New vision for TCM quality control: Elemental fingerprints and key ingredient combination strategy for identification and evaluation of TCMs

The quality control of Traditional Chinese Medicine (TCM) is crucial for ensuring its efficacy and safety. Traditional methods, however, have limitations in fully capturing the natural essence of TCM, thus hindering the comprehensive exhibition of its authenticity. Addressing this challenge requires the establishment of a scientific and reasonable quality control system, which poses significant complexities due to the TCM unique attributes. Our research team conducted in-depth exploration of the elemental fingerprints of TCM, amassing a robust theoretical and practical foundation. In this review, we presented a comprehensive review of the core value, advanced technologies, and classic cases of elemental fingerprints. We introduced a novel perspective that integrated inorganic and organic components, overcoming traditional paradigms. The review analysis highlighted unique role of elemental fingerprints in revealing the scientific connotation of TCM. Furthermore, we proposed an innovative strategy for identifying key components, which effectively addressed the limitations of traditional methods and elevated the overall evaluation standards for TCM. This strategy was supported by emerging technologies such as artificial intelligence, metallomics, and hyperspectral imaging. Looking ahead, the application prospects of the combined strategy of elemental fingerprints and key components were promising. It not only provided a solid foundation for the formulation of TCM quality control strategies but also introduced new methodologies and tools to the field of regulatory science and scientific oversight of TCM.

Role of Genetically Modified Microorganisms for Effective Elimination of Heavy Metals

Heavy metals are lethal and hazardous pollutants for the ecosystem owing to their virtues including acute toxicity, prolonged persistence, and bioaccumulation. These contaminants are not only a threat to aquatic/terrestrial biota but also pose serious health issues to humans. Natural and anthropologic processes consistently upsurge heavy metal concentration beyond acceptable limits and mobilization and hence disturb biogeochemical cycles and the food chain, although several conventional strategies including adsorption, chemical precipitation, ion exchange, and membrane separation methods are being employed for the removal of these lethal heavy metals from the ecosystem but failed due to lower efficiency rates and high application charges. The current scenario highly demands advanced biosorption or bioaccumulation processes that slow down heavy metal mobilization within the acceptable limit in the ecosystem. Genetically modified microorganisms (GMMs) with desired features are developed through interdisciplinary participation of genomics, molecular microbiology, and bioinformatics that have more potential to bioremediate heavy metals than the native microbes from polluted ecosystems. The study focuses on different sources of heavy metals, their impact on the ecosystem, and the bioremediation of toxic heavy metals via GMMs.

Research progress of the detection and analysis methods of heavy metals in plants

Heavy metal (HM)-induced stress can lead to the enrichment of HMs in plants thereby threatening people's lives and health via the food chain. For this reason, there is an urgent need for some reliable and practical techniques to detect and analyze the absorption, distribution, accumulation, chemical form, and transport of HMs in plants for reducing or regulating HM content. Not only does it help to explore the mechanism of plant HM response, but it also holds significant importance for cultivating plants with low levels of HMs. Even though this field has garnered significant attention recently, only minority researchers have systematically summarized the different methods of analysis. This paper outlines the detection and analysis techniques applied in recent years for determining HM concentration in plants, such as inductively coupled plasma mass spectrometry (ICP-MS), atomic absorption spectrometry (AAS), atomic fluorescence spectrometry (AFS), X-ray absorption spectroscopy (XAS), X-ray fluorescence spectrometry (XRF), laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS), non-invasive micro-test technology (NMT) and omics and molecular biology approaches. They can detect the chemical forms, spatial distribution, uptake and transport of HMs in plants. For this paper, the principles behind these techniques are clarified, their advantages and disadvantages are highlighted, their applications are explored, and guidance for selecting the appropriate methods to study HMs in plants is provided for later research. It is also expected to promote the innovation and development of HM-detection technologies and offer ideas for future research concerning HM accumulation in plants.