Evaluation of Pozzolanic Activity of Metakaolin Chemometric Method According to the UV-VIS-NIR Spectroscopy

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.887.586 ◽

2021 ◽

Vol 887 ◽

pp. 586-590

Author(s):

R.A. Platova ◽

V.A. Rassulov ◽

Y.T. Platov

Keyword(s):

Quality Control ◽

Mass Loss ◽

Nir Spectroscopy ◽

Pozzolanic Activity ◽

Calibration Model ◽

Total Acid ◽

Chemometric Method ◽

Acid Solubility

It is introduced to use a portable spectrometer along with a calibration model for rapid quality control of metakaolin in situ. Verification of the calibration model for predicting the values of two indicators: total acid solubility and mass loss during calcination, indirectly characterizing the pozzolanic activity of metakaolin.

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Wavelet based calibration model building of NIR spectroscopy for in-situ measurement of granule moisture content during fluidized bed drying

Chemical Engineering Science ◽

10.1016/j.ces.2020.115867 ◽

2020 ◽

Vol 226 ◽

pp. 115867

Author(s):

Jingxiang Liu ◽

Tao Liu ◽

Guoqing Mu ◽

Junghui Chen

Keyword(s):

Moisture Content ◽

Fluidized Bed ◽

Model Building ◽

Nir Spectroscopy ◽

In Situ Measurement ◽

Calibration Model ◽

Fluidized Bed Drying

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Semi-Supervised Learning based Calibration Model Building of NIR spectroscopy for In-Situ Measurement of Biochemical Processes under Insufficiently and Inaccurately Labeled Samples

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2020.3029456 ◽

2020 ◽

pp. 1-1

Author(s):

Guoqing Mu ◽

Tao Liu ◽

Chuang Xue ◽

Junghui Chen

Keyword(s):

Supervised Learning ◽

Model Building ◽

Nir Spectroscopy ◽

In Situ Measurement ◽

Calibration Model ◽

Biochemical Processes

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Geographical origin discrimination and polysaccharides quantitative analysis of Radix codonopsis with micro near-infrared spectrometer engine

Journal of Innovative Optical Health Sciences ◽

10.1142/s1793545818500049 ◽

2017 ◽

Vol 11 (01) ◽

pp. 1850004 ◽

Cited By ~ 4

Author(s):

Jiayue Wang ◽

Tongtong Li ◽

Hailong Yang ◽

Tian Hu ◽

Lei Nie ◽

...

Keyword(s):

Quality Control ◽

Quantitative Analysis ◽

Correlation Coefficient ◽

Near Infrared ◽

Mean Squared Error ◽

Raw Materials ◽

Nir Spectroscopy ◽

Predictive Ability ◽

Calibration Model ◽

Infrared Spectrometer

At present, Tradition Chinese Medicine (TCM) industry in China is in the stage from the empirical development to industrial production. Near infrared (NIR) spectroscopy has been widely used in the quality control of TCM’s modernization with its characteristics including rapidness, nondestruction, simplicity, economy, and so on. In this study, as one type of a portable micro NIR spectrometer, Micro NIR 1700 was used to establish the qualitative models for identification of geographical region and authenticity of Radix codonopsis based on discriminant analysis (DA) method. Both of the DA models had better predictive ability with 100% accuracy. In addition, a method for rapid quantitative analysis of polysaccharide in Radix codonopsis was also developed based on Micro NIR 1700 spectrometer with partial least-squares (PLS) algorithm. In the PLS calibration model, the NIR spectra of samples were pretreated with different preprocessing methods and the spectral region was selected with different variable selection methods as well. The performance of the final PLS model was evaluated according to correlation coefficient of calibration ([Formula: see text]), correlation coefficient of prediction ([Formula: see text]), root mean squared error of cross validation (RMSECV), and root mean squared of prediction (RMSEP). The values of [Formula: see text], [Formula: see text], RMSECV, and RMSEP were 0.9775, 0.9602, 2.496, and 2.734[Formula: see text]g/mL, respectively. This work demonstrated that micro infrared spectrometer could be more convenient and rapid for quality control of Radix codonopsis, and the presented models would be a useful reference for quality control of other similar raw materials of TCM.

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Near infrared spectroscopy of Eucalyptus pellita for foliar nutrients and the potential for real-time monitoring of trees in fertiliser trial plots

Journal of Near Infrared Spectroscopy ◽

10.1177/09670335211007971 ◽

2021 ◽

pp. 096703352110079

Author(s):

Agustan Alwi ◽

Roger Meder ◽

Yani Japarudin ◽

Hazandy A Hamid ◽

Ruzana Sanusi ◽

...

