Diffusive Gradients in Thin Films as a Reference Method for Assessing Soil Phosphorus by Visual and Near-Infrared Spectroscopy

2016 ◽  
Vol 45 (6) ◽  
pp. 2060-2066 ◽  
Author(s):  
Marie van Maarschalkerweerd ◽  
Songjuan Gao ◽  
Jinshun Bai ◽  
Søren Husted ◽  
Weidong Cao ◽  
...  
Keyword(s):  
Thin Films ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Soil Phosphorus ◽  
Reference Method ◽  
Diffusive Gradients

scholarly journals Usage of Near-Infrared Spectroscopy for Inline Monitoring the Degree of Curing in RTM Processes

Polymers ◽  
2021 ◽  
Vol 13 (18) ◽  
pp. 3145
Author(s):  
Moritz Salzmann ◽  
Yannick Blößl ◽  
Andrea Todorovic ◽  
Ralf Schledjewski
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Linseed Oil ◽  
Reference Method ◽  
Relevant Information ◽  
Scanning Calorimetry ◽  
Rtm Process ◽  
Degree Of Curing ◽  
Cost Efficient

Near-infrared spectroscopy (NIR) was implemented in the resin transfer molding (RTM) process to inline monitor the degree of curing of a bio-based epoxy resin, which consists of epoxidized linseed oil (resin) and citric acid (hardener), respectively. A NIR micro-spectrometer was used for the development of robust calibration models using partial least squares (PLS) regression. Since the micro-spectrometer offers a smaller wavelength range compared with conventional NIR devices, and typical absorbance peaks are not directly involved in the captured data range, the results show new insights for the utilization of this technology. Different pre-treatments of the spectroscopic data have been tested, starting with different reference spectra, i.e., uncured resin and polytetrafluorethylene (PTFE), and followed by chemometrical algorithms. As a reference method for the degree of curing, direct current (DC) supported by differential scanning calorimetry (DSC) was used. The results show the potential of these cost-efficient and compact NIR micro-spectrometers for the intended inline monitoring purpose to gain relevant information feedback during the process.

Determination of gel time of prepreg in copper clad laminate industry by near infrared spectroscopy

2020 ◽  
pp. 096703352096379
Author(s):  
Qian-Fa Liu ◽  
Dan Li ◽  
Yao-De Zeng ◽  
Wei-Zhuang Huang
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Manufacturing Process ◽  
Near Infrared ◽  
Reference Method ◽  
Coefficient Of Determination ◽  
Resin Matrix ◽  
Calibration Model ◽  
Gel Time ◽  
Significant Difference

Gel time of prepreg is an important quality determinant in the manufacturing process of Copper Clad Laminate (CCL). Prepreg consists of a glass fiber reinforcement impregnated to a predetermined level with a resin matrix. In this work, near infrared spectroscopy associated with partial least squares (PLS) regression has been applied to analyse the gel time of prepreg samples in the manufacturing process. A total of 250 prepreg samples were randomly divided into a calibration set and a validation prediction set with a ratio of 4:1. The values of Root Mean Square Error of leave-one-out Cross-Validation (RMSECV) and the coefficient of determination (R2) of the calibration model was 2.95 s and 0.92 respectively, with eight PLS factors used. The results of the paired t-test revealed that there was no significant difference between the NIR method and the reference method. The analytical result showed that, NIR spectroscopy was a rapid, nondestructive, and accurate method for real-time prediction of prepreg quality in the CCL manufacturing process.

scholarly journals Simultaneous Quantification of Paracetamol and Caffeine in Powder Blends for Tableting by NIR-Chemometry

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Dana Maria Muntean ◽  
Cristian Alecu ◽  
Ioan Tomuta
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Method Development ◽  
Near Infrared ◽  
Reference Method ◽  
Active Pharmaceutical Ingredients ◽  
Pharmaceutical Ingredients ◽  
Drug Content ◽  
Powder Blends

