pH prediction and control in bioprocesses using mid-infrared spectroscopy

被引:25
作者
Schenk, Jonas [1 ]
Marison, Ian W. [2 ]
von Stockarl, Urs [1 ]
机构
[1] Ecole Polytech Fed Lausanne, Lab Chem & Biol Engn, CH-1015 Lausanne, Switzerland
[2] Dublin City Univ, Sch Biotechnol, Dublin 9, Ireland
关键词
mid-infrared spectroscopy; pH monitoring; on-line bioprocess monitoring; Escherichia coli; multiple linear regression;
D O I
10.1002/bit.21719
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
An on-line pH monitoring method based on mid-infrared spectroscopy relevant to bioprocesses is presented. This approach is non-invasive and does not require the addition of indicators or dyes, since it relies on the analysis of species of common buffers used in culture media, such as phosphate buffer Starting with titrations of phosphoric and acetic acid solutions over almost the entire pH range (2-12), it was shown that the infrared spectra of all samples can be expressed as a linear combination of the I molar absorbance of the acids and their deprotonated forms. In other words, pH had no direct influence on the molar 1 infrared spectra themselves, but only on deprotonation equilibria. Accurate prediction (standard error of prediction for pH < 0. 15 pH units) was achieved by taking into account the non-ideal behavior, of the solutions, using the Debye-Huckel theory to estimate the activity coefficients. Batch cultures of E. coli were chosen as a case study to show how this approach can be applied to bioprocess monitoring. The discrepancy between the spectroscopic prediction and the conventional electrochemical probe never exceeded 0. 12 pH units, and the technique was fast enough to implement a feedback controller to maintain the pH constant during cultivation.
引用
收藏
页码:82 / 93
页数:12
相关论文
共 50 条
  • [41] Prediction of processed cheese instrumental texture and meltability by mid-infrared spectroscopy coupled with chemometric tools
    Fagan, C. C.
    Everard, C.
    O'Donnell, C. P.
    Downey, G.
    Sheehan, E. M.
    Delahunty, C. M.
    O'Callaghan, D. J.
    Howard, V.
    [J]. JOURNAL OF FOOD ENGINEERING, 2007, 80 (04) : 1068 - 1077
  • [42] Using mid-infrared spectroscopy to identify more fertile cows for insemination to sexed semen
    Newton, Joanna E. E.
    Ho, Phuong N. N.
    Pryce, Jennie E. E.
    [J]. ANIMAL PRODUCTION SCIENCE, 2024, 64 (01)
  • [43] Effects of heating on the secondary structure of proteins in milk powders using mid-infrared spectroscopy
    Ye, M. P.
    Zhou, R.
    Shi, Y. R.
    Chen, H. C.
    Du, Y.
    [J]. JOURNAL OF DAIRY SCIENCE, 2017, 100 (01) : 89 - 95
  • [44] High-Precision Sensing of Chemical Warfare Simulants using Mid-Infrared Spectroscopy
    Wyngaard, Jacob T.
    Khan, Mohammad A.
    [J]. DETECTION AND SENSING OF MINES, EXPLOSIVE OBJECTS, AND OBSCURED TARGETS XXVI, 2021, 11750
  • [45] Unsupervised calibration for noninvasive glucose-monitoring devices using mid-infrared spectroscopy
    Kasahara, Ryosuke
    Kino, Saiko
    Soyama, Shunsuke
    Matsuura, Yuji
    [J]. JOURNAL OF INNOVATIVE OPTICAL HEALTH SCIENCES, 2018, 11 (06)
  • [46] Mid-infrared spectroscopy for detection of Huanglongbing (greening) in citrus leaves
    Sankaran, Sindhuja
    Ehsani, Reza
    Etxeberria, Edgardo
    [J]. TALANTA, 2010, 83 (02) : 574 - 581
  • [47] Test on oxygen and benzene contents in gasoline by mid-infrared spectroscopy
    姜旭峰
    赵媛莉
    校云鹏
    孙静
    [J]. JournalofMeasurementScienceandInstrumentation, 2013, 4 (03) : 299 - 301
  • [48] Milk Fatty Acids Estimation by Mid-Infrared Spectroscopy as Proxy for Prediction of Methane Emission in Dairy Cows
    M. O. Okpara
    [J]. Russian Agricultural Sciences, 2019, 45 (4) : 386 - 392
  • [49] Prediction of indicators of cow diet composition and authentication of feeding specificateions of Protected Designation of Origin cheese using mid-infrared spectroscopy on milk
    Coppa, M.
    Martin, B.
    Hulin, S.
    Guillemin, J.
    Gauzentes, J., V
    Pecou, A.
    Andueza, D.
    [J]. JOURNAL OF DAIRY SCIENCE, 2021, 104 (01) : 112 - 125
  • [50] Sensitivity-Enhanced Fourier Transform Mid-Infrared Spectroscopy Using a Supercontinuum Laser Source
    Zorin, Ivan
    Kilgus, Jakob
    Duswald, Kristina
    Lendl, Bernhard
    Heise, Bettina
    Brandstetter, Markus
    [J]. APPLIED SPECTROSCOPY, 2020, 74 (04) : 485 - 493