Abstract: An automatic analyzer and a dispensing method of an reagent are provided, in which a troubleshooting time by an operator can be reduced to a shorter one than before. A control device 115 in an automatic analyzer 1: determines from a pressure value of a pressure sensor 202b whether there is an error in dispensing; determines from a capacitance value detected by a capacitance detection mechanism 117b whether a reagent dispensing nozzle, after its lowering is stopped, reaches the liquid level of a reagent; and decides a processing content for the reagent container from results of the determination on whether there is an error in the pressure and the liquid level detection determination.

Abstract: The present invention relates to an improved abnormality determining method for an automatic analyzer and related automatic analyzer that detects abnormalities for a reaction process of a reaction solution. The method for determining the presence of absence of abnormalities in the reaction process and performs the determination by acquiring acquisition conditions for multiple items of measured data, acquiring the measured data detected by a spectral detector that match the acquisition conditions, calculating a feature quantity of the measured data, generating a determination criterion based on the feature quantity, and determining the presence or absence of abnormalities by comparing the feature quantity of the measured data subject to the determination with the determination criterion. The acquisition condition includes information relating to a number of a divisions of a measured value range and information relating to the number of items of data in each divided segment.

Abstract: The purpose of the present invention is to provide an automatic analysis system which, even when a large number of quality control samples is necessary, reduces the time necessary for quality control. To this end, this automatic analysis system is provided with multiple analysis devices (190), a conveyance unit (120) to which the analysis devices (190) are connected, and an operation unit (101) which operates the conveyance unit (120) to convey samples to the analysis device (190), wherein the automatic analysis system has a common storage cabinet (210) for storing the quality control samples that can be supplied to the multiple analysis devices (190), and in accordance with a rule registered in advance for each of the multiple analysis devices (190), the operation unit (101) operates the storage cabinet (210) to automatically convey a quality control sample to an analysis device (190).

Abstract: An automatic analyzer which is capable of detecting a dispensing abnormality with a high degree of accuracy without causing the decrease in the determination performance or the increase in the calculation amount caused by the configuration balance of the reference database is implemented. A dispensing nozzle of a sample dispensing mechanism 50 is immersed in a dispensing target contained in a specimen container 11 and sucks the dispensing target, and internal pressure of the dispensing nozzle of the sample dispensing mechanism 50 of ejecting the sucked dispensing target to a reaction container 41 is detected through a pressure sensor 54. A plurality of feature quantities are extracted from a waveform of the detected pressure, and a determination result is output through a linear combination formula using an optimal coefficient for a determination function that receives a plurality of feature quantities and outputs one value.

Abstract: Provided are an improved abnormality determining method for an automatic analyzer and related automatic analyzer which includes an abnormality determining method for a reaction process of a reaction solution. The abnormality determining method includes: acquisition by a processor of acquisition conditions that include information relating to a number of divisions of a measured value range and information relating to the number of items of data in each divided segment for a plurality of items of measured data; acquisition, of a plurality of items of measured data that are detected using a spectral detector and that match the acquisition conditions; calculation of a feature quantity of the data; generation of the determination criterion on the basis of the feature quantity of the data; and determination of abnormalities by means of a comparison between the feature quantity of the subject data and the determination criterion.

Abstract: The automatic analyzer includes: a member to be washed, such as a probe or a stirrer for contacting and stirring a liquid; a wash station in which the member to be washed is washed with a washing liquid; and a measuring part that measures an optical characteristic of an evaluation reagent contained in a reaction cell. A control unit brings the member to be washed that has been washed in the wash station into contact with the evaluation reagent, causes the measuring part to measure the optical characteristic after contact with the evaluation reagent, and calculates the amount of the washing liquid carried into the reaction cell by the member to be washed, based on the measured optical characteristic.

Abstract: The automatic analyzer includes: a member to be washed, such as a probe or a stirrer for contacting and stirring a liquid; a wash station in which the member to be washed is washed with a washing liquid; and a measuring part that measures an optical characteristic of an evaluation reagent contained in a reaction cell. A control unit brings the member to be washed that has been washed in the wash station into contact with the evaluation reagent, causes the measuring part to measure the optical characteristic after contact with the evaluation reagent, and calculates the amount of the washing liquid carried into the reaction cell by the member to be washed, based on the measured optical characteristic.

