Comparison of Human Panels, Colorimeter and near Infrared Spectroscopy for the Evaluation of Fabric Stain Removal

Near infrared (NIR) spectroscopy was used to analyse fabric stain samples used in a fabric stain prespotter test in which a colorimeter and human panels were used to evaluate the cleaning ability of the prespotters. The purpose of this was to see if the NIR results compared well with the other two techniques and could then be used instead for fabric stain analysis. NIR/visible instruments offer several advantages including determination of coloured and uncoloured components of the stains, ease of comparing the stain before and after cleaning, fast, accurate, reproducible and quantitative analysis, and computer data storage for later comparison. Although the samples were not specifically prepared for this determination, the NIR did give comparable results to the other two techniques for many of the stains analysed.

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Determination of the composition of multilayer plastic packaging with NIR spectroscopy

Detritus ◽

10.31025/2611-4135/2020.14027 ◽

2020 ◽

pp. 62-66

Author(s):

Xiaozheng Chen ◽

Nils Kroell ◽

Alexander Feil ◽

Thomas Pretz

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared ◽

State Of The Art ◽

Nir Spectroscopy ◽

Waste Recycling ◽

Point Of View ◽

Plastic Packaging ◽

Post Industrial ◽

Detection And Separation

In food and medical packaging, multiple layers of different polymers are combined in order to achieve optimal functional properties for various applications. Flexible multilayer plastic packaging achieves a reduction in weight compared to other packaging products with the same function, saving material and in transportation costs. Recycling of post-industrial multilayer packaging was achieved by some companies, but the available technologies are limited to specific polymer types. For post-consumer waste, recycling of multilayer packaging has not been achieved yet. One of the main challenges in plastic sorting is that the detection and separation of multilayer packaging from other materials is not possible yet. In this study, the possibility to detect and sort flexible multilayer plastic packaging was investigated with near-infrared spectroscopy, which is the state-of-the-art technology for plastic sorting. The results show that from a detection and classification point of view, sorting of monolayer, two- and three-layers samples under laboratory conditions is possible. According to the captured data, the sequence of layers has little influence on the spectra. In case of glossy samples, the spectra are influenced by printed surfaces. With an increase in thickness, the spectra get more characteristic, which makes the classification easier. Our results indicate that the sorting of post-consumer multilayer plastic packaging by main composition is theoretically achievable.

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Ability of NIR spectroscopy to predict meat chemical composition and quality – a review

Czech Journal of Animal Science ◽

10.17221/4337-cjas ◽

2011 ◽

Vol 49 (No. 11) ◽

pp. 500-510 ◽

Cited By ~ 69

Author(s):

M. Prevolnik ◽

M. Čandek-Potokar ◽

D. Škorjanc

Keyword(s):

Chemical Composition ◽

Meat Quality ◽

Quality Evaluation ◽

Near Infrared ◽

Nir Spectroscopy ◽

The Other ◽

Meat Composition ◽

Feeding Regimes ◽

Simultaneous Assessment

In contrast to conventional methods for the determination of meat chemical composition and quality, near infrared spectroscopy (NIRS) enables rapid, simple and simultaneous assessment of numerous meat properties. The present article is a review of published studies that examined the ability of NIRS to predict different meat properties. According to the published results, NIRS shows a great potential to replace the expensive and time-consuming chemical analysis of meat composition. On the other hand, NIRS is less accurate for predicting different attributes of meat quality. In view of meat quality evaluation, the use of NIRS appears more promising when categorizing meat into quality classes on the basis of meat quality traits for example discriminating between feeding regimes, discriminating fresh from frozen-thawed meat, discriminating strains, etc. The performance of NIRS to predict meat properties seems limited by the reliability of the method to which it is calibrated. Moreover, the use of NIRS may also be limited by the fact that it needs a laborious calibration for every purpose. In spite of that, NIRS is considered to be a very promising method for rapid meat evaluation.    

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The rapid determination of total polyphenols content and antioxidant activity in Dendrobium officinale using near-infrared spectroscopy

Analytical Methods ◽

10.1039/c6ay00542j ◽

2016 ◽

Vol 8 (23) ◽

pp. 4584-4589 ◽

Cited By ~ 14

Author(s):

Longhui Ma ◽

Zhimin Zhang ◽

Xingbing Zhao ◽

Sufeng Zhang ◽

Hongmei Lu

Keyword(s):

Antioxidant Activity ◽

Infrared Spectroscopy ◽

Near Infrared ◽

Rapid Determination ◽

Nir Spectroscopy ◽

Dendrobium Officinale ◽

Chemometric Methods ◽

Total Polyphenols ◽

Rapid Quantification

NIR spectroscopy coupled with chemometric methods for rapid quantification of total polyphenols content and antioxidant activity inDendrobium officinale.

