A low cost short wave near infrared spectrophotometer: Application for determination of quality parameters of diesel fuel

The production of cellulose fibres by wet fibres spinning requires a careful monitoring of the spinning bath and especially the spinning solution in terms of product control and for quality assurance purposes. The chemical composition as well as the ripening of the spinning solution are of major importance for maintaining a constant product quality. The conventional determination of the quality parameters of the viscose spinning solution are rather time- and labour-intensive due to the fact that several independent analytical procedures are involved which score low in time efficiency themselves. Briefly, the complete characterisation of the spinning solution requires an iodometric titration of the cellulose xanthogenate (γ-number), an acidimetric titration of the sodium hydroxide (NaOH) content, a UV-VIS spectroscopic determination of the trithiocarbonate (TTC) content and a time-consuming gravimetric cellulose content determination. Sometimes, also, a colloid chemical determination of the degree of ripening (Hottenroth number) is performed in the plant control laboratory. With this work, an approach will be demonstrated, which enables the substitution of these numerous analytical procedures by a single and time-efficient method—a VIS-NIR spectroscopic technique. Therefore, it is possible to determine the parameters: NaOH, TTC, cellulose xanthogenate content and the cellulose content of the viscose spinning solution simultaneously with a reasonable precision within a few minutes.

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

10.21203/rs.3.rs-298105/v1 ◽

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.

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Determination of soybean routine quality parameters using near-infrared spectroscopy

Food Science & Nutrition ◽

10.1002/fsn3.652 ◽

2018 ◽

Vol 6 (4) ◽

pp. 1109-1118 ◽

Cited By ~ 11

Author(s):

Zhenying Zhu ◽

Shangbing Chen ◽

Xueyou Wu ◽

Changrui Xing ◽

Jian Yuan

Keyword(s):

Infrared Spectroscopy ◽

Near Infrared Spectroscopy ◽

Near Infrared ◽

Quality Parameters

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In-situ determination of external quality parameters in intact summer squash using near-infrared reflectance spectroscopy

Acta Horticulturae ◽

10.17660/actahortic.2018.1194.178 ◽

2018 ◽

pp. 1259-1264 ◽

Cited By ~ 1

Author(s):

M.T. Sánchez ◽

I. Torres ◽

B. Gil ◽

D. Pérez-Marín ◽

A. Garrido-Varo ◽

...

Keyword(s):

Near Infrared ◽

Reflectance Spectroscopy ◽

Quality Parameters ◽

Infrared Reflectance ◽

Near Infrared Reflectance Spectroscopy ◽

Near Infrared Reflectance ◽

External Quality ◽

Summer Squash

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Lithological mapping of East Tianshan area using integrated data fused by Chinese GF-1 PAN and ASTER multi-spectral data

Open Geosciences ◽

10.1515/geo-2018-0042 ◽

2018 ◽

Vol 10 (1) ◽

pp. 532-543 ◽

Cited By ~ 3

Author(s):

Min Yang ◽

Lei Kang ◽

Huaqing Chen ◽

Min Zhou ◽

Jianghua Zhang

Keyword(s):

Spectral Resolution ◽

Near Infrared ◽

Thermal Emission ◽

Low Cost ◽

Short Wave ◽

Support Vector ◽

Tianshan Mountain ◽

Multispectral Data ◽

Fusion Data ◽

East Tianshan

Abstract The East Tianshan Mountain is one of the most important gold ore forming zones in northwestern China and central Asia. The Chinese GaoFen-1 (GF-1), the first Chinese high resolution satellite, is characterized by its 2-m resolution PAN data. The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER), the well-known earth observation satellite, is advanced by its finer spectral resolution owing 9 bands in the visible and near infrared (VNIR) to the short-wave infrared (SWIR) region. In this study, we fused the GF-1 PAN and the ASTER multispectral data using the well-known Gram-Schmidt Pan Sharpening (G-S) method to produce a new data with both high spatial and spectral resolution. Then different lithological units were mapped respectively using the fusion data, the ASTER data and the WorldView-3 data by support vector machine (SVM) method. In order to assess this fusion data, a comparison work was executed among the three mapping results. The comparison work indicated that lithological classification using the new fusion data is an efficient, robust and low cost method, and it could replace the WV-3 data in some large sale geological work.

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