{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,9]],"date-time":"2026-05-09T10:55:54Z","timestamp":1778324154264,"version":"3.51.4"},"reference-count":30,"publisher":"MDPI AG","issue":"7","license":[{"start":{"date-parts":[[2020,3,28]],"date-time":"2020-03-28T00:00:00Z","timestamp":1585353600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"National Key R&amp;D Program of China","award":["2018YFD0700502"],"award-info":[{"award-number":["2018YFD0700502"]}]},{"name":"Zhejiang Provincial Key Research and Development Program","award":["2017C02027"],"award-info":[{"award-number":["2017C02027"]}]},{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","award":["2019M652143"],"award-info":[{"award-number":["2019M652143"]}],"id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Traceability of honey is highly required by consumers and food administration with the consideration of food safety and quality. In this study, a technique named laser-induced breakdown spectroscopy (LIBS) was used to fast trace geographical origins of acacia honey and multi-floral honey. LIBS emissions from elements of Mg, Ca, Na, and K had significant differences among different geographical origins. The clusters of honey from different geographical origins were visualized with principal component analysis. In addition, support vector machine (SVM) and linear discrimination analysis (LDA) were used to quantitively classify the origins. The results indicated that SVM performed better than LDA, and the discriminant results of multi-floral honey were better than acacia honey. The accuracy and mean average precision for multi-floral honey were 99.7% and 99.7%, respectively. This study provided a fast approach for geographical origin classification, and might be helpful for food traceability.<\/jats:p>","DOI":"10.3390\/s20071878","type":"journal-article","created":{"date-parts":[[2020,4,1]],"date-time":"2020-04-01T03:44:13Z","timestamp":1585712653000},"page":"1878","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":38,"title":["Fast Classification of Geographical Origins of Honey Based on Laser-Induced Breakdown Spectroscopy and Multivariate Analysis"],"prefix":"10.3390","volume":"20","author":[{"given":"Zhangfeng","family":"Zhao","sequence":"first","affiliation":[{"name":"Key Laboratory of E &amp; M, Zhejiang University of Technology, Ministry of Education &amp; Zhejiang Province, Hangzhou 310014, China"}]},{"given":"Lun","family":"Chen","sequence":"additional","affiliation":[{"name":"Key Laboratory of E &amp; M, Zhejiang University of Technology, Ministry of Education &amp; Zhejiang Province, Hangzhou 310014, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0266-6896","authenticated-orcid":false,"given":"Fei","family":"Liu","sequence":"additional","affiliation":[{"name":"College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1488-8349","authenticated-orcid":false,"given":"Fei","family":"Zhou","sequence":"additional","affiliation":[{"name":"College of Standardization, China Jiliang University, Hangzhou 310018, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2842-170X","authenticated-orcid":false,"given":"Jiyu","family":"Peng","sequence":"additional","affiliation":[{"name":"Key Laboratory of E &amp; M, Zhejiang University of Technology, Ministry of Education &amp; Zhejiang Province, Hangzhou 310014, China"}]},{"given":"Minghua","family":"Sun","sequence":"additional","affiliation":[{"name":"Hangzhou Landa Science and Technology Co., Ltd., Hangzhou 310030, China"}]}],"member":"1968","published-online":{"date-parts":[[2020,3,28]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1016\/j.foodres.2019.01.028","article-title":"An overview of physicochemical characteristics and health-promoting properties of honeydew honey","volume":"119","author":"Silva","year":"2019","journal-title":"Food Res. Int."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"267","DOI":"10.1016\/j.scispo.2018.02.007","article-title":"Effects of honey on exercise performance and health components: A systematic review","volume":"33","author":"Yusof","year":"2018","journal-title":"Sci. Sports"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1016\/j.job.2018.12.003","article-title":"Honey in oral health and care: A mini review","volume":"61","author":"Ramsay","year":"2019","journal-title":"J. Oral Biosci."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1016\/j.jfca.2015.05.003","article-title":"Geographical discrimination of Italian honey by multi-element analysis with a chemometric approach","volume":"44","author":"Potorti","year":"2015","journal-title":"J. Food Compos. Anal."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1080\/10942912.2019.1576730","article-title":"Influence of origins and bee species on physicochemical, antioxidant properties and botanical discrimination of stingless bee honey","volume":"22","author":"Shamsudin","year":"2019","journal-title":"Int. J. Food Prop."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"1203","DOI":"10.1007\/s00217-018-3036-1","article-title":"Pilot study on the discrimination of commercial Leptospermum honeys from New Zealand and Australia by HPLC-MS\/MS analysis","volume":"244","author":"Rueckriemen","year":"2018","journal-title":"Eur. Food Res. Technol."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"401","DOI":"10.1007\/s12161-014-9903-x","article-title":"Geographical and Botanical Origin Discrimination of Romanian Honey Using Complex Stable Isotope Data and Chemometrics","volume":"8","author":"Dinca","year":"2015","journal-title":"Food Anal. Methods"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1939","DOI":"10.1007\/s00217-019-03306-z","article-title":"Nutritional aspects and botanical origin recognition of Mediterranean honeys based on the \u201cmineral imprint\u2019\u2019 with the application of supervised and non-supervised statistical techniques","volume":"245","author":"Karabagias","year":"2019","journal-title":"Eur. Food Res. Technol."