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Determination of the Polymorphic Forms of Bicifadine Hydrochloride by Differential Scanning Calorimetry—Thermogravimetric Analysis, X-Ray Powder Diffraction, Attenuated Total Reflectance—Infrared Spectroscopy, and Attenuated Total Reflectance—Near-Infrared Spectroscopy

Applied Spectroscopy ◽

10.1366/000370205774783322 ◽

2005 ◽

Vol 59 (11) ◽

pp. 1365-1371 ◽

Cited By ~ 15

Author(s):

Patrick McArdle ◽

Karen Gilligan ◽

Desmond Cunningham ◽

Alan Ryder

Keyword(s):

Infrared Spectroscopy ◽

Powder Diffraction ◽

Density Functional ◽

Near Infrared ◽

Nir Spectroscopy ◽

Attenuated Total Reflectance ◽

Total Reflectance ◽

X Ray ◽

Polymorphic Forms

The pharmaceutical compound bicifadine hydrochloride, which has been found to crystallize in two polymorphic forms, has been characterized by thermal analysis, X-ray powder diffraction (XRPD), infrared (IR) spectroscopy, and near-infrared (NIR) spectroscopy. A series of 22 sample mixtures of polymorph 1 and polymorph 2 were prepared and calibration models for the quantitation of these binary mixtures have been developed for each of the XRPD, attenuated total reflectance (ATR)-IR, and ATR-NIR analytical techniques. The quantitative results were obtained using a partial least squares (PLS) algorithm, which predicted the concentration of polymorph 1 from the XRPD spectra with a root mean standard error of prediction (RMSEP) of 4.4%, from the IR spectra with a RMSEP of 3.8%, and from the NIR spectra with a RMSEP of 1.4%. The studies indicate that when analyses are carried out on equivalent sets of spectra, NIR spectroscopy offers significant advantages in quantitative accuracy as a tool for the determination of polymorphs in the solid state and is also more convenient to use than both the ATR-IR and XRPD methods. Density functional theory (DFT) B3LYP calculations and IR spectral simulation have been used to determine the nature of the vibrational modes that are the most sensitive in the analysis.

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Measuring Potassium in Plant Tissues Using near Infrared Spectroscopy

Journal of Near Infrared Spectroscopy ◽

10.1255/jnirs.167 ◽

1998 ◽

Vol 6 (A) ◽

pp. A63-A66 ◽

Cited By ~ 15

Author(s):

Susan Ciavarella ◽

Graeme D. Batten ◽

Anthony B. Blakeney

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Nitrogen Fertilizer ◽

Near Infrared ◽

Nir Spectroscopy ◽

Essential Elements ◽

Cereal Crops ◽

Standard Errors ◽

Plant Tissues

Near infrared (NIR) spectroscopy is routinely used to determine constituents with organic bonds which absorb electromagnetic radiation in the region 1100 to 2500 nm. The nitrogen fertilizer requirements of cereal crops are determined from the analysis of vegetative samples by NIR spectroscopy. Simultaneous determination of other plant-essential elements would enhance the value of the analysis. Compared to nitrogen, other essential elements are either present at a lower concentration in the tissue or present largely in an inorganic form which is not detectable by NIR spectroscopy. In this paper we report NIR spectroscopic calibrations for potassium in grape petioles, grape leaves, rice shoots and orange leaves. When tested against a set of verification samples the NIR spectroscopic calibrations accounted for 96, 89, 93 and 85% of the concentration of K with standard errors of performance of 0.16, 0.12, 0.18 and 0.17%K respectively.

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Real-time simultaneous detection of microbial contamination and determination of an ultra low-content active pharmaceutical ingredient in tazarotene gel by near-infrared spectroscopy

RSC Advances ◽

10.1039/c8ra03079k ◽

2018 ◽

Vol 8 (48) ◽

pp. 27037-27044 ◽

Cited By ~ 5

Author(s):

Qian Xie ◽

Ruanqi Wu ◽

Xiaoxiao Zhong ◽

Yanhong Dong ◽

Qi Fan

Keyword(s):

Infrared Spectroscopy ◽

Real Time ◽

Near Infrared Spectroscopy ◽

Microbial Contamination ◽

Near Infrared ◽

Simultaneous Detection ◽

Nir Spectroscopy ◽

Active Pharmaceutical Ingredient ◽

Non Destructive

This paper proposes a real-time and non-destructive strategy for sensitive and simultaneous detection of microbial contamination and determination of an ultra low-content active pharmaceutical ingredient in tazarotene gel by NIR spectroscopy.

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