Infrared-based quantification of clinical parameters

TrAC - Trends in Analytical Chemistry

Volumn 62, Issue , 2014, Pages 93-105

  Perez Guaita, David ^a   Garrigues, Salvador ^a   de la, Miguel ^a  

^a UNIVERSITY OF VALENCIA   (Spain)

Author keywords

Chemometrics; Clinical parameter; Clinical sample; Infrared spectroscopy; Infrared based quantification; Point of care method; Quantitative infrared analysis; Sample treatment; Selectivity; Sensitivity

Indexed keywords

CATALYST SELECTIVITY; CEREBROSPINAL FLUID; DIAGNOSIS; INFRARED SPECTROSCOPY; SPACECRAFT INSTRUMENTS;

CHEMOMETRICS; CLINICAL PARAMETERS; CLINICAL SAMPLES; INFRARED ANALYSIS; POINT OF CARE; SAMPLE TREATMENT; SENSITIVITY;

SPECTRUM ANALYSIS;

ACCURACY; ALGORITHM; AMNION FLUID ANALYSIS; BLOOD SAMPLING; BREAST MILK; BREATH ANALYSIS; CALIBRATION; CEREBROSPINAL FLUID ANALYSIS; COST EFFECTIVENESS ANALYSIS; HAIR ANALYSIS; HUMAN; INFRARED SPECTROSCOPY; LIP; PHOTOMETER; POINT OF CARE TESTING; PREDICTIVE VALUE; RELIABILITY; REPRODUCIBILITY; REVIEW; SCANNING ELECTRON MICROSCOPE; SKIN; SPECTROPHOTOMETER; ULTRAVIOLET DETECTOR; URINALYSIS; UROLITHIASIS; VALIDITY; X RAY SYSTEM;

EID: 84908001861     PISSN: 01659936     EISSN: 18793142     Source Type: Journal    
DOI: 10.1016/j.trac.2014.06.012     Document Type: Review

References (86)

