A method to determine oxygen concentration in penicillin vials using temperature parameter

ZHU Gaofeng; YANG Chunhua; ZHU Hongqiu; GUI Weihua; ZHU Jianping

doi:10.11949/j.issn.0438-1157.20170737

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A method to determine oxygen concentration in penicillin vials using temperature parameter

更新时间：2025-12-10

- A method to determine oxygen concentration in penicillin vials using temperature parameter
- CIESC Journal Issue 12, Pages: 4658-4664(2017)
- 作者机构：
  
  1. 中南大学信息科学与工程学院,湖南,长沙,410083
  2. 湖南人文科技学院信息学院,湖南,娄底,417000
  3. 楚天科技股份有限公司研发中心,湖南,长沙,410600
- 作者简介：
- 基金信息：
- DOI：10.11949/j.issn.0438-1157.20170737
  CLC： 439
- Online First：05 December 2017，
  
  Published：05 December 2017
- 稿件说明：
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ZHU Gaofeng, YANG Chunhua, ZHU Hongqiu, et al. A method to determine oxygen concentration in penicillin vials using temperature parameter[J]. CIESC Journal, 2017, (12): 4658-4664.
DOI：

ZHU Gaofeng, YANG Chunhua, ZHU Hongqiu, et al. A method to determine oxygen concentration in penicillin vials using temperature parameter[J]. CIESC Journal, 2017, (12): 4658-4664. DOI： 10.11949/j.issn.0438-1157.20170737.

摘要

目前西林瓶内氧气浓度多采用离线抽样破坏性检测，存在耗时长、精度低、漏检率高等不足。应用可调谐半导体激光吸收光谱（TDLAS）理论，构建氧气浓度与温度、二次谐波强度之间的理论关系模型，提出一种利用温度参量在线检测瓶内氧气浓度的方法。详细阐述了实验设计方法和步骤，优化了最佳入射角和系统主要参数，在气体压强为1atm（101.325 kPa）和温度为296 K的条件下，采集不同氧气浓度的西林瓶作为初始建模样本，建立常规的氧气浓度反演模型。同时样本浓度为21%的西林瓶所对应的二次谐波幅度，作为基于温度参量来定量预测的参考幅度。实验结果表明，利用温度参量检测瓶内氧气浓度能有效克服温度大幅变化对浓度反演的直接影响，预测的均方根误差（RMSEP）相对直接浓度反演预测降低了80.33%。

Abstract

Oxygen concentration in penicillin vials is currently detected by destructive measurement of off-line samples

which has many limitations including long lead time

low precision

and high missing detection rate. Using tunable diode laser absorption spectroscopy (TDLAS)

a theoretical correlation model between oxygen concentration

temperature

and second harmonic signal strength was constructed

and an on-line detection method to determine vial's oxygen concentration was proposed by temperature parameter. The experimental design and procedure were described in detail

angle of incidence and main parameters of the system were optimized. Under condition of 1 atm (101.325 kPa) air pressure and 296 K temperature

a conventional oxygen concentration inversion model was established on vials of different oxygen concentrations. At the same time

the second harmonic signal amplitude of 21% oxygen concentration sample was used as reference for quantitative prediction by temperature parameters. Experimental results show that temperature parameter for detecting vial's oxygen concentration can effectively overcome direct influence of large temperature variation on concentration inversion. The root mean square error of prediction (RMSEP) was reduced by 80.33%

compared to prediction method of relative direct concentration inversion.

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