- Adams, R. (2007). Identification of essential oil components by gaschromatography/quadrupole mass spectrometry. Journal of the American Society for Mass Spectrometry, 16, 1902-1903.
- Aghili Nategh, N., Dalvand, M. J., & Anvar, A. (2020). Detection of ripeness grades of berries using an electronic nose. Journal of Food Sciene & Nutrition, 8, 4919-1928.
- Asl Roosta, R., Moghaddasi, R., & Hosseini, S. S. (2017). Export target markets of medicinal and aromatic plants, Journal of Applied Research on Medicinal and Aromatic Plants, 7, 84-88. https://doi.org/10.1016/j.jarmap.2017.06.003
- Banal, J. E. P. L., Rañola, R. A. G., Santiago, K. S., & Sevilla, F. B. I. (2014). E-nose Based on Conducting Polymers for the Discrimination of Medicinal Plants. Applied Mechanics and Materials, 490-491, 1194-1198 https://doi.org/10.4028/www.scientific.net/amm.490-491.1194
- Gebicki, J., & Szulczynski, B. (2018). Discrimination of selected fungi species based on their odour profile using prototypes of E-nose instruments. Measurement, 116, 3017-313. https://doi.org/10.1016/j.measurement.2017.11.029
- Gorji-Chakespari, A., Nikbakht, A. M., Sefidkon, F., Ghasemi-Varnamkhasti, M., & Valero, E. L. (2017). Classification of essential oil composition in Rosa damascena genotypes using an E-nose. Journal of Applied Research on Medicinal and Aromatic Plants, 4, 27-34. https://doi.org/10.1016/j.jarmap.2016.07.004
- Guohua, H., Jiaojiao, J., Shanggui, D., Xiao, Y., Mengtian, Z., Minmin, W., & Dandan, Y. (2015). Winter jujube (Zizyphus jujuba) quality forecasting method based on E-nose. Food Chemistry, 170, 484-491. https://doi.org/10.1016/j.foodchem.2014.08.009
- Hawrył, M. A., Skalicka-Woźniak, K., Świeboda, R., Niemiec, M., Stępak, K., Waksmundzka-Hajnos, M., Hawrył, A., & Szymczak, G. (2015). GC-MS fingerprints of mint essential oils. Open Chemistry, 13(1), 1326-1332