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238 related items for PubMed ID: 36119610
1. Rapid determination of the total content of oleanolic acid and ursolic acid in Chaenomelis Fructus using near-infrared spectroscopy. Ming J, Liu M, Lei M, Huang B, Chen L. Front Plant Sci; 2022; 13():978937. PubMed ID: 36119610 [Abstract] [Full Text] [Related]
4. Determination of zinc oxide content of mineral medicine calamine using near-infrared spectroscopy based on MIV and BP-ANN algorithm. Zhang X, Chen L, Sun Y, Bai Y, Huang B, Chen K. Spectrochim Acta A Mol Biomol Spectrosc; 2018 Mar 15; 193():133-140. PubMed ID: 29223458 [Abstract] [Full Text] [Related]
8. Near-infrared Spectroscopy as a Process Analytical Technology Tool for Monitoring the Parching Process of Traditional Chinese Medicine Based on Two Kinds of Chemical Indicators. Li K, Wang W, Liu Y, Jiang S, Huang G, Ye L. Pharmacogn Mag; 2017 Mar 15; 13(50):332-337. PubMed ID: 28539730 [Abstract] [Full Text] [Related]
12. [Application of near infrared spectroscopy combined with particle swarm optimization based least square support vactor machine to rapid quantitative analysis of Corni Fructus]. Liu XS, Sun FF, Jin Y, Wu YJ, Gu ZX, Zhu L, Yan DL. Yao Xue Xue Bao; 2015 Dec 15; 50(12):1645-51. PubMed ID: 27169290 [Abstract] [Full Text] [Related]
17. Near-infrared spectroscopy for rapid and simultaneous determination of five main active components in rhubarb of different geographical origins and processing. Jintao X, Yongli S, Liming Y, Quanwei Y, Chunyan L, Xingyi C, Yun J. Spectrochim Acta A Mol Biomol Spectrosc; 2018 Dec 05; 205():419-427. PubMed ID: 30048943 [Abstract] [Full Text] [Related]
18. Rapid Determination of Chlorogenic Acid, Luteoloside and 3,5-O-dicaffeoylquinic Acid in Chrysanthemum Using Near-Infrared Spectroscopy. Xia Z, Sun Y, Cai C, He Y, Nie P. Sensors (Basel); 2019 Apr 28; 19(9):. PubMed ID: 31035325 [Abstract] [Full Text] [Related]
19. A Versatile Method for Quantitative Analysis of Total Iron Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy. Su P, Wu X, Li C, Yan C, An Y, Liu S. Appl Spectrosc; 2023 Feb 28; 77(2):140-150. PubMed ID: 36348501 [Abstract] [Full Text] [Related]
20. Prediction of drug content and hardness of intact tablets using artificial neural network and near-infrared spectroscopy. Chen Y, Thosar SS, Forbess RA, Kemper MS, Rubinovitz RL, Shukla AJ. Drug Dev Ind Pharm; 2001 Aug 28; 27(7):623-31. PubMed ID: 11694009 [Abstract] [Full Text] [Related] Page: [Next] [New Search]