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Journal ArticleDOI

Evaluation of chemical components and properties of the jujube fruit using near infrared spectroscopy and chemometrics.

TLDR
NIR spectroscopy in conjunction with chemometrics, is a very useful and rapid technique for the discrimination of jujube fruit.
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This article is published in Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy.The article was published on 2016-01-15. It has received 92 citations till now. The article focuses on the topics: Chemometrics & Partial least squares regression.

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Citations
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Alternative data mining/machine learning methods for the analytical evaluation of food quality and authenticity – A review

TL;DR: There are alternative data treatment methods, such as support vector machine (SVM), classification and regression tree (CART) and random forest (RF), that show a great potential and more advantages compared to conventional ones.
Journal ArticleDOI

An Overview on the Applications of Typical Non-linear Algorithms Coupled With NIR Spectroscopy in Food Analysis

TL;DR: An overview of the application of non- linear algorithms in food quality and safety specific to NIR spectroscopy along with different non-linear models such as artificial neural network (ANN), AdaBoost, local algorithm (LA), support vector machine (SVM), and extreme learning machine (ELM).
Journal ArticleDOI

Developing deep learning based regression approaches for determination of chemical compositions in dry black goji berries (Lycium ruthenicum Murr.) using near-infrared hyperspectral imaging.

TL;DR: Near-infrared hyperspectral imaging was used to determine total phenolics, total flavonoids and total anthocyanins in dry black goji berries and deep learning approaches as modelling methods and feature extraction methods obtained good and equivalent performances to the conventional methods.
Journal ArticleDOI

Critical review and advices on spectral-based normalization methods for LIBS quantitative analysis

TL;DR: In this paper, a review of the normalization methods commonly applied to LIBS is presented and discussed, in particular those based on background, total area, internal standard, and Standard Normal Variate.
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Au@Ag nanostructure based SERS substrate for simultaneous determination of pesticides residue in tea via solid phase extraction coupled multivariate calibration

TL;DR: In this paper, an ultra-sensitive and selective surface-enhanced Raman scattering (SERS) based detection platform for the simultaneous determination of pesticides namely acetamiprid (AC) and 2,4-dichlorophenoxyacetic acid (2, 4-D) in matcha tea has been developed.
References
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Journal ArticleDOI

Colorimetric Method for Determination of Sugars and Related Substances

TL;DR: In this article, a method was developed to determine submicro amounts of sugars and related substances using a phenol-sulfuric acid reaction, which is useful for the determination of the composition of polysaccharides and their methyl derivatives.
Journal Article

Colorimetry of Total Phenolics with Phosphomolybdic-Phosphotungstic Acid Reagents

TL;DR: In this paper, the use of Folin-Ciocalteu reagent rather than the FolinDenis reagent, gallic acid as a reference standard, and a more reproducible time-temperature color development period was investigated.
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Antioxidant activity applying an improved ABTS radical cation decolorization assay.

TL;DR: A method for the screening of antioxidant activity is reported as a decolorization assay applicable to both lipophilic and hydrophilic antioxidants, including flavonoids, hydroxycinnamates, carotenoids, and plasma antioxidants.
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PLS-regression: a basic tool of chemometrics

TL;DR: PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.
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