Quantitative analysis of pork dry-cured sausages to quality control by NIR spectroscopy

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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Quantitative analysis of synthetic sizing agents (ASA/AKD) using NIR spectroscopy

Nordic Pulp & Paper Research Journal ◽

10.3183/npprj-2009-24-03-p335-341 ◽

2009 ◽

Vol 24 (3) ◽

pp. 335-341 ◽

Cited By ~ 6

Author(s):

Emanuele Martorana ◽

Steffen Fischer ◽

Stephan Kleemann

Keyword(s):

Quantitative Analysis ◽

Nir Spectroscopy ◽

Sizing Agents

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Establishment and validation of the quantitative analysis of multi‐components by single marker for the quality control of Qishen Yiqi dripping pills by high‐performance liquid chromatography with charged aerosol detection

Phytochemical Analysis ◽

10.1002/pca.3037 ◽

2021 ◽

Author(s):

Linlin Wu ◽

Shunnan Zhang ◽

Lihong Zhou ◽

Haoshu Xiong ◽

Xingchu Gong ◽

...

Keyword(s):

Quality Control ◽

High Performance Liquid Chromatography ◽

Liquid Chromatography ◽

Quantitative Analysis ◽

High Performance ◽

Charged Aerosol Detection ◽

Charged Aerosol ◽

Single Marker

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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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New Determination Method of Two Bioactive Saponins in Lysimachia capillipes Hemsl. by Quantitative Analysis of Multi-Components by Single-Marker

Journal of Chromatographic Science ◽

10.1093/chromsci/bmab028 ◽

2021 ◽

Author(s):

Xiaoyong Zhang ◽

Xuezhao Chen ◽

Juan Jin ◽

Minghua Gong ◽

Qiang He ◽

...

Keyword(s):

Quality Control ◽

Quantitative Analysis ◽

High Performance ◽

Reference Standards ◽

Bioactive Components ◽

Evaporative Light Scattering Detector ◽

Evaporative Light Scattering ◽

External Standard ◽

Single Marker

Abstract Capilliposide B (CPS-B) and Capilliposide C (CPS-C), as the key components in Lysimachia capillipes Hemsl., increasingly aroused the interest and research concern of many researchers due to the good bioactivities. Nowadays, the reference standards of CPS-B and CPS-C yield were very limited. Due to the deficit of reference standards, the determination could be difficult to carry out, and the quality control and evaluation would be restrained afterwards. To solve this urgent problem, a quantitative analysis of multi-components by single-marker (QAMS) method was proposed and established based on high-performance liquid-chromatography tandem evaporative light-scattering detector. In this QAMS method, the content of the two bioactive components could be calculated by buddlejasaponin IV, which is applied as an external standard and readily obtained. And the methodological experiments were evaluated and indicated accuracy, stability and feasibility of this QAMS method. Therefore, in this study, this built method would properly meet the requirement of determination of CPS-B, CPS-C and quality control of the L. capillipes Hemsl. plant.

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Rapid evaluation and quantitative analysis of thyme, origano and chamomile essential oils by ATR-IR and NIR spectroscopy

Journal of Molecular Structure ◽

10.1016/s0022-2860(03)00517-9 ◽

2003 ◽

Vol 661-662 ◽

pp. 299-306 ◽

Cited By ~ 75

Author(s):

Hartwig Schulz ◽

Rolf Quilitzsch ◽

Hans Krüger

Keyword(s):

Quantitative Analysis ◽

Essential Oils ◽

Nir Spectroscopy ◽

Rapid Evaluation

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Prototype of the Near-Infrared Spectroscopy Expert System for Particleboard Identification

Journal of Spectroscopy ◽

10.1155/2018/6025163 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11

Author(s):

Anna Sandak ◽

Jakub Sandak ◽

Dominika Janiszewska ◽

Salim Hiziroglu ◽

Marta Petrillo ◽

...

Keyword(s):

Quality Control ◽

Expert System ◽

Near Infrared ◽

System Development ◽

Nir Spectroscopy ◽

Original System ◽

Adhesive System ◽

Type Composition ◽

Wide Range ◽

Panel Type

The overall goal of this work was to develop a prototype expert system assisting quality control and traceability of particleboard panels on the production floor. Four different types of particleboards manufactured at the laboratory scale and in industrial plants were evaluated. The material differed in terms of panel type, composition, and adhesive system. NIR spectroscopy was employed as a pioneer tool for the development of a two-level expert system suitable for classification and traceability of investigated samples. A portable, commercially available NIR spectrometer was used for nondestructive measurements of particleboard panels. Twenty-five batches of particleboards, each containing at least three independent replicas, was used for the original system development and assessment of its performance. Four alternative chemometric methods (PLS-DA, kNN, SIMCA, and SVM) were used for spectroscopic data classification. The models were developed for panel recognition at two levels differing in terms of their generality. In the first stage, four among twenty-four tested combinations resulted in 100% correct classification. Discrimination precision with PLS-DA and SVMC was high (>99%), even without any spectra preprocessing. SNV preprocessed spectra and SVMC algorithm were used at the second stage for panel batch classification. Panels manufactured by two producers were 100% correctly classified, industrial panels produced by different manufacturing plants were classified with 98.9% success, and the experimental panels manufactured in the laboratory were classified with 63.7% success. Implementation of NIR spectroscopy for wood-based product traceability and quality control may have a great impact due to the high versatility of the production and wide range of particleboards utilization.

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DNA-Based Herbal Teas’ Authentication: An ITS2 and psbA-trnH Multi-Marker DNA Metabarcoding Approach

Plants ◽

10.3390/plants10102120 ◽

2021 ◽

Vol 10 (10) ◽

pp. 2120

Author(s):

Jessica Frigerio ◽

Giulia Agostinetto ◽

Valerio Mezzasalma ◽

Fabrizio De De Mattia ◽

Massimo Labra ◽

...

Keyword(s):

Quality Control ◽

Quantitative Analysis ◽

Medicinal Plants ◽

High Throughput ◽

High Throughput Sequencing ◽

The Other ◽

Plant Component ◽

Identification Rate ◽

Dna Metabarcoding ◽

Therapeutic Properties

Medicinal plants have been widely used in traditional medicine due to their therapeutic properties. Although they are mostly used as herbal infusion and tincture, employment as ingredients of food supplements is increasing. However, fraud and adulteration are widespread issues. In our study, we aimed at evaluating DNA metabarcoding as a tool to identify product composition. In order to accomplish this, we analyzed fifteen commercial products with DNA metabarcoding, using two barcode regions: psbA-trnH and ITS2. Results showed that on average, 70% (44–100) of the declared ingredients have been identified. The ITS2 marker appears to identify more species (n = 60) than psbA-trnH (n = 35), with an ingredients’ identification rate of 52% versus 45%, respectively. Some species are identified only by one marker rather than the other. Additionally, in order to evaluate the quantitative ability of high-throughput sequencing (HTS) to compare the plant component to the corresponding assigned sequences, in the laboratory, we created six mock mixtures of plants starting both from biomass and gDNA. Our analysis also supports the application of DNA metabarcoding for a relative quantitative analysis. These results move towards the application of HTS analysis for studying the composition of herbal teas for medicinal plants’ traceability and quality control.

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