1. Mantsch H.H. The road to medical vibrational spectroscopy - a history. Analyst 2013, 138:3863-3870.
2. Kelly J.G., Trevisan J., Scott A.D., Carmichael P.L., Pollock H.M., Martin-Hirsch P.L., et al. Biospectroscopy to metabolically profile biomolecular structure: a multistage approach linking computational analysis with biomarkers. J. Proteome Res 2011, 10:1437-1448.
3. Khanmohammadi M., Garmarudi A.B. Infrared spectroscopy provides a green analytical chemistry tool for direct diagnosis of cancer. TrAC Trends Anal. Chem 2011, 30:864-874.
4. Rohleder D., Kocherscheidt G., Gerber K., Kiefer W., Kohler W., Mocks J., et al. Comparison of mid-infrared and Raman spectroscopy in the quantitative analysis of serum. J. Biomed. Opt 2005, 10. 031108.
5. Maruo K., Oota T., Tsurugi M., Nakagawa T., Arimoto H., Tamura M., et al. New methodology to obtain a calibration model for noninvasive near-infrared blood glucose monitoring. Appl. Spectrosc 2006, 60:441-449.
6. Pleitez M.A., Lieblein T., Bauer A., Hertzberg O., von Lilienfeld-Toal H., Mäntele W. In Vivo noninvasive monitoring of glucose concentration in human epidermis by mid-infrared pulsed photoacoustic spectroscopy. Anal. Chem 2013, 85:1013-1020.
7. Hosafci G., Klein O., Oremek G., Mantele W. Clinical chemistry without reagents? An infrared spectroscopic technique for determination of clinically relevant constituents of body fluids. Anal. Bioanal. Chem 2007, 387:1815-1822.
8. Perez-Guaita D., Ventura-Gayete J., Pérez-Rambla C., Sancho-Andreu M., Garrigues S., de la Guardia M. Evaluation of infrared spectroscopy as a screening tool for serum analysis. Impact of the nature of samples included in the calibration set. Microchem. J. 2013, 106:202-211.
9. Majzner K., Wrobel T., Fedorowicz A., Chlopicki S., Baranska M. Secondary structure of proteins analyzed ex vivo in vascular wall in diabetic animals using FT-IR spectroscopy. Analyst 2013, 138:7400-7410.
10. St John A. The evidence to support point-of-care testing. Clin. Biochem. Rev 2010, 31:111-119.
11. Brandstetter M., Sumalowitsch T., Genner A., Posch A., Herwig C., Drolz A., et al. Reagent-free monitoring of multiple clinically relevant parameters in human blood plasma using a mid-infrared quantum cascade laser based sensor system. Analyst 2013, 138:4022-4028.
12. Heise H.M., Marbach R. Human oral mucosa studies with varying blood glucose concentration by non-invasive ATR-FT-IR-spectroscopy. Cell. Mol. Biol 1998, 44:899-912.
13. Yoshida S., Yoshida M., Yamamoto M., Takeda J. Optical screening of diabetes mellitus using non-invasive Fourier-transform infrared spectroscopy technique for human lip. J. Pharm. Biomed. Anal 2013, 76:169-176.
14. Perez-Guaita D., Kuligowski J., Quintás G., Garrigues S., de la Guardia M. Modified locally weighted - partial least squares regression improving clinical predictions from infrared spectra of human serum samples. Talanta 2013, 107:376-385.
15. Al-Mbaideen A., Benaissa M. Determination of glucose concentration from NIR spectra using independent component regression. Chemom. Intell. Lab. Syst 2011, 105:131-135.
16. Kang N., Kasemsumran S., Woo Y.-A., Kim H.-J., Ozaki Y. Optimization of informative spectral regions for the quantification of cholesterol, glucose and urea in control serum solutions using searching combination moving window partial least squares regression method with near infrared spectroscopy. Chemom. Intell. Lab. Syst 2006, 82:90-96.
17. Perez-Guaita D., Wilk A., Kuligowski J., Quintás G., de la Guardia M., Mizaikoff B. Improving the performance of hollow waveguide-based infrared gas sensors via tailored chemometrics. Anal. Bioanal. Chem 2013, 405:8223-8232.
18. Janatsch G., Kruse-Jarres J.D., Marbach R., Heise H.M. Multivariate calibration for assays in clinical chemistry using attenuated total reflection infrared spectra of human blood plasma. Anal. Chem 1989, 61:2016-2023.
19. Wang J., Sowa M., Mantsch H.H., Bittner A., Heise H.M. Comparison of different infrared measurement techniques in the clinical analysis of biofluids. TrAC Trends Anal. Chem 1996, 15:286-296.
20. Ollesch J., Drees S.L., Heise H.M., Behrens T., Brüning T., Gerwert K. FTIR spectroscopy of biofluids revisited: an automated approach to spectral biomarker identification. Analyst 2013, 138:4092-4102.
