Application of near-infrared spectroscopy in detection of steroids adulteration in traditional Thai medicines
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Abstract
This study aimed to focus on applying near-infrared (NIR) spectroscopy to identify the adulteration of traditional Thai medicine products (TTM) with steroids. One hundred and ten samples were prepared with pure TTM and ten different steroid concentrations (0.25-5 mg steroid/g TTM). Fourier transform near-infrared (FT-NIR) spectrometer was used to scan TTM samples. The partial least squares (PLS) regression was used for the NIR spectroscopic model development to predict the level of steroid adulteration in TTM. For classification analysis, the principal component analysis (PCA) was used to discriminate 11 groups of raw TTM spectra (220 spectra). The developed PLS model accompanied by 3 latent variables (LVs) could predict the steroid content in TTM accurately with the coefficient of determination of prediction (r2) of 98.20%, root mean square error of prediction (RMSEP) of 0.22 mg steroid/g TTM, and residual prediction deviation (RPD) of 7.46. Furthermore, the PCA approach was possible to discriminate among the groups of TTM. The study showed NIR spectroscopy's capability to be used as a powerful technique to evaluate the steroid adulterated in TTM. This report is useful for food and drug association, patients, pharmaceuticals, and medical sectors.
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References
Iqbal AM, Jamal SF. Essential hypertension. Treasure Island: StatPearls Publishing; 2021.
Neamsuvan O, Komonhiran P, Boonming K. Medicinal plants used for hypertension treatment by folk healers in Songkhla province, Thailand. J Ethnopharmacol. 2018;25;214:58-70.
Raman R. 10 Herbs That May Help Lower High Blood Pressure [Internet]. 2020 [cited 2021 Jun 25]. Available from: https://www.healthline.com/nutrition/herbs-to-lower-blood-pressure.
Khazan M, Hedayati M, Askari S, Azizi F. Adulteration of products sold as Chinese herbal medicines for weight loss with thyroid hormones and PCP. J Herbal Med. 2013;3(1):39-43.
Kwankhao P, Chuthaputti A, Tantipidok Y, Pathomwichaiwat T, Theantawee W, Buabao S, et al. The current situation of the herbal medicinal product system in Thailand. J Health Sci. 2020;29:82-95.
Puripattanavong J. Determination of prednisolone and dexamethasone in traditional Thai medicines. Songklanakarin J Sci Technol. 1995;17:187-93.
Arandorn D, Saelim S, Vitchayavoranan S, Klaysatit A, Dej-adisai S. Study on adulteration of steroid, prednisolone and dexamethasone in traditional Thai medicines in Hat-Yai Songkhla. ASEAN J Sci Technol Rep. 2010;13:20-30.
Klinsunthorn N, Petsom A, Nhujak T. Determination of steroids adulterated in liquid herbal medicines using QuEChERS sample preparation and high-performance liquid chromatography. J Pharm Biomed Anal. 2011;55(5):1175-8.
Taira E, Nakamura S, Hiyane R, Honda H, Ueno M. Development of a nondestructive measurement system for mango fruit using near infrared spectroscopy. Eng Appl Sci Res. 2017;44(3):189-92.
Li T, Su C. Authenticity identification and classification of Rhodiola species in traditional Tibetan medicine based on Fourier transform near-infrared spectroscopy and chemometrics analysis. Spectrochim Acta A Mol Biomol Spectrosc. 2018;204:131-40.
Jintao X, Yongli S, Liming Y, Quanwei Y, Chunyan L, Xingyi C, et al. Near-infrared spectroscopy for rapid and simultaneous determination of five main active components in rhubarb of different geographical origins and processing. Spectrochim Acta A Mol Biomol Spectrosc. 2018;205:419-27.
Raghavachari R. Near-infrared applications in biotechnology. USA: CRC Press; 2001.
Roggo Y, Chalus P, Maurer L, Lema-Martinez C, Edmond A, Jent N. A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharmaceut Biomed Anal. 2007;44(3):683-700.
Udompetaikul V, Phetpan K, Sirisomboon P. Development of the partial least-squares model to determine the soluble solids content of sugarcane billets on an elevator conveyor. Measurement. 2021;167:107898.
Nawi NM, Chen G, Jensen T. Visible and shortwave near infrared spectroscopy for predicting sugar content of sugarcane based on a cross-sectional scanning method. J Near Infrared Spectros. 2013;21(4):289-97.
Ho CSH, Lim LJH, Lim AQ, Chan NHC, Tan RS, Lee SH, et al. Diagnostic and predictive applications of functional near-infrared spectroscopy for major depressive disorder: a systematic review. Front Psychiatry. 2020;11:378.
Husain SF, Yu R, Tang TB, Tam WW, Tran B, Quek TT, et al. Validating a functional near-infrared spectroscopy diagnostic paradigm for Major Depressive Disorder. Sci Rep. 2020;10:9740.
Husain SF, Tang TB, Yu R, Tam WW, Tran B, Quek TT, et al. Cortical haemodynamic response measured by functional near infrared spectroscopy during a verbal fluency task in patients with major depression and borderline personality disorder. EBioMedicine. 2019;23(51):102586.
Broad NW, Jee RD, Moffat AC, Smith MR. Application of transmission near-infrared spectroscopy to uniformity of content testing of intact steroid tablets. Analyst. 2001;126(12):2207-11.
Haughey SA, Graham SF, Cancouet E, Elliott CT. The application of near-infrared reflectance spectroscopy (NIRS) to detect melamine adulteration of soya bean meal. Food Chem. 2013;136(3-4):1557-61.
Dong WJ, Ni YN, Kokot S. Quantitative analysis of two adulterants in Cynanchum stauntonii by near-infrared spectroscopy combined with multi-variate calibrations. Chem Pap. 2012;66:1083-91.
Ozdemir D, Ozturk B. Near-infrared spectroscopic determination of olive oil adulteration with sunflower and corn oil. J Food Drug Anal. 2007;15(1):40-7.
Homhual S. Method to make bolus-herbal medicine [Internet]. 2012 [cited 2021 Jun 25]. Available from: http://www.phargarden.com/attachments/article-20121218200417.pdf. (In Thai)
Williams, P. Near-infrared technology-getting the best out of light, a short course in the practical implementation of near-infrared spectroscopy for the user. 2nd ed. Canada: PDK Grain; 2007.
Osborne BG, Fearn T. Near infrared spectroscopy in food analysis. Encyclopedia of analytical chemistry. London: Longman Science and Technical; 1986.
Otto M. Chemometrics: statistics and computer application in analytical chemistry. 3rd ed. New York: Wiley-VCH; 2017.
Phetpan K, Udompetaikul V, Sirisomboon P. Informative selection of spectra obtained from an online sugar content prediction system of sugarcane by using statistical index. Thai Soc Agr Eng J. 2019;25(2):19-27.