Abstract
Presently, there is no convenient method to measure 24-h urinary Na excretion, which is an important index of daily Na intake, and 24-h urine collection involves a complex process. However, the Na-to-creatinine ratio (NCR) in spot urine has the potential to evaluate 24-h Na excretion and is useful for point-of-care testing. Thus, this study aimed to realize a near-infrared spectroscopic system to assess NCR in spot urine: (1) We attempted to estimate Na concentration using fewer than 10 wavelengths; (2) we calculated NCR using creatinine concentrations from our previous report and verified the NCR predictability. A calibration model was created using multi-linear regression analysis using 10 selected wavelengths in the range of Fourier-transform infrared spectrometer. Spot urine samples were obtained from healthy adults, and glucose powder was added to them to simulate diabetic samples. NCR was calculated using only six wavelengths, and the results confirmed the high accuracy of the estimated Na concentration even though inorganic components do not absorb near-infrared light. Our method enables to optically estimate NCR in spot urine, and it will be useful for point-of-care testing.
Similar content being viewed by others
References
Institute of medicine of the national academies (2005) Dietary reference intakes for water, potassium, sodium, chloride, and sulfate, ch. 6, p. 270. https://www.nal.usda.gov/sites/default/files/fnic_uploads/water_full_report.pdf. Accessed 11 March 2019
Aburto NJ, Ziolkovska A, Hooper L, Elliott P, Cappuccio FP, Meerpohl JJ (2013) Effect of lower sodium intake on health: systematic review and meta-analyses. BMJ 346. https://doi.org/10.1136/bmj.f1326
World Health Assembly (2013) Follow-up to the political declaration of the high-level meeting of the general assembly on the prevention and control of non-communicable diseases. WHA66.10, p. 43, http://apps.who.int/iris/bitstream/handle/10665/150161/A66_R10-en.pdf?sequence=1&isAllowed=y Accessed 11 March 2019
Powles J, Fahimi S, Micha R, Khatibzadeh S, Shi P, Ezzati M, Engell RE, Lim SS, Danaei G, Mozaffarian D (2013) Global, regional and national sodium intakes in 1990 and 2010: a systematic analysis of 24 h urinary sodium excretion and dietary surveys worldwide. BMJ Open 3:e003733. https://doi.org/10.1136/bmjopen-2013-003733
McMahon EJ, Bauer JD, Hawley CM, Isbel NM, Stowasser M, Johnson DM, Campbell KL (2013) A randomized trial of dietary sodium restriction in CKD. J Am Soc Nephrol 24:2096–2103. https://doi.org/10.1681/ASN.2013030285
Iwahori T, Ueshima H, Torii S, Saito Y, Fujiyoshi A, Ohkubo T, Miura K (2016) Four to seven random casual urine specimens are sufficient to estimate 24-h urinary sodium/potassium ratio in individuals with high blood pressure. J Hum Hypertens 30:328–334. https://doi.org/10.1038/jhh.2015.84
Tanaka T, Okamura T, Miura K, Kadowaki T, Ueshima H, Nakagawa H, Hashimoto T (2002) A simple method to estimate populational 24-h urinary sodium and potassium excretion using a casual urine specimen. J Hum Hypertens 16(2):97–103. https://doi.org/10.1038/sj.jhh.1001307
Mann SJ, Gerber LM (2010) Estimation of 24-hour sodium excretion from spot urine samples. J Clin Hypertens 12(3):174–180. https://doi.org/10.1111/j.1751-7176.2009.00241.x
Lee SG, LEE W, Kwon OH, Kim JH (2013) Association of urinary sodium/creatinine ratio and urinary sodium/specific gravity unit ratio with blood pressure and hypertension: KNHANES 2009–2010. Clin Chim Acta 424:168–173. https://doi.org/10.1016/j.cca.2013.05.027
Kim SW, Jeon JH, Choi YK, Lee WK, Hwang IR, Kim JG, Lee IK, Park KG (2015) Association of urinary sodium/creatinine ratio with bone mineral density in postmenopausal women: KNHANES 2008-2011. Endocrine 49:791–799. https://doi.org/10.1007/s12020-015-0532-y
Bercich R, Bernhard J, Larson K, Lindsey J (2011) Hand-held plasma isolation device for point-of-care testing. IEEE Trans Biomed Eng 58:759–762. https://doi.org/10.1109/TBME.2010.2095419
Harte SE, Mitra M, Ichesco EA, Halvorson ME, Clauw DJ, Shih AJ, Kruger GH (2013) Development and validation of a pressure-type automated quantitative sensory testing system for point-of-care pain assessment. Med Biol Eng Comput 51:633–644. https://doi.org/10.1007/s11517-013-1033-x
Cathewood PA, Steele D, Little M, McComb S, McLaughlin J (2018) A community-based IoT personalized wireless healthcare solution. IEEE J Transl Eng Health Med 6:1–13. https://doi.org/10.1109/JTEHM.2018.2822302
McTaggart MP, Price CP, Pinnock RG, Stevens PE, Newall RG, Lamb EJ (2012) The diagnostic accuracy of a urine albumin-creatinine ratio point-of-care test for detection of albuminuria in primary care. Am J Kidney Dis 60:787–794. https://doi.org/10.1053/j.ajkd.2012.05.009
