ObjectiveTo establish an objective evaluation system based on the quality characteristics of Gardeniae Fructus without relying on the origin label according to the theory of excellent shape， high quality， and superior effect of authentic medicinal materials， thus providing a scientific basis for the standardization of Gardeniae Fructus. MethodsDifferent batches of Gardeniae Fructus samples were collected from different producing areas. Through herbal textual research and a review of modern literature， fruit length， maximum fruit diameter， and chroma were selected as quantitative indicators to characterize the traditional appearance traits of Gardeniae Fructus. The above indicators were measured by a vernier caliper and a spectrophotometer. Through classical famous prescription data and literature analysis， total iridoid glycosides， total crocus glycosides， and total flavonoids were selected as the core component indicators related to efficacy， and their content was determined. Finally， through cluster analysis， the threshold ranges of the quantitative indicators of excellent shape and high quality were determined， and the applicability of the established evaluation system was verified by the determination of the indicators for each batch of medicinal materials. ResultsThe excellent shape indicators of Gardeniae Fructus were the fruit length-to-maximum fruit diameter ratio ≤1.86， 0°≤h≤45°， and L^*≥ 37.32. The content of total iridoid glycosides， total crocus glycosides， and total flavonoids should be no less than 2.2%， 0.44%， and 0.028%， respectively. The measurement results of different batches of Gardeniae Fructus showed that the evaluation system could effectively distinguish the Gardeniae Fructus samples in line with the traditional cognition of excellent shape and high quality. ConclusionThis study preliminarily constructs an excellent shape and high quality-based quality evaluation system for Gardeniae Fructus， which links appearance traits with chemical indicators and provides a methodological basis for the quality control and scientific grading of this herbal medicine.

ObjectiveTo identify and quantify the excellent shape and high quality indicators of Sarcandrae Herba and establish an evaluation method for Sarcandrae Herba based on appearance traits and active components according to the theory of excellent shape， high quality， and superior effect of authentic medicinal materials. MethodsSarcandrae Herba samples from various producing areas were systematically collected. Through classical herbal textual research and modern literature analysis， colorimetric values of leaves and stems were selected as shape indicators. According to compound preparation data and literature reports， total flavonoids， total phenolic acids， and coumarins were selected as component indicators. Cluster analysis and correlation analysis were performed to identify core objective indicators and their threshold ranges for the excellent shape and high quality of Sarcandrae Herba. ResultsGreener Sarcandrae Herba exhibited higher levels of phenolic acids， total flavonoids， and coumarins. Core quantitative indicators characterizing the excellent shape and high quality of Sarcandrae Herba were Leaf a^* value<0.99， stem a^* value<4， phenolic acid content≥2.49%， total flavonoid content≥5.32%， and coumarin content≥1.98%. By calculating the compliance rate of each batch against this indicator system， the quality stability of different batches can be quantitatively evaluated. ConclusionThis study validates the traditional empirical principle that greener stems and leaves indicate high quality. It establishes a quality evaluation method for Sarcandrae Herba based on the correlation between color and bioactive components， providing a scientific basis for the quality control and grading of this herbal medicine.

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Patient-based real-time QC (PBRTQC) uses patient-derived data to assess assay performance. PBRTQC algorithms have advanced in parallel with developments in computer science and the increased availability of more powerful computers. The uptake of Artificial Intelligence in PBRTQC has been rapid, with many stated advantages over conventional approaches. However, until this review, there has been no critical comparison of these. The PBRTQC algorithms based on moving averages, regression-adjusted real-time QC, neural networks and anomaly detection are described and contrasted. As Artificial Intelligence tools become more available to laboratories, user-friendly and computationally efficient, the major disadvantages, such as complexity and the need for high computing resources, are reduced and become attractive to implement in PBRTQC applications.

Panax notoginseng contains triterpene saponins, flavonoids, amino acids, polysaccharides, volatile oil and other active components, which have the effects of promoting blood circulation, stopping bleeding, removing blood stasis, etc. This study summarized the herbal research, chemical constituents and main pharmacological activities of P. notoginseng, and based on the theory of Q-markers of traditional Chinese medicine, predicted and analyzed the Q-markers of P. notoginseng from the aspects of plant kinship, efficacy, drug properties, measurability of chemical components, etc. It was found that ginsenosides Rg_1, Re, and Rb_1 with specific content ratio, ginsenosides Rb_2, Rb_3, Rc, Rd, Rh_2, and Rg_3, notoginseng R_1, dencichine and quercetin could be used as potential Q-markers of P. notoginseng, which facilitated the formulation of quality standards reflecting the efficacy of P. notoginseng.
Panax notoginseng/chemistry* ; Ginsenosides/analysis* ; Saponins/analysis* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/pharmacology* ; Panax/chemistry*

Methods: We recruited young patients with nonspecific low back pain for <3 months, who were otherwise healthy. Each patient had EOS images taken in the flexed, erect and extended positions, in random order, as well as magnetic resonance imaging to assess for disk degeneration. Angular and disk height measurements were performed and compared in all three postures using paired t-tests. Changes in disk height relative to the erect posture were caclulated to determine the alignment-specific load-bearing area of each FSU. Results: Eighty-three patients (415 lumbar intervertebral disks) were studied. Significant alignment changes were found between all three postures at L1/2, and only between erect and flexion at the other FSUs. Disk height measurements showed that the neutral axis of the spine, marked by zones where disk heights did not change, varied between postures and was level specific. The load-bearing areas were also found to be more anterior in flexion and more posterior in extension, with the erect spine resembling the extended spine to a greater extent. Conclusions Load-bearing areas of the lumbar spine are sagittal alignment-specific and level-specific. This may imply that, depending on the surgical realignment strategy, attention should be paid not just to placing an intervertebral cage “as anterior as possible” for generating lordosis, but also on optimizing load-bearing in the lumbar spine.

Allergic rhinitis (AR) is prevalent in Singapore, with a significant disease burden. Afflicting up to 13% of the population, AR impairs quality of life, leads to reduced work productivity and is an independent risk factor for asthma. In the last 2 decades, local studies have identified patient and physician behaviours leading to suboptimal control of the disease. Yet, there is an overall lack of attention to address this important health issue. Allergic Rhinitis and its Impact on Asthma (ARIA) is a European organisation aimed at implementing evidence-based management for AR worldwide. Recent focus in Europe has been directed towards empowering patients for self-management, exploring the complementary role of mobile health, and establishing healthcare system-based integrated care pathways. Consolidation of these ongoing efforts has led to the release of the 2019 ARIA care pathways. This review summarises the ARIA update with particular emphasis on the current status of adult AR in Singapore. In addition, we identify unmet needs and future opportunities for research and clinical care of AR in the local context.