Determination of carbaryl pesticide in Fuji apples using surface-enhanced Raman spectroscopy coupled with multivariate analysis

LWT

Volumn 60, Issue 1, 2015, Pages 352-357

  Fan, Yuxia ^a   Lai, Keqiang ^a   Rasco, Barbara A ^b   Huang, Yiqun ^a,b  

^a SHANGHAI OCEAN UNIVERSITY   (China)

^b WASHINGTON STATE UNIVERSITY   (United States)

Author keywords

Carbaryl; Fruit; Multivariate analysis; Pesticide; Surface enhanced raman spectroscopy

Indexed keywords

CHEMICAL CONTAMINATION; FOOD SAFETY; FRUITS; INSECTICIDES; LEAST SQUARES APPROXIMATIONS; LIGHT TRANSMISSION; MEAN SQUARE ERROR; PESTICIDES; RAMAN SPECTROSCOPY; SPECTRUM ANALYSIS; SUPPORT VECTOR REGRESSION;

CARBARYL; LEAVE-ONE-OUT CROSS VALIDATIONS; MAXIMUM RESIDUE LEVELS; MULTI VARIATE ANALYSIS; PARTIAL LEAST SQUARES REGRESSIONS (PLSR); ROOT MEAN SQUARE ERRORS; SUPPORT VECTOR REGRESSION (SVR); SURFACE ENHANCED RAMAN SPECTROSCOPY;

MULTIVARIANT ANALYSIS;

MALUS X DOMESTICA;

EID: 85027936536     PISSN: 00236438     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.lwt.2014.08.011     Document Type: Article

References (43)

