The components of biological samples are complex, and the concentration range of target analytes varies significantly. Therefore, sample pretreatment is particularly important for subsequent analysis. With the continuous development of analytical techniques, the requirements for sample pretreatment are also increasing. Pretreatment technologies are evolving towards microscale, time-saving, high-efficiency, online, and environmentally friendly directions to meet the requirements of complex matrices and trace analysis. Online pretreatment technologies integrate sample pretreatment steps and subsequent detection processes directly into an automated system, which can reduce steps and errors, improve analysis efficiency and sensitivity, and achieve automatic, rapid, and efficient analysis of target compounds. This paper reviews the online pretreatment technologies for biological samples in China and abroad in the past 10 years, offering valuable insights to guide future research and innovation in the realm of biological sample pretreatment.

Objective: To develop an inductively coupled plasma mass spectrometry(ICP-MS) method for the determination of Cd, Pb, As, Hg, Co, V, Ni and Se in the crude drug of lanthanum carbonate. Methods: Samples were diluted with 3% nitric acid and directly injected. The matrix effect was eliminated by standard addition method and matrix matching method. Lanthanum oxide was added into the standard solution as the matrix.Compare the linearity, repeatability, accuracy, quantification limit, detection limit and sample determination results of the two methods by methodological validation and sample determination. Results: The linear ranges of ICP-MS standard addition method and matrix matching method were 0-30 ng · mL^-1, the correlation coefficients for all elemental impurities were good(r>0.998). Limits of detection were between 0.003 9-0.22 ng · mL^-1 and 0.009 1-0.72 ng · mL^-1. The RSD of repeatability(n=6) were between 1.5%-4.9% and 5.1%-6.9%. The recoveries were between 87.0%-98.3% and 83.4%-114.4%. The contents of 8 elemental impurities in the crude drug of lanthanum carbonate were basically same. Conclusion: The established two methods can effectively eliminate the matrix effect. They were both simple, rapid, sensitive, accurate and applicable for the elemental impurity control of lanthanum carbonate.

Objective: To identify and analyze the chemical components of Bufei Jianpi formula by ultra-high performance liquid chromatography-coupled with high-resolution mass spectrometry (UPLC-HRMS). Methods: A Hypersil GOLD (2.1 mm×100 mm, 2.6 μm) column was used. Methanol (A)-0.1% formic acid water (B) was used as the mobile phase with gradient elution, the flow rate was 0.2 mL · min^-1, and the column temperature was 30 ℃.The mass spectrometry data were collected using the Full MS/dd-MS² scanning mode of positive and negative ions, and the characteristic fragment ion peak information was analyzed by compound discoverer. Combined with Chemspider, mzCloud and other databases and existing reports of relevant chemical composition information,the chemical components of Bufei Jianpi formula was analyzed by using the cracking prediction of Mass Frontier and its cracking rule. Results: A total of 221 compounds were identified from Bufei Jianpi formula, including 65 flavonoids, 40 phenylpropanoids, 21 terpenoids, 16 alkaloids and 79 other compounds. Conclusion: UPLC-Orbitrap Fusion Lumos Tribrid-MS can quickly identify the chemical components of Bufei Jianpi formula and qualitatively analyze the material basis of Bufei Jianpi formula, which can be used for the quality control of Bufei Jianpi formula.