Keyword(s):

Near Infrared ◽

Acacia Mangium ◽

Nir Spectroscopy ◽

Nutrient Status ◽

Significant Loss ◽

Eucalyptus Pellita ◽

Operational Decision Making ◽

Fertiliser Application ◽

Planting Distance

Eucalyptus pellita F. Muell. has become an important tree species in the forest plantations of SE Asia, and in Malaysian Borneo in particular, to replace thousands of hectares of Acacia mangium Willd. which has suffered significant loss caused by Ceratocystis manginecans infection in Sabah, Malaysia. Since its first introduction at a commercial scale in 2012, E. pellita has been planted in many areas in the region. The species replacement requires new silvicultural practices to induce the adaptability of E. pellita to grow in the region and this includes relevant research to optimise such regimes as planting distance, pruning, weeding practices and nutrition regimes. In this present study, the nutritional status of the foliage was investigated with the aim to develop near infrared spectroscopic calibrations that can be used to monitor and quantify nutrient status, particularly total foliar nitrogen (N) and phosphorus (P) in the field. Spectra acquired on fresh foliage in situ on the tree could be used to predict N and P with accuracy suitable for operational decision-making regards fertiliser application. If greater accuracy is required, spectra acquired on dry, milled foliage could be used to predict N and P within a relative error of 10% (R2c, r2CV, RMSEP, RPD = 0.77, 0.71, 0.02 g 100/g, 1.9 for foliar P and = 0.90, 0.88, 0.21 g 100/g, 3.0 for foliar N on dry, milled foliage). The ultimate application of this is in situ nutrient monitoring, particularly to aid longitudinal studies in fertiliser trial plots and forest operations, as the non-destructive nature of NIR spectroscopy would enable regular monitoring of individual leaves over time without the need to destructively sample them. This would aid the temporal and spatial analysis of field data.

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A Hyphenated Approach Combining Pressure-Decay and In Situ FT-NIR Spectroscopy to Monitor Penetrant Sorption and Concurrent Swelling in Polymers

Industrial & Engineering Chemistry Research ◽

10.1021/acs.iecr.1c00264 ◽

2021 ◽

Vol 60 (15) ◽

pp. 5494-5503

Author(s):

Valerio Loianno ◽

Antonio Baldanza ◽

Giuseppe Scherillo ◽

Rezvan Jamaledin ◽

Pellegrino Musto ◽

...

Keyword(s):

Nir Spectroscopy ◽

Pressure Decay

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Performance of the SoLid reactor neutrino detector

EPJ Web of Conferences ◽

10.1051/epjconf/201921908003 ◽

2019 ◽

Vol 219 ◽

pp. 08003

Author(s):

Maja Verstraeten

Keyword(s):

Quality Control ◽

Energy Resolution ◽

Neutrino Detector ◽

Channel Response ◽

In Situ Calibration ◽

Reactor Neutrino ◽

Li Isotope ◽

Better Than

The SoLid Collaboration is currently operating a 1.6 ton neutrino detector near the Belgian BR2 reactor. Its main goal is the observation of the oscillation of electron antineutrinos to previously undetected flavour states. The highly segmented SoLid detector employs a compound scintillation technology based on PVT scintillator in combination with LiF-ZnS(Ag) screens containing the 6Li isotope. The experiment has demonstrated a channel-to-channel response that can be controlled to the level of a few percent, an energy resolution of better than 14% at 1 MeV, and a determination of the interaction vertex with a precision of 5 cm. This contribution highlights the major outcomes of the R&D program, the quality control during component manufacture and integration, the current performance and stability of the full-scale system, as well as the in-situ calibration of the detector with various radioactive sources.

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Glacier Surface Mass Balance in the Suntar-Khayata Mountains, Northeastern Siberia

Water ◽

10.3390/w11091949 ◽

2019 ◽

Vol 11 (9) ◽

pp. 1949 ◽

Cited By ~ 1

Author(s):

Yong Zhang ◽

Xin Wang ◽

Zongli Jiang ◽

Junfeng Wei ◽

Hiroyuki Enomoto ◽

...

