Quality Control in Clinical Laboratories

Καρκαλούσος, Πέτρος; Evangelopoulos, Angelos

doi:10.5772/15865

Cited by 27 publications

(26 citation statements)

References 19 publications

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“…These parameters include deviations from the target samples or concentrations of tested substances. If unknown samples are not related to the designated area, it means they are statistically different with the samples assigned to the reference group (Karkalousos and Evangelopoulos 2011).…”

Section: Chemometric Methodsmentioning

confidence: 99%

Differentiation Between Spirits According to Their Botanical Origin

et al. 2015

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Agricultural distillates are used for the production of spirit beverages. As more and more products with a specific botanical composition specified on the label are produced (e.g. rye vodkas, wheat vodkas and Polish Vodka, which cannot be produced with the addition of maize distillate), it is necessary to look for quicker and more accurate methods allowing the determination of botanical origin of alcoholic beverages and materials used to their production. The aim of this study is to verify the usefulness of the electronic nose based on the ultra-fast gas chromatography for quick differentiation between agricultural distillates according to their botanical origin. Nineteen samples included distillates from rye, triticale, wheat and maize were used for the research. For data analysis, the following methods were used: PCAPrincipal Component Analysis, DFA-Discriminant Function Analysis, SIMCA classification (SIMCASoft Independent Modeling of Class Analogies) and SQC-Statistical Quality Control. The use of the electronic nose with ultra-fast gas chromatography and the use of DFA and SIMCA analyses allowed differentiation between agricultural distillates according to their botanical origin.

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Section: Chemometric Methodsmentioning

confidence: 99%

Differentiation Between Spirits According to Their Botanical Origin

et al. 2015

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“…There is a need to understand the statistical concepts underlying the process and subsequent guidelines framed for accepting or rejecting the results. 3 In any laboratory to assess the validity of the test standard controls are used which are products like patients sample derived from human serum etc. for which the concentration of the analytes are known.…”

Section: Issues In Quality Control Methodsmentioning

confidence: 99%

Understanding statistical concepts in laboratory quality control measures in biomedical research

Juneja

Anand²

2015

Int J Res Med Sci

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“…The goal of this work is to track the influence of three kinds of noise on CSTRs through parameter estimation and simulation. We firstly, track the influence of random noise which is the Gaussian distribution noise on CSTRs and may get into the system randomly, mathematically defined as R.E = (x i −x) [3]. Secondly, we look at the impact of quasi random noise which is like sobol sequence on CSTRs.…”

Section: Introductionmentioning

confidence: 99%

“…Quasi random noise has the property of low-discrepancy means points are generated in a correlation procedure and are located in a such way that the next point to be generated knows where all previous ones are located [7]. Finally, we investigate the effect of systematic random noise which is bias noise or determinate noise with systematic pattern distribution on CSTRs, mathematically defined as S.E =x − µ [3]. This kind of noise may occur in measurements from non-calibrated measurement instrument and hence can be measured, adjusted and corrected [3].…”

Section: Introductionmentioning

confidence: 99%

“…Finally, we investigate the effect of systematic random noise which is bias noise or determinate noise with systematic pattern distribution on CSTRs, mathematically defined as S.E =x − µ [3]. This kind of noise may occur in measurements from non-calibrated measurement instrument and hence can be measured, adjusted and corrected [3]. One can also show how internal noise sources can be transferred to the output terminals of a process, where the noise becomes observable to the outside world.…”

Section: Introductionmentioning

confidence: 99%

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Effect of random noise, quasi random noise and systematic random noise on unknown continuous stirred tank reactor (CSTR)

Muhirwa¹,

Ndanguza²

2017

ams

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Continuously stirred tank reactors (CSTRs) play a big role in chemical engineering and in industries nowadays. Therefore, it is important and necessary to make sure CSTRs work successfully by avoiding disturbance from external factors. In this paper, we look at the impact of different kind of uncertainties (errors) to the model fitting and the parameter estimation of the CSTR's, for both cases of exothermic and endothermic reactors by taking into consideration of high and low variances of noise into concentration and temperature of the model. Two parameters, activation energy E and pre-exponential Arrhenius reaction rate k 0 have been estimated and investigated, due to their sensitivities to the system facilitated by the guessed noisy data and by using Minimization Assimilation Method (MAM). Results showed that, the increase of noise in measurements affects activation energy E much more than the pre-exponential Arrhenius reaction rate k 0 for all types of noise as k 0 converges to its guessed values. Also, from the results obtained, the endothermic CSTR is more sensitive than the exothermic CSTR for any kind of noise according to much deviation observed in its estimated activation energy values. Furthermore, quasi random noise has provided closer values for parameter estimation compared to the remaining types of noise but with negative activation energies for both cases (exothermic and endothermic).

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Quality Control in Clinical Laboratories

Cited by 27 publications

References 19 publications

Differentiation Between Spirits According to Their Botanical Origin

Differentiation Between Spirits According to Their Botanical Origin

Understanding statistical concepts in laboratory quality control measures in biomedical research

Effect of random noise, quasi random noise and systematic random noise on unknown continuous stirred tank reactor (CSTR)

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