zhpsЖурнал прикладной спектроскопииZhurnal Prikladnoii Spektroskopii0514-7506B. I. Stepanov Institute of Physics of the National Academy of Scienceszhps-1070Research ArticleАННОТАЦИИ АНГЛОЯЗЫЧНЫХ СТАТЕЙABSTRACTS ENGLISH-LANGUAGE ARTICLESПовышение точности определения места происхождения риса методом лазерно-искровой эмиссионной спектроскопии с помощью метода опорных векторовAccuracy Improvement of Geographical Indication of Rice by Laser-Induced Breakdown Spectroscopy Using Support Vector Machine with Multi-Spectral LineYangP.YangP.

Чанчжоу, Цзянсу

Changzhou, Jiangsu

pyang2013@163.comLiuH. T.LiuH. T.

Чанчжоу, Цзянсу

Changzhou, Jiangsu

NieZ. L.NieZ. L.

Чанчжоу, Цзянсу

Changzhou, Jiangsu

QuX. N.QuX. N.

Чанчжоу, Цзянсу

Changzhou, Jiangsu

Колледж информационных технологий Института электроники ЧанчжоуInstitute of Electronic, Changzhou College of Information Technology202226052022893434434Copyright © Yang P., Liu H.T., Nie Z.L., Qu X.N., 20222022Yang P., Liu H.T., Nie Z.L., Qu X.N.Yang P., Liu H.T., Nie Z.L., Qu X.N.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/1070

С использованием лазерно-искровой эмиссионной спектроскопии разработан метод быстрого обнаружения различий между образцами риса из десяти различных географических местностей Китая. Для расчета скорости распознавания одиночных спектральных линий и мультиспектральных линий для образцов риса различного происхождения использован метод опорных векторов. Обнаружено, что регулировка спектральных весов многоспектрального линейного состава минеральных металлических элементов выше, что увеличивает скорость идентификации происхождения риса. Точность распознавания одиночных спектральных линий и мультиспектральных линий 90.8 и 94.6 %.

Mislabeling and adulteration are problems in the food industry. Considering the frequent occurrence of safety affairs in agricultural products, it is necessary to establish a traceability system for the quality and safety of agricultural products. The aim of the present study was to establish a rapid detection method for distinguishing rice samples from ten different products of geographical indication in China using laser-induced breakdown spectroscopy (LIBS). A support vector machine (SVM) is used to calculate the recognition rate of single spectral lines and multi-spectral lines of the geographic origins of rice. The adjusting spectral weighting of the multi-spectral line composition of mineral metal elements is higher, which can effectively improve the identification rate of the origin of the rice. The results show that the classification accuracies of single spectral line recognition and multi-spectral line recognition are 90.8 and 94.6%, respectively. It can be concluded that the LIBS technique combined with SVM should be a promising tool for rapidly distinguishing different geographic origins of rice.

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