Study on enrichment characteristics of Chinese herbal medicine based on LIBS technology

Abstract

To improve the accuracy of laser induced breakdown spectroscopy (LIBS) measurement and investigate the enrichment characteristics of trace elements in different parts of Chinese herbal medicine, the original spectral data of different Chinese herbal medicines were preprocessed by combining median absolute deviation (MAD), segmented feature extraction, and wavelet denoising, and the enrichment laws of trace elements in different parts of Chinese herbal medicine were studied based on the calibration free laser induced breakdown spectroscopy (CF-LIBS). For these experimental samples, the contents of K, Ca, Mg, and Fe in chrysanthemum and its roots, stems, and leaves, Iris lactea roots and leaves, Salvia miltiorrhiza and corresponding planting soil were obtained by CF-LIBS. By calculating the element enrichment coefficient, it was found that chrysanthemum had strong enrichment ability of K element, and the enrichment ability of K element was flower > leaf > stem > root. The roots and leaves of Iris lactea showed strong enrichment of Ca and Mg. The enrichment ability for Ca is leaf > root, and for Mg is leaf > root. The enrichment coefficient of Ca and Mg in Salvia miltiorrhiza is higher. The results show that the combination of multiple data preprocessing methods can effectively improve the accuracy of LIBS measurement results. The calculation method of trace element enrichment law in different parts of Chinese herbal medicines provides guidance for the cultivation and fertilization of Chinese herbal medicines and the identification of high-quality Chinese herbal medicines.

References

[1] QinJ F. Trace element research in Chinese medicine IV. Trace elements: a bridge between traditional Chinese medicine theory and modern scientific theory [J]. Guangdong trace element science, 2011, 18(02):1-13(in Chinese)

[2] LianB G, DengZ, LanX S, et al.. Development in the application of laser-induced breakdown spectroscopy in recent years: a review[J]. Frontiers of physics, 2021, 16(2):27-36

[3] OttesenD, WangJ, RadziemskiL. Real-time laser spark spectroscopy of particulates in combustion environments[J]. Applied spectrochimica acta part B: atomic spectroscopy, 2013, 86(6):31-41

[4] LawleyC J M, SomersA M, KjarsgaardB A. Rapid geochemical imaging of rocks and minerals with handheld laser induced breakdown spectroscopy (LIBS)[J]. Journal of geochemical exploration, 2021, 222(12):52-57

[5] AlvarezC, PisoneroJ, BordelN. Quantification of fluotite mass-content in powdered ores using a laser induced breakdown spectroscopy method based on the detection of minor elements and CaF molecular bands[J]. Spectrochimica acta part B: atomic spectroscopy, 2014, 100: 123-128

[6] LiX, YangS, FanR, et al.. Discrimination of soft tissues using laser-induced breakdown spectroscopy in combination with k nearest neighbors (kNN) and support vector machine (SVM) classifiers[J]. Optics & laser technology, 2018, 102(15):233-239

[7] LiuX N, WangX B, CheX Q, et al.. The application and research progress of LIBS technology in the rapid evaluation of Chinese medicine quality[J]. World science and technology-modernization of Chinese medicine, 2020, 22(04):1262-1269(in Chinese)

[8] ShenT, LiW, ZhangX, et al.. High-sensitivity determination of nutrient elements in panax notoginseng by laser-induced breakdown spectroscopy and chemometric methods[J]. Molecules, 2019, 24(8):1525

[9] ZhaoY, ZhuS, JuanH E, et al.. Identification of fritillaria thunbergii treated by sulfur fumigation using laser-induced breakdown spectroscopy[J]. Spectroscopy and spectral analysis, 2018, 38(11): 3558

[10] XuX J, WangX S, LiA Z, et al.. Fast classification of tea varieties based on laser-induced breakdown spectroscopy[J]. Chinese journal of lasers, 2019, 46(3): 0311003

[11] FengT, ZhangX, LiM, et al.. Pollution risk estimation of the Cu element in atmospheric sedimentation samples by laser induced breakdown spectroscopy (LIBS) combined with random forest (RF)[J]. Analytical methods, 2021, 13(30): 3424-3432

[12] WangJ, LiaoX, ZhengP, et al.. Classification of Chinese herbal medicine by laser-induced breakdown spectroscopy with principal component analysis and artificial neural network[J]. Analytical letters, 2018, 51(4):575-586

[13] WangY, SuM, SunD, et al.. Comparative study of magnesium and calcium in Codonopsis pilosula samples detected by CF-LIBS and LCGD-AES[J]. Micro-chemical journal, 2018, 137: 318-323

[14] AldakheelR K, GondalM A, NasrM M, et al.. Quantitative elemental analysis of nutritional, hazardous and pharmacologically active elements in medicinal Rhatany root using laser induced breakdown spectroscopy[J]. Arabian journal of chemistry, 2021, 14(2):102919

[15] YanJ, XieS K, LiuR P, et al.. Distribution and enrichment of nutrients in different parts of woad and horse bluestem based on trace element analysis[J]. World nuclear geoscience, 2020, 37(3): 215-218(in Chinese)

[16] LvJ L, WangM, RenY, et al.. Study on the distribution pattern of 13 elements in multiple parts of bitter bamboo[J]. Journal of pharmaceutical analysis, 2019, 39(3):426-431(in Chinese)

[17] YANG Y, SHI J Y, LI M, et al. Study on the phenolic chemical composition of the stems and leaves of Huai Chrysanthemum[J]. Chinese medicinal materials, 2022, (04): 872–875. (in Chinese)

[18] LI Y F, YANG P Y, LUO Y H, et al. Chemical compositions of commercial chrysanthemum tea samples and their anti-inflammatory and antioxidant properties[J]. Abstracts of papers of the American Chemical Society, 2019: 258.

[19] ChenD, MengY, ZhuY, et al.. Qualitative and quantitative analysis of C-glycosyl-flavones of iris lactea leaves by liquid chromatography/tandem mass spectrometry[J]. Molecules (Basel, Switzerland), 2018, 23(12):30567397

[20] LiH, WangH, ZhangS, et al.. Study on energy threshold and spectral characteristics with spot radius based on LIBS technology[J]. Optoelectronics letters, 2021, 17(9): 558-563