표준 요 시료 중 Oxalate의 측정을 위한 FT-NIR 분광기의 유용성 검정

Evaluation of Fourier Transform Near-infrared Spectrometer for Determination of Oxalate in Standard Urinary Solution

  • 김영은 (경북대학교 의학전문대학원 예방의학교실) ;
  • 홍수형 (경북대학교 치의학전문대학원 구강미생물학교실) ;
  • 김정완 (경북대학교 치의학전문대학원 구강미생물학교실) ;
  • 이종영 (경북대학교 의학전문대학원 예방의학교실)
  • Kim, Yeong-Eun (Department of Preventive Medicine, School of Medicine, Kyungpook National University) ;
  • Hong, Su-Hyung (Department of Dental Microbiology, School of Dentistry, Kyungpook National University) ;
  • Kim, Jung-Wan (Department of Dental Microbiology, School of Dentistry, Kyungpook National University) ;
  • Lee, Jong-Young (Department of Preventive Medicine, School of Medicine, Kyungpook National University)
  • 발행 : 2006.03.01

초록

Objectives : The determination of oxalate in urine is required for the diagnosis and treatment of primary hyperoxaluria, idiopathic stone disease and various intestinal diseases. We examined the possibility of using Fourier transform near-infrared (FT-NIR) spectroscopy analysis to quantitate urinary oxalate. The practical advantages of this method include ease of the sample preparation and operation technique, the absence of sample pre-treatments, rapid determination and noninvasiveness. Methods : The range of oxalate concentration in standard urine solutions was $0-221mg/{\ell}$. These 80 different samples were scanned in the region of 780-1,300 nm with a 0.5 nm data interval by a Spectrum One NTS FT-NIR spectrometer. PCR, PLSR and MLR regression models were used to calculate and evaluate the calibration equation. Results : The PCR and PLSR calibration models were obtained from the spectral data and they are exactly same. The standard error of estimation (SEE) and the % variance were $10.34mg/{\ell}$ and 97.86%, respectively. After full cross validation of this model, the standard error of estimation was $5,287mg/{\ell}$, which was much smaller than that of the pre-validation. Furthermore, the MCC (multiple correlation coefficient) was 0.998, which was compatible with the 0.923 or 0.999 obtained from the previous enzymatic methods. Conclusions : These results showed that FT-NIR spectroscopy can be used for rapid determination of the concentration of oxalate in human urine samples.

