The Calibration of Data Loggers for the Characterization of Sterilization Autoclaves

Benyon, R.; Lucas, Javier de; Elvira, G.; Fuentes, Héctor R.

doi:10.1007/s10765-011-1102-z

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…R. Benyo further used a mathematical approach with the recommended interpolation function for temperature correction. The use of interpolation correction is greatly influenced by the initial data collection, so adjustments are needed when used on other devices [9]. Guanhua Xu also conducted a research project where he conducted a multi-parameter test, but it was used at low temperatures instead of at high temperatures [10].…”

Section: Introductionmentioning

confidence: 99%

Nine Channels Temperature Data Logger Design for Dry Sterilizer Calibration

Syaifudin

Titisari

Kumar³

2022

j.teknokes

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In the process of sterilizing medical devices, a sterilizer that is able to produce an accurate and even temperature is needed. If the resulting temperature is not in accordance with the regulated temperature and is not evenly distributed, it will be fatal/damage to the material sterilized. Periodic calibration should be applied to the sterilizer to monitor its function. Based on the research that has been done, no one has done research on making a temperature data logger with 9 channels to calibrate the sterilizer. This study aims to design a temperature measuring device with 9 sensors that can measure simultaneously, so that the accuracy and the distribution of the temperature of a sterlisator can be obtained. This tool used a K thermocouple-type temperature sensor which will detect the temperature and further enters the analog signal conditioning circuit. This then enters the ATMegga 2560 which has been programmed and processed in such a way, leading to the display of the temperature on the 4x20 character LCD. Temperature measurement data will be further stored to SD Card every 10 seconds in the form of a txt file. Tests were carried out on sterilizers, continued by comparison with the Madgetech OctTemp2000 data logger. Based on the measurement and comparison data, the average error was obtained at a temperature of 50ºC with the smallest error value of 0.7% and the largest error value of 3.9%. At a temperature of 100ºC, the smallest error value is 1.6% and the largest error value is 10.5%. Furthermore, at a temperature of 120ºC, the smallest error value is 0.0% and the largest error value is 8.5%. The module resulting from this research is stable in response to temperature by looking at the very small uncertainty value. This research can be further used to help analyze the temperature distribution in a sterilizer. With these measurement results, this study is considered having a fairly high error value at several measurement points.

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Section: Introductionmentioning

confidence: 99%

Nine Channels Temperature Data Logger Design for Dry Sterilizer Calibration

Syaifudin

Titisari

Kumar³

2022

j.teknokes

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“…Example applications of the data logger are for the main component of wireless weather stations and environment monitoring [2][3][4][5], medical imaging [6], sterilization autoclaves [7], digital oilfield deployments [8], and ocean bottom seismometers [9]. While the data logger has been widely used for various applications, some applications require that the data logger be placed outdoors.…”

Section: Introductionmentioning

confidence: 99%

Design of a dual-microcontroller scheme to overcome the freeze problem for a smart data logger

Mahendra

Syamsi

2014

2014 2nd International Conference on Information and Communication Technology (ICoICT)

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Screen freeze (or no response) is a condition that often occurs in a Personal Computer (PC). In this condition, the PC has lost the ability to respond to its application programs. The same thing can also happen to a data logger, which is usually constructed by using a microcontroller or embedded processor. We propose a design of a dual microcontroller to overcome hang, or no response, of the main microcontroller in a data logger. One of the smart features is an auto restart or reboot, so the data logger with the 'no response' condition is able to reboot without operator assistance. We used an ATmega128 as the main or master microcontroller and an ATtiny13 as the watchdog or slave microcontroller. The watchdog microcontroller detects the activity of the main microcontroller by monitoring a periodic signal from the main microcontroller. If a disruption occurs in the system and the main microcontroller is not able to send this periodic signal, the watchdog microcontroller would determine that a system failure has occurred. System failure will trigger the watchdog microcontroller to activate a relay to reset the main microcontroller. This capability is expected to increase the stability of the data logger and minimize the measurement data lost.

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