A Possible Connection Between Antidiabetic &amp; Antilipemic Properties of Psoralea corylifolia Seeds and the Trace Elements Present: A LIBS Based Study

Dhar, Preeti; Gembitsky, Igor; Kumar, Prashant; Nilesh, K.; Rai, A.K.; Watal, Geeta

doi:10.1007/s11483-012-9280-1

Cited by 10 publications

(6 citation statements)

References 28 publications

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“…Diaz 等人 [45] 采用高功率CO 2 激光器(10.591 m, 64 ns, 25~ 70 J/cm 2 )研究DNA碱基鸟嘌呤和腺嘌呤的光谱, 得出了DNA碱基鸟嘌呤和腺嘌呤的等离子体光谱的时间分布特性. Dhar等人 [46] 用Nd:YAG激光器研究补骨脂种子提取物中有降糖和降脂作用的微量元素, 得出钙和镁的浓度与提取物的降糖和降脂能力有关系, 证明用LIBS检测中药中的主要和次要元素及浓度可行. Emara等人 [47] 采用Nd:YAG 激光(1064 nm, 8 ns, 10 Hz, 100 mJ)激发人的头发, 发现头发中微量元素 Na, K, Ca, Mg, Fe和Si的含量能够反映人的健康状况.…”

Section: 激光诱导击穿光谱在生物医学领域的应用unclassified

Recent development and application of laser induced breakdown spectroscopy

Chen¹,

Jing²,

Song³

et al. 2015

Chin. Sci. Bull.

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Release characteristic of different classes of sodium during combustion of Zhun-Dong coal investigated by laser-induced breakdown spectroscopy Science Bulletin 60, 1927 (2015); Angular-based spatially resolved laser-induced breakdown spectroscopy: a new technique for the effective enhancement of signals without an external time delay system Chinese Science Bulletin 59, 3377 (2014); Preliminary study of identifying trench oil based on laser-induced breakdown spectroscopy

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Section: 激光诱导击穿光谱在生物医学领域的应用unclassified

Recent development and application of laser induced breakdown spectroscopy

Chen¹,

Jing²,

Song³

et al. 2015

Chin. Sci. Bull.

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“…Effect of fruit powder has been studied on blood sugar and lipid profile of normal albino rabbits [84]. Aqueous extract of seeds and leaves have glycemic elemental profile and have shown antihyperglycemic, hepatoprotective properties [28–30, 85–88]. …”

Section: Indian Plants and Their Glycemic Elementsmentioning

confidence: 99%

Use of Laser-Induced Breakdown Spectroscopy for the Detection of Glycemic Elements in Indian Medicinal Plants

Kumar

Srivastava

Sharma

et al. 2013

Evidence-Based Complementary and Alternative Medicine

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The demand for interdisciplinary research is increasing in the new millennium to help us understand complex problems and find solutions by integrating the knowledge from different disciplines. The present review is an excellent example of this and shows how unique combination of physics, chemistry, and biological techniques can be used for the evaluation of Indian medicinal herbs used for treating diabetes mellitus. Laser-induced breakdown spectroscopy (LIBS) is a sensitive optical technique that is widely used for its simplicity and versatility. This review presents the most recent application of LIBS for detection of glycemic elements in medicinal plants. The characteristics of matrices, object analysis, use of laser system, and analytical performances with respect to Indian herbs are discussed.

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“…The emitted spectra from the plasma are collected for multi-element analysis (Liu et al, 2019;Wang et al, 2020). So far, LIBS technology has been widely used in qualitative and quantitative analysis in agricultural products such as rice (Luo et al, 2020), psoralea corylifolia seeds (Dhar et al, 2013), cucurbit seeds (Singh et al, 2017), coffee beans (Song et al, 2017), soybean seeds (Gamela et al, 2020;Larios et al, 2020), and grape seeds (He et al, 2020). However, the samples above were grounded and pressed into tablets before collecting LIBS spectra for better signals, which greatly reduced the detection efficiency.…”

Section: Introductionmentioning

confidence: 99%

Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network

Liu

et al. 2021

Front. Plant Sci.

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Soybean seed purity is a critical factor in agricultural products, standardization of seed quality, and food processing. In this study, laser-induced breakdown spectroscopy (LIBS) as an effective technology was successfully used to identify ten varieties of soybean seeds. We improved the traditional sample preparation scheme for LIBS. Instead of grinding and squashing, we propose a time-efficient method by pressing soybean seeds into rubber sand filled with culture plates through a ruler to ensure a relatively uniform surface height. In our experimental scheme, three LIBS spectra were finally collected for each soybean seed. A majority vote based on three spectra was applied as the final decision judging the attribution of a single soybean seed. The results showed that the support vector machine (SVM) obtained the optimal identification accuracy of 90% in the prediction set. In addition, PCA-ResNet (propagation coefficient adaptive ResNet) and PCSA-ResNet (propagation coefficient synchronous adaptive ResNet) were designed based on typical ResNet structure by changing the way of self-adaption of propagation coefficients. Combined with a new form of input data called spectral matrix, PCSA-ResNet obtained the optimal performance with the discriminate accuracy of 91.75% in the prediction set. T-distributed stochastic neighbor embedding (t-SNE) was used to visualize the clustering process of the extracted features by PCSA-ResNet. For the interpretation of the good performance of PCSA-ResNet coupled with the spectral matrix, saliency maps were further applied to visually show the pixel positions of the spectral matrix that had a significant influence on the discrimination results, indicating that the content and proportion of elements in soybean seeds could reflect the variety differences.

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A Possible Connection Between Antidiabetic & Antilipemic Properties of Psoralea corylifolia Seeds and the Trace Elements Present: A LIBS Based Study

Cited by 10 publications

References 28 publications

Recent development and application of laser induced breakdown spectroscopy

Recent development and application of laser induced breakdown spectroscopy

Use of Laser-Induced Breakdown Spectroscopy for the Detection of Glycemic Elements in Indian Medicinal Plants

Fast Identification of Soybean Seed Varieties Using Laser-Induced Breakdown Spectroscopy Combined With Convolutional Neural Network

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