Objective: To establish a method for determination of aconite alkaloids in Fengshi Gutong tablets. Methods: Analysis was performed on a WatersXSelect^® CSH C₁₈（250 nm×4.6 mm, 5 μm） column with mobile phase consisting of 0.1% acetic acid aqueous solution, acetonitrile and methanol with gradient elution at a flow rate of 1.0 mL·min^-1. The detection wavelength was set at 245nm and the column temperature was 30 ℃. Results: Twelve aconite alkaloids could be separated well. When the injection amounts of ranaconitine, benzoylmesaconine, benzoylmesaconine, benzoylmesaconine, acoforestinine and beiwutine, mesaconitine, hypaconitine, indaconitine, aconitine, yunaconitine, bulleyaconitine A were 0.022 8-0.136 6 μg, 0.041 5-0.249 0 μg, 0.033 5-0.200 8 μg, 0.033 9-0.203 1 μg, 0.033 1-0.198 6 μg, 0.040 3-0.241 6 μg, 0.030 2-0.181 4 μg, 0.028 6-0.171 6 μg, 0.033 6-0.201 6 μg, 0.030 3-0.181 9 μg, 0.063 4-0.381 5 μg and 0.034 0-0.204 2 μg, respectively, the peak area showed a good linear relationship with the injection amounts. The average recovery rates of 12 aconite alkaloid components ranged from 93.6% to 101.5%, and the RSD ranged from 0.55% to 2.6%. The average contents of ranaconitine, benzoylmesaconine, benzoylmesaconine, benzoylmesaconine, acoforestinine and beiwutine, mesaconitine, hypaconitine, indaconitine and yunaconitine in three batches of Fengshi Gutong tablets (batch No. 211227, 220823 and 230425) were 0.492 μg, 65.78 μg, 7.319 μg, 10.164 μg, 1.068 μg, 5.583 μg, 2.573 μg, 5.865 μg, 2.021 μg, 2.050 μg, respectively. And aconitine and bulleyaconitine A were not detected. Conclusions: The established method is accurate and reliable, and can be used for the determination of 12 aconite alkaloids compounds in Fengshi Gutong tablets to achieve comprehensive quality control of preparations.

Objective: To establish a two reference substances for determination of multiple components (TRSDMC)method for the simultaneous determination of scutellarin, rosmarinic acid, negletein, carvacrol and thymol in Moslae Herba, which was more economical and effective for the quality control of Moslae Herba. Methods: The retention times of the five components in Moslae Herba were determined using HPLC on 13 different C₁₈ columns. The average retention time of each component under each column was then used as the standard retention time for that component.Rosmarinic acid (peak 2) and carvacrol (peak 4) were chosen as linear calibration standards. The chromatographic peaks were localized by using liner calibration with two reference substances (LCTRS). Rosmarinic acid was used as the control substance to determine the content of each component using a relative correction factor. And the results were compared with those obtained from the external standard method. Chemometric analysis was used to excavate the differential quality markers of Moslae Herba. Results: LCTRS had accurate prediction results for the measured components and enjoyed a wide range of column applications. The correction factors of scutellarin, negletein, carvacrol and thymol to rosmarinic acid were 0.853 3, 0.475 2, 3.034 7 and 2.738 6, respectively, and their relative standard deviations were below 2.0%.There was no significant difference between contents obtained by the two methods. The contents of scutellarin, rosmarinic acid, negletein, carvacrol and thymol in 21 batches of Moslae Herba were 0.05-2.87 mg · g^-1, 0.73-9.73 mg · g^-1, 0.04-0.99 mg · g^-1, 0.36-8.52 mg · g^-1 and 0.61-10.2 7 mg · g^-1, respectively. The 24 batches of samples could be clustered into three categories, and thymol, carvacrol and negletein ether could be used as differential quality markers. Conclusion: TSDMC method for the simultaneous determination of the contents of 5 components in Moslae Herba is stable and reliable, and provides a new idea for the overall quality control of Moslae Herba.

