Laser-Induced Breakdown Spectroscopy (LIBS) Quality Control and Origin Identification of Handmade Manufactured Cigars

Process quality control is essential for the manufacturing of Chinese Materia Medica. Non-destructive monitoring is still a challenge for the quality control of Chinese Materia Medica manufacturing. As the commonly used non-destructive process analysis technology, near infrared spectroscopy, near infrared chemical imaging, and laser-induced breakdown spectroscopy have been applied to the quality control of Chinese Materia Medica manufacturing. The characteristic near infrared bands of 29 natural chemical components have been assigned. Ten spectral pre-processing methods and five variable selection methods have been optimized, respectively. Given the interrelationship among modeling parameters, a system modeling concept was put forward to establish a global model. Accuracy Profile was further proposed as the validation method of models. In addition, the homogeneity of chlorpheniramine maleate tablets from six brands was successfully visualized by near infrared-chemical imaging. As and Hg variation in An-Gong-Niu-Huang Wan have been rapidly monitored by laser-induced breakdown spectroscopy. A systematic modeling method (model establishment, evaluation, and validation) and the non-destructive technology of homogeneity visualization and toxic element detection have been developed for quality control of Chinese Materia Medica manufacturing, which is shown in Figure 1 of the article. These achievements have greatly promoted the research and application of process analysis technology in Chinese Materia Medica manufacturing, laying a solid foundation for the development of intelligent Chinese pharmaceutical industry.

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Laser-induced breakdown spectroscopy: an advanced method for analysis of nanocarbon materials chemical composition

Journal of Analytical Atomic Spectrometry ◽

10.1039/c7ja00331e ◽

2018 ◽

Vol 33 (2) ◽

pp. 240-250 ◽

Cited By ~ 4

Author(s):

V. F. Lebedev ◽

M. K. Rabchinskii ◽

M. S. Kozlyakov ◽

D. N. Stepanov ◽

A. V. Shvidchenko ◽

...

Keyword(s):

Quality Control ◽

Chemical Composition ◽

Laser Induced Breakdown Spectroscopy ◽

Advanced Method ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown ◽

Nanocarbon Materials

The LIBS technique is a valuable and effective tool for quality control and the characterization of various nanocarbon structures.

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Application of Laser-Induced Breakdown Spectroscopy Coupled With Spectral Matrix and Convolutional Neural Network for Identifying Geographical Origins of Gentiana rigescens Franch

Frontiers in Artificial Intelligence ◽

10.3389/frai.2021.735533 ◽

2021 ◽

Vol 4 ◽

Author(s):

Xiaolong Li ◽

Wenwen Kong ◽

Xiaoli Liu ◽

Xi Zhang ◽

Wei Wang ◽

...

Keyword(s):

Neural Network ◽

Discriminant Analysis ◽

Convolutional Neural Network ◽

Geographical Origin ◽

Laser Induced Breakdown Spectroscopy ◽

Spectral Matrix ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown ◽

Gentiana Rigescens ◽

Origin Identification

Accurate geographical origin identification is of great significance to ensure the quality of traditional Chinese medicine (TCM). Laser-induced breakdown spectroscopy (LIBS) was applied to achieve the fast geographical origin identification of wild Gentiana rigescens Franch (G. rigescens Franch). However, LIBS spectra with too many variables could increase the training time of models and reduce the discrimination accuracy. In order to solve the problems, we proposed two methods. One was reducing the number of variables through two consecutive variable selections. The other was transforming the spectrum into spectral matrix by spectrum segmentation and recombination. Combined with convolutional neural network (CNN), both methods could improve the accuracy of discrimination. For the underground parts of G. rigescens Franch, the optimal accuracy in the prediction set for the two methods was 92.19 and 94.01%, respectively. For the aerial parts, the two corresponding accuracies were the same with the value of 94.01%. Saliency map was used to explain the rationality of discriminant analysis by CNN combined with spectral matrix. The first method could provide some support for LIBS portable instrument development. The second method could offer some reference for the discriminant analysis of LIBS spectra with too many variables by the end-to-end learning of CNN. The present results demonstrated that LIBS combined with CNN was an effective tool to quickly identify the geographical origin of G. rigescens Franch.

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Phosphorous Determination in Biochar-Based Fertilizers by Spark Discharge-Laser-Induced Breakdown Spectroscopy

Chemosensors ◽

10.3390/chemosensors9120337 ◽

2021 ◽

Vol 9 (12) ◽

pp. 337

Author(s):

Samia Rodrigues Dib ◽

Giorgio Saverio Senesi ◽

Jose Anchieta Gomes Neto ◽

Clovis Augusto Ribeiro ◽

Edilene Cristina Ferreira

Keyword(s):

Quality Control ◽

Matrix Effects ◽

Analytical Techniques ◽

Direct Analysis ◽

Spark Discharge ◽

Laser Induced Breakdown Spectroscopy ◽

Attractive Alternative ◽

Breakdown Spectroscopy ◽

Laser Induced Breakdown ◽

Matching Procedure

Biochar-based fertilizers are a new attractive alternative to P supplementation for crops, as they can gradually release the nutrient, avoiding losses and improving soil quality. In this regard, the evaluation of the P amount in biochar-based fertilizers is extremely important for their quality control. Analytical techniques that require sample solubilization are not very efficient for this task, as biochar is difficult to solubilize. Laser-induced breakdown spectroscopy (LIBS) is a promising technique to respond to this demand, as it enables a direct analysis of solid samples, avoiding the complicated process of sample solubilization. In this work, a novel method based on spark discharge (SD) coupled to LIBS was evaluated for P determination in biochar-based fertilizers prepared from three different biomasses. To overcome calibration problems in LIBS analysis, a matrix-matching procedure accomplished by the addition of eucalyptus biochar to calibration standards was used in experiments. This procedure minimized matrix effects and allowed us to achieve a satisfactory accuracy even when applied to similar but different matrices. Furthermore, the developed method is simple, fast, direct, does not generate post-analysis residues and appears appropriate for the quality control of sustainable biochar-based fertilizers and other biochar products.

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