Rapid Non-Destructive Raw Material Identification in the Cosmetic Industry with Near-Infrared Spectroscopy

1998 ◽  
Vol 6 (A) ◽  
pp. A215-A222 ◽  
Author(s):  
Horst Grunewald ◽  
Christel Kurowski ◽  
Dagmar Timm ◽  
Uwe Grummisch ◽  
Ulrich Meyhack
Keyword(s):  
Quality Control ◽  
Near Infrared ◽  
Product Information ◽  
Raw Material ◽  
Process Efficiency ◽  
Cosmetic Industry ◽  
Control Department ◽  
Reducing Costs ◽  
Non Destructive ◽  
Quality Control Department

Since January 1997 manufacturers of cosmetics products have to follow GMP guidelines. The manufacturer is required to supply extensive product information, comprehensive and exact production guidelines, analytical controls and detailed raw material data. As a result it is strongly recommended to each manufacturer of cosmetic products to install a quality control department. Regulations already accepted and applied in the Pharmaceutical Industry are expected to become more and more important for the cosmetic industry as well. In order to meet legal requirements the cosmetic industry will be forced to instigate a periodical quality control. To accommodate this protocol each container must be checked to see if the content corresponds to the description on the packaging material. A fast and reliable technology is necessary to fulfil these demands! Near-Infrared (NIR) technology plays an increasingly important role in manufacturing as industry strives to improve quality and process efficiency while reducing costs. By controlling the identity of every raw material container, rather than just a small number of samples, a significantly processing benefit will be assured.

scholarly journals WORKLOAD ANALYSIS IN QUALITY CONTROL DEPARTMENT

OPSI ◽  
2018 ◽  
Vol 11 (2) ◽  
pp. 134
Author(s):  
Pinkie Winandari Budaya ◽  
Ahmad Muhsin
Keyword(s):  
Quality Control ◽  
Workload Analysis ◽  
Control Department ◽  
Quality Control Department

scholarly journals Milk as a Complex Multiphase Polydisperse System: Approaches for the Quantitative and Qualitative Analysis

2020 ◽  
Vol 4 (4) ◽  
pp. 151 ◽  
Author(s):  
Alena Smirnova ◽  
Georgii Konoplev ◽  
Nikolay Mukhin ◽  
Oksana Stepanova ◽  
Ulrike Steinmann
Keyword(s):  
Quality Control ◽  
Near Infrared ◽  
Rapid Determination ◽  
Physiological State ◽  
Atomic Spectroscopy ◽  
Milk Analysis ◽  
Polydisperse System ◽  
Advantages And Disadvantages ◽  
Non Destructive

Milk is a product that requires quality control at all stages of production: from the dairy farm, processing at the dairy plant to finished products. Milk is a complex multiphase polydisperse system, whose components not only determine the quality and price of raw milk, but also reflect the physiological state of the herd. Today’s production volumes and rates require simple, fast, cost-effective, and accurate analytical methods, and most manufacturers want to move away from methods that use reagents that increase analysis time and move to rapid analysis methods. The review presents methods for the rapid determination of the main components of milk, examines their advantages and disadvantages. Optical spectroscopy is a fast, non-destructive, precise, and reliable tool for determination of the main constituents and common adulterants in milk. While mid-infrared spectroscopy is a well-established off-line laboratory technique for the routine quality control of milk, near-infrared technologies provide relatively low-cost and robust solutions suitable for on-site and in-line applications on milking farms and dairy production facilities. Other techniques, discussed in this review, including Raman spectroscopy, atomic spectroscopy, molecular fluorescence spectroscopy, are also used for milk analysis but much less extensively. Acoustic methods are also suitable for non-destructive on-line analysis of milk. Acoustic characterization can provide information on fat content, particle size distribution of fat and proteins, changes in the biophysical properties of milk over time, the content of specific proteins and pollutants. The basic principles of ultrasonic techniques, including transmission, pulse-echo, interferometer, and microbalance approaches, are briefly described and milk parameters measured with their help, including frequency ranges and measurement accuracy, are given.