Objective: To establish a selective culture medium screening method for counting viable bacteria from multi-strain microecological preparation based on gene and metabolic pathway analysis, in order to solve the problem of mutual interference in the measurement of counting viable bacteria. Methods: By analyzing the genomic scale metabolic network, the antibiotic sensitivity and resistance of Bacillus cereus, Enterococcus faecalis,Lactobacillus acidophilus, and Bifidobacterium infantis were quickly predicted. Based on the prediction results,suitable types and concentrations of antibiotics with resistance differences among the four microorganisms were screened and added to the culture medium, effectively inhibiting the growth of interfering microorganisms and ensuring accurate and effective counting results. Simultaneously, conventional drug sensitivity experiments results were used to ensure and compare with this method. Results: In the process of viable counting for multi-strain microecological preparation, this method effectively eliminated the interference of Enterococcus faecalis on the counting of Lactobacillus acidophilus live bacteria and the interference of Lactobacillus acidophilus and Enterococcus faecalis on the counting of Bifidobacterium infant, and the counting results were accurate and reliable of each microorganism. Conclusion: The method has strong foresight and specificity. Genomic analysis and metabolic pathway analysis can effectively predict microbial antibiotic resistance, and experimental design based on the predicted results will greatly accelerate experimental efficiency, making the results more predictive and accurate,and has broad application prospects in selective culture medium screening for counting viable bacteria from multi-strain microecological preparation.

Objective: To establish an HPLC method for the simultaneous determination of chlorogenic acid,puerarin, 3’-methoxy puerarin, puerarin apioside, liquiritin, forsythoside A, 3,5-O-dicaffeoylquinic acid,4,5-dicaffeoylquinic acid, forsythin, honokiol and magnolol in Jinlian Quwen capsules. Methods: The analysis was performed on a Waters Atlantis^TM T3 (150 mm×4.6 mm, 3 μm) column, and the mobile phase was comprised of acetonitrile-0.1% phosphoric acid, with the flow rate of 1.0 mL · min^-1 in a gradient elution manner. The column temperature was set at 35 ℃. The injection volume was 4 μL and the UV detection wavelengths were set at 225 nm (detecting forsythin), 250 nm (detecting puerarin, 3’-methoxy puerarin and puerarin apioside), 276 nm(detecting liquiritin), 290 nm (detecting honokiol and magnolol) and 325 nm (detecting chlorogenic acid,3,5-O-dicaffeoylquinic acid, 4,5-dicaffeoylquinic acid and forsythoside A). Results: All the 11 constituents showed good linearity within their detection ranges (r≥0.999 5), whose average recoveries (n=6) were 100.1%-108.1%, with the RSDs of 2.8%-4.1%. The content ranges of 11 components in three batches of samples were 7.505-7.606 mg · g^-1, 3.485-3.920 mg · g^-1, 0.969-1.068 mg · g^-1, 0.837-0.955 mg · g^-1, 1.009-1.436 mg · g^-1,3.037-3.602 mg · g^-1, 5.259-5.371 mg · g^-1, 0.931-1.012 mg · g^-1, 1.428-2.053 mg · g^-1, 0.939-1.018 mg · g^-1 and 2.744-2.827 mg · g^-1, respectively. Conclusion: The method is simple, sensitive and reliable. It can be used as a reference for the establishment of quality standard of Jinlian Quwen capsules.

Objective: To clarify the differences between the “Room temperature” definitions in the European Pharmacopoeia and the Chinese Pharmacopoeia, to emphasize that storage temperature was closely related to the design of long-term stability studies and product labeling, and to investigate the effects of storage temperature variations on the critical quality attributes (CQAs) of terlipressin for injection, so as to raise awareness among generic drug manufacturers regarding this critical issue. Methods: Given the discrepancies in storage temperature recommendations across different manufacturers’ product inserts, the original drug’s long-term stability studies and storage conditions were traced. Validated methods for related substances and polymer content were employed to assess the impact of temperature differences on the product’s CQAs. Results: Samples stored at 30 ℃exhibited a significantly higher increase in related substances compared to those stored at 15 ℃. In one manufacturer’s product, polymer levels exceeded specification limits within just five months of storage at 30 ℃. The divergence among manufacturers stems from some companies misinterpreting the original drug’s labeling by directly translating without considering the differences between Chinese and European Pharmacopoeias. Conclusion: Storage temperature has a significant impact on the levels of related substances and polymer content in terlipressin for injection. To ensure product quality, the storage temperature in the labeling should be restricted to “not exceeding 25 ℃.”