Quantification of protein mixture in chromatographic separation using multi-wavelength UV spectra

Biotechnology Progress

Volumn 29, Issue 3, 2013, Pages 664-671

  Kamga, Mark Henry ^a   Woo Lee, Hae ^a   Liu, Jay ^b   Yoon, Seongkyu ^a  

^a University of Massachusetts   (United States)

^b Pukyong National University   (South Korea)

Author keywords

Chemometrics; Chromatography; PLS; Process analytical technology; Protein quantification; Ultraviolet spectra

Indexed keywords

CHEMOMETRICS; CHROMATOGRAPHIC PROCESS; CHROMATOGRAPHIC SEPARATIONS; PARTIAL LEAST SQUARE (PLS); PLS; PROCESS ANALYTICAL TECHNOLOGY; PROTEIN PURIFICATION PROCESS; PROTEIN QUANTIFICATION;

CHROMATOGRAPHY; LIQUID CHROMATOGRAPHY; MIXTURES; PURIFICATION; ULTRAVIOLET SPECTROSCOPY;

PROTEINS;

PROTEIN;

ANIMAL; ARTICLE; CALIBRATION; CATTLE; CHEMICAL MODEL; CHEMISTRY; HIGH PERFORMANCE LIQUID CHROMATOGRAPHY; ISOLATION AND PURIFICATION; METHODOLOGY; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; ULTRAVIOLET SPECTROPHOTOMETRY;

ANIMALS; CALIBRATION; CATTLE; CHROMATOGRAPHY, HIGH PRESSURE LIQUID; LEAST-SQUARES ANALYSIS; MODELS, CHEMICAL; PRINCIPAL COMPONENT ANALYSIS; PROTEINS; SPECTROPHOTOMETRY, ULTRAVIOLET;

EID: 84879254376     PISSN: 87567938     EISSN: 15206033     Source Type: Journal    
DOI: 10.1002/btpr.1712     Document Type: Article

References (43)

