화학공학소재연구정보센터
검색결과 : 58건
No. Article
1 Impact of graphene nanoplatelet concentration and film thickness on vapor detection for polymer based chemiresistive sensors
Wiederoder MS, Weiss M, Yoon B, Paffenroth RC, McGraw SK, Uzarski JR
Current Applied Physics, 19(9), 978, 2019
2 On the feasibility of metal oxide gas sensor based electronic nose software modification to characterize rice ageing during storage
Rahimzadeh H, Sadeghi M, Ghasemi-Varnamkhasti M, Mireei SA, Tohidi M
Journal of Food Engineering, 245, 1, 2019
3 Black tea classification employing feature fusion of E-Nose and E-Tongue responses
Banerjee MB, Roy RB, Tudu B, Bandyopadhyay R, Bhattacharyya N
Journal of Food Engineering, 244, 55, 2019
4 A deep feature mining method of electronic nose sensor data for identifying beer olfactory information
Shi Y, Gong FR, Wang MY, Liv JJ, Wu YN, Men H
Journal of Food Engineering, 263, 437, 2019
5 Highly fluorescent carbon dots from enokitake mushroom as multi-faceted optical nanomaterials for Cr6+ and VOC detection and imaging applications
Pacquiao MR, de Luna MDG, Thongsai N, Kladsomboon S, Paoprasert P
Applied Surface Science, 453, 192, 2018
6 Stochastic modeling of the transient regime of an electronic nose for waste cooking oil classification
Siqueira AF, Melo MP, Giordani DS, Galhardi DRV, Santos BB, Batista PS, Ferreira ALG
Journal of Food Engineering, 221, 114, 2018
7 Instrumental approaches and innovative systems for saffron quality assessment
Kiani S, Minaei S, Ghasemi-Varnamkhasti M
Journal of Food Engineering, 216, 1, 2018
8 Fusion of electronic nose, electronic tongue and computer vision for animal source food authentication and quality assessment - A review
Di Rosa AR, Leone F, Cheli F, Chiofalo V
Journal of Food Engineering, 210, 62, 2017
9 Fusion of artificial senses as a robust approach to food quality assessment
Kiani S, Minaei S, Ghasemi-Varnamkhasti M
Journal of Food Engineering, 171, 230, 2016
10 Using sensor and spectral analysis to classify botanical origin and determine adulteration of raw honey
Gan ZL, Yang Y, Li J, Wen X, Zhu MH, Jiang YD, Ni YY
Journal of Food Engineering, 178, 151, 2016