Near infrared reflectance spectroscopy for the fast identification of PVC-based films.

نویسندگان

  • M Laasonen
  • J Rantanen
  • T Harmia-Pulkkinen
  • E Michiels
  • R Hiltunen
  • M Räsänen
  • H Vuorela
چکیده

Near infrared (NIR) reflectance spectroscopy was used to develop a non-destructive and rapid qualitative method for the analysis of plastic films used by the pharmaceutical industry for blistering. Three types of films were investigated: 250 microm PVC [poly(vinyl chloride)] films, 250 microm PVC films coated with 40 g m(-2) of PVDC [poly(vinylidene dichloride)] and 250 microm PVC films coated with 5 g m(-2) of TE (Thermoelast) and 90 g m(-2) of PVDC. Three analyses were carried out using different pre-treatment options and a PLS (partial least squares) algorithm. Each analysis was aimed at identifying one type of film and rejecting all types of false sample (different thickness, colour or layer). True and false samples from four plastics manufacturers were included in the calibration sets in order to obtain robust methods that were suitable regardless of the supplier. Specificity was demonstrated by testing validation sets against the methods. The tests showed 0% of type I (false negative identification) and 1% of type II errors (false positive identification) for the PVC method, 13 and 3%, respectively, for the PVC-PVDC method and no error for the PVC-TE-PVDC method. Type II errors, mostly due to the slight sensitivity of the methods to film thickness, are easily corrected by simple thickness measurements. This study demonstrates that NIR spectroscopy is an excellent tool for the identification of PVC-based films. The three methods can be used by the pharmaceutical industry or plastics manufacturers for the quality control of films used in blister packaging.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Determination of Protein and Moisture in Fishmeal by Near-Infrared Reflectance Spectroscopy and Multivariate Regression Based on Partial Least Squares

The potential of Near Infrared Reflectance Spectroscopy (NIRS) as a fast method to predict the Crude Protein (CP) and Moisture (M) content in fishmeal by scanning spectra between 1000 and 2500 nm using multivariate regression technique based on Partial Least Squares (PLS) was evaluated. The coefficient of determination in calibration (R2C) and Standard Error of Calibra...

متن کامل

Potential of Near-Infrared Reflectance Spectroscopy (NIRS) to Predict Nutrient Composition of Bromus tomentellus

Determination of forage quality of available species is one of the fundamentalfactors for the management of rangelands. Near-Infrared Reflectance Spectroscopy (NIRS)was used to analysis the Nitrogen (N), Acid Detergent Fiber (ADF), Dry MatterDigestibility (DMD) and Metabolizable Energy (ME) content of three phenological stages(vegetative, flowering and seeding) of Bromus tomentellus samples in ...

متن کامل

Determining Blood Glucose Concentration using Near Infrared Spectroscopy: Early Findings

Introduction: Diabetes mellitus is one of the diseases that have grown dramatically in today's societies. People with diabetes should continuously measure their blood glucose level. Continuous blood glucose measurement by commonly used methods is painful and difficult. On the other hand, mobile phone can be a useful tool for accessing physicians and telemedicine services more easily. The aim of...

متن کامل

Determining Blood Glucose Concentration using Near Infrared Spectroscopy: Early Findings

Introduction: Diabetes mellitus is one of the diseases that have grown dramatically in today's societies. People with diabetes should continuously measure their blood glucose level. Continuous blood glucose measurement by commonly used methods is painful and difficult. On the other hand, mobile phone can be a useful tool for accessing physicians and telemedicine services more easily. The aim of...

متن کامل

Determination of Leaf Relative Water Content of Two Genotypes of Sesame Using Visible and Near- Infrared (VIS/NIR) Spectrometry to Detect Drought Stress

Relative water content (RWC) in plants is one of the most important biochemical parameters and its deficiency limits efficiency of photosynthesis and crop productivity. The scientific reports on using spectroscopy in detecting drought stress for sesame plants are very rare. In this study, the possibility of identifying water stress in two sensitive (Naz-Takshakhe) and resistant (Yekta) genotype...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • The Analyst

دوره 126 7  شماره 

صفحات  -

تاریخ انتشار 2001