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Items: 1 to 20 of 105

1.

Improved maturity and ripeness classifications of Magnifera Indica cv. Harumanis mangoes through sensor fusion of an electronic nose and acoustic sensor.

Zakaria A, Shakaff AY, Masnan MJ, Saad FS, Adom AH, Ahmad MN, Jaafar MN, Abdullah AH, Kamarudin LM.

Sensors (Basel). 2012;12(5):6023-48. doi: 10.3390/s120506023.

2.

A biomimetic sensor for the classification of honeys of different floral origin and the detection of adulteration.

Zakaria A, Shakaff AY, Masnan MJ, Ahmad MN, Adom AH, Jaafar MN, Ghani SA, Abdullah AH, Aziz AH, Kamarudin LM, Subari N, Fikri NA.

Sensors (Basel). 2011;11(8):7799-822. doi: 10.3390/s110807799.

3.

Improved classification of Orthosiphon stamineus by data fusion of electronic nose and tongue sensors.

Zakaria A, Shakaff AY, Adom AH, Ahmad MN, Masnan MJ, Aziz AH, Fikri NA, Abdullah AH, Kamarudin LM.

Sensors (Basel). 2010;10(10):8782-96. doi: 10.3390/s101008782.

4.

A hybrid sensing approach for pure and adulterated honey classification.

Subari N, Mohamad Saleh J, Md Shakaff AY, Zakaria A.

Sensors (Basel). 2012 Oct 17;12(10):14022-40. doi: 10.3390/s121014022.

5.

E-Nose and e-Tongue combination for improved recognition of fruit juice samples.

Haddi Z, Mabrouk S, Bougrini M, Tahri K, Sghaier K, Barhoumi H, El Bari N, Maaref A, Jaffrezic-Renault N, Bouchikhi B.

Food Chem. 2014 May 1;150:246-53. doi: 10.1016/j.foodchem.2013.10.105.

PMID:
24360446
6.

Electronic-nose applications for fruit identification, ripeness and quality grading.

Baietto M, Wilson AD.

Sensors (Basel). 2015 Jan 6;15(1):899-931. doi: 10.3390/s150100899. Review.

7.

A comparison of different chemometrics approaches for the robust classification of electronic nose data.

Gromski PS, Correa E, Vaughan AA, Wedge DC, Turner ML, Goodacre R.

Anal Bioanal Chem. 2014 Nov;406(29):7581-90. doi: 10.1007/s00216-014-8216-7.

PMID:
25286877
8.

Classification of tea category using a portable electronic nose based on an odor imaging sensor array.

Chen Q, Liu A, Zhao J, Ouyang Q.

J Pharm Biomed Anal. 2013 Oct;84:77-83. doi: 10.1016/j.jpba.2013.05.046.

PMID:
23810847
9.

Monitoring of fresh-cut Valerianella locusta Laterr. shelf life by electronic nose and VIS-NIR spectroscopy.

Giovenzana V, Beghi R, Buratti S, Civelli R, Guidetti R.

Talanta. 2014 Mar;120:368-75. doi: 10.1016/j.talanta.2013.12.014.

PMID:
24468384
10.

Fruit volatile analysis using an electronic nose.

Vallone S, Lloyd NW, Ebeler SE, Zakharov F.

J Vis Exp. 2012 Mar 30;(61). pii: 3821. doi: 10.3791/3821.

11.

In-Line Sorting of Harumanis Mango Based on External Quality Using Visible Imaging.

Ibrahim MF, Ahmad Sa'ad FS, Zakaria A, Md Shakaff AY.

Sensors (Basel). 2016 Oct 27;16(11). pii: E1753.

12.

Characterization and classification of the aroma of beer samples by means of an MS e-nose and chemometric tools.

Vera L, Aceña L, Guasch J, Boqué R, Mestres M, Busto O.

Anal Bioanal Chem. 2011 Feb;399(6):2073-81. doi: 10.1007/s00216-010-4343-y. Erratum in: Anal Bioanal Chem. 2011 Apr;399(10):3633-4.

PMID:
21061001
13.

A compact and low cost electronic nose for aroma detection.

Macías Macías M, Agudo JE, García Manso A, García Orellana CJ, González Velasco HM, Gallardo Caballero R.

Sensors (Basel). 2013 Apr 25;13(5):5528-41. doi: 10.3390/s130505528.

14.

Improved algorithms for the classification of rough rice using a bionic electronic nose based on PCA and the Wilks distribution.

Xu S, Zhou Z, Lu H, Luo X, Lan Y.

Sensors (Basel). 2014 Mar 19;14(3):5486-501. doi: 10.3390/s140305486.

15.

Classification of root canal microorganisms using electronic-nose and discriminant analysis.

Aksebzeci BH, Asyalı MH, Kahraman Y, Er Ö, Kaya E, Özbilge H, Kara S.

Biomed Eng Online. 2010 Nov 22;9:77. doi: 10.1186/1475-925X-9-77.

16.

Rapid classification of hairtail fish and pork freshness using an electronic nose based on the PCA method.

Tian XY, Cai Q, Zhang YM.

Sensors (Basel). 2012;12(1):260-77. doi: 10.3390/s120100260.

17.
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19.

Differentiation of mangoes (Magnifera indica L.) conventional and organically cultivated according to their mineral content by using support vector machines.

Hernández-Sánchez C, Luis G, Moreno I, Cameán A, González AG, González-Weller D, Castilla A, Gutiérrez A, Rubio C, Hardisson A.

Talanta. 2012 Aug 15;97:325-30. doi: 10.1016/j.talanta.2012.04.038.

PMID:
22841087
20.

Classification of agarwood oil using an electronic nose.

Hidayat W, Shakaff AY, Ahmad MN, Adom AH.

Sensors (Basel). 2010;10(5):4675-85. doi: 10.3390/s100504675.

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