POTENTIAL USE OF THE SCAN STATISTIC FOR QUALITY CONTROL IN BLOOD PRODUCT MANUFACTURING

2005 ◽  
Vol 15 (2) ◽  
pp. 353-366 ◽  
Author(s):  
Peter A. Lachenbruch ◽  
Mary A. Foulkes ◽  
Alan E. Williams ◽  
Jay S. Epstein
Keyword(s):  
Quality Control ◽  
Blood Product ◽  
Scan Statistic ◽  
Product Manufacturing ◽  
Potential Use

Highly sensitive and selective detection of dimethylamine through Nb-doping of TiO2 nanotubes for potential use in seafood quality control

2020 ◽  
Vol 303 ◽  
pp. 127217 ◽  
Author(s):  
Vardan Galstyan ◽  
Andrea Ponzoni ◽  
Iskandar Kholmanov ◽  
Marta M. Natile ◽  
Elisabetta Comini ◽  
...  
Keyword(s):  
Quality Control ◽  
Tio2 Nanotubes ◽  
Selective Detection ◽  
Highly Sensitive ◽  
Nb Doping ◽  
Potential Use

scholarly journals On the asymptotic distribution of the discrete scan statistic

2006 ◽  
Vol 43 (04) ◽  
pp. 1137-1154 ◽  
Author(s):  
Michael V. Boutsikas ◽  
Markos V. Koutras
Keyword(s):  
Quality Control ◽  
Molecular Biology ◽  
Null Hypothesis ◽  
Success Probability ◽  
Poisson Approximation ◽  
Scan Statistic ◽  
Asymptotic Results ◽  
Compound Poisson Approximation ◽  
Extreme Value Theorem ◽  
Positive Integers

The discrete scan statistic in a binary (0-1) sequence of n trials is defined as the maximum number of successes within any k consecutive trials (n and k, n ≥ k, being two positive integers). It has been used in many areas of science (quality control, molecular biology, psychology, etc.) to test the null hypothesis of uniformity against a clustering alternative. In this article we provide a compound Poisson approximation and subsequently use it to establish asymptotic results for the distribution of the discrete scan statistic as n, k → ∞ and the success probability of the trials is kept fixed. An extreme value theorem is also provided for the celebrated Erdős-Rényi statistic.

scholarly journals On the asymptotic distribution of the discrete scan statistic

2006 ◽  
Vol 43 (4) ◽  
pp. 1137-1154 ◽  
Author(s):  
Michael V. Boutsikas ◽  
Markos V. Koutras
Keyword(s):  
Quality Control ◽  
Molecular Biology ◽  
Null Hypothesis ◽  
Success Probability ◽  
Poisson Approximation ◽  
Scan Statistic ◽  
Asymptotic Results ◽  
Compound Poisson Approximation ◽  
Extreme Value Theorem ◽  
Positive Integers

The discrete scan statistic in a binary (0-1) sequence of n trials is defined as the maximum number of successes within any k consecutive trials (n and k, n ≥ k, being two positive integers). It has been used in many areas of science (quality control, molecular biology, psychology, etc.) to test the null hypothesis of uniformity against a clustering alternative. In this article we provide a compound Poisson approximation and subsequently use it to establish asymptotic results for the distribution of the discrete scan statistic as n, k → ∞ and the success probability of the trials is kept fixed. An extreme value theorem is also provided for the celebrated Erdős-Rényi statistic.

A stable blood product for pH-blood-gas quality control.