1. Hage DS, Anguizola JA, Bi C, Li R, Matsuda R, Papastavros E, Pfaunmiller E, Vargas J. Zheng X. Pharmaceutical and biomedical applications of affinity chromatography: recent trends and developments. J Pharm Biomed Anal. 2012;69:93-105.
2. Lowe CR. Combinatorial approaches to affinity chromatography. Curr Opin Chem Biol. 2001;5:248-256.
3. Roque ACA, Lowe CR, Taipa MA. Antibodies and genetically engineered related molecules: production and purification. Biotechnol Prog. 2004;20:639-654.
4. Bill E, Lutz U, Karlsson BM, Sparrman M, Allgaier H. Optimization of protein G chromatography for biopharmaceutical monoclonal antibodies. J Mol Recognit. 1995;8:90-94.
5. Graumann K, Ebenbichler AA. Development and scale up of preparative HIC for the purification of a recombinant therapeutic protein. Chem Eng Technol. 2005;28:1398-1407.
6. Hubbuch J, Kula MR. Isolation and purification of biotechnological products. J Non-Equilib Thermodyn. 2007;32:99-127.
7. Shukla AA, Thommes J. Recent advances in large-scale production of monoclonal antibodies and related proteins. Trends Biotechnol. 2010;28:253-261.
8. Smith C. Striving for purity: advances in protein purification. Nat Methods 2005;2:71-77.
9. Hou Y, Jiang C, Shukla AA, Cramer SM. Improved process analytical technology for protein a chromatography using predictive principal component analysis tools. Biotechnol. Bioeng. 2011;108:59-68.
10. Degerman M, Jakobsson N, Nilsson B. Constrained optimization of a preparative ion-exchange step for antibody purification. J Chromatogr A. 2006;1113:92-100.
11. Rathore AS. Roadmap for implementation of quality by design (QbD) for biotechnology products. Trends Biotechnol. 2009;27:546-553.
12. Teixeira AP, Oliveira R, Alves PM, Carrondo MJT. Advances in on-line monitoring and control of mammalian cell cultures: Supporting the PAT initiative. Biotechnol Adv. 2009;27:726-732.
13. Yu L. Pharmaceutical quality by design: product and process development, understanding, and control. Pharm Res. 2008;25:781-791.
14. Rathore AS, Yu M, Yeboah S, Sharma A. Case study and application of process analytical technology (PAT) towards bioprocessing: use of on-line high-performance liquid chromatography (HPLC) for making real-time pooling decisions for process chromatography. Biotechnol. Bioeng. 2008;100:306-316.
15. Rathore AS, Wood R, Sharma A, Dermawan S. Case study and application of process analytical technology (PAT) towards bioprocessing. II. Use of ultra-performance liquid chromatography (UPLC) for making real-time pooling decisions for process chromatography. Biotechnol Bioeng. 2008;101:1366-1374.
16. Rathore AS, Li X, Bartkowski W, Sharma A, Lu Y. Case study and application of process analytical technology (PAT) towards bioprocessing: use of tryptophan fluorescence as at-line tool for making pooling decisions for process chromatography. Biotechnol. Prog. 2009;25:1433-1439.
17. Blanco M, Coello J, Iturriaga H, Maspoch S, de la Pezuela C. Near-infrared spectroscopy in the pharmaceutical industry. Critical Review. Analyst. 1998;123:135R-150R.
18. Read EK, Park JT, Shah RB, Riley BS, Brorson KA, Rathore AS. Process analytical technology (PAT) for biopharmaceutical products. I. Concepts and applications. Biotechnol. Bioeng. 2010;105:276-284.
19. Lee HW, Christie A, Liu JJ, Yoon S. Estimation of raw material performance in mammalian cell culture using near infrared spectra combined with chemometrics approaches. Biotechnol. Prog. 2012;28:824-832.
20. Lee HW, Christie A, Xu J, Yoon S. Data fusion-based assessment of raw materials in mammalian cell culture. Biotechnol Bioeng. 2012;109:2819-2828.
21. Lopes JA, Costa PF, Alves TP, Menezes JC. Chemometrics in bioprocess engineering: Process analytical technology (PAT) applications. Chemom Intell Lab Syst. 2004;74:269-275.
22. Rathore AS, Bhushan N, Hadpe S. Chemometrics applications in biotech processes: a review. Biotechnol Prog. 27:307-315.
23. Mach H, Middaugh CR. Ultraviolet spectroscopy as a tool in therapeutic protein development. J Pharm Sci. 2011;100:1214-1227.
24. Arteaga GE, Horimoto Y, Li-Chan E, Nakai S. Partial least-squares regression of fourth-derivative ultraviolet absorbance spectra predicts composition of protein mixtures: Application to bovine caseins. J Agric Food Chem. 1994;42:1938-1942.
25. Hansen SK, Jamali B, Hubbuch J. Selective high throughput protein quantification based on UV absorption spectra. Biotechnol Bioeng. 2013;110:448-460.
26. Hansen SK, Skibsted E, Staby A, Hubbuch J. A label-free methodology for selective protein quantification by means of absorption measurements. Biotechnol Bioeng. 2011;108:2661-2669.
27. Mach H, Thomson JA, Middaugh CR. Quantitative analysis of protein mixtures by second derivative absorption spectroscopy. Anal Biochem. 1989;181:79-85.
28. Lundstedt T, Seifert E, Abramo L, Thelin B, Nystrom A, Pettersen J, Bergman R. Experimental design and optimization. Chemom Intell Lab Syst. 1998;42:3-40.
29. Morris MD, Mitchell TJ. Exploratory designs for computational experiments. J Statist Plann Inference. 1995;43:381-402.
30. Jaumot J, Gargallo R, De Juan A, Tauler R. A graphical user-friendly interface for MCR-ALS: A new tool for multivariate curve resolution in MATLAB. Chemom Intell Lab Syst. 2005;76:101-110.
31. Erriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikstrom C, Wold S. Multi- and Megavariate Data Analysis. Umea, Sweden: Umetrics AB; 2006.
32. Cattell RB. The Scree Test for the Number of Factors. Multivar Behav Res. 1966;1:245-276.
33. Geladi P, Kowalski BR. Partial least-squares regression: a tutorial. Anal Chim Acta. 1986;185:1-17.
34. Lange R, Frank J, Saldana JL, Balny C. Fourth derivative UV-spectroscopy of proteins under high pressure I. Factors affecting the fourth derivative spectrum of the aromatic amino acids. Eur Biophys J. 1996;24:277-283.
35. Mach H, Middaugh CR. Simultaneous monitoring of the environment of tryptophan, tyrosine, and phenylalanine residues in proteins by near-ultraviolet second-derivative spectroscopy. Anal Biochem. 1994;222:323-331.
36. Dziuba J, Nalecz D, Minkiewicz P. Reversed-phase high-performance liquid chromatography on-line with the second and fourth derivative ultraviolet spectroscopy as a tool for identification of milk proteins. Anal Chim Acta. 2001;449:243-252.
37. Nollet LML, Toldra F. Handbook of Dairy Foods Analysis. Boca Raton, FL: CRC Press, 2009.
38. Azzouz T, Tauler R. Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples. Talanta. 2008;74:1201-1210.
39. Glazer AN, Smith EL. Studies on the ultraviolet difference spectra of proteins and polypeptides. J Biol Chem. 1961;236:2942-2947.
40. Lee HW, Bawn A, Yoon S. Reproducibility, complementary measure of predictability for robustness improvement of multivariate calibration models via variable selections. Anal Chim Acta. 2012;757:11-18.
41. Gill SC, von Hippel PH. Calculation of protein extinction coefficients from amino acid sequence data. Anal Biochem. 1989;182:319-326.
42. Chong I-G, Jun C-H. Performance of some variable selection methods when multicollinearity is present. Chemom Intell Lab Syst 2005;78:103-112.
43. Wu HL, Shibukawa M, Oguma K. An alternating trilinear decomposition algorithm with application to calibration of HPLC-DAD for simultaneous determination of overlapped chlorinated aromatic hydrocarbons. J Chemom. 1998;12:1-26.