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Screening soy hydrolysates for the production of a recombinant therapeutic protein in commercial cell line by combined approach of near-infrared spectroscopy and chemometrics

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Abstract

Soy hydrolysates are widely used as the major nutrient sources for cell culture processes for industrial manufacturing of therapeutic recombinant proteins. The primary goal of this study was to develop a spectroscopy based chemometric method, a partial least squares (PLS), to screen soy hydrolysates for better yield of protein production (titers) in cell culture medium. Harvest titer values of 29 soy hydrolysate lots with production yield between 490 and 1,350 mg/L were obtained from shake flask models or from manufacture engineering runs. The soy hydrolysate samples were measured by near-infrared (NIR) in reflectance mode using an infrared fiber optic probe. The fiber optic probe could easily enable in situ measurement of the soy hydrolysates for convenient raw material screening. The best PLS calibration has a determination coefficient of R 2 = 0.887 utilizing no spectral preprocessing, the two spectral ranges of 10,000–5,376 cm−1 and 4,980–4,484 cm−1, and a rank of 6 factors. The cross-validation of the model resulted in a determination coefficient of R 2 = 0.741 between the predicted and actual titer values with an average standard deviation of 72 mg/L. Compared with the resource demanding shake flask model, the combination of NIR and chemometric modeling provides a convenient method for soy hydrolysate screening with the advantage of fast speed, low cost and non-destructive.

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References

  • Abu-Absi SF, Yang L, Thompson P, Jiang C, Kandula S, Schilling B, Shukla AA (2010) Defining process design space for monoclonal antibody culture. Biotechnol Bioeng 106:894–905

    Article  CAS  Google Scholar 

  • Blanco M, Maspoch S, Villarroya I, Peralta X, Gonzalez JM (2001) Geographical origin classification of petroleum crudes from near-infrared spectra of bitumens. J Appl Spectrosc 55:834–839

    Article  CAS  Google Scholar 

  • Burns EW, Ciruczak EW (2001) Handbook of near infrared analysis, revised and expanded, 2nd edn. Marcel Dekker, New York, NY

    Google Scholar 

  • Candolfi A, De Maesschalck RD, Jouan-Rimbaud PA, Hailey DL, Massart J (1999) The influence of data pre-processing in the pattern recognition of excipients near-infrared spectra. Pharm Biomed Anal 21:115–132

    Article  CAS  Google Scholar 

  • Czarnik-Matusewicz B, Murayama K, Tsenkova R, Ozaki Y (1999) Analysis of near-infrared spectra of complicated biological fluids by two-dimensional correlation spectroscopy: protein and fat concentration-dependent spectral changes of milk. Appl Specrosc 53(12):1582–1594

    Article  CAS  Google Scholar 

  • de Groot PJ, Postma GJ, Melssen WJ, Buydens LMC (2001) Influence of wavelength selection and data preprocessing on near-infrared-based classification of demolition waste. Appl Spectrosc 55:173–181

    Article  Google Scholar 

  • Eriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikstrom C, Wold S (2007) Multi and megavariate data analysis part I. Umetrics AB, Umea, Sweden

    Google Scholar 

  • Fussenegger M, Betenbaugh MJ (2002) Metabolic engineering II, eukaryotic systems. Biotechnol Bioeng 79(5):509–531

    Article  CAS  Google Scholar 

  • Gong F, Fung YS, Liang YZ (2004) Determination of volatile components in ginger using gas chromatography–mass spectrometry with resolution improved by data processing techniques. J Agric Food Chem 52(21):6378–6383

    Article  CAS  Google Scholar 

  • Jose GE, Folque F, Menezes JC, Werz S, Strauss U, Hakemeyer C (2011) Predicting Mab production yield from cultivation media components, using near-infrared and 2D-fluorescence spectroscopies. Biotechnol Prog 27:1339–1346

    Article  CAS  Google Scholar 

  • Kim JM, King JS, Park DH, Kang HS, Yoon J, Baek K, Yoon Y (2004) Improved recombinant gene expression in CHO cells using matrix attachment regions. J Biotechnol 107:95–105

    Article  CAS  Google Scholar 

  • Kirdar AO, Chen GX, Weidner J, Rathore AS (2009) Application of near infrared (NIR) spectroscopy for screening of raw materials used in the cell culture medium for the production of a recombinant therapeutic protein. Biotechnol Prog 26(2):527–531