1978 ◽  
Vol 24 (5) ◽  
pp. 793-795 ◽  
Author(s):  
M C Steiner ◽  
B A Shapiro ◽  
J Kavanaugh ◽  
J R Walton ◽  
W Johnson
Keyword(s):  
Carbon Dioxide ◽  
Quality Control ◽  
Blood Product ◽  
Blood Gas ◽  
Acid Base ◽  
Ph Values ◽  
Carbon Dioxide Concentrations ◽  
Base Stability

Abstract We describe how to prepare, store, and use a hemolyzed blood product for simultaneous pH, pCO2, and pO2 quality control. Tonometry of the blood product with two oxygen and two carbon dioxide concentrations resulted in consistent and reproducible values during 38 weeks. The resulting pH values were consistent and reproducible, demonstrating the metabolic acid-base stability of the blood product. We conclude that the proper preparation, storage, and use of the product results in consistent, reproducible, and economical quality control for pH, pCO2 and pO2 blood measurements.

Use of the Osmometer for Quality Control of Ice Cream Mix1

1985 ◽  
Vol 48 (11) ◽  
pp. 976-978 ◽  
Author(s):  
ROBERT J. BAER ◽  
TIMOTHY P. CZMOWSKI
Keyword(s):  
Quality Control ◽  
Freezing Point ◽  
Ice Cream ◽  
Total Solids ◽  
Freezing Points ◽  
Improve Product ◽  
Control Instrument ◽  
Regulatory Standards ◽  
Potential Use

Fourteen brands of commercial vanilla ice cream, purchased at three different times, were analyzed for freezing point, firmness, fat, solids-not-fat, total solids, and net weight. Mean freezing points ranged from −2.65 ± .04 to −3.24 ± .19°C, which indicated ice cream composition and mix formulations varied. Values for mean penetrometer readings ranged from 120 ± 6.0 to 193 ± 34.9 mm; fat, 9.3 ± .23 to 16.8 ± .20%; solids-not-fat, 25.2 ± .17 to 29.6 ± .64%; total solids, 35.5 ± .25 to 42.0 ± .26%; and net weights, 1.026 ± .045 to 1.756 ± .017 kg/1.89 liter. The freezing point osmometer has potential use as a rapid quality control instrument to measure the freezing point of ice cream mix and detect when improper quantities of soluble mix ingredients have been incorporated into the mix. More testing of mix formulations will improve product uniformity and quality and assure compliance with regulatory standards.

Study on the Product Quality Control in Small Batch Trial Process

2013 ◽  
Vol 694-697 ◽  
pp. 3507-3511 ◽  
Author(s):  
Li Yan Tao ◽  
Man Zhang ◽  
Zu Da Li
Keyword(s):  
Quality Control ◽  
Product Quality ◽  
Historical Data ◽  
Similarity Theory ◽  
Analytic Hierarchy ◽  
Trial Process ◽  
Data Capacity ◽  
Product Manufacturing ◽  
Transformation Methods ◽  
Hierarchy Process

An Analytic Hierarchy Process (AHP) method was used to determine the key process in small batch trial process. Combining with the historical data of the key process in the product manufacturing process, similarity theory and data transformation methods, the data capacity relating to the product quality characteristics were enlarged. Through drawing a control chart of the process, the quality control in small batch trial process was realized.

The application of metabolomics for herbal medicine pharmacovigilance: a case study on ginseng

2016 ◽  
Vol 60 (5) ◽  
pp. 429-435 ◽  
Author(s):  
Elly Crighton ◽  
Ian Mullaney ◽  
Robert Trengove ◽  
Michael Bunce ◽  
Garth Maker
Keyword(s):  
Quality Control ◽  
Herbal Medicine ◽  
Herbal Medicines ◽  
Medical Advice ◽  
Control Methods ◽  
Commercial Value ◽  
Potential Use

Herbal medicines are growing in popularity, use and commercial value; however, there remain problems with the quality and consequently safety of these products. Adulterated, contaminated and fraudulent products are often found on the market, a risk compounded by the fact that these products are available to consumers with little or no medical advice. Current regulations and quality control methods are lacking in their ability to combat these serious problems. Metabolomics is a biochemical profiling tool that may help address these issues if applied to quality control of both raw ingredients and final products. Using the example of the popular herbal medicine, ginseng, this essay offers an overview of the potential use of metabolomics for quality control in herbal medicines and also highlights where more research is needed.

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