An apparatus to simulate biocide performance in crude oil pipeline conditions is disclosed. The apparatus includes: a reactor to simulate a two-phase crude oil pipeline which includes a crude oil phase above a water phase. The reactor has an agitator to control a flow of the water phase in the reactor in response to a motor that drives an agitation rate of the agitator. A crude oil inlet supplies crude oil to the reactor for the crude oil phase. A water inlet supplies water to the reactor for the water phase. A control circuit is configured by code to control a proportion of the water to the crude oil supplied to the reactor and to control the motor to drive a desired agitation rate of the agitator. A biocide inlet supplies biocide to the reactor. A water sample outlet enables sampling of the water phase of the reactor.

Methods and apparatuses to non-destructively and periodically sample a small quantity of intracellular proteins and mRNA from the same single cell or cells for an extended period of time. Specifically, describe herein are non-perturbative methods for time-resolved, longitudinal extraction and quantitative measurement of intracellular proteins and nucleic acids from a variety of cell types using systems including nanostraws.

A device of measuring an amount of lipid accumulation in microalgae includes a flow cell through which a fluid containing the microalgae is supplied to flow, an excitation light source irradiating the flow cell with excitation light, a fluorescence detector detecting autofluorescence generated from a chloroplast of each of the microalgae that have been irradiated with the excitation light, a scattered light detector detecting scattered light caused by each of the microalgae that have been irradiated with the excitation light, and an arithmetic unit calculating a size of the microalga from intensity of the scattered light, calculating a fluorescence density corresponding to intensity of the autofluorescence generated from the chloroplast per unit size of the microalga based on both the intensity of the autofluorescence generated from the chloroplast and the size of the microalga, and calculating an amount of lipid accumulation per microalga from the fluorescence density.

A computer implemented method for monitoring a bioprocess comprising a cell culture in a bioreactor is provided. The method including the steps of: obtaining measurements of the amount of biomass and the amount of one or more metabolites in the bioreactor as a function of bioprocess maturity, using the measurements to determining one or more metabolic condition variables; using a pre-trained multivariate model to determine the value of one or more latent variables as a function of bioprocess maturity, wherein the multivariate model is a linear model that uses process variables including the metabolic condition variables as predictor variables and maturity as a response variable; comparing the value(s) of the one or more latent variables to one or more predetermined values as a function of maturity; and determining on the basis of the comparison whether the bioprocess is operating normally.

A method for predicting the metabolic state of a cell culture of cells of a specific cell type includes providing a metabolic model of a cell of the specific cell type, and performing at each of a plurality of points in time during cultivation of the cell culture, receiving measured concentrations of a plurality of extracellular metabolites and a measured cell density in the culture medium; inputting the received measurements as input parameter values to a trained machine learning program logic—MLP; predicting extracellular fluxes of the extracellular metabolites at a future point in time by the MLP; performing metabolic flux analysis to calculate the intracellular fluxes at the future point in time based on the predicted extracellular fluxes and the stoichiometric equations of the metabolic model.

An apparatus to simulate biocide performance in crude oil pipeline conditions is disclosed. The apparatus includes: a reactor to simulate a two-phase crude oil pipeline which includes a crude oil phase above a water phase. The reactor has an agitator to control a flow of the water phase in the reactor in response to a motor that drives an agitation rate of the agitator. A crude oil inlet supplies crude oil to the reactor for the crude oil phase. A water inlet supplies water to the reactor for the water phase. A control circuit is configured by code to control a proportion of the water to the crude oil supplied to the reactor and to control the motor to drive a desired agitation rate of the agitator. A biocide inlet supplies biocide to the reactor. A water sample outlet enables sampling of the water phase of the reactor.

A biological component treatment system includes a biological component kit, and a biological component treatment device in which the biological component kit is set. The biological component kit includes tubes and a biological component cassette, the biological component cassette includes flow paths in the interior thereof, and is equipped with a cassette main body formed in a sheet shape that possesses flexibility. In the flow paths, there are provided target parameter detection parts that make it possible to detect parameters related to the culturing of cells, and the target parameter detection parts include chips that undergo coloring in response to a predetermined substance contained in a liquid. Further, the biological component treatment device includes optical sensors that detect parameters related to culturing of cells.

The subject matter of this specification can be implemented in, among other things, methods, systems, computer-readable storage medium. A method can include receiving cell growth data with a current cell culture of a cell growth system. The cell growth data includes growth input parameter values indicative of a growth rate of the current cell culture. The method can further include identifying, using a first machine learning model, a prescriptive action to alter a yield of a target product of the current cell culture based on the cell growth data. The prescriptive action modifies a metabolism rate of the current cell culture. The method further includes performing at least one of displaying the identified prescriptive on a graphical user interface (GUI) and/or causing the cell growth system to perform the identified prescriptive action.

A technique for learning and steering evolutionary dynamics may include initializing a bioreactor including a population of evolving organisms; determining selection pressures; (a) applying the selection pressures to the population; (b) determining the population state and storing it in a population dataset; (c) detecting whether the population has reached a stable state; (d) if the population has reached the stable state: obtaining data representing the stable state, redetermining the selection pressures based on a selection pressure policy, and storing the data and the redetermined selection pressures in a stable state dataset; (e) determining whether one or more stopping criteria have been met; and repeating steps (a)-(e) until at least one of the stopping criteria is met.

In some embodiments, the invention provides tissue-on-a-chip and organ-on-a-chip devices with integrated, on-board photonic integrated circuit optical sensors that allow real-time detection of analytes released from cells disposed on either side of a porous, ultrathin membrane within the device. The invention further provides modular devices for studying cells and interactions between and among cell types. The devices and methods using them are useful for, among other thing, modeling the biological and physiological interactions of cells of different tissue types, allowing high-throughput screening of drug candidates, and informing safety and efficacy in a virtual clinical trial.