G01N2035/00683

METHOD OF ESTIMATING CHEMICAL OXYGEN DEMAND OF WATER
20230003707 · 2023-01-05 ·

The present disclosure provides a color chart and a test kit for estimating chemical oxygen demand of water. The color chart includes a blue component, an indigo component, an umber component, and an orange component. The test kit includes an oxidant, a reductant, an indicator, and the color chart. The present disclosure also provides a method for estimating chemical oxygen demand of water. The method includes providing a water sample; adding an oxidant to the water sample; heating the water sample; adding a reductant to the water sample; adding an indicator to the water sample, such that the water sample develops a color; and matching the color of the water sample with the color components of the color chart to estimate the chemical oxygen demand of the water sample.

METHOD FOR DETECTING AND REPORTING AN OPERATION ERROR IN AN IN-VITRO DIAGNOSTIC SYSTEM AND AN IN-VITRO DIAGNOSTIC SYSTEM
20230229541 · 2023-07-20 ·

The present disclosure refers to a method for detecting and reporting an operation error in an in-vitro diagnostic system (1) for determining a sample of a bodily fluid, comprising: providing a plurality of sample vessels (2) each containing a sample of a bodily fluid; and providing a plurality of functional modules (3), comprising an analysis device (4) configured to determine the sample, a handling system (5) configured to handle the plurality of sample vessels (2), and an automation track (6) provided by the handling system (5) and configured to transport the plurality of sample vessels (2) to the analysis device (4). The method further comprises: providing an operation control device (7) connected to at least one of the functional modules (3) and configured to control operation of the at least one functional module (3), and comprising one or more data processors (8), wherein an application software is running on the one or more data processors (8) for controlling operation of the at least one functional module (3); controlling operation of the at least one functional module (3) by the operation control device (7); and detecting and reporting an operation error by an error detecting and reporting device (9), comprising: detecting the operating error for the operation of at least one of the plurality of functional modules (3) and the operation control device (7), providing error data indicative of the operation error, receiving a user input through a user interface (10) after detecting the operation error, providing labelling data in response to receiving the user input, the labelling data being indicative of information related to the operating error in addition to the error data, providing error report data comprising the error data and the labelling data, and transmitting the error report data to an error repository (11) remotely located with respect to both the plurality of functional modules (3) and the operation control device (7); receiving the error report data in a machine learning process running in a data processing device connected to the error repository (11); processing the error report data by the machine learning process in the data processing device; providing a application software update for the application software in response to the processing of the error report data by the machine learning process in the data processing device; providing the application software update to the operation control device (7); and controlling operation of the at least

ADAPTIVE LIGHT BARRIER PROCESSING
20230096436 · 2023-03-30 ·

A method for adaptive signal processing of each trace originating from the photosensor. The method comprises an automatic detection of the voltage level of the target signal and the background noise. Based on the determined voltages advantageous decision limits are calculated. Such decision limits can be used to detect, for example, the temporal length of the signal. Due to a dynamic calculation of the decision limits, these limits are optimal for each measured voltage curve. The system is also able to detect a measurement with only noise and mark it as incomplete.

Color chart, test kit, and method of estimating chemical oxygen demand of water

The present disclosure provides a color chart and a test kit for estimating chemical oxygen demand of water. The color chart includes a blue component, an indigo component, an umber component, and an orange component. The test kit includes an oxidant, a reductant, an indicator, and the color chart. The present disclosure also provides a method for estimating chemical oxygen demand of water. The method includes providing a water sample; adding an oxidant to the water sample; heating the water sample; adding a reductant to the water sample; adding an indicator to the water sample, such that the water sample develops a color; and matching the color of the water sample with the color components of the color chart to estimate the chemical oxygen demand of the water sample.

SYSTEMS AND METHODS FOR MULTI-ANALYSIS

Systems and methods are provided for sample processing. A device may be provided, capable of receiving the sample, and performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing multiple assays. The device may comprise one or more modules that may be capable of performing one or more of a sample preparation, sample assay, and detection step. The device may be capable of performing the steps using a small volume of sample.

