Rapid moisture determination for cup lump natural rubber by near infrared spectroscopy

2015 ◽  
Vol 76 ◽  
pp. 772-780 ◽  
Author(s):  
Sunisa Suchat ◽  
Parichat Theanjumpol ◽  
Seppo Karrila
Keyword(s):  
Infrared Spectroscopy ◽  
Natural Rubber ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Moisture Determination ◽  
Rapid Moisture

scholarly journals Fast Determination of the Rubber Content in Taraxacum Kok-Saghyz Fresh Biomass Using Portable Near Infrared Spectroscopy and Pyrolysis-Gas Chromatography

2021 ◽  
Author(s):  
Ying Chen ◽  
Dong Yiyang ◽  
Xiang Ma ◽  
Jiaru Li ◽  
Minmin Guo ◽  
...  
Keyword(s):  
Gas Chromatography ◽  
Infrared Spectroscopy ◽  
Natural Rubber ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Low Cost ◽  
Rubber Content ◽  
Pyrolysis Gas ◽  
Pyrolysis Gas Chromatography

Abstract Background: Taraxacum kok-saghyz (TKS), a plant native to the Tianshan valley on the border between China and Kazakhstan and inherently rich in natural rubber, inulin and other bioactive ingredients, is an important industrial crop. TKS rubber is a good substitute for natural rubber. TKS's breeding work necessitates the need to screen high-yielding varieties, hence rapid determination of rubber content is essential for the screening. Conventional analytical methods cannot meet actual needs in terms of real-time testing and economic cost. Near-infrared spectroscopy analysis technology, which has developed rapidly in the field of industrial process analysis in recent years, is a green detection technology with obvious merits of fast measurement speed, low cost and no sample loss. This research aims to develop a portable non-destructive near-infrared spectroscopic detection scheme to evaluate the content of natural rubber in TKS fresh roots. Pyrolysis gas chromatography (PyGC), was chosen as the reference method for the development of NIR prediction model. Results: 208 TKS fresh root samples were collected from the Inner Mongolia Autonomous Region of China. Near-infrared spectra were acquired for all samples. Randomly two-thirds of them were selected as the calibration set, the remaining one-third as the verification set, and the partial least squares method was successfully used to establish a good NIR prediction model at 1080-1800nm with a performance to deviation ratio (RPD) of 5.54 and coefficient of determination (R2) of 0.95. Conclusions: This study showed that portable near-infrared spectroscopy could be used with ease for large-scale screening of TKS plants in farmland, and could greatly facilitate TKS germplasm preservation, high-yield cultivation, environment-friendly, high-efficiency and low-cost rubber extraction, and comprehensive advancement of the dandelion rubber industry thereof.

Moisture Determination of Static and In-Motion Powdered Infant Formula Utilising Multiprobe near Infrared Spectroscopy

2015 ◽  
Vol 23 (4) ◽  
pp. 245-253 ◽  
Author(s):  
Raquel Cama-Moncunill ◽  
Maria Pietat Casado ◽  
Yash Dixit ◽  
Denisio Togashi ◽  
Laura Alvarez-Jubete ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Infant Formula ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Moisture Determination ◽  
Powdered Infant Formula

scholarly journals Determination of natural rubber and resin content of guayule fresh biomass by near infrared spectroscopy

2019 ◽  
Vol 134 ◽  
pp. 177-184 ◽  
Author(s):  
Manon Taurines ◽  
Loic Brancheriau ◽  
Serge Palu ◽  
Daniel Pioch ◽  
Eric Tardan ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Natural Rubber ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Resin Content ◽  
Fresh Biomass

A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy

2018 ◽  
Vol 26 (6) ◽  
pp. 379-388 ◽  
Author(s):  
Suelen Ávila ◽  
Polyanna Silveira Hornung ◽  
Gerson Lopes Teixeira ◽  
Márcia Regina Beux ◽  
Marcelo Lazzarotto ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Moisture Content ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Stingless Bee ◽  
Average Error ◽  
Calibration Model ◽  
Moisture Determination ◽  
Absorption Bands ◽  
Melipona Marginata

Honey is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species ( Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C–H, O–H and C–O vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey’s moisture showed good correlation (r2 = 0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration ( R2 = 0.947, SEP = 1.005 and RPD = 4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate results.

scholarly journals Evaluation of the Mooney Viscosity of Natural Rubber by Near‐Infrared Spectroscopy

2005 ◽  
Vol 38 (6) ◽  
pp. 741-748 ◽  
Author(s):  
Celio Pasquini ◽  
Fernanda Crivelari Figueiredo ◽  
Benildes Prince
Keyword(s):  
Infrared Spectroscopy ◽  
Natural Rubber ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Mooney Viscosity

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

Evaluation of prevulcanisate relaxed modulus of prevulcanised natural rubber latex using Fourier transform near infrared spectroscopy

2017 ◽  
Vol 25 (6) ◽  
pp. 407-415 ◽  
Author(s):  
Chin Hock Lim ◽  
Panmanas Sirisomboon
Keyword(s):  
Fourier Transform ◽  
Infrared Spectroscopy ◽  
Root Mean Square Error ◽  
Natural Rubber ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Natural Rubber Latex ◽  
Mean Square ◽  
Cross Link ◽  
Rubber Latex

The analysis of the cross-link density of prevulcanised natural rubber latex using near infrared spectroscopy was conducted using a Fourier transform near infrared spectrometer in diffuse reflection mode over the wavenumber range of 12500–3600 cm−1. As the density of cross-link is an indication of the degree of cure, hence the properties of the latex products, the proposed method is useful for industrial purposes. For samples of prevulcanised latex of 50% total solids content (i.e. PV 50%) at 100% extension (prevulcanisate relaxed modulus 100%), the best model was developed using the partial least squares regression from the spectra, which were pre-treated using the first derivative method, where the coefficient of determination (r2), root mean square error of prediction and bias were 0.66, 6.06 × 104 Nm−2 and 1.63 × 104 Nm−2, respectively. The ratio of standard error of prediction to the standard deviation of the reference data in the prediction sample set was 1.8. This model could be used for screening. For samples at 300% extension (prevulcanisate relaxed modulus 300%) for PV 50%, the best model was developed using spectra pre-treated for scattering correction: r2, root mean square error of prediction and bias were 0.88, 6.74 × 104 Nm−2 and 1.35 × 104 Nm−2, respectively and the ratio of prediction to deviation was 3.0. Hence, the near infrared spectroscopy technique can be utilised as a rapid screening method for estimating the cross-link densities of prevulcanised natural rubber latex.

Sign in / Sign up

Export Citation Format

Share Document