키워드

참고문헌

  1. Kim HH. Treatment and prognosis of urinary calculosis. Med Postgrad 2004; 32(3): 175-180 (Korean)
  2. Nguyen QV, Kalin A, Drouve U, Casez JP, Jaeger P. Sensitivity to meat protein intake and hyperoxaluria in idiopathic calcium stone formers. Kidney Int 2001 ;59(6): 2273-81 https://doi.org/10.1046/j.1523-1755.2001.00744.x
  3. Shekarriz B, Stoller ML. Uric acid nephrolithiasis: Current concepts and controversies. J Urol 2002; 168(4): 1307-1314 https://doi.org/10.1016/S0022-5347(05)64439-4
  4. Finlayson B, Reid F. The expectation of free and fixed particles in urinary stone disease. Invest Urol 1978; 15: 442-448
  5. Decastro M. Determination of oxalate in urine. J Pharm Biomed Anal 1988;6:1-14 https://doi.org/10.1016/0731-7085(88)80024-4
  6. Chandran P, Thakur M, Pundir C. Improved determination of urinary oxalate with alkylamine glass bound barley oxalate oxidase. J Biotechnol 2001; 85: 1-5 https://doi.org/10.1016/S0168-1656(00)00321-7
  7. Sugiura M, Yamamura H, Hirano K, Ito Y, Sasaki M, Morikawa M, Inoue M, Tsuboi M. Enzymic determination of serum oxalate. Clin Chim Aeta 1980; 105: 393-399 https://doi.org/10.1016/0009-8981(80)90121-7
  8. Pundir CS, Satyapal, Kuchhal NK. Immunobilization of barley oxalate oxidase onto alkylamine glass for determining urinary oxalate. Clin Chem 1993; 39: 1750-1751
  9. Cytron S, Kravchick S, Sela BA, Shulzinger E, Vasserman I, Raichlin Y, Katzir A. Fiberoptic infrared spectroscopy: A novel tool for the analysis of urine and urinary salts in situ and in realtime. Urology 2003; 1:231-235
  10. Liu W. Xu K. Yu Q. Zhang S. Ran D. Determination of multiple components in urine using FT-MIR, NIR, and FT-Raman spectroscopic technique. Proe SPIE 2005; 5640: 610-615
  11. Valyi-Nagy I, Kaftka KJ, Jako JM, Gonczol E, Domjan G. Application of near infrared spectroscopy to the determination of haemoglobin. Clin Chim Aeta 1997; 264: 117-125 https://doi.org/10.1016/S0009-8981(97)00085-5
  12. Walder FT, Smith MJ. Quantitative aspects of near-infrared Fourier transform Raman spectroscopy. Spectrochim Acta 1991; 47A: 1202-1216
  13. Hall JW, Pollard A. Near-infrared spectrophotometry: a new dimension in clinical chemistry. Clin Chem 1992; 38: 1623-1631
  14. Kirsch JD, Drennen JK. Determination of film-coated tablet parameters by near-infrared spectroscopy. J Pharm Biomed Anal 1995; 13: 1273-1281 https://doi.org/10.1016/0731-7085(95)01562-Y
  15. Weyer L. Near infrared spectroscopy of organic substances. Appl Spectrosc Rev 1985; 21: 1-43 https://doi.org/10.1080/05704928508060427
  16. Chung IL, Kim HJ. Near-infreard sepctroscopy: principles. Anal Sci Tech 2000; 13(1): 1A-14A (Korean)
  17. Shaw RA, Kotowich S, Mantsch HH, Leroux M. Quantitation of protein, creatinine, and urea in urine by near-infrared spectroscopy. Clin Biochem 1996; 29: 11-19 https://doi.org/10.1016/0009-9120(95)02011-X
  18. Hall JW, Pollard A. Near-infrared spectroscopic determination of serum total proteins, albumin, globulins, and urea. Clin Biochem 1993; 26: 483-490 https://doi.org/10.1016/0009-9120(93)80013-K
  19. Peuchant E, Salles C, Jensen R. Value of a spectroscopic 'fecalogram' in determining the etiology of steatorrhea. Clin Chem 1988; 34: 5-8
  20. Jobsis FF. Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. Science 1977; 198: 1264-1267 https://doi.org/10.1126/science.929199
  21. McCormick DC, Edwards AD, Brown GC, Wyatt JS, Potter A, Cope M, Delpy DT, Reynolds EO. Effect of indomethacin on cerebral oxidized cytochrome oxidase in preterm infants. Pediatr Res 1993; 33: 603-608 https://doi.org/10.1203/00006450-199306000-00015
  22. Elia M, Parkinson SA, Diaz E. Evaluation of near infra-red interactance as a method for predicting body composition. Eur J Clin Nutr 1990; 44: 113-121
  23. Small GW, Arnold MA, Marquardt LA. Strategies for coupling digital filtering with partial least-squares regression: application to the determination of glucose in plasma by Fourier transform near-infrared spectroscopy. Anal Chem 1993; 65: 3279-3289 https://doi.org/10.1021/ac00070a019
  24. Workman JJ, Review of process and noninvasive Near-Infrared and Infrered sepctroscopy: 1993-1999. Appl Spectroscop Rev 1999; 34: 1-89 https://doi.org/10.1081/ASR-100100839
  25. Chang SH, Cho CH. Woo YA, Kim HJ, Kim YM, Lee KB, Kim YW, Park SW. Fundamental investigation of non-invasive determination of alcohol in blood by near infrared spectrophotometry. Anal Sci Tech 1999; 12: 375-381 (Korean)
  26. Kim HJ, Woo YA, Chang SH, Cho CH, Cantrell K, Piepmeier EH. Fundamental investigation of non-invasive determination of glucose by near infrared spectrophotometry. Anal Sci Tech 1998; 11: 47-53 (Korean)
  27. Jeon KJ, Kim YJ, Kim SJ, Kim HS, Yoon GW. Selected papers from sensors conference 2000 : Spectral analysis for non - invasive total hemoglobin measurement in the region from 400 to 2500 nm. J Kor Sensors Soc 2001; 10: 273-278 (Korean)
  28. Thakur M, Pundir CS. Determination of urinary oxalate with alkylamine glass-bound sorghum oxalate oxidase and horseradish peroxidase, Biotechnol Tech 1999; 13: 227-230 https://doi.org/10.1023/A:1008938311020
  29. Robertson WG. Kidney models of calcium oxalate stone formation. Nephron Physiol 2004; 98: 21-30 https://doi.org/10.1159/000080260
  30. Davies AMC, Fearn T. Back to basics: the principles of principal component analysis. Spectroscop Eur 2005; 17(3): 20-23
  31. Kim HS, Lee GS, Lee SS, Ahn KD, Lee BK. A study on urinary N-acetyl-${\beta}$-D-glucosaminidase activities of office workers in a certain industrial complex area. Korean J Prev Med 1994; 27(3): 547-556 (Korean)
  32. Kim JY, Shin HR, Kim JI, Kim DH, Choi SR, Seoh JI, Roberts NB. Effect on aluminum and silicon in peptic ulcer patients. Korean J Prev Med 1999 ; 32(2): 200-205 (Korean)