Pharmaceutical analysis is a discipline based on chemical, physical, biological, and information technologies. At present, biotechnological analysis is a short branch in pharmaceutical analysis; however, bioanalysis is the basis and an important part of medicine. Biotechnological approaches can provide information on biological activity and even clinical efficacy and safety, which are important characteristics of drug quality. Because of their advantages in reflecting the overall biological effects or functions of drugs and providing visual and intuitive results, some biotechnological analysis methods have been gradually applied to pharmaceutical analysis from raw material to manufacturing and final product analysis, including DNA super-barcoding, DNA-based rapid detection, multiplex ligation-dependent probe amplification, hyperspectral imaging combined with artificial intelligence, 3D biologically printed organoids, omics-based artificial intelligence, microfluidic chips, organ-on-a-chip, signal transduction pathway-related reporter gene assays, and the zebrafish thrombosis model. The applications of these emerging biotechniques in pharmaceutical analysis have been discussed in this review.

The quality control of Traditional Chinese medicine (TCM) is a scientific problem and an industrial issue, which hampers the development of evidence based TCM. The concept of quality markers (Q-markers) is proposed and has been applied to the quality evaluation of TCM based on its clinical efficacy. However, more specific methods are needed to put this idea into practice. The standard decoction is a representative of decoction used in clinical practice and it can be used for the discovery of Q-markers related to the clinical efficacy of TCM. In this study, a systemic strategy was established to discover Q-markers related to the clinical efficacy of TCM Ephedrae Herba (EH), dried stem of Ephedra sinica Stapf. The different processed materials of EH have different clinical applications, though originating from the same medicinal herb. The standard decoction of each of the processed materials was prepared and a ¹HNMR metabolomics approach and total polysaccharide analysis were used to identify potential Q-markers related to the different clinical applications of EH. Correlation analysis was made of the measured biological activity and the holistic chemical profile. The results showed that total polysaccharides and alkaloids were Q-markers for EH preparations. This study demonstrates that the standard decoction is a reasonable research objective to explore chemical markers that correlate with the clinical efficacy of TCM.

Complex systems exist widely, including medicines from natural products, functional foods, and biological samples. The biological activity of complex systems is often the result of the synergistic effect of multiple components. In the quality evaluation of complex samples, multicomponent quantitative analysis (MCQA) is usually needed. To overcome the difficulty in obtaining standard products, scholars have proposed achieving MCQA through the "single standard to determine multiple components (SSDMC)" approach. This method has been used in the determination of multicomponent content in natural source drugs and the analysis of impurities in chemical drugs and has been included in the Chinese Pharmacopoeia. Depending on a convenient (ultra) high-performance liquid chromatography method, how can the repeatability and robustness of the MCQA method be improved? How can the chromatography conditions be optimized to improve the number of quantitative components? How can computer software technology be introduced to improve the efficiency of multicomponent analysis (MCA)? These are the key problems that remain to be solved in practical MCQA. First, this review article summarizes the calculation methods of relative correction factors in the SSDMC approach in the past five years, as well as the method robustness and accuracy evaluation. Second, it also summarizes methods to improve peak capacity and quantitative accuracy in MCA, including column selection and two-dimensional chromatographic analysis technology. Finally, computer software technologies for predicting chromatographic conditions and analytical parameters are introduced, which provides an idea for intelligent method development in MCA. This paper aims to provide methodological ideas for the improvement of complex system analysis, especially MCQA.

It is well-known that Prof. Tu Youyou won the Nobel Prize in Physiology or Medicine in 2015 due to the research on artemisinin treating malaria, and this can be regarded as the milestone of modernization of Traditional medicine. This first Nobel Prize in Traditional Chinese medicine (TCM) has aroused profound impetus in the investigation of TCM and attracted global attention to the ancient books of TCM. Three new medicines for the treatment of COVID-19 derived from Chinese Classical Formula (经典名方, CCF) have been approved in 2021 due to their effectiveness for the treatment of COVID-19. This article introduced the research background of CCF pharmaceutical preparation (CCFPP), explained the ideas for the modernization of CCF and analyzed related issues involved in the development process of CCFPP, including the origin of medicinal materials, processing methods, dosages and the preparation process of CCF Material Reference. The strategy for industrialization was proposed in terms of the evaluation of the pharmaceutical properties, industrialization considerations, and clinical positioning of CCFPP. The key contents and requirements for the development CCFPP were also summarized according to the recently published registration guidance by the Center for Drug Evaluation in China. In addition, the safety issues of CCFPP were described, including the discussion on the non-clinical safety evaluation and analyzation on the international registration of Traditional herbal medicines. This article is aimed to provide references for enterprises, researchers, and relevant personnel of government departments that are engaged in the development of CCF to speed up the developing process of CCFPP.

Radix Bupleuri is a traditional Chinese medicine harvested from two Bupleurum species (B. chinense and B. scorzonerifolium). It is widely used and is sourced from different regions of China. ¹H NMR spectroscopy and multivariate data analysis were applied to 67 Radix Bupleuri samples to discriminate the two species, and explore the influences of habitat and culture method on the quality of Radix Bupleuri based on their metabolomics profiles. Metabolites responsible for the differences between the two species were higher levels of arginine, citric acid, sucrose, saikosaponin b₁/b₂ analogs, volatile oil with an (E)-2-olefin aldehyde fragment, and fatty acids in B. scoreonerifolium, and more saikosaponin a/c/d analogs in B. chinense. The variances of two cultivation areas were observed due to the higher amount of saikosaponins a/c/d in samples from Shaanxi and lipidsin samples from Shanxi. No obvious difference was detected between cultivars and wild type. ¹HNMR metabolomics can simultaneously detect saikosaponins and hydrocarbon aldehydes, and also differentiate the two main saikosaponin skeletons, making it a suitable tool for the species discrimination and quality evaluation of Radix Bupleuri.