Hamilton FW, Penfold CM, Ness AR, Stevenson KP, Atkinson C, Day AM, Sebepos-Rogers GM, Tyrrell-Price J (2018) Can Quantab titrator sticks reliably predict urinary sodium? Clin Nutr ESPEN 23:217–221. https://doi.org/10.1016/j.clnesp.2017.09.011
Suzuki I, Ogawa M, Seino K, Nogawa M, Naito H, Yamakoshi K, Tanaka S (2018) Reagentless estimation of urea and creatinine concentrations using near-infrared spectroscopy for spot urine test of urea-to-creatinine ratio. Adv Biomed Eng 7:72–81. https://doi.org/10.14326/abe.7.72
Ciavarella S, Batten GD, Blakeney AB (1998) Measuring potassium in plant tissues using near infrared spectroscopy. J Near Infrared Spectrosc 6(A):A63–A66. https://doi.org/10.1255/jnirs.167
Font R, Río-Celestino MD, Vélez D, Haro-Bailón AD, Montoro R (2004) Visible and near-infrared spectroscopy as a technique for screening the inorganic arsenic content in the red crayfish (Procambarus clarkii Girard). Anal Chem 76:3893–3898. https://doi.org/10.1021/ac035377c
Nah S, Ryu K, Cho S, Chung H, Namkung H (2006) Simple and robust near-infrared spectroscopic monitoring of indium-tin-oxide (ITO) etching solution using Teflon tubing. Anal Chim Acta 59:208–215. https://doi.org/10.1016/j.aca.2005.08.082
Druckenmüller K, Günther K, Elbers G (2018) Near-infrared spectroscopy (NIRS) as a tool to monitor exhaust air from poultry operations. Sci Total Environ 630:536–543. https://doi.org/10.1016/j.scitotenv.2018.02.072
Shaw RA, Kotowich S, Mantsch HH, Leroux M (1996) Quantitation of protein, creatinine, and urea in urine by near-infrared spectroscopy. Clin Biochem 29:11–19. https://doi.org/10.1016/0009-9120(95)02011-X
Pezzaniti JL, Jeng TW, McDowell L, Oosta GM (2001) Preliminary investigation of near-infrared spectroscopic measurements of urea, creatinine, glucose, protein, and ketone in urine. Clin Biochem 34:239–246. https://doi.org/10.1016/S0009-9120(01)00198-9
Kinoshita K, Morita H, Miyazaki M, Hama N, Kanemitsu H, Kawakami H, Wang P, Ishikawa O, Kusunoki H, Tsenkova R (2010) Near infrared spectroscopy of urine proves useful for estimating ovulation in giant panda (Ailuropoda melanoleuca). Anal Methods 2:1671–1675. https://doi.org/10.1039/c0ay00333f
Berne RM, Levy MN (2000) Principles of physiology, part 7, ch. 36, 3rd edn. Mosby, Missouri, p 424
Kasemsumran S, Du YP, Murayama K, Huehne M, Ozaki Y (2004) Near-infrared spectroscopic determination of human serum albumin, γ-globulin, and glucose in a control serum solution with searching combination moving window partial least squares. Anal Chim Acta 512:223–230. https://doi.org/10.1016/j.aca.2004.02.045
Yamamoto N, Kawashima N, Kitazaki T, Mori K, Kang H, Nishiyama S, Wada K, Ishimaru I (2018) Ultrasonic standing wave preparation of a liquid cell for glucose measurements in urine by midinfrared spectroscopy and potential application to smart toilets. J Biomed Opt 23:1–4. https://doi.org/10.1117/1.JBO.23.5.050503
R Foundation, The R Project for Statistical Computing. http://www.r-project.org/. Accessed December 20, 2018.
Miyano T, Kano M, Tanabe H, Nakagawa H, Watanabe T, Minami H (2004) Spectral fluctuation dividing for efficient wavenumber selection: application to estimation of water and drug content in granules using near infrared spectroscopy. Int J Pharm 475:504–513. https://doi.org/10.1016/j.ijpharm.2014.09.007
Sauvage L, Frank D, Stearne J, Millikana MB (2002) Trace metal studies of selected white wines: an alternative approach. Anal Chim Acta 458:223–230. https://doi.org/10.1016/S0003-2670(01)01607-5
Chung H, Ku MS (2003) Feasibility of monitoring acetic acid process using near-infrared spectroscopy. Vib Spectrosc 31:125–131. https://doi.org/10.1016/S0924-2031(02)00105-4
Amerov AK, Chen J, Arnold MA (2004) Molar absorptivities of glucose and other biological molecules in aqueous solutions over the first overtone and combination regions of the near-infrared spectrum. Appl Spectrosc 58:1195–1204. https://doi.org/10.1366/0003702042336136
Acknowledgments
The authors would like to appreciate the urine sample donors and the graduates of the Division of Mechanical Science and Engineering, Kanazawa University, for their technical assistance.
Funding
This work was partly supported by Japan Society for the Promotion of Science, Grant-in-Aid for Scientific Research (B) 20300195, 26282119, 18H03514, and (C) 17 K01407.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.
Statement of informed consent
Informed consent was obtained from all individual participants in the study.
Additional information
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Suzuki, I., Ogawa, M., Seino, K. et al. NIR spectroscopic determination of urine components in spot urine: preliminary investigation towards optical point-of-care test. Med Biol Eng Comput 58, 67–74 (2020). https://doi.org/10.1007/s11517-019-02063-1
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11517-019-02063-1