Quality Control of Litchi chinensis Leaf: a Potential Raw Material for Cosmetic Industry

2020 ◽  
Vol 30 (1) ◽  
pp. 139-144
Author(s):  
Liliani C. Thiesen ◽  
Sabrina L. Zonta ◽  
Caroline Regina Ferreira Sobral ◽  
Rene A. Ferreira ◽  
Rodrigo Sant’Ana ◽  
...  
Keyword(s):  
Quality Control ◽  
Raw Material ◽  
Litchi Chinensis ◽  
Cosmetic Industry

Application of Frid’s Knowledge Management Model to an Industrial Enterprise

2015 ◽  
Vol 795 ◽  
pp. 16-23
Author(s):  
Dagmar Caganova ◽  
Ivan Szilva ◽  
Manan Bawa
Keyword(s):  
Quality Control ◽  
Knowledge Management ◽  
Data Collection ◽  
Quantitative Assessment ◽  
Error Rates ◽  
Management Tool ◽  
Management Model ◽  
Control Department ◽  
A Company ◽  
Quality Control Department

This paper was carried out with an aim to use a modified knowledge management model, that could provide a knowledge management tool that would ensure decreased downtimes, error rates and could enhance knowledge transfer for a company. This research involved quantitative assessment in measuring knowledge management success by using designed methodologies accompanied by data collection from the quality control department. The results of this research were the measurement of the knowledge management tool success.

Process quality control of the manufacturing of Chinese Materia Medica by process analysis technology

NIR news ◽  
2019 ◽  
Vol 30 (7-8) ◽  
pp. 14-18
Author(s):  
Lijuan Ma ◽  
Yanjiang Qiao ◽  
Zhisheng Wu
Keyword(s):  
Quality Control ◽  
Near Infrared ◽  
Process Analysis ◽  
Chemical Imaging ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chinese Materia Medica ◽  
Materia Medica ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Non Destructive

Process quality control is essential for the manufacturing of Chinese Materia Medica. Non-destructive monitoring is still a challenge for the quality control of Chinese Materia Medica manufacturing. As the commonly used non-destructive process analysis technology, near infrared spectroscopy, near infrared chemical imaging, and laser-induced breakdown spectroscopy have been applied to the quality control of Chinese Materia Medica manufacturing. The characteristic near infrared bands of 29 natural chemical components have been assigned. Ten spectral pre-processing methods and five variable selection methods have been optimized, respectively. Given the interrelationship among modeling parameters, a system modeling concept was put forward to establish a global model. Accuracy Profile was further proposed as the validation method of models. In addition, the homogeneity of chlorpheniramine maleate tablets from six brands was successfully visualized by near infrared-chemical imaging. As and Hg variation in An-Gong-Niu-Huang Wan have been rapidly monitored by laser-induced breakdown spectroscopy. A systematic modeling method (model establishment, evaluation, and validation) and the non-destructive technology of homogeneity visualization and toxic element detection have been developed for quality control of Chinese Materia Medica manufacturing, which is shown in Figure 1 of the article. These achievements have greatly promoted the research and application of process analysis technology in Chinese Materia Medica manufacturing, laying a solid foundation for the development of intelligent Chinese pharmaceutical industry.

Elements of a Successful Quality Control Department in a Grease Plant

2011 ◽  
Author(s):  
Kimberly Milligan
Keyword(s):  
Quality Control ◽  
Customer Satisfaction ◽  
Management System ◽  
Raw Materials ◽  
Key Factors ◽  
Trained Personnel ◽  
Control Department ◽  
Quality Control Department

The Quality Control (QC) Department in a grease plant is vital to product compliance and customer satisfaction. QC provides the initial inspection of raw materials and finished goods which determines whether the material is acceptable for manufacture or sale. In other words, the QC department is the gateway to customer satisfaction and future accounts. In order to have a successful QC department, the following key factors must be met: properly trained personnel, suitable inspection equipment and a functioning management system. If these three factors are established and continually improved, the QC Department will be effective.

scholarly journals Design and Fabrication of Automated Work Piece Counting and Sorting using Image Processing

2019 ◽  
Vol 8 (6S2) ◽  
pp. 504-506
Keyword(s):  
Image Processing ◽  
Quality Control ◽  
Work Piece ◽  
Logical Control ◽  
Control Department ◽  
Human Effort ◽  
Basic Concepts ◽  
Quality Control Department

In that logical decision, controls is of two types and are microcontroller and PLC (programmable logical control) .PLC based and microcontroller control based systems are used for automation process for in industries. Since automation is very important for an industry to reduce human effort this project is been developed .In this project a system is been implemented for automated work piece counting and rejection that works using microcontroller linked with image processing concept. These kinds of system are mainly used in Quality Control department to remove scraps. This system is built using Arduino controller and the basic concepts of image processing using MATLAB .The rejected materials are collected in separate bins and are removed as scraps.

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