Fast Quantification of Honey Adulteration with Laser-Induced Breakdown Spectroscopy and Chemometric Methods

被引:36
作者
Peng, Jiyu [1 ]
Xie, Weiyue [1 ]
Jiang, Jiandong [1 ]
Zhao, Zhangfeng [1 ]
Zhou, Fei [2 ,4 ]
Liu, Fei [3 ]
机构
[1] Zhejiang Univ Technol, Key Lab E&M, Minist Educ & Zhejiang Prov, Hangzhou 310014, Peoples R China
[2] China Jiliang Univ, Coll Standardizat, Hangzhou 310018, Peoples R China
[3] Zhejiang Univ, Coll Biosyst Engn & Food Sci, Hangzhou 310058, Peoples R China
[4] Beingmate Hangzhou Food Res Inst Co Ltd, Hangzhou 311106, Peoples R China
基金
中国博士后科学基金; 国家重点研发计划;
关键词
honey; adulteration; feature variable; partial least square regression; laser-induced breakdown spectroscopy; FOOD FRAUD; SELECTION;
D O I
10.3390/foods9030341
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
Honey adulteration is a major issue in food production, which may reduce the effective components in honey and have a detrimental effect on human health. Herein, laser-induced breakdown spectroscopy (LIBS) combined with chemometric methods was used to fast quantify the adulterant content. Two common types of adulteration, including mixing acacia honey with high fructose corn syrup (HFCS) and rape honey, were quantified with univariate analysis and partial least squares regression (PLSR). In addition, the variable importance was tested with univariable analysis and feature selection methods (genetic algorithm (GA), variable importance in projection (VIP), selectivity ratio (SR)). The results indicated that emissions from Mg II 279.58, 280.30 nm, Mg I 285.25 nm, Ca II 393.37, 396.89 nm, Ca I 422.70 nm, Na I 589.03, 589.64 nm, and K I 766.57, 769.97 nm had compact relationship with adulterant content. Best models for detecting the adulteration ratio of HFCS 55, HFCS 90, and rape honey were achieved by SR-PLSR, VIP-PLSR, and VIP-PLSR, with root-mean-square error (RMSE) of 8.9%, 8.2%, and 4.8%, respectively. This study provided a fast and simple approach for detecting honey adulteration.
引用
收藏
页数:9
相关论文
共 23 条
  • [1] Regional discrimination of oysters using laser-induced breakdown spectroscopy
    Akpovo, Charlemagne A.
    Martinez, Jorge A., Jr.
    Lewis, Dawn E.
    Branch, John
    Schroeder, Alexander
    Edington, Maurice D.
    Johnson, Lewis
    [J]. ANALYTICAL METHODS, 2013, 5 (16) : 3956 - 3964
  • [2] Classification of adulterated honeys by multivariate analysis
    Amiry, Saber
    Esmaiili, Mohsen
    Alizadeh, Mohammad
    [J]. FOOD CHEMISTRY, 2017, 224 : 390 - 397
  • [3] Untargeted headspace gas chromatography - Ion mobility spectrometry analysis for detection of adulterated honey
    Arroyo-Manzanares, Natalia
    Garcia-Nicolas, Maria
    Castell, Ana
    Campillo, Natalia
    Vinas, Pilar
    Lopez-Garcia, Ignacio
    Hernandez-Cordoba, Manuel
    [J]. TALANTA, 2019, 205
  • [4] Analysis of bakery products by laser-induced breakdown spectroscopy
    Bilge, Gonca
    Boyaci, Ismail Hakki
    Eseller, Kemal Efe
    Tamer, Ugur
    Cakir, Serhat
    [J]. FOOD CHEMISTRY, 2015, 181 : 186 - 190
  • [5] SIMPLS - AN ALTERNATIVE APPROACH TO PARTIAL LEAST-SQUARES REGRESSION
    DEJONG, S
    [J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, 1993, 18 (03) : 251 - 263
  • [6] Detection of Adulterated Honey by Fluorescence Excitation-Emission Matrices
    Dramicanin, Tatjana
    Ackovic, Lea Lenhardt
    Zekovic, Ivana
    Dramicaninn, Miroslav D.
    [J]. JOURNAL OF SPECTROSCOPY, 2018, 2018
  • [7] Comparison of the variable importance in projection (VIP) and of the selectivity ratio (SR) methods for variable selection and interpretation
    Farres, Mireia
    Platikanov, Stefan
    Tsakovski, Stefan
    Tauler, Roma
    [J]. JOURNAL OF CHEMOMETRICS, 2015, 29 (10) : 528 - 536
  • [8] Determination of Ca in breakfast cereals by laser induced breakdown spectroscopy
    Ferreira, Edilene C.
    Menezes, Eveline A.
    Matos, Wladiana O.
    Milori, Debora M. B. P.
    Nogueira, Ana Rita A.
    Martin-Neto, Ladislau
    [J]. FOOD CONTROL, 2010, 21 (10) : 1327 - 1330
  • [9] Rapid quantification of honey adulteration by visible-near infrared spectroscopy combined with chemometrics
    Ferreiro-Gonzalez, Marta
    Espada-Bellido, Estrella
    Guillen-Cueto, Lucia
    Palma, Miguel
    Barroso, Carmelo G.
    Barbero, Gerardo F.
    [J]. TALANTA, 2018, 188 : 288 - 292
  • [10] GENETIC ALGORITHMS - PRINCIPLES OF NATURAL-SELECTION APPLIED TO COMPUTATION
    FORREST, S
    [J]. SCIENCE, 1993, 261 (5123) : 872 - 878