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Study on the correlation between the appearance characteristics and the contents of internal index components in agarwood*

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  • 1. School of Pharmacy, Guangdong Pharmaceutical University, Guangzhou 510006, China;
    2. Institute of Microbiology, Guangdong Academy of Sciences, State Key Laboratory of Applied Microbiology Southern China, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, Guangzhou 510070, China;
    3. Guangdong Institute for Drug Control Guangdong, Hong Kong-Macao Greater Bay Area Key Laboratory of Traditional Chinese Medicine Quality Standards, Guangzhou 510663, China;
    4. Zhuhai United Laboratories Co.,Ltd., Zhuhai 519040, China;
    5. Zhejiang Rongjun Hospital, Jiaxing 314001, China

Revised date: 2023-01-16

  Online published: 2024-06-24

Abstract

Objective: To digitize the appearance characteristics of agarwoodand study its correlation with the internal index components of agarwood. Methods: OpenCV was used to measure the characteristic value of agarwood color. The specific density of agarwood was measured by drainage method, and ImageJ software measured the resin area of agarwood and calculated its proportion of agarwood resin content. The content of ethanol-soluble extract and agarotetrol were determined according to those correlative standards of Chinese Pharmacopoeia (2020 Version). Entropy method was used to comprehensively score the internal components, and analyze the correlation between the comprehensive score and the appearance traits. Results: The content of ethanol-soluble extract was significantly positively correlated with specific density and proportion of agarwood resin content (P<0.01), positively correlated with R3 color channel value (P<0.05), negatively correlated with R5 and G4 color channel value (P<0.05). The content of agarotetrol was positively correlated with G4 and B3 color channel value(P<0.05), and was negatively correlated with G1 color channel value(P<0.05). The comprehensive score was positively correlated with specific density(P<0.05), was significantly positively correlated with proportion of agarwood resin content(P<0.01). Conclusion: The traditional classification based on specific density and the proportion of agarwood resin content is scientific, and the quantification of appearance characteristics can provide a powerful supplement for the quality evaluation system of agarwood.

Cite this article

ZHU Peng-jian, WU Sheng-hong, LIU Zi-wei, DENG Shi-min, LI-Hua, HONG Tong-yi, CHEN Xiao-ying, ZHANG Wei-min, GAO Xiao-xia . Study on the correlation between the appearance characteristics and the contents of internal index components in agarwood*[J]. Chinese Journal of Pharmaceutical Analysis, 2023 , 43(3) : 531 -542 . DOI: 10.16155/j.0254-1793.2023.03.21

