CAJ | 학술논문

中药提取物是一个组成复杂、机理不明晰的混合物体系，其对靶标的作用是其中所有化合物的综合影响，如何表征和评价其生物活性值得深入研究。本文采用羟丙基葡聚糖凝胶色谱柱分离西青果乙醇提取物，得到29组成分连续变化的样品，采集样品的色谱信息（254 nm 波长下）与活性信息，运用逐步回归法建立成分的峰面积（ Vi，自变量）与活性（以对酶的抑制率（W）表示，因变量）之间的数学方程，确定对活性影响显著的成分。结果表明，29组样品包含55个峰，这些峰对应成分的峰面积（ Vi，i ＝1，2，…，55）与 W 之间存在数学关系：W ＝ V7×（-0.034±0.013）＋V18×（-0.155±0.051）＋V29×（-0.142±0.028）＋V4×（0.079±0.020）＋V11×（0.074±0.028）＋V36×（-0.117±0.053）＋85.669±4.476，复相关系数 R ＝0.854，显著度＝0.037，稳健性良好，对活性影响最显著的物质为第18、29、36、4、11和7号峰对应的化合物。该方法同样适用于不同中药资源的成分与多种不同活性等方面的研究，对于中药的研发具有重要意义。
중약제취물시일개조성복잡、궤리불명석적혼합물체계，기대파표적작용시기중소유화합물적종합영향，여하표정화평개기생물활성치득심입연구。본문채용간병기포취당응효색보주분리서청과을순제취물，득도29조성분련속변화적양품，채집양품적색보신식（254 nm 파장하）여활성신식，운용축보회귀법건립성분적봉면적（ Vi，자변량）여활성（이대매적억제솔（W）표시，인변량）지간적수학방정，학정대활성영향현저적성분。결과표명，29조양품포함55개봉，저사봉대응성분적봉면적（ Vi，i ＝1，2，…，55）여 W 지간존재수학관계：W ＝ V7×（-0.034±0.013）＋V18×（-0.155±0.051）＋V29×（-0.142±0.028）＋V4×（0.079±0.020）＋V11×（0.074±0.028）＋V36×（-0.117±0.053）＋85.669±4.476，복상관계수 R ＝0.854，현저도＝0.037，은건성량호，대활성영향최현저적물질위제18、29、36、4、11화7호봉대응적화합물。해방법동양괄용우불동중약자원적성분여다충불동활성등방면적연구，대우중약적연발구유중요의의。
The extracts from Chinese herbs are complex compounds with uncertain mechanism, which affects the target with all ingredients. Therefore,it is of great importance to evaluate the bioactivity of these extracts. In this study,29 samples which had continuous variation of constitu-ents were obtained from the alcohol extract of Terminalia chebula Retz. by a Sephadex LH-20 size exclusion chromatographic column. After detecting the chromatographic information of detection wavelength at 254 nm and the activity information of these samples,the mathematical relationship equation was established to determine the impact on the active components. Step-wise regression method was used to research the relationship between the peak areas(V i,inde-pendent variables)of the compositions in the samples and activities(according to the enzyme inhibition(W),dependent variables). The results showed that there were 55 chromatographic peaks in the samples and the mathematical relationship between the compositions of Terminalia chebula Retz. extract(V i ,i = 1,2,…,55)and activities was certain. The expression was:W =V7 ×(-0. 034±0. 013)+V18 ×(-0. 155±0. 051)+V29 ×( -0. 142±0. 028)+V 4 ×(0. 079±0. 020)+V 11 ×(0. 074± 0. 028)+V36 ×( -0. 117±0. 053)+85. 669±4. 476,multiple correlation coefficient R = 0. 854,signifi-cance level(Sig. F change)= 0. 037. The steadiness of model was favorable with new digital infor-mation. The compounds corresponding to 18 th ,29 th ,36 th ,4 th ,11 th and 7 th peaks were the main active compounds. The method can be also applied to the relationship between a wide variety of components of traditional Chinese medicine resources and different kinds of activities. It is signif-icant to the research and development of traditional Chinese medicine.