A cell culturing system is equipped with a plurality of processing units that perform culturing of cells, a plurality of reactor installation devices in which the plurality of processing units are capable of being respectively installed, a plurality of connection circuits connected respectively to the plurality of processing units, a plurality of circuit control devices which the plurality of connection circuits are capable of being respectively attached to and detached from, and a sensor device. The sensor device is used in common with respect to the plurality of processing units in order to measure components of the culture medium guided into the plurality of processing units. Each of the plurality of processing units includes a plurality of bioreactors.

The present disclosure provides cassettes for use in automated cell engineering systems that include cell concentration filters for reducing fluid volume of a cell sample during or following automated processing. The disclosure also provides methods of concentrating a cell population, as well as automated cell engineering systems that can utilize the cassettes and carry out the methods.

Methods for determining ethylene concentration in an ethylene oligomerization reactor using an ultrasonic flow meter are described, and these methods are integrated into ethylene oligomerization processes and related oligomerization reactor systems.

Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

The invention relates to the field of soil process analysis, in particular to a microcosmic culture device and its application in quantitative analysis of soil carbon diffusion and microbial utilization process. The microcosmic culture device comprises a closed container, an incubator and a dialysis tube in the closed container; The incubator comprises a soil layer; The dialysis tube is connected with the incubator, and part of the tube extends through the side wall of the incubator into the soil layer along the length direction. The dialysis tube is equipped with a carbon source, and the dialysis tube can make the carbon source spread to the soil layer, and always maintain the same water potential inside and outside the dialysis tube. The invention provides a quantitative analysis method for soil carbon diffusion and microbial utilization process based on the microcosmic culture device, through which the relationship between the efficiency of microbial utilization of exogenous carbon source and space can be explored, and the influence of the distance of carbon diffusion on the efficiency of microbial utilization of exogenous carbon can be further quantitatively analyzed.

Disclosed are methods, libraries, and samples for quantifying a target analyte in a laboratory sample including the target analyte. The methods typically include the step of estimating the amount of the target analyte in the laboratory sample from mass spectrometric data including signal intensities for the target analyte and one or more internal standards, where the mass spectrometric data are an output of a mass spectrometric analysis of a target sample produced from the laboratory sample and a predetermined amount of the one or more internal standards. The present disclosure also provides a method for analyte quantification. The method comprises adding one or more calibrators to a sample comprising one or more analytes; applying mass spectrometry (MS) to the sample; and using a trained machine learning model to determine an absolute concentration of the one or more analytes.

The disclosure provides systems and methods for producing a cannabinoid product, which comprises contacting a cannabinoid precursor in a first phase with a cannabinoid synthase in a second phase, wherein the first phase and the second phase are substantially immiscible or immiscible. The disclosure also provides a composition comprising the cannabinoid precursor in a first phase and a cannabinoid synthase in a second phase, wherein the first phase and the second phase are substantially immiscible or immiscible.

A decentralized based biowaste treatment system for treating biowaste (i.e., organic matter type/based waste such as manure, sawdust and/or food scraps) by manner of anaerobic digestion (e.g., an anaerobic digestion based waste-to-resource system) and a method of biowaste treatment in association with the biowaste treatment system.

Aspects of the disclosure relate to biosynthesis of cannabinoids and cannabinoid precursors in recombinant cells and in vitro.