plants has significantly altered their suitable environments, thereby affecting the quality of herbal medicines. Notopterygium franchetii (N. franchetii), a medicinal plant intricately linked to its natural habitat, exhibits substantial quality variations influenced by the ecological conditions of its native region. In this study, comprehensive field surveys were conducted to gather occurrence records and samples of N. franchetii. The Maxent model and ArcGIS software were employed to predict the suitable habitats of N. franchetii during different time periods. A high-performance liquid chromatography (HPLC) method was developed to establish the chemical fingerprints of 21 sample batches. Fourteen common peaks were subjected to cluster analysis, principal component analysis, and orthogonal partial least squares-discriminant analysis. The findings revealed quality variations correlated with their geographic origins, identifying peaks 10, 1, 14, 3, and 4 as crucial for quality differentiation. The study indicates that precipitation, temperature, and altitude significantly influence the distribution of N. franchetii. Under current climate conditions, the suitable habitat area for N. franchetii is estimated to be approximately 94,637.33 km2. However, projections under three future climate scenarios suggest a declining trend in suitable habitat areas. A quality zoning map of N. franchetii was developed, integrating a correlation model between chemical composition and environmental variables with the spatial analysis and visualization capabilities of ArcGIS. The high-quality regions for N. franchetii are predominantly located in the Gannan, Linxia, Dingxi, Longnan, and Wuwei districts. These research outcomes offer a valuable reference for identifying suitable cultivation areas and assessing the quality of N. franchetii in Gansu Province.

Constituents, Antibacterial Effect, and Cytotoxicity of Essential Oil from Aerial Parts of Notopterygium incisum

Notopterygium incisum Ting ex H. T. Chang (N. incisum) is a precious Chinese traditional medicine distributed in high-altitude regions of southwest China. The aim of this study was to investigate the composition, antibacterial activity, and cytotoxicity of essential oil from aerial parts of N. incisum. N. incisum essential oil (NI-EO) was extracted by hydro-distillation, and gas chromatography/mass spectrometry (GC-MS) analysis showed that the major components of NI-EO were D-limonene (18.42%) and γ-terpinene (15.03%). The antibacterial activity and mechanism study showed that the diameters of inhibition zone (DIZs) of NI-EO against E. coli and S. aureus were 14.63 and 11.25 mm and the minimum inhibitory concentrations were 3.75 and 7.5 μL/mL, respectively. NI-EO not only caused intracellular biomacromolecule leakage and cell deformation by destroying bacterial cell wall integrity and cell membrane permeability, but also degraded the mature biofilm. The low toxicity of NI-EO was demonstrated in an assay on bovine mammary epithelial cells. These results implied that NI-EO was mainly composed of monoterpenes and sesquiterpenes and had excellent antibacterial activity and showed low levels of cytotoxicity. It is expected to be applied as a natural antibacterial agent in the future.

Trends in digital detection for the quality and safety of herbs using infrared and Raman spectroscopy

Herbs have been used as natural remedies for disease treatment, prevention, and health care. Some herbs with functional properties are also used as food or food additives for culinary purposes. The quality and safety inspection of herbs are influenced by various factors, which need to be assessed in each operation across the whole process of herb production. Traditional analysis methods are time-consuming and laborious, without quick response, which limits industry development and digital detection. Considering the efficiency and accuracy, faster, cheaper, and more environment-friendly techniques are highly needed to complement or replace the conventional chemical analysis methods. Infrared (IR) and Raman spectroscopy techniques have been applied to the quality control and safety inspection of herbs during the last several decades. In this paper, we generalize the current application using IR and Raman spectroscopy techniques across the whole process, from raw materials to patent herbal products. The challenges and remarks were proposed in the end, which serve as references for improving herb detection based on IR and Raman spectroscopy techniques. Meanwhile, make a path to driving intelligence and automation of herb products factories.

Bioherbicidal potential of plant species with allelopathic effects on the weed Bidens bipinnata L

Plant species with allelopathic effects against weeds have emerged as a potential strategy for the development of ecologically friendly bioherbicides. In this study, the allelopathic effects of the plant species Dipteryx lacunifera Ducke, Ricinus communis L., Piper tuberculatum Jacq., and Jatropha gossypiifolia L. on the weed Bidens bipinnata L. were investigated. In vitro bioassays revealed that aqueous extracts of selected plant species were able to inhibit seed germination and seedling growth of B. bipinnata, highlighting the strongest allelopathic effect evidenced by R. communis. The phytotoxicity of the aqueous extracts was evaluated in pot experiments, which indicated that the foliar application of R. communis and P. tuberculatum extracts on B. bipinnata plants caused yellowing of leaves, affecting the chlorophyll content and reducing growth. The discrimination of the plant extracts by attenuated total reflectance Fourier transform mid-infrared (ATR FT-MIR) spectroscopy combined with principal component analysis (PCA) indicated the presence of allelochemical compounds, such as phenolics and terpenoids, which may be associated with allelopathic activity. Overall, this study provides valuable information about the substantial allelopathic inhibitory effects of the plant species R. communis and P. tuberculatum on the weed B. bipinnata, which may be used for the development of eco-friendly bioherbicides.

A smart spectral analysis strategy-based UV and FT-IR spectroscopy fingerprint: Application to quality evaluation of compound liquorice tablets

This study focuses on development of a smart spectral analysis strategy for rapid quality evaluation of complex sample. Firstly, the ultraviolet (UV) and Fourier Transform Infrared (FT-IR) spectroscopy were established. Secondly, the second derivative UV spectral was obtained and showed 7 major absorption peaks, which was the projection of the 3D-spectrum profile. It can perform peak matching like chromatogram, thus, helpful for 3D UV spectrum analysis, qualitatively and quantitatively. The qualitative and quantitative similarity results based on systematic quantified fingerprint method displayed basically a consistency with their hierarchical cluster analysis results. Notably, the quality evaluation of the first proposed FT-IR spectral quantized fingerprints and the good correlation of P_m% with PA (R² = 0.80296), as well as the excellent quantitative prediction model for liquiritin, glycyrrhizinic acid and sodium benzoate all indicated the promising of FT-IR spectral quantized fingerprint in quantitative analysis and QC of compound liquorice tablets. Finally, an integrated evaluate strategy was developed by mean algorithm to reduce the error caused by single technique. 54 samples integrally had a good quality consistency as their quality ranged grade 1-5. This study illustrated that the smart data analysis strategy based on spectral fingerprint has potential to enhance existing methodologies for further rapid and integrated studies evaluating the quality of herbal medicine and its related products.