zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-134Research ArticleСтатьиInsitu АНАЛИЗ ФEЙЕРВЕРКОВ МЕТОДАМИ ЛАЗЕРНО-ИНДУЦИРОВАННОЙ СПЕКТРОСКОПИИ И ХЕМОМЕТРИИIn situ ANALYSIS OF FIREWORKS USING LASER-INDUCED BREAKDOWN SPECTROSCOPY AND CHEMOMETRICSAwasthiS. .AwasthiS. .noemail@neicon.ruKumarR. .KumarR. .noemail@neicon.ruRaiA. K.RaiA. K.awadheshkrai@rediffmail.comУниверситет АллахабадаUniversity of Allahabad201710032020845753757Copyright © Awasthi S..., Kumar R..., Rai A.K., 20202020Awasthi S..., Kumar R..., Rai A.K.Awasthi S..., Kumar R..., Rai A.K.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://zhps.ejournal.by/jour/article/view/134

C помощью методов лазерно-индуцированной спектроскопии (ЛИС) анализируются различные типы доступных в продаже фейерверков. Для спектральных измерений использована система, включающая в себя импульсный Nd:YAG-лазер (l = 532 нм, длительность импульса 4 нс), а также спектрометр AndorMechelle ME 5000 Echelle. В спектрах различных фейерверков обнаружены Ba, Ca, Mg, Fe, Na, Sr, Si и Al. Эти элементы легко смешиваются и могут загрязнять окружающую среду. Для количественной оценки и выявления регрессии в сочетании с ЛИС использованы многовариантные статистические методы, такие как частичный квадратичный дискриминантный анализ, который перспективен для анализа большого количества данных.

Different types of fireworks are analyzed using the laser-induced breakdown spectroscopy (LIBS) technique. The system employed for spectral acquisition consists of a Nd:YAG laser (532 nm, FWHM = 4 ns) and an Andor Mechelle ME 5000 echelle spectrometer. The presence of Ba, Ca, Mg, Fe, Na, Sr, Si, and Al is identified in the LIBS spectra of different fireworks. These elements can mix easily into the surroundings and thus pollute the environment. In combination with LIBS, multivariate statistical methods, such as principal component analysis and partial least square discriminant analysis, are employed for qualitative classification, regression, and prediction purposes. These methods show good applicability for the classification and prediction of a large data set.

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The authors declare that there are no conflicts of interest present.