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  • Jia-Jia ZHOU
    Laboratory Testing. 2024, 2(1): 89-93.

    In this paper, the equipment management, personnel training and quality control of the laboratory are comprehensively assessed by adopting quality control methods such as checklist evaluation and traceability management. Taking a food testing laboratory as an example, it quantitatively analyzes its quality management and gives the evaluation and improvement suggestions on equipment management, personnel training and quality control of the laboratory. Meanwhile, in the process of establishing a traceable management system, the management of quality control should also be strengthened to improve the accuracy and reliability of testing. Through the improvement and refinement of the laboratory, it can not only enhance the overall quality level of the testing laboratory, but also contribute to the maintenance of social public safety and health.

  • Zuo-Hua SHI
    Laboratory Testing. 2024, 2(1): 5-9.

    Objective Due to the poor application effect of current technology in groundwater pollution source water quality monitoring, the recovery rate of pollutants is low, and the RSD is relatively high, aiming at the defects of linear method, the application of ion chromatography technology in groundwater pollution source water quality monitoring is proposed. Methods An automatic sampling device is used to collect water samples upstream of groundwater pollution sources and filter them. By diluting the standard solution of each pollutant, preparing the standard working solution, centrifuging the water sample with the centrifuge, testing the water sample with the ion chromatograph, identifying the pollutants according to the standard working curve and generating the corresponding ion chromatogram, calculating the mass concentration according to the ion content of the pollutant, so as to complete the water quality monitoring of groundwater pollution sources based on the ion chromatographic technology. Results The recovery rate of pollutants is above 90% and the RSD value is lower than 0.1, the application effect of this technology is relatively good. Conclusion The technique has good adaptability and reliability, can be used for water quality monitoring.

  • Qiang ZHU
    Laboratory Testing. 2024, 2(1): 58-61.

    Biopharmaceutical cleanroom air conditioning plays an important role in ensuring the cleanliness and stability of a clean environment. By investigating and analyzing the actual situation of clean air conditioning systems in the biopharmaceutical industry, scientific and effective methods for clean air conditioning testing and debugging are proposed, which can accurately evaluate the cleanliness and performance of clean air conditioning systems. Meanwhile, the practical application effect of this method indicates that it can improve the cleanliness and stability of clean environments.

  • Jing-Quan WANG, Xue-Li GUO, Ting-Ting GUO, Jian-Ping GUO, Shu-Fang LI
    Laboratory Testing. 2024, 2(1): 23-29.

    Objective To explore and analyze the blood physiological and biochemical indicators of SPF grade SD rats of different ages and genders. Method 80 SPF grade SD rats were studied and randomly divided into four experimental groups at 4, 12, 24, and 48 weeks of age. The male to female ratio in each group was 1:1. All SD rats were analyzed for their blood physiological indicators using the XFA6030 animal blood cell analyzer; apply the Beckman Coulter AU5800 fully automated biochemical analyzer to analyze its blood biochemical indicators. Result Compared with SD rats aged 12, 24, and 48 weeks, SD rats aged 4 weeks showed significant differences in WBC, RBC, HGB, HCT, MCV, MCH, MCHC, PLT, PCT, BA #, and BA%(P<0.05), and all indicators reached their peak at 24 weeks. Among the gender differences between male and female, SD rats aged 4 weeks showed differences in BA%; 12. There were differences in WBC and RBC between 24 week old SD rats; 24 week old SD rats showed differences in BA%; 48 week old SD rats showed differences in MCH and PCT, and all differences had P values $<{0.05}$ ; Compared with 12,24, and 48 week old SD rats,4-week old SD rats showed significant differences in AST, CHOL, TP, GLU, CRE, ALT, ALP, BUN, and TG (P<0.05). Among the gender differences between male and female, 4-week old SD rats showed significant differences in CRE and ALP; There were differences in AST, CHOL, and BUN among 12 week old SD rats; There were differences in ALP between 12 week old and 24 week old SD rats, and all P values of the differences were<0.05 . Conclusion There are statistical differences in blood physiological and biochemical indicators among SD rats of the same gender but different age groups. Similarly, there are also differences in blood physiological and biochemical indicators among SD rats of the same age group but different genders.

  • Li-Ling CHEN, Hong-Hu SUN, Jun-Xia LI, Hong-Lin ZHU, Man-Jiang ZHENG, Xiu-Mei LING
    Laboratory Testing. 2024, 2(1): 123-128.

    Objective To separate and identify the miscellaneous bacteria in sterilized lactic acid bacteria beverages provided by an enterprise. Methods The miscellaneous bacteria of lactic acid bacteria beverages were isolated and purified using a variety of medias. The isolated strains were identified at the genus and species levels by analysis of ${16}\mathrm{\;S}$ rRNA sequence and matrix-assisted laser desorption/ionization time of flight mass spectrometry. Results A total of 16 strains were isolated, Among them, 5 strains of Acetobacter, 2 strains of Gluconobacter japonicus, 1 strain of Gluconacetobacter liquefaciens, 1 strain of Kocuria palustris, 1 strain of Streptomyces hydrogenans, 1 strain of Staphylocaccus saprophyticus, 1 strain of Bacillus sp, 1 strain of Novosphingobium aromaticivorans, 1 strain of Brevundimonas vesicularis, 2 strains of Yeast, most of which (n=8, 50%)were identified as Acetobacteraceae. Conclusion Acetobacter, Bacillus, Staphylococcus, Brevundimonas vesicularis, mold, Yeast and other microorganisms were isolated from the bactericidal lactobacillus beverage, most of which belongs to Acetobacteraceae.