Abstract: A pressure signal process unit acquires data under a predetermined condition and a statistic distance between the acquired data and determination-purpose reference data stored in a storage unit is calculated. It is determined whether or not dispensing is abnormal and whether the determination-purpose reference data is suitable for an abnormality detection function to be properly fulfilled. If the determination-purpose reference data is not suitable for an abnormality detection function to be properly fulfilled, temporary determination-purpose reference data is prepared so as to be compared with the previously acquired data under a predetermined condition. If a difference therebetween is greater than a predetermined threshold value, a possibility that an automatic analyzer may have an abnormal component or that a failure may occur in the automatic analyzer is determined, and the result is transmitted to cause a display device to display an alarm.

Abstract: An automatic analyzer that accurately detects dispensation abnormality in dispensation conditions with small suction quantities has a statistical distance calculation unit that calculates characteristic variables regarding a sucking operation in the first dispensation and calculates a statistical distance D from reference data to the characteristic variables extracted from a memory. A comparison unit compares the statistical distance D with a preset threshold value stored in memory and if the statistical distance D is less than the preset threshold value, the first discharging operation is performed. A controller judges whether a single-handed judgment based on a dispensation quantity condition of the second or subsequent dispensation is possible or not. If the single-handed judgment is impossible, reference data is selected based on a judgment quantity regarding the first dispensation.

Abstract: An automatic analyser which is capable of detecting a dispensing abnormality with a high degree of accuracy without causing the decrease in the determination performance or the increase in the calculation amount caused by the configuration balance of the reference database is implemented. A dispensing nozzle of a sample dispensing mechanism sucks the dispensing target, and internal pressure of the dispensing nozzle when ejecting the dispensing target to a reaction container is detected through a pressure sensor. A plurality of feature quantities are extracted from a waveform of the detected pressure, and a determination result is output through a linear combination formula using an optimal coefficient for a determination function that receives a plurality of feature quantities and outputs one value. The determination result indicates whether or not dispensing of the sample dispensing mechanism is performed normally in accordance with the magnitude of the output result of the determination function.

Abstract: The dispensing mechanisms dips a dispensing nozzle in a dispensing target contained in a container 11, 21, and 31, aspirates the dispensing target, and discharges the dispensing target to a reaction container 41. One item of determination-purpose reference data is selected from multiple items of the determination-purpose reference data which is stored in a storage unit 93 and used in determining whether or not the dispensing mechanisms 50, 60, and 70 are abnormal, based on the detection result from a pressure sensor 54 when the dispensing mechanisms 50, 60, and 70 dispense a reference dispensing target configured to contain a known ingredient; and whether or not the dispensing mechanisms 50, 60, and 70 are abnormal is determined, based on the detection result from the pressure sensor 54 and the selected determination-purpose reference data when the dispensing mechanisms 50, 60, and 70 dispense a dispensing target used in analysis.

Abstract: A pressure signal process unit acquires data under a predetermined condition and a statistic distance between the acquired data and determination-purpose reference data stored in a storage unit is calculated. It is determined whether or not dispensing is abnormal and whether the determination-purpose reference data is suitable for an abnormality detection function to be properly fulfilled. If the determination-purpose reference data is not suitable for an abnormality detection function to be properly fulfilled, temporary determination-purpose reference data is prepared so as to be compared with the previously acquired data under a predetermined condition. If a difference therebetween is greater than a predetermined threshold value, a possibility that an automatic analyzer may have an abnormal component or that a failure may occur in the automatic analyzer is determined, and the result is transmitted to cause a display device to display an alarm.

Abstract: A plunger is moved downwardly in predetermined distance while the tip of the sample probe is immersed in a sample to suck the sample into the probe. A pressure sensor detects the pressure fluctuation during the suction operation, an AD converter converting the signals into digital signals to send the signals for a signal processing unit. The signal processing unit extracts feature variables data of a suction waveform to calculate the Statistical distance from normal group data. The Statistical distance an a threshold value are compared with each other, it is judged that there is an abnormality in the suction operation when the Statistical distance is more than or equal to the threshold value. When the Statistical distance is smaller than the threshold value, an operation is proceeded to a discharge operation.

Abstract: An automatic analyzer which performs a suction operation a plurality of times on a same sample has a sample dispensing unit 9, a liquid level sensor which detects the liquid level of the sample in a sample vessel 8, an arithmetic unit 5 which computes a liquid level height h1 at the end of a first suction operation of the two consecutive suction operations from a liquid level height h0 and a sample suction volume V1 detected at the start of the first suction operation, a storage unit 7 which stores the liquid level height h1 computed by the arithmetic unit 5, and a determination unit 18 which compares a liquid level height h2 detected at the start of a second suction operation following the first suction operation with the liquid level height h1 at the end of the first suction operation.