APPARATUS FOR ANALYZING BIOLOGICAL SAMPLES
20220163508 · 2022-05-26 ·

The present invention relates to a method of operating an apparatus for analyzing biological samples, the apparatus comprising: a receptacle for receiving a replaceable sensor module, the sensor module comprising one or more sensors and a writable memory; a measurement unit configured to bring a biological sample into operational interaction with at least a first sensor of the one or more sensors of a sensor module received by said receptacle, to obtain a measurement result responsive to the interaction between at least the first sensor and the biological sample and to output the obtained measurement result; a control unit configured to control operation of the measurement unit; an data exchange interface configured to receive data from the writable memory and to forward data to the sensor module for storage in the writable memory; and a communications interface for communicating with a remote host system; wherein the method comprises performing the following steps by the control unit: receiving, from the remote host system via said communications interface, one or more operational parameters associated with the sensor module; causing writing, via said data exchange interface, the received one or more operational parameters to the writable memory; and controlling operation of the measurement unit in accordance with the received one or more operational parameters.

Quality control method, quality control system, management apparatus, analyzer, and quality control abnormality determination method

Provided are a quality control method, a quality control system, a management apparatus, an analyzer, and a quality control abnormality determination method in which measurement results of both a quality control substance and a specimen are sufficiently utilized to improve the quality of quality control. The quality control method used in a management apparatus which is connected via a network to an analyzer installed in each of a plurality of facilities includes obtaining, from an analyzer in each facility via a network, first quality control information obtained by measuring an artificially generated quality control substance, and second quality control information obtained by measuring a plurality of specimens by the analyzer in each facility; and outputting information concerning quality control of an analyzer in at least one facility, based on the obtained first quality control information and second quality control information.

AUTOMATIC SENSOR SCREENING AND DETECTION DEVICE
20230333132 · 2023-10-19 ·

The present disclosure provides an automatic sensor screening and detection device, including a box, transfer mechanisms arranged in the box, a test apparatus, a cleaning apparatus, and an air showering apparatus. The transfer mechanisms are configured to sequentially move the detection electrode plate to a clamping piece carrier tray, the test apparatus, the cleaning apparatus, the air showering apparatus, and the clamping piece carrier tray. The test apparatus is provided with a liquid immersion tank and a test board. The detection electrode plate is immersed in the liquid immersion tank. Test probes arranged on the test board are in contact with the detection electrode plate. The test probes are connected to a computer via shielded wires. The cleaning nozzles arranged on the cleaning apparatus are aligned with the detection electrode plate to perform pure water spray cleaning. The air showering micro-holes arranged on the air showering apparatus are aligned with the detection electrode plate to perform air showering drying.

Method of estimating chemical oxygen demand of water

The present disclosure provides a color chart and a test kit for estimating chemical oxygen demand of water. The color chart includes a blue component, an indigo component, an umber component, and an orange component. The test kit includes an oxidant, a reductant, an indicator, and the color chart. The present disclosure also provides a method for estimating chemical oxygen demand of water. The method includes providing a water sample; adding an oxidant to the water sample; heating the water sample; adding a reductant to the water sample; adding an indicator to the water sample, such that the water sample develops a color; and matching the color of the water sample with the color components of the color chart to estimate the chemical oxygen demand of the water sample.

QUALITY CONTROL METHOD, QUALITY CONTROL SYSTEM, MANAGEMENT APPARATUS, ANALYZER, AND QUALITY CONTROL ABNORMALITY DETERMINATION METHOD
20220276273 · 2022-09-01 ·

Provided are a quality control method, a quality control system, a management apparatus, an analyzer, and a quality control abnormality determination method in which measurement results of both a quality control substance and a specimen are sufficiently utilized to improve the quality of quality control. The quality control method used in a management apparatus which is connected via a network to an analyzer installed in each of a plurality of facilities includes obtaining, from an analyzer in each facility via a network, first quality control information obtained by measuring an artificially generated quality control substance, and second quality control information obtained by measuring a plurality of specimens by the analyzer in each facility; and outputting information concerning quality control of an analyzer in at least one facility, based on the obtained first quality control information and second quality control information.