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Karabagias, V.K., Karabagias, I.K., Louppis, A., Badeka, A., Kontominas, M.G., and Papastephanou, C. (2019). Valorization of Prickly Pear Juice Geographical Origin Based on Mineral and Volatile Compound Contents Using LDA. Foods, 8.","DOI":"10.3390\/foods8040123"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Louppis, A.P., Karabagias, I.K., Papastephanou, C., and Badeka, A. (2019). Two-Way Characterization of Beekeepers\u2019 Honey According to Botanical Origin on the Basis of Mineral Content Analysis Using ICP-OES Implemented with Multiple Chemometric Tools. Foods, 8.","DOI":"10.3390\/foods8060210"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/j.saa.2018.02.009","article-title":"Terahertz time-domain attenuated total reflection spectroscopy applied to the rapid discrimination of the botanical origin of honeys","volume":"196","author":"Liu","year":"2018","journal-title":"Spectrochim. Acta Part A Mol. Biomol. Spectrosc."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"24","DOI":"10.1016\/j.snb.2019.01.023","article-title":"Insight into the sensing mechanism of an impedance based electronic tongue for honey botanic origin discrimination","volume":"285","author":"Elamine","year":"2019","journal-title":"Sens. Actuators B Chem."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"151","DOI":"10.1016\/j.jfoodeng.2016.01.016","article-title":"Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey","volume":"178","author":"Gan","year":"2016","journal-title":"J. Food Eng."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1016\/j.foodchem.2018.05.084","article-title":"Chemical profiling and multivariate data fusion methods for the identification of the botanical origin of honey","volume":"266","author":"Ballabio","year":"2018","journal-title":"Food Chem."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"297","DOI":"10.1016\/j.foodchem.2014.07.122","article-title":"The discrimination of honey origin using melissopalynology and Raman spectroscopy techniques coupled with multivariate analysis","volume":"169","author":"Corvucci","year":"2015","journal-title":"Food Chem."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"690","DOI":"10.1007\/s11467-012-0259-7","article-title":"Recent progress on laser-induced breakdown spectroscopy for the monitoring of coal quality and unburned carbon in fly ash","volume":"7","author":"Zhang","year":"2012","journal-title":"Front. Phys."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"11","DOI":"10.1016\/j.sab.2013.05.017","article-title":"Applications of laser-induced breakdown spectroscopy for geochemical and environmental analysis: A comprehensive review","volume":"87","author":"Harmon","year":"2013","journal-title":"Spectrochim. Acta. Part B"},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"260","DOI":"10.1016\/j.trac.2016.08.015","article-title":"Challenging applications for multi-element analysis by laser-induced breakdown spectroscopy in agriculture: A review","volume":"85","author":"Peng","year":"2016","journal-title":"Trends Analyt. Chem."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1016\/j.compag.2019.01.020","article-title":"Predicting the botanical and geographical origin of honey with multivariate data analysis and machine learning techniques: A review","volume":"157","author":"Maione","year":"2019","journal-title":"Comput. Electron. Agric."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"44551","DOI":"10.1038\/srep44551","article-title":"Fast detection of tobacco mosaic virus infected tobacco using laser-induced breakdown spectroscopy","volume":"7","author":"Peng","year":"2017","journal-title":"Sci. Rep."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1038\/nbt0308-303","article-title":"What is principal component analysis?","volume":"26","author":"Ringner","year":"2008","journal-title":"Nat. Biotechnol."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2812","DOI":"10.1039\/C3AY41907J","article-title":"Principal component analysis","volume":"6","author":"Bro","year":"2014","journal-title":"Anal. Methods"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.isprsjprs.2010.11.001","article-title":"Support vector machines in remote sensing: A review","volume":"66","author":"Mountrakis","year":"2011","journal-title":"ISPRS J. Photogramm."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1641","DOI":"10.1007\/s00216-008-1989-9","article-title":"Application of multivariate data-analysis techniques to biomedical diagnostics based on mid-infrared spectroscopy","volume":"391","author":"Wang","year":"2008","journal-title":"Anal. Bioanal. Chem."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"443","DOI":"10.1007\/s13042-013-0226-9","article-title":"Linear discriminant analysis for the small sample size problem: An overview","volume":"6","author":"Sharma","year":"2014","journal-title":"Int. J. Mach. Learn. Cybern."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"1868","DOI":"10.1080\/10408398.2018.1431763","article-title":"Recent applications of multivariate data analysis methods in the authentication of rice and the most analyzed parameters: A review","volume":"59","author":"Maione","year":"2019","journal-title":"Crit. Rev. Food Sci. Nutr."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"262","DOI":"10.1016\/j.foodres.2013.08.034","article-title":"An overview of the use of infrared spectroscopy and chemometrics in authenticity and traceability of cereals","volume":"60","author":"Cozzolino","year":"2014","journal-title":"Food Res. Int."},{"key":"ref_28","unstructured":"Oweiss, K.G. (2010). Chapter 10-Statistical Pattern Recognition and Machine Learning in Brain\u2013Computer Interfaces. Statistical Signal Processing for Neuroscience and Neurotechnology, Academic Press."},{"key":"ref_29","unstructured":"Kramida, A., Ralchenko, Y., and Reader, J. (2015). NIST Atomic Spectra Database."},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1166","DOI":"10.1039\/C7JA00114B","article-title":"A fast variable selection method for quantitative analysis of soils using laser-induced breakdown spectroscopy","volume":"32","author":"Fu","year":"2017","journal-title":"J. Anal. At. Spectrom."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/7\/1878\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:12:44Z","timestamp":1760173964000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/7\/1878"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3,28]]},"references-count":30,"journal-issue":{"issue":"7","published-online":{"date-parts":[[2020,4]]}},"alternative-id":["s20071878"],"URL":"https:\/\/doi.org\/10.3390\/s20071878","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3,28]]}}}