Near-infrared spectroscopy (NIRS) is a technique widely used for rapid and nondestructive analysis of solid samples. A method for simultaneous analysis of the two components of paracetamol and caffeine from powder blends has been developed by using chemometry with near-infrared spectroscopy (NIRS). The method development was performed on samples containing 80, 90, 100, 110, and 120% active pharmaceutical ingredients, and near-infrared spectroscopy (NIRS) spectra of prepared powder blends were recorded and analyzed in order to develop models for the prediction of drug content. Many calibration models were applied in order to perform quantitative determination of drug content in powder, and choosing the appropriate number of factors (principal components) proved to be of highly importance for a PLS chemometric calibration. Once the methods were developed, they were validated in terms of trueness, precision, and accuracy. The results obtained by NIRS methods were compared with those obtained by HPLC reference method, and no significant differences were found. Therefore, the NIR chemometry methods were proved to be a suitable tool for predicting chemical properties of powder blends and for simultaneous determination of active pharmaceutical ingredients.

scholarly journals Estimation of soil phosphorus availability via visible and near-infrared spectroscopy

2020 ◽  
Vol 77 (5) ◽  
Author(s):  
Micael Felipe de Souza ◽  
Henrique Coutinho Junqueira Franco ◽  
Lucas Rios do Amaral
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Soil Phosphorus ◽  
Phosphorus Availability

Gas Chromatography as a Reference Method for Moisture Determination by Near-Infrared Spectroscopy

1998 ◽  
Vol 70 (2) ◽  
pp. 390-394 ◽  
Author(s):  
Xiangji Zhou ◽  
Patricia A. Hines ◽  
Kevin C. White ◽  
Matthew W. Borer
Keyword(s):  
Gas Chromatography ◽  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Reference Method ◽  
Moisture Determination

Analysis of Polymer Pellets Obtained from Two Extruders Using near Infrared Spectroscopy

1993 ◽  
Vol 1 (1) ◽  
pp. 55-62 ◽  
Author(s):  
Jeffrey W. Hall ◽  
Denise E. Grzybowski ◽  
Stephen L. Monfre
Keyword(s):  
Infrared Spectroscopy ◽  
Least Squares ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Reference Method ◽  
Analyte Concentration ◽  
Linear Least Squares ◽  
Analytical Error ◽  
The Matrix

The near infrared spectroscopic determination of additive levels in polypropylene pellets obtained from two process extruders/pelletisers is described. A quotient-term multiple linear least-squares spectroscopic model was derived that characterises analyte concentration and corrects for spectroscopic differences within the matrix due to the extruder/pelletisers. The analytical error of the spectroscopic model is comparable to the reference method used to derive the spectroscopic model.

scholarly journals Analysis of Cruciferin Content in Whole Seeds of Brassica napus L. by Near-Infrared Spectroscopy

2021 ◽  
Author(s):  
Ashley Ammeter ◽  
Kenny So ◽  
Rob Duncan
Keyword(s):  
Infrared Spectroscopy ◽  
Brassica Napus ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Seed Storage Protein ◽  
Reference Method ◽  
Enzyme Linked Immunosorbent Assay ◽  
Human Consumption ◽  
Oilseed Crop ◽  
Brassica Napus L

Globally, there is an increasing demand for sources of plant-based protein. While Brassica napus L. is an important oilseed crop worldwide, there is also interest in improving its ability to serve as a valuable source of plant-based protein. Cruciferin, a seed storage protein that makes up 60% of the protein found in mature seeds of B. napus, is of interest for human consumption as a source of protein and as an ingredient in food products due to its functional properties. Existing methods for quantification of cruciferin protein are often time consuming and destroy the seed. This study explored the potential for the measurement of cruciferin protein content in whole seeds of B. napus by near-infrared spectroscopy (NIRS), to allow for efficient and non-destructive screening of breeding material. An enzyme-linked immunosorbent assay (ELISA)-based reference method was utilized to assess cruciferin content in a diverse population of B. napus. Scanning of whole seed samples produced spectra that were used to develop NIRS calibration equations. Statistical analysis of the calibration results indicated that the NIRS equations developed are poorly suited for prediction of cruciferin content.

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