Keyword(s):

Mass Loss ◽

Mass Balance ◽

Surface Mass Balance ◽

Negative Mass ◽

Glacier Surface ◽

Surface Mass ◽

Northeastern Siberia ◽

Response To Temperature ◽

Rapid Mass

Arctic glaciers comprise a small fraction of the world’s land ice area, but their ongoing mass loss currently represents a large cryospheric contribution to the sea level rise. In the Suntar-Khayata Mountains (SKMs) of northeastern Siberia, in situ measurements of glacier surface mass balance (SMB) are relatively sparse, limiting our understanding of the spatiotemporal patterns of regional mass loss. Here, we present SMB time series for all glaciers in the SKMs, estimated through a glacier SMB model. Our results yielded an average SMB of −0.22 m water equivalents (w.e.) year−1 for the whole region during 1951–2011. We found that 77.4% of these glaciers had a negative mass balance and detected slightly negative mass balance prior to 1991 and significantly rapid mass loss since 1991. The analysis suggests that the rapidly accelerating mass loss was dominated by increased surface melting, while the importance of refreezing in the SMB progressively decreased over time. Projections under two future climate scenarios confirmed the sustained rapid shrinkage of these glaciers. In response to temperature rise, the total present glacier area is likely to decrease by around 50% during the period 2071–2100 under representative concentration pathway 8.5 (RCP8.5).

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An in situ Raman spectroscopic method for quantification of polyethylene glycol (PEG) in waterlogged archaeological wood

Holzforschung ◽

10.1515/hf-2019-0238 ◽

2020 ◽

Vol 74 (11) ◽

pp. 1043-1051

Author(s):

Åke Henrik-Klemens ◽

Katarina Abrahamsson ◽

Charlotte Björdal ◽

Alexandra Walsh

Keyword(s):

Polyethylene Glycol ◽

Spectroscopic Method ◽

Calibration Model ◽

Efficient Treatment ◽

Raman Spectroscopic ◽

Archaeological Wood ◽

Validation Set ◽

Impregnation Period ◽

Polymer Impregnation

AbstractThe weakened microstructure of archaeological wood (AW) objects from waterlogged environments necessitates consolidation to avoid anisotropic shrinkage upon drying. Polymer impregnation through submergence or spraying treatments is commonly applied, and for larger and thicker objects, the impregnation period can stretch over decades. Thus, for efficient treatment, continuous monitoring of the impregnation status is required. Today, such monitoring is often destructive and expensive, requiring segments for extraction and chromatographic quantification. This study proposes an in situ Raman spectroscopic method for quantification of polyethylene glycol (PEG) in waterlogged AW. A calibration model was built on standards of PEG, cellulose powder, and milled wood lignin using orthogonal partial least squares (OPLS). The OPLS model had a strong linear relationship, and the PEG content in wood of varying degrees of degradation could be determined. However, the accuracy of the model was low with a root mean square error of prediction of 11 wt%. The low accuracy was traced to the heterogeneity in the calibration and validation set samples with regard to the small probing volume of the confocal instrumental setup.

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A fast and low-cost approach to quality control of alcohol-based hand sanitizer using portable near infrared spectrometer and chemometrics

Journal of Near Infrared Spectroscopy ◽

10.1177/0967033520987315 ◽

2021 ◽

pp. 096703352098731

Author(s):

Adenilton C da Silva ◽

Lívia PD Ribeiro ◽

Ruth MB Vidal ◽

Wladiana O Matos ◽

Gisele S Lopes

Keyword(s):

Quality Control ◽

Discriminant Analysis ◽

Near Infrared ◽

Nir Spectroscopy ◽

Principal Component ◽

Partial Least Square ◽

Least Square ◽

Chemical Components ◽

Linear Discriminant ◽

Hand Sanitizer

The use of alcohol-based hand sanitizers is recommended as one of several strategies to minimize contamination and spread of the COVID-19 disease. Current reports suggest that the virucidal potential of ethanol occurs at concentrations close to 70%. Traditional methods of verifying the ethanol concentration in such products invite potential errors due to the viscosity of chemical components or may be prohibitively expensive to undertake in large demand. Near infrared (NIR) spectroscopy and chemometrics have already been used for the determination of ethanol in other matrices and present an alternative fast and reliable approach to quality control of alcohol-based hand sanitizers. In this study, a portable NIR spectrometer combined with classification chemometric tools, i.e., partial least square discriminant analysis (PLS–DA) and linear discriminant analysis with successive algorithm projection (SPA–LDA) were used to construct models to identify conforming and non-conforming commercial and laboratory synthesized hand sanitizer samples. Principal component analysis (PCA) was applied in an exploratory data study. Three principal components accounted for 99% of data variance and demonstrate clustering of conforming and non-conforming samples. The PLS–DA and SPA–LDA classification models presented 77 and 100% of accuracy in cross/internal validation respectively and 100% of accuracy in the classification of test samples. A total of 43% commercial samples evaluated using the PLS–DA and SPA–LDA presented ethanol content non-conforming for hand sanitizer gel. These results indicate that use of NIR spectroscopy and chemometrics is a promising strategy, yielding a method that is fast, portable, and reliable for discrimination of alcohol-based hand sanitizers with respect to conforming and non-conforming ethanol concentrations.

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