Diffuse reflectance infrared Fourier transform spectroscopy for a qualitative evaluation of plant leaf pigment extraction

Barreto, Matheus Sampaio C.; Reis, Josimar Viera Dos; Muraoka, Takashi; Jemo, Martin; Vergütz, Leonardus; Alleoni, Luís Reynaldo Ferracciú

doi:10.1039/d1an00059d

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…Barreto and Shi use Fourier transform and wavelet transforms to process fabric images, analyze spectrum characteristics, process interference information, and then transform them into spatial domain through inverse transformation. Finally, fabric warp and weft density can be calculated by spatial domain detection or correlation between frequency spectrum features and warp and weft yarn density [23,24]. Le obtains the power spectrum of woven fabric image by Fourier transform, then processes the threshold value and calculates the fabric warp and weft density by using the relationship between the spatial domain and frequency domain.…”

Section: Introductionmentioning

confidence: 99%

Fabric yarn detection based on improved fast R-CNN model

Xu¹

2023

3C TIC

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With the rapid development of modern computer technology, and gradually combined with the textile industry, the application of modern computer technology in the field of textile is increasingly extensive, which makes textile production gradually move towards the road of automation development. This paper proposes an automatic detection method of simple weave fabric density based on computer image vision. Computer vision and digital image processing technology are used to analyze and identify the simple weave fabric's warp and weft yarn information and calculate the fabric density. To avoid the phenomenon of warp and weft yarn skew, a method of fabric skew correction based on the Radon transform is proposed. The optimal decomposition order of these four fabrics is k = 2, k = 5, and k = 3. The decomposition series is k. It is found that the relative error of both warp and weft density is about 1.00%. Most of the data obtained by the method of correlation coefficient curve to determine the optimal decomposition series are consistent with the results of the energy curve method. The relative error of the density test results of No. 3 fabric, No. 6 fabric, and No. 7 fabric is higher than 10%, and the relative error of No. 3 fabric is the highest, reaching 66%. This shows serious errors in these three fabrics' warp and weft density. To solve the problems of simple weave fabric density detection, the corresponding algorithm is used to solve the problems. Finally, good results are obtained, which verifies the feasibility of this method. It is significant to realize the automatic measurement of fabric density in textile factories.

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Section: Introductionmentioning

confidence: 99%

Fabric yarn detection based on improved fast R-CNN model

Xu¹

2023

3C TIC

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“…There have been several analyses of betulin and betulinic acid, potential anticancer drugs and HIV inhibitor candidates, in birch bark based on ATR and transmission IR spectra [28][29][30][31]. Diffuse reflectance (DRIFTS) IR spectroscopy was used to quantify rosmarinic acid in Lamiaceae herbs and leaf pigment analyses [32][33][34]; it was also used to detect saffron adulteration and for genotyping barley samples [35,36].…”

Section: Introductionmentioning

confidence: 99%

Quantification of Salicylates and Flavonoids in Poplar Bark and Leaves Based on IR, NIR, and Raman Spectra

et al. 2022

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Poplar bark and leaves can be an attractive source of salicylates and other biologically active compounds used in medicine. However, the biochemical variability of poplar material requires a standardization prior to processing. The official analytical protocols used in the pharmaceutical industry rely on the extraction of active compounds, which makes their determination long and costly. An analysis of plant materials in their native state can be performed using vibrational spectroscopy. This paper presents for the first time a comparison of diffuse reflectance in the near- and mid-infrared regions, attenuated total reflection, and Raman spectroscopy used for the simultaneous determination of salicylates and flavonoids in poplar bark and leaves. Based on 185 spectra of various poplar species and hybrid powdered samples, partial least squares regression models, characterized by the relative standard errors of prediction in the 4.5–9.9% range for both calibration and validation sets, were developed. These models allow for fast and precise quantification of the studied active compounds in poplar bark and leaves without any chemical sample treatment.

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Conversion of Brazilian savannah to agricultural land affects quantity and quality of labile soil organic matter

et al. 2022

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Diffuse reflectance infrared Fourier transform spectroscopy for a qualitative evaluation of plant leaf pigment extraction

Abstract: The extraction and quantification of leaf pigments are easy, fast, and cheap procedures; on the other hand, DRIFT spectroscopy associated with chemometrics tools could offer new insights into leaf biochemical composition.

Cited by 7 publications

References 65 publications

Fabric yarn detection based on improved fast R-CNN model

Fabric yarn detection based on improved fast R-CNN model

Quantification of Salicylates and Flavonoids in Poplar Bark and Leaves Based on IR, NIR, and Raman Spectra

Conversion of Brazilian savannah to agricultural land affects quantity and quality of labile soil organic matter

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