1. Alvarez-Puebla R.A., Liz-Marzán L.M. Traps and cages for universal SERS detection. Chemical Society Reviews 2012, 41:43-51.
2. Barman I., Dingari N.C., Singh G.P., Soares J.S., Dasari R.R., Smulko J.M. Investigation of noise-induced instabilities in quantitative biological spectroscopy and its implications for noninvasive glucose monitoring. Analytical Chemistry 2012, 84:8149-8156.
3. Chang C.C., Lin C.J. LIBSVM: a library for support vector machines. ACM Transactions on Intelligent Systems and Technology 2011, 2:27.
4. Cheung W., Shadi I.T., Xu Y., Goodacre R. Quantitative analysis of the banned food dye Sudan-1 using surface enhanced Raman scattering with multivariate chemometrics. The Journal of Physical Chemistry C 2010, 114:7285-7290.
5. Chung S.W.C., Chen B.L.S. Determination of organochlorine pesticide residues in fatty foods: a critical review on the analytical methods and their testing capabilities. Journal of Chromatography A 2011, 1218:5555-5567.
6. Fan Y., Lai K., Rasco B.A., Huang Y. Analyses of phosmet residues in apples with surface-enhanced Raman spectroscopy. Food Control 2014, 37:153-157.
7. GB2763-2012 National food safety standard-maximum residue limits for pesticides in food 2012, China.
8. Geladi P., Kowalski B.R. Partial least squares regression: a tutorial. Analytica Chimica Acta 1986, 185:1-17.
9. Goodarzi M., Freitas M.P., Jensen R. Ant colony optimization as a feature selection method in the QSAR modeling of anti-HIV-1 activities of 3-(3, 5-dimethylbenzyl) uracil derivatives using MLR, PLS and SVM regressions. Chemometrics and intelligent laboratory systems 2009, 98:123-129.
10. GPO U.S. government printing office: Washington, DC 2013, Last Accessed on 25.11.13. http://www.ecfr.gov/cgi-bin/retrieveECFR?gp = 1%26SID = 02d2de07af6748dc86e606d9f953e8eb%26ty = HTML%26h = L%26r = SECTION%26n = 40y25.0.1.1.27.3.19.26.
11. Hernández F., Cervera M., Portolés T., Beltrán J., Pitarch E. The role of GC-MS/MS with triple quadrupole in pesticide residue analysis in food and the environment. Analytical Methods 2013, 5:5875-5894.
12. Jiang J., Bosnick K., Maillard M., Brus L. Single molecule Raman spectroscopy at the junctions of large Ag nanocrystals. Journal of Physical Chemistry B 2003, 107:9964-9972.
13. Karami-Mohajeri S., Abdollahi M. Toxic influence of organophosphate, carbamate, and organochlorine pesticides on cellular metabolism of lipids, proteins, and carbohydrates: a systematic review. Human & Experimental Toxicology 2011, 30:1119-1140.
14. Lai K., Zhai F., Zhang Y., Wang X., Rasco B.A., Huang Y. Application of surface enhanced Raman spectroscopy for analyses of restricted sulfa drugs. Sensing and Instrumentation for Food Quality and Safety 2011, 5:91-96.
15. Li C., Huang Y., Pei L., Wu W., Yu W., Rasco B.A., et al. Analyses of trace crystal violet and leucocrystal violet with gold nanospheres and commercial gold nanosubstrates for surface-enhanced Raman spectroscopy. Food Analytical Methods 2014, 10.1007/s12161-014-9857-z.
16. Lin M., He L., Awika J., Yang L., Ledoux D.R., Li H., et al. Detection of melamine in gluten, chicken feed, and processed foods using surface enhanced Raman spectroscopy and HPLC. Journal of Food Science 2008, 73:T129-T134.
17. Liu B.H., Han G.M., Zhang Z.P., Liu R.Y., Jiang C.L., Wang S.H., et al. Shell thickness-dependent Raman enhancement for rapid identification and detection of pesticide residues at fruit peels. Analytical Chemistry 2012, 84:255-261.
18. Liu B., Zhou P., Liu X., Sun X., Li H., Lin M. Detection of pesticides in fruits by surface-enhanced Raman spectroscopy coupled with gold nanostructures. Food and Bioprocess Technology 2013, 6:710-718.
19. Martens H. Multivariate calibration 1989, John Wiley & Sons Ltd, New York, USA.
20. Martens M., Martens H. Partial least squares regression. Statistical procedures in food research 1986, 293-359.
21. McCreery R.L. Raman spectroscopy for chemical analysis 2005, John Wiley & Sons Ltd, New York, USA.
22. Mickova B., Zrostlikova J., Hajslova J., Rauch P., Moreno M.J., Abad A., et al. Correlation study of enzyme-linked immunosorbent assay and high-performance liquid chromatography/tandem mass spectrometry for the determination of N-methylcarbamate insecticides in baby food. Analytica Chimica Acta 2003, 495:123-132.
23. Naujok R.R., Duevel R.V., Corn R.M. Fluorescence and Fourier transform surface-enhanced Raman scattering measurements of methylene blue adsorbed onto a sulfur-modified gold electrode. Langmuir 1993, 9:1771-1774.
24. Nie S.M., Emery S.R. Probing single molecules and single nanoparticles by surface-enhanced Raman scattering. Science 1997, 275:1102-1106.
25. Niessen W.M.A. Group-specific fragmentation of pesticides and related compounds in liquid chromatography-tandem mass spectrometry. Journal of Chromatography A 2010, 1217:4061-4070.
26. Pan Y., Lai K., Fan Y., Li C., Pei L., Rasco B.A., et al. Determination of tert-butylhydroquinone in vegetable oils using surface-enhanced Raman spectroscopy. Journal of Food Science 2014, 79:T1225-T1230.
27. Pang G.F., Fan C.L., Liu Y.M., Cao Y.Z., Zhang J.J., Li X.M., et al. Determination of residues of 446 pesticides in fruits and vegetables by three-cartridge solid-phase extraction gas chromatography-mass spectrometry and liquid chromatography-tandem mass spectrometry. Journal of AOAC International 2006, 89:740-771.
28. Pei L., Huang Y., Li C., Zhang Y., Rasco B.A., Lai K. Detection of triphenylmethane drugs in fish muscle by surface-enhanced Raman spectroscopy coupled with Au-Ag core-shell nanoparticles. Journal of Nanomaterials 2014, Article ID 730915. http://dx.doi.org/10.1155/2014/730915.
29. Saute B., Premasiri R., Ziegler L., Narayanan R. Gold nanorods as surface enhanced Raman spectroscopy substrates for sensitive and selective detection of ultra-low levels of dithiocarbamate pesticides. Analyst 2012, 137:5082-5087.
30. Shende C.S., Inscore F., Gift A., Maksymiuk P., Farquharson S. Analysis of pesticides on or in fruit by surface-enhanced Raman spectroscopy. Proceedings of SPIE 2004, 170-176.
31. Shi T., Cui L., Wang J., Fei T., Chen Y., Wu G. Comparison of multivariate methods for estimating soil total nitrogen with visible/near-infrared spectroscopy. Plant and Soil 2013, 1-13.
32. Smith W.E. Practical understanding and use of surface enhanced Raman scattering/surface enhanced resonance Raman scattering in chemical and biological analysis. Chemical Society Review 2008, 37:955-964.
33. Smola A.J., Schölkopf B. Atutorial on support vector regression. Statistics and computing 2004, 14:199-222.
34. Song X.Y., Shi Y.P., Chen J. Carbon nanotubes-reinforced hollow fibre solid-phase microextraction coupled with high performance liquid chromatography for the determination of carbamate pesticides in apples. Food Chemistry 2013, 139:246-252.
35. Sun J., Dong T., Zhang Y., Wang S. Development of enzyme linked immunoassay for the simultaneous detection of carbaryl and metolcarb in different agricultural products. Analytica Chimica Acta 2010, 666:76-82.
36. The Japan Food Chemical Research Foundation Revision of MRLs of agricultural chemicals, feed additives and veterinary drugs in foods 2013, (Last accessed on November 25, 2013). http://www.m5.ws001.squarestart.ne.jp/foundation/fooddtl.php?f_inq = 9000.
37. Vapnik V. The nature of statistical learning theory 1995, springer, New York.
38. Vohland M., Besold J., Hill J., Fründ H.-C. Comparing different multivariate calibration methods for the determination of soil organic carbon pools with visible to near infrared spectroscopy. Geoderma 2011, 166:198-205.
39. Wu Q., Zhou X., Li Y., Zang X., Wang C., Wang Z. Application of dispersive liquid-liquid microextraction combined with high-performance liquid chromatography to the determination of carbamate pesticides in water samples. Analytical and Bioanalytical Chemistry 2009, 393:1755-1761.
40. Zhai F., Huang Y., Li C., Wang X., Lai K. Rapid determination of ractopamine in swine urine using surface-enhanced Raman spectroscopy. Journal of Agricultural and Food Chemistry 2011, 59:10023-10027.
41. Zhang Y., Huang Y., Zhai F., Du R., Liu Y., Lai K. Analyses of enrofloxacin, furazolidone and malachite green in fish products with surface-enhanced Raman spectroscopy. Food Chemistry 2012, 135:845-850.
42. Zhang Y., Lai K., Zhou J., Wang X., Rasco B.A., Huang Y. Anovel approach to determine leucomalachite green and malachite green in fish fillets with surface-enhanced Raman spectroscopy (SERS) and multivariate analyses. Journal of Raman Spectroscopy 2012, 43:1208-1213.
43. Zhang X.F., Zou M.Q., Qi X.H., Liu F., Zhu X.H., Zhao B.H. Detection of melamine in liquid milk using surface-enhanced Raman scattering spectroscopy. Journal of Raman Spectroscopy 2010, 41:1655-1660.