Remote quantification system and method

Abstract

The invention discloses a remote quantification system and method. A sample detection module detects a target sample; the specific information identification module identifies specific information; the data transmission module transmits the sample detection signal data and the specific identification information to the remote quantification module; the processing sub-module calls the corresponding matched standard curve when the identification information is qualified and the matched standard curve exists, and performs comparison operation on the sample detection signal data and the standard curve to obtain detection data and / or character marking information; for the standard curve of which the identification information is qualified but is not matched, it is returned to wait for the standard curve to make related words, a request for making the standard curve is sent to the maintenance sub-module, and after the maintenance sub-module returns a new standard curve, comparison operation is performed on sample detection signal data and the standard curve to obtain detection data and / or character marking information; if the identification information is unqualified, characters related to unqualified conditions are directly returned; and the result display module displays the detection data and / or the character marking information fed back by the data transmission module.

Description

technical field [0001] The invention relates to the technical field of quantitative detection, in particular to a remote quantitative system and method. Background technique [0002] In the on-site quantitative detection, in order to accurately obtain the content of the substance to be tested in the sample, the first step is to detect the sample through a specific detection method / technology (equipment), and obtain the physical signal (electricity, light, sound, etc.) corresponding to the substance to be tested. etc.), and then compare and calculate the physical signal amount with the standard curve (or calibration curve, calibration curve and calibration curve) prepared by the same detection method for the standard substance, so as to realize the quantification of the substance to be tested in the sample . [0003] The standard way to obtain the above-mentioned standard curve is on-site production, that is, the same detection equipment is used to simultaneously detect the ...

AI Technical Summary

Problems solved by technology

However, it is often difficult to implement standard sample testing in the field environment

First of all, the workload of standard sample detection is generally 4 to 10 times that of a single sample to be tested, resulting in a very low detection efficiency; secondly, even if only one sample to be tested is tested, a complete set of standard samples needs to be matched, resulting in high testing costs. A substantial increase

[0004] The way to replace the on-site production of standard curves is to prefabricate a set of standard curves for testing equipment and update them regularly, but there are major defects in this method: 1. The prefabricated standard curves are all test results in conventional environments, which are different from on-site environmental data (such as temperature , humidity and air pressure, etc.) are not necessarily the same, resulting in inaccurate or even wrong test results; 2. There are often differences in the activity of substances on chemical or biological reagents, chips, sensors, and test cards shipped from different batches. Or there is attenuation over time, and there will be differences in detection even in a conventional environment. If the detection environment changes, the difference will be further amplified

Among them, the difference in temperature and humidity in the mine has a significant impact on the output results. The reason is that the sensitive element of the methane sensor is a very strict structure. On the one hand, the heat exchange of the surrounding air has a greater impact on the sensitivity of the catalytic element; on the other hand On the one hand, the concentration of water vapor in coal mines is high, and the steam will be adsorbed on the surface active components of the catalytic element to cause corrosion of the catalytic element, and the water vapor will aggravate the carbon deposition phenomenon, inhibit the progress of the catalytic reaction, and reduce the reaction rate, etc.

These will lead to deviations between the actual detection value and the standard value

[0006] For another example, electrochemical biosensors are mainly used for on-site biological detection. Because the activities of biomolecules such as nucleic acids, antibodies, antigens, or enzymes used to enzymatically amplify electrical signals on their working electrodes are easily affected by ambient temperature and humidity, During on-site real-time detection, the temperature and humidity cannot be controlled within the normal range of values ​​as in the laboratory. The output signal of the detection is compared with the standard curve made in the normal environment that comes with the detection system. After calculation, the output test results There will be a large deviation, which will greatly reduce the accuracy of on-site real-time detection

In addition, nucleic acids, enzymes, antigens, or antibodies are immobilized on biosensors. Different batches of such biological substances have different activities, even under the same detection conditions. Obvious degradation, therefore, the difference in batches of biosensors and supporting reagents will have a greater adverse effect on the accuracy of detection results

Images