Abstract: Provided is an automatic analyzer capable of detecting not only clogging and air suction of the dispensation probe but also a decrease in the dispensation quantity caused by a bubble film, air bubbles or a highly viscous sample. Each of a sample/reagent suction operation time and a sample/reagent discharge operation time of a probe is segmented into multiple time sections. For each of the time sections determined by the segmentation, a parameter is calculated by applying a detected pressure waveform to an approximation formula. For each of the time section, the presence/absence of a dispensation abnormality is judged by comparing the calculated parameter with a parameter in cases of normal dispensation. An automatic analyzer capable of judging the presence/absence of an abnormality specific to each time section and making abnormality judgments difficult for conventional techniques can be realized.

Abstract: The dispensing mechanisms dips a dispensing nozzle in a dispensing target contained in a container 11, 21, and 31, aspirates the dispensing target, and discharges the dispensing target to a reaction container 41. One item of determination-purpose reference data is selected from multiple items of the determination-purpose reference data which is stored in a storage unit 93 and used in determining whether or not the dispensing mechanisms 50, 60, and 70 are abnormal, based on the detection result from a pressure sensor 54 when the dispensing mechanisms 50, 60, and 70 dispense a reference dispensing target configured to contain a known ingredient; and whether or not the dispensing mechanisms 50, 60, and 70 are abnormal is determined, based on the detection result from the pressure sensor 54 and the selected determination-purpose reference data when the dispensing mechanisms 50, 60, and 70 dispense a dispensing target used in analysis.

Abstract: An automatic analyzer that accurately detects dispensation abnormality in dispensation conditions with small suction quantities has a statistical distance calculation unit that calculates characteristic variables regarding a sucking operation in the first dispensation and calculates a statistical distance D from reference data to the characteristic variables extracted from a memory. A comparison unit compares the statistical distance D with a preset threshold value stored in memory and if the statistical distance D is less than the preset threshold value, the first discharging operation is performed. A controller judges whether a single-handed judgment based on a dispensation quantity condition of the second or subsequent dispensation is possible or not. If the single-handed judgment is impossible, reference data is selected based on a judgment quantity regarding the first dispensation.

Abstract: Provided is an automatic analyzer capable of detecting not only clogging and air suction of the dispensation probe but also a decrease in the dispensation quantity caused by a bubble film, air bubbles or a highly viscous sample. Each of a sample/reagent suction operation time and a sample/reagent discharge operation time of a probe is segmented into multiple time sections. For each of the time sections determined by the segmentation, a parameter is calculated by applying a detected pressure waveform to an approximation formula. For each of the time section, the presence/absence of a dispensation abnormality is judged by comparing the calculated parameter with a parameter in cases of normal dispensation. An automatic analyzer capable of judging the presence/absence of an abnormality specific to each time section and making abnormality judgments difficult for conventional techniques can be realized.

Abstract: A plunger 66 is moved downwardly in predetermined distance while the tip of the sample probe 15 is immersed in a sample to suck the sample into the probe. A pressure sensor 26 detects the pressure fluctuation during the suction operation, an AD converter converting the signals into digital signals to send the signals for a signal processing unit 76. The signal processing unit 76 extracts feature variables data of a suction waveform to calculate the Statistical distance D from normal group data. The Statistical distance D an a threshold value th are compared with each other, it is judged that there is an abnormality in the suction operation when the Statistical distance D is more than or equal to the threshold value th. When the Statistical distance D is smaller than the threshold value th, an operation is proceeded to a discharge operation.

Abstract: An automatic analyzer which performs a suction operation a plurality of times on a same sample has a sample dispensing unit 9, a liquid level sensor which detects the liquid level of the sample in a sample vessel 8, an arithmetic unit 5 which computes a liquid level height h1 at the end of a first suction operation of the two consecutive suction operations from a liquid level height h0 and a sample suction volume V1 detected at the start of the first suction operation, a storage unit 7 which stores the liquid level height h1 computed by the arithmetic unit 5, and a determination unit 18 which compares a liquid level height h2 detected at the start of a second suction operation following the first suction operation with the liquid level height h1 at the end of the first suction operation.