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Drug testing involves many analytical instruments and test items, sample pretreatment is tedious, the industry's intelligence level remains low, making drug testing a labour-intensive job. However, in the era of Industry 4.0 intelligent manufacturing, intelligent transformation of the quality control (QC) laboratory has become the focus of industry. At the same time, driven by consistency evaluation of the quality and efficacy of generic drugs and the centralized procurement policies, pharmaceutical companies have intensified their competition, further stimulating the intrinsic demand for laboratory intelligence. Based on the current state and future trends of the pharmaceutical industry, this review discusses the development of a digital and automated QC laboratory. It points out the necessity of transitioning from the traditional centralized laboratory model to an intelligent, distributed quality control model to accommodate continuous manufacturing processes. At the same time, it also analyses the potential challenges in the implementation process and coping strategies, in order to provide relevant practitioners with ideas for building intelligent QC laboratories.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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