References

[1] 中华人民共和国药典2020年版.一部[S]. 2020:192
ChP 2020.Vol Ⅰ [S]. 2020:192
[2] 傅立国.中国植物红皮书―稀有濒危植物[M]. 北京:科学出版社,1992:670
FU LG. China Plant Red Data Book: Rare and Endangered Plants [M]. Beijing: Science Press,1992:670
[3] 樊云飞,董雷,周欣,等.甲酸结合不同真菌诱导形成的人工沉香质量评价研究[J]. 药物分析杂志,2016,36(9):1544
FAN YF, DONG L, ZHOU X, et al. Quality evaluation of artificial agarwood induced by formic acid stimulation combined with different fungal inoculation[J]. Chin J Pharm Anal, 2016,36(9):1544
[4] GAO XX, XIE MR, LIU SF, et al. Chromatographic fingerprint analysis of metabolites in natural and artificial agarwood using gas chromatography-mass spectrometry combined with chemometric methods[J]. J Chromatogr B,2014,967:264
[5] Liu YY, Wei JH, Gao ZH, et al. A review of quality assessment and grading for agarwood[J]. Chin Herb Med, 2017, 9(1): 22
[6] 吴泽青,李智,孔静怡,等.不同树龄对火烫法所得沉香的质量比较研究[J]. 时珍国医国药,2019,30(9):2255
WU ZQ, LI Z, KONG JY, et al. Quality evaluation of agarwood samples by burning-chisel drilling method on different ages of Aqularia sinensis (Lour.) Gilg Trees[J]. Lishizhen Med Mater Med Res, 2019,30(9):2255
[7] 宋晓琛,王西洋,杨光,等.无机盐与激素混合对土沉香结香的诱导[J]. 林业科学,2020,56(8):121
SONG XC, WANG XY, YANG G, et al. Mechanism of agarwood formation under the induction of both inorganic salts and hormones[J]. Sci Silv Sin, 2020,56(8):121
[8] CHEN XY, SUI C, LIU YY, et al. Agarwood formation induced by fermentation liquid of lasiodiplodia theobromae, the dominating fungus in wounded wood of Aquilaria sinensis[J]. Curr Microbiol, 2017, 74(4): 460
[9] 周欣,樊云飞,雷智东,等.人工沉香中白木香酸与浸出物含量的相关性 [J]. 中国实验方剂学杂志,2016,22(11):55
ZHOU X, FANG YF, LEI ZD, et al. Correlation Between Agaropiric Acid and Extract Contents in Artificial Aquilariae Lignum Resinatum[J]. Chin J Exp Tradit Med Form 2016,22(11):55
[10] 谢宗万.中药品种传统经验鉴别:“辨状论质”论[J]. 时珍国医国药,1993,5(3):19
XIE ZW. The theory of “discriminating form from quality” in the transmission of Chinese medicine[J]. Lishizhen Med Mater Med Res, 1993,5(3):19
[11] 张贵君.中药商品学[M]. 北京:北京人民卫生出版社,2002:205
ZHANG GJ. Traditional Chinese Drug Commoditylogy[M]. Beijing: People & Apos; s Medical Publishing House, 2002:205
[12] 尚丽丽,陈媛,晏婷婷,等.沉香的化学成分和品质评价研究进展[J]. 木材工业,2018,32(3):29
SHANG LL, CHEN Y, YAN TT, et al. Review for chemical components and quality assessment on agarwood[J]. Intan Andalas, 2018,32(3):29
[13] 卓金勋.天然沉香分级方法的探究[J]. 质量技术监督研究,2017,(3):48
ZHUO JX. Study on classification method of natural agarwood[J]. Qual Tech Sup Res, 2017,(3):48
[14] 钱丹丹,周金海.基于计算机视觉的中药饮片检测与分级研究[J]. 时珍国医国药,2019,30(1):203
QIAN DD, ZHOU JH. Study on detection and grading of Chinese herbal pieces based on computer vision[J]. Lishizhen Med Mater Med Res, 2019,30(1):203
[15] 谢树莹,周明,周金海,等.基于OpenCV的中药饮片“辨色”识别研究[J]. 时珍国医国药,2018,29(2):510
XIE SY, ZHOU M, ZHOU JH, et al. Research of OpenCV-based recognition system of herbal decoction pieces[J]. Lishizhen Med Mater Med Res, 2018,29(2):510
[16] 林权虹,陈胧,田地,等.植物比叶面积量化:Image J软件法与打孔称重法的比较[J]. 首都师范大学学报(自然科学版),2022,43(1):48
LIN QH, CHEN L, TIAN D, et al. Plant specific leaf area:comparison of ImageJ software method and disc method[J]. J Cap Normal Univ(Nat Sci),2022,43(1):48
[17] 黎晨,拜思琼,赵晋,等.ImageJ软件在医学科研领域中的应用研究现况[J]. 甘肃科技,2020,36(2):58
LI C, BAI SQ, ZHAO J, et al. Application of ImageJ software in medical scientific research[J]. Gansu Sci Technol, 2020,36(2):58
[18] 林晓冬,程艳玲.ImageJ在胃溃疡模型量化分析中的应用[J]. 食品与药品,2017,19(5):334
LIN XD, CHENG YL. Application of imageJ in quantitative analysis of gastric ulcer model[J]. Food Drug, 2017,19(5):334
[19] 中华人民共和国药典2020年版.四部[S]. 2020:114,232
ChP 2020. Vol Ⅳ [S]. 2020:114,232
[20] 王星星,李淼,康小东,等.基于信息熵赋权法优化哮喘方醇提工艺[J]. 中成药,2017,39(7):1391
WANG XX, LI M, KANG XD, et al. Optimization of ethanol extraction for Xiaochuan decoction based on information entropy weighting method[J]. Chin Tradit Pat Med, 2017,39(7):1391
[21] 海南省质量技术监督局. 沉香质量等级[S]. 2017:422
Hainan Provincial Bureau of Quality and Technical Supervision. Quality Grade of Agarwood[S]. 2017:422
[22] KAO WY, HSIANG CY, HO SC, et al. Chemical profiles of incense smoke ingredients from agarwood by headspace gas chromatography-tandem mass spectrometry[J]. Molecules, 2018, 23(11): 2969
[23] 李远彬,王羚郦,邓幸运,等.沉香的醇浸出物和沉香四醇含量测定及品质分类[J]. 中国实验方剂学杂志,2017,23(15):70
LI YB, WANG LL, DENG XY, et al. Investigating and exploring content of alcohol soluble extractives and agarotetrol in agarwood and its quality classification method[J]. Chin J Exp Tradit Med Form, 2017,23(15):70
[24] 陈宏降,张争,魏建和,等.中药沉香品质评价研究进展[J]. 中国医药导报,2011,8(26):8
CHEN HJ, ZHANG Z, WEI JH, et al. Advances in studies on quality evaluation of Eaglewood[J]. Chin Med Her, 2011,8(26):8
[25] 张永亮,宋吉莲,毕春喜,等.沉香、降香、檀香的真伪鉴别[J]. 时珍国医国药,2003,14(10):619
ZHANG YL, SONG JL, BI CX, et al. Authenticity identification of agarwood, incense and sandalwood[J]. Lishizhen Med Mater Med Res, 2003, 14(10):619
[26] 高慧,王新杰,王英姿,等.基于表里量化关联的酒当归有效成分与表观颜色相关性研究[J]. 中国中医药信息杂志,2020,27(11):71
GAO H, WANG XJ, WANG YZ, et al. Study on correlation between active components and apparent color of wine fried angelica sinensis based on quantitative correlation between exterior and interior[J]. Chin J Inf Tradit Chin Med, 2020,27(11):71
[27] AMIN MRM, BEJO SK, MASHOHOR S, et al. Colour extraction of agarwood images for fuzzy C-means classification[J]. Walailak J Sci Tech, 2012,9(4):445
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