  • Rui ZHANG
    Laboratory Testing. 2024, 2(1): 83-87.

    As the most basic medical means, drugs can not only effectively treat and prevent diseases, but also directly affect the health of users. With the continuous improvement of the number and output of drugs, the quality and safety of drugs are the core tasks of pharmaceutical enterprises that can not be ignored. As an important means to detect the risk of problems, the effect of inspection and detection is affected by many factors, such as personnel, equipment, environment and so on. For this, major pharmaceutical manufacturing enterprises have the obligation to perform their duties and strengthen drug quality detection. In the context of the rapid development of science and technology, automation technology, information sharing platform, real-time monitoring system and so on have provided strong support for the development of drug inspection. Data integrity runs through the whole process of drug inspection. It is an internal demand and an inevitable trend to pay attention to the construction of drug research and development laboratory information management system (LIMS). Based on this, starting from the background of drug research and development stage, this paper explores the construction and design content of drug inspection LIMS, and puts forward corresponding construction strategies on how to improve the quality management level of drug research and development, in order to provide exchange and reference.

  • Zheng-Shuang WU, Chi-Qiong LIANG, Rui-Lian Luo, Zhi Wang, Rui-Lian Chen
    Laboratory Testing. 2024, 2(1): 46-51.

    Objective To study the content level of vanillin in rice and the changes of vanillin in paddy rice processing. Methods Ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was used to determine the contents of vanillin, methyl vanillin and ethyl vanillin in 209 batches of rice from different origins; at the same time, 16 batches of rice were hulled, milled or finished, and the rice and its processed products (brown rice, standard rice or polished rice) were tested. Results Methyl vanillin and ethyl vanillin were not detected in all rice, paddy and their processed products; vanillin was all detected in 209 batches of rice, and the content values were close to the normal distribution, mainly concentrated in ${100}\sim {222\mu}\mathrm{g}/\mathrm{{kg}}$ ; vanillin was detected in rice and its processed products (brown rice, standard rice or polished rice), and the content decreases with the processing accuracy. Conclusion The possibility of naturally occurring vanillin in rice, and the source is probably rice hull; the detection of vanillin in rice is not always illegal addition, the content level of vanillin in rice and paddy rice should be continuously studied and scientifically analyzed to provide scientific evidence for the market supervision department formulating reasonably the risk reference value of rice.

  • Liang JIA
    Laboratory Testing. 2024, 2(1): 79-82.

    Compared with most of the current published instruments and equipment management risk research literature, generally only pay attention to the risk identification of individual links, and there are problems such as incomplete risk identification and analysis, which will affect the effectiveness of instrument and equipment risk management. In order to guide the inspection body and laboratory to carry out the risk management of instruments and equipment more reasonably, risk identification is carried out from the aspects of the whole life cycle and safety of instruments and equipment, and the identified risks are analyzed and evaluated, and risk disposal suggestions are put forward according to the evaluation results. Encourage inspection body and laboratory to always meet the requirements of management system and compliance operation in terms of instrument and equipment risk management.

  • Li-Jun XIAO, Li-Min YIN, Zheng-Han HUANG, Rui KONG, Yin CAI
    Laboratory Testing. 2024, 2(1): 137-144.

    Objective To evaluate the precision and accuracy level of four Dimai DM79x blood cell analyzers in the most suitable working state of our department's daily indoor quality control by comparing the indoor quality control data, so as to improve the accuracy and consistency of test results. Methods In February 2023 (28 days), the indoor quality control data of four laboratory instruments using original low, medium and high fixed value quality control products and daily testing of a random outpatient fresh patient sample were collected. The items included: White blood cells (WBC), red blood cells (RBC), hemoglobin (HGB), hematocrit (HCT), platelets (PLT), mean red blood cell volume (MCV), mean red blood cell hemoglobin volume (MCH), mean red blood cell hemoglobin concentration (MCHC) calculated mean (X), standard deviation (S) and coefficient of variation (CV), Coefficient of variation index (CVI) and standard deviation index (SDI) were used as precision and accuracy evaluation indexes respectively. Result The statistical analysis showed that the blood cell analysis of the DM79x instrument included 8 parameters, including WBC, RBC, HGB, PLT, HCT, MCV, MCH and MCHC. The coefficient of variation index of CVI of each instrument was different, and the indoor quality control result of SDI was &lt;2.0. The measured values of CVI and SDI of fresh sample comparison data are all within the required range. Conclusion Four Dimai DM79x automatic blood cell analyzers in our department have good precision and high accuracy by comparing the indoor quality control data between laboratories. The performance of the instrument can meet the work needs of clinical laboratories. Moreover, the accuracy and consistency of the results in different instruments can be ensured by comparing the fresh samples of patients.

  • Hai-Hong LIU, Ruo-Chun CAI, Qing Liang, Li-Hua LE, Hai-Ying ZHONG, Yi LEI
    Laboratory Testing. 2024, 2(1): 94-100.

    Objective Deeply dig into the rapid inspection data, build a quality evaluation model for food rapid inspection work, and achieve targeted management and smart supervision of rapid inspection work. Methods Based on massive rapid inspection data, the current status and supervision model of food rapid inspection in farmers' markets were analyzed, and a quality evaluation model for rapid food inspection was constructed. Results By carrying out research on the big data system for food rapid inspection, improving the scientificity and effectiveness of the evaluation of rapid inspection work. Conclusion This study provides a scientific theoretical basis for accurate supervision, intelligent supervision and targeted supervision at the grass-roots level.