    Google Scholar 

  • Lee HW, Christie A, Liu JJ, Yoon S (2012) Estimation of raw material performance in mammalian cell culture using Near Infrared Spectra combined with chemometrics approaches. Biotechnol Prog 28(3):824–832

    Article  CAS  Google Scholar 

  • Li GY, Thompson M, Dicarlo E (2005) A chemometric model for determination of cartilage grade by infrared fiber optic probe spectroscopy. Appl Spectrosc 59(12):1527–1533

    Article  CAS  Google Scholar 

  • Luo Y, Chen G (2007) Combined approach of NMR and chemometrics for screening peptones used in the cell culture medium for the production of a recombinant therapeutic protein. Biotechnol Bioeng 97(6):1654–1659

    Article  CAS  Google Scholar 

  • Manfred UA, Bromba HZ (1981) Application hints for Savitzky–Golay digital smoothing filters. Anal Chem 53(11):1583–1586

    Article  Google Scholar 

  • Marquardt LA, Arnold MA, Small GW (1993) Near-infrared spectroscopic measurement of glucose in a protein matrix. Anal Chem 65:3271–3278

    Article  CAS  Google Scholar 

  • Melucci D, Monti D, D’Elia M, Luciano G (2012) Rapid in situ repeatable analysis of drugs in powder form using reflectance near infrared spectroscopy. J Forensic Sci 57(1):86–92

    Article  CAS  Google Scholar 

  • Rantanen J, Wikstro H, Turner R, Taylor LS (2005) Use of in-line near-infrared spectroscopy in combination with chemometrics for improved understanding of pharmaceutical processes. Anal Chem 77:556–563

    Article  CAS  Google Scholar 

  • Roggo Y, Duponchel L, Huvenne JP (2004) Quality evaluation of sugar beet (Beta vulgaris) by near-infrared spectroscopy. J Agric Food Chem 52:1051–1061

    Article  Google Scholar 

  • Roggo Y, Chalus P, Maurer L, Lema-Martinez C, Edmond A, Jent N (2007) A review of near infrared spectroscopy and chemometrics in pharmaceutical technologies. J Pharma Biomed Anal 44:683–700

    Article  CAS  Google Scholar 

  • Seth G, Charaniya S, Wlaschin KF, Hu WS (2007) In pursuit of a super producer—alternative paths to high producing recombinant mammalian cells. Curr Opin Biotechnol 18:557–564

    Article  CAS  Google Scholar 

  • Sukuta S, Bruch R (1999) Factor analysis of cancer Fourier transform infrared evanescent wave fiberoptical (FTIR-FEW) spectra. Lasers Surg Med 24:382–388

    Article  CAS  Google Scholar 

  • Tanaka K, Kuba Y, Sasaki T, Hiwatashi F, Komatsu K (2008) Quantitation of curcuminoids in curcuma rhizome by near-infrared spectroscopic analysis. J Agric Food Chem 56(19):8787–8792

    Article  CAS  Google Scholar 

  • Taylor WG, Dworkin RA, Pumper RW, Evenas VJ (1972) Biological efficacy of several commercially available peptones for mammalian cells in culture. Exp Cell Res 74(1):275–279

    Article  CAS  Google Scholar 

  • William P, Norris K (1987) Near-infrared technology in the agricultural and food industries, American Association of Cereal Chemists. St. Paul, MN

  • Workman J, Weyer JL (2007) Practical guide to interpretive near-infrared spectroscopy. CRC, Baca Raton, FL

    Google Scholar 

  • Wu W, Walczak B, Massart DL, Prebble KA, Last IR (1995) Spectral transformation and wavelength selection in near-infrared spectra classification. Anal Chim Acta 315:243–255

    Article  CAS  Google Scholar 

  • Wurn FM (2004) Production of recombinant therapeutics in cultivated mammalian cells. Nat Biotech 22:1393–1398

    Article  Google Scholar 

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Correspondence to Guiyang Li.

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Li, G., Wen, Zq. Screening soy hydrolysates for the production of a recombinant therapeutic protein in commercial cell line by combined approach of near-infrared spectroscopy and chemometrics. Appl Microbiol Biotechnol 97, 2653–2660 (2013). https://doi.org/10.1007/s00253-013-4694-3

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  • DOI: https://doi.org/10.1007/s00253-013-4694-3

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