21. Vahlsing T., Damm U., Kondepati V.R., Leonhardt S., Brendel M.D., Wood B.R., et al. Transmission infrared spectroscopy of whole blood - complications for quantitative analysis from leucocyte adhesion during continuous monitoring. J. Biophotonics 2010, 3:567-578.
22. Perez-Guaita D., Ventura-Gayete J., Pérez-Rambla C., Sancho-Andreu M., Garrigues S., de la Guardia M. Protein determination in serum and whole blood by attenuated total reflectance infrared spectroscopy. Anal. Bioanal. Chem 2012, 404:649-656.
23. Petibois C., Cazorla G., Cassaigne A., Deleris G. Plasma protein contents determined by Fourier-transform infrared spectrometry. Clin. Chem 2001, 47:730-738.
24. Meinke M., Mueller G., Albrecht H., Antoniou C., Richter H., Lademann J. Two-wavelength carbon dioxide laser application for in-vitro blood glucose measurements. J. Biomed. Opt 2008, 13. 014021.
25. Shaw R.A., Rigatto C., Reslerova M., Ying S.L., Man A., Schattka B., et al. Toward point-of-care diagnostic metabolic fingerprinting: quantification of plasma creatinine by infrared spectroscopy of microfluidic-preprocessed samples. Analyst 2009, 134:1224-1231.
26. Perez-Guaita D., Sanchez-Illana A., Ventura-Gayete J., Garrigues S., de la Guardia M. Chemometric determination of lipidic parameters in serum using ATR measurements of dry films of solvent extracts. Analyst 2014, 139:170-178.
27. Lasch P., Kneipp J. Biomedical Vibrational Spectroscopy 2008, Wiley-Interscience, Hoboken, N.J.
28. Petrich W. From study design to data analysis. Biomedical Vibrational Spectroscopy 2006, 315-332. John Wiley & Sons Inc., Hoboken, NJ, USA. P. Lasch, J. Kneipp (Eds.).
29. Brandstetter M., Lendl B. Tunable mid-infrared lasers in physical chemosensors towards the detection of physiologically relevant parameters in biofluids. Sens. Actuators B Chem 2012, 170:189-195.
30. Peuchant E., Salles C., Jensen R. Determination of serum cholesterol by near-infrared reflectance spectrometry. Anal. Chem 1987, 59:1816-1819. 10.1021/ac00141a017.
31. Bittner A., Marbach R., Heise H.M. Multivariate calibration for protein, cholesterol and triglycerides in human plasma using short-wave near infrared spectrometry. J. Mol. Struct 1995, 349:341-344.
32. Heise H.M., Bittner A. Multivariate calibration for near-infrared spectroscopic assays of blood substrates in human plasma based on variable selection using PLS-regression vector choices. Fresenius. J. Anal. Chem 1998, 362:141-147.
33. da Costa Filho P.A., Poppi R.J. Determination of triglycerides in human plasma using near-infrared spectroscopy and multivariate calibration methods. Anal. Chim. Acta 2001, 446:39-47.
34. García-García J.L., Perez-Guaita D., de la Guardia M., Garrigues S. Determination of biochemical parameters in human serum by near-infrared spectroscopy. Anal. Methods 2014, 10.1039/c3ay42198h.
35. Jennings G., Bluck L., Wright A., Elia M. The use of infrared spectrophotometry for measuring body water spaces. Clin. Chem 1999, 45:1077-1081.
36. Verma D., Verma S.K., Deb M.K. Single-drop micro-extraction and diffuse reflectance Fourier transform infrared spectroscopic determination of chromium in biological fluids. Talanta 2009, 78:270-277.
37. Shaw R.A., Kotowich S., Mantsch H.H., Leroux M. Quantitation of protein, creatinine, and urea in urine by near-infrared spectroscopy. Clin. Biochem 1996, 29:11-19.
38. Heise H.M., Voigt G., Lampen P., Küpper L., Rudloff S., Werner G. Multivariate calibration for the determination of analytes in urine using mid-infrared attenuated total reflection spectroscopy. Appl. Spectrosc 2001, 55:434-443.
39. Li G., Zhao Z., Liu R., Wang H.Q., Lin L., Zhang B.J., et al. Research on the measurement of urinary albumin by visible-near infrared spectroscopy. Guang Pu Xue Yu Guang Pu Fen Xi 2011, 31:2412-2415.
40. Khaskheli A.R., Sirajuddin, Sherazi S.T.H., Mahesar S.A., Kandhro A.A., Kalwar N.H., et al. Estimation of ibuprofen in urine and tablet formulations by transmission Fourier Transform Infrared spectroscopy by partial least square. Spectrochim. Acta A. Mol. Biomol. Spectrosc 2013, 102:403-407.
41. Sánchez-González C., Nigussie W., Estruch R., Lamuela-Raventós R.M., Izquierdo-Pulido M., de Lamo-Castellví S. Attenuated total reflection infrared microspectroscopy combined with multivariate analysis: a novel tool to study the presence of cocoa polyphenol metabolites in urine samples. Analyst 2012, 137:3565-3570.
