On‐line monitoring of human prostate cancer cells in a perfusion rotating wall vessel by near‐infrared spectroscopy

Abstract

PC-3 human prostate cancer cells have been cultivated in a rotating wall vessel in which glucose, lactate, and glutamine profiles were monitored noninvasively and in real time by near-infrared (NIR) spectroscopy. The calibration models were based on off-line spectra from tissue culture experiments described previously (Rhiel et al., Biotechnol Bioeng 77:73-82). Monitoring performance was improved by Fourier filtering of the spectra and initial off-set adjustment. The resulting standard errors of predictions were 0.95, 0.74, and 0.39 mM for glucose, lactate, and glutamine, respectively. The concentration of ammonia could not be accurately measured from the same spectra. In addition, metabolite uptake and production rates were determined for PC-3 prostate cancer cells during exponential growth in batch-mode cultivation. Cells grew with a doubling time of 21 h and consumed glucose and glutamine at rates of 6.8 and 1.8 x 10(-17) mol/cell.s, respectively. This resulted in lactate and ammonia production rates of 11.9 and 1.3 x 10(-17) mol/cell.s, respectively. Compared with other monitoring technologies, this technology has many advantages for spaceflights and stand-alone units; for instance, calibration can be performed at one time and then applied in a reagentless, low-maintenance way at a later time. The resulting concentration information can be incorporated into closed-loop control schemes, thereby leading to better in vitro models of in vivo behavior.

Interest of locally weighted regression to overcome nonlinear effects during in situ NIR monitoring of CHO cell culture parameters and antibody glycosylation

“…On the contrary, the LWR method was shown to be more robust during this phase since culture spectra were always incorporated into the local PLSR space in order to perform a regression. [47][48][49] In this context, LWR has been proven as a promising method to perform in situ monitoring since it allowed calibration in a wide concentration frame, and also considered the nature of the culture medium. They could also be attributed to the lack of precision or to the presence of noise since even the LWR method showed prediction errors, although weaker, after 120 hr.…”

“…18,22,46 Some other authors have overcome nonlinearity behavior of NIR monitoring models by using at-line analyses of clarified culture medium, as already described. [47][48][49] In this context, LWR has been proven as a promising method to perform in situ monitoring since it allowed calibration in a wide concentration frame, and also considered the nature of the culture medium.…”

A Self-Contained System With CNTs-Based Biosensors for Cell Culture Monitoring

“…Biological compounds can be coupled to the optode for the detection of targets, like glucose and hydrogen peroxide [16]. Near-infrared spectroscopy can quantify the concentration of certain organic species by the analysis of the adsorption bands in the spectrum [17]. Fluorescence sensors are based on the response of particular molecules which emit light after an excitation at particular wavelength.…”

Least squares SVM combined with near infrared spectroscopy for diagnosing endometrial carcinoma

“…The studies of spectral differences between human cancer and normal tissues have been reported for breast [5], cervix [6], lung [7], colorectal [4], prostate [8,9], and other tissues. These studies were mostly based on the assignment of position and intensity of peaks.…”