42. Sánchez-Illana A., Pérez-Guaita D., Garrigues S., de la Guardia M. Determination of lidocaine in urine at low ppm levels using dispersive microextraction and attenuated total reflectance-Fourier transform infrared measurements of dry films. XXIV RNE - VIII CIE 2013, Logroño, Spain. Communication O-19.
43. Michaelsen K., Pedersen S., Skafte L., Jaeger P., Peitersen B. Infrared-analysis for determining macronutrients in human-milk. J. Pediatr. Gastroenterol. Nutr 1988, 7:229-235.
44. Miris Human Milk Analyser (HMA) User manual and quick guide Miris AB, Uppsala, Sweden; Available at. http://miris.se/wp-content/uploads/2013/01/MANUAL-HMA-english-210_knapp_DBM4.pdf.
45. Casadio Y.S., Williams T.M., Lai C.T., Olsson S.E., Hepworth A.R., Hartmann P.E. Evaluation of a mid-infrared analyzer for the determination of the macronutrient composition of human milk. J. Hum. Lact 2010, 26:376-383.
46. Chang Y.C., Chen C.H., Lin M.C. The macronutrients in human milk change after storage in various containers. Pediatr. Neonatol 2012, 53:205-209.
47. Khan S., Prime D.K., Hepworth A.R., Lai C.T., Trengove N.J., Hartmann P.E. Investigation of short-term variations in term breast milk composition during repeated breast expression sessions. J. Hum. Lact 2013, 29:196-204.
48. Kamelska A.M., Pietrzak-Fiećko R., Bryl K. Determination of cholesterol concentration in human milk samples using attenuated total reflectance Fourier transform infrared spectroscopy. J. Appl. Spectrosc 2013, 80:148-152.
49. Sauer C.W., Kim J.H. Human milk macronutrient analysis using point-of-care near-infrared spectrophotometry. J. Perinatol 2011, 31:339-343.
50. Khaustova S., Shkurnikov M., Tonevitsky E., Artyushenko V., Tonevitsky A. Noninvasive biochemical monitoring of physiological stress by Fourier transform infrared saliva spectroscopy. Analyst 2010, 135:3183-3192.
51. Schultz C.P., Ahmed M.K., Dawes C., Mantsch H.H. Thiocyanate levels in human saliva: quantitation by Fourier transform infrared spectroscopy. Anal. Biochem 1996, 240:7-12.
52. Hans K.M.C., Mueller S., Sigrist M.W. Infrared attenuated total reflection (IR-ATR) spectroscopy for detecting drugs in human saliva. Drug Test. Anal 2012, 4:420-429.
53. Wägli P., Chang Y.C., Homsy A., Hvozdara L., Herzig H.P., de Rooij N.F. Microfluidic droplet-based liquid-liquid extraction and on-chip IR spectroscopy detection of cocaine in human saliva. Anal. Chem 2013, 85:7558-7565.
54. Liu K.Z., Mantsch H.H. Simultaneous quantitation from infrared spectra of glucose concentrations, lactate concentrations, and lecithin/sphingomyelin ratios in amniotic fluid. Am. J. Obstet. Gynecol 1999, 180:696-702.
55. Nagase Y., Yoshida S., Kamiyama K. Analysis of human tear fluid by Fourier transform infrared spectroscopy. Biopolymers 2005, 79:18-27.
56. Murkin J.M., Arango M. Near-infrared spectroscopy as an index of brain and tissue oxygenation. Br. J. Anaesth 2009, 103(Suppl. 1):i3-i13.
57. Sakudo A., Kato Y.H., Kuratsune H., Ikuta K. Non-invasive prediction of hematocrit levels by portable visible and near-infrared spectrophotometer. Clin. Chim. Acta 2009, 408:123-127.
58. Heise H.M., Küpper L., Butvina L.N. Bio-analytical applications of mid-infrared spectroscopy using silver halide fiber-optic probes. Spectrochim. Acta Part B At. Spectrosc 2002, 57:1649-1663.
59. Basiri A., Taheri M., Taheri F. What is the state of the stone analysis techniques in urolithiasis?. Urol. J. 2012, 9:445-454.
60. Khalil S.K.H., Azooz M.A. Application of vibrational spectroscopy in identification of the composition of the urinary stones. J. Appl. Sci. Res 2007, 3:387-391.
61. Gulley-Stahl H.J., Haas J.A., Schmidt K.A., Evan A.P., Sommer A.J. attenuated total internal reflection fourier transform infrared spectroscopy: a quantitative approach for kidney stone analysis. Appl. Spectrosc 2009, 63:759-766.
62. Gulley-Stahl H.J., Bledsoe S.B., Evan A.P., Sommer A.J. The advantages of an attenuated total internal reflection infrared microspectroscopic imaging approach for kidney biopsy analysis. Appl. Spectrosc 2010, 64:15-22.
63. Marickar Y.M.F., Lekshmi P., Varma L., Koshy P. EDAX versus FTIR in mixed stones. Urol. Res 2009, 37:271-276.
64. Strassburger S., Breuer M. Quantitative Fourier transform infrared spectroscopy of oxidized hair. J. Soc. Cosmet. Chem 1985, 36:61-74.
65. Lyman D.J., Schofield P. Attenuated total reflection Fourier transform infrared spectroscopy analysis of human hair fiber structure. Appl. Spectrosc 2008, 62:525-535.
66. Miyamae Y., Yamakawa Y., Ozaki Y. Evaluation of physical properties of human hair by diffuse reflectance near-infrared spectroscopy. Appl. Spectrosc 2007, 61:212-217.
67. Ebrahimpour A., Ullman A.H. In vivo skin analysis (INSA) for quantitative determination of lotion transfer to human skin. J. Cosmet. Sci 2009, 60:315-321.
68. Suh E.J., Woo Y.A., Kim H.J. Determination of water content in skin by using a ft near infrared spectrometer. Arch. Pharm. Res 2005, 28:458-462.
69. Armenta S., de la Guardia M., Alcalà M., Blanco M. Noninvasive double confirmation of cocaine abuse. Anal. Chem 2013, 85:11382-11390.
70. Franck P., Sallerin J.L., Schroeder H., Gelot M.A., Nabet P. Rapid determination of fecal fat by Fourier transform infrared analysis (FTIR) with partial least squares regression and an attenuated total reflectance accessory. Clin. Chem 1996, 42:2015-2020.
71. Dreissig I., Machill S., Salzer R., Krafft C. Quantification of brain lipids by FTIR spectroscopy and partial least squares regression. Spectrochim. Acta A. Mol. Biomol. Spectrosc 2009, 71:2069-2075.
72. Yoshida S., Okazaki Y., Yamashita T., Ueda H., Ghadimi R., Hosono A., et al. Analysis of human oral mucosa ex vivo for fatty acid compositions using Fourier-transform infrared spectroscopy. Lipids 2008, 43:361-372.
73. Wilk A., Carter J.C., Chrisp M., Manuel A.M., Mirkarimi P., Alameda J.B., et al. Substrate-integrated hollow waveguides: a new level of integration in mid-infrared gas sensing. Anal. Chem 2013, 85:11205-11210.
74. Arslanov D.D., Spunei M., Mandon J., Cristescu S.M., Persijn S.T., Harren F.J.M. Continuous-wave optical parametric oscillator based infrared spectroscopy for sensitive molecular gas sensing. Laser Photonics Rev 2013, 7:188-206. 10.1002/lpor.201100036.
75. Wörle K., Seichter F., Wilk A., Armacost C., Day T., Godejohann M., et al. Breath analysis with broadly tunable quantum cascade lasers. Anal. Chem 2013, 85:2697-2702.
76. Seichter F., Wilk A., Wörle K., Kim S.S., Vogt J.A., Wachter U., et al. Multivariate determination of 13CO2/12CO2 ratios in exhaled mouse breath with mid-infrared hollow waveguide gas sensors. Anal. Bioanal. Chem 2013, 405:4945-4951.
77. Ulanowska A., Kowalkowski T., Trawinska E., Buszewski B. The application of statistical methods using VOCs to identify patients with lung cancer. J. Breath Res 2011, 5. 046008.
78. Shorter J.H., Nelson D.D., McManus J.B., Zahniser M.S., Sama S.R., Milton D.K. Clinical study of multiple breath biomarkers of asthma and COPD (NO, CO(2), CO and N(2)O) by infrared laser spectroscopy. J. Breath Res 2011, 5. 037108.
79. Hannemann M., Antufjew A., Borgmann K., Hempel F., Ittermann T., Welzel S., et al. Influence of age and sex in exhaled breath samples investigated by means of infrared laser absorption spectroscopy. J. Breath Res 2011, 5. 027101.
80. Patterson C.S., McMillan L.C., Longbottom C., Gibson G.M., Padgett M.J., Skeldon K.D. Portable optical spectroscopy for accurate analysis of ethane in exhaled breath. Meas. Sci. Technol 2007, 18:1459.
81. Namjou K., Roller C.B., Reich T.E., Jeffers J.D., McMillen G.L., McCann P.J., et al. Determination of exhaled nitric oxide distributions in a diverse sample population using tunable diode laser absorption spectroscopy. Appl. Phys. B 2006, 85:427-435.
82. Perez-Guaita D., Kokoric V., Wilk A., Garrigues S., Mizaikoff B. Towards the determination of isoprene in human breath using substrate-integrated hollow waveguide mid-infrared sensors. J. Breath Res 2014, 8. 026003.
83. Wood B.R., McNaughton D. Themed issue: optical diagnosis. Analyst 2013, 138:3847-4204.
84. Ellis D.I., Dunn W.B., Griffin J.L., Allwood J.W., Goodacre R. Metabolic fingerprinting as a diagnostic tool. Pharmacogenomics 2007, 8:1243-1266. 3.
85. Molz P., Ellwanger J.H., Eliete Iochims dos Santos C., Dias J.F., de Campos D., Corbellini V.A., et al. A metabolomics approach to evaluate the effects of shiitake mushroom (Lentinula edodes) treatment in undernourished young rats. Nucl. Instrum. Methods Phys. Res. Sect. B-Beam Interact. Mater. At 2014, 318(Pt A):194-197.
86. Kuligowski J., Perez-Guaita D., Escobar J., Lliso I., de la Guardia M., Lendl B., et al. Infrared biospectroscopy for a fast qualitative evaluation of sample preparation in metabolomics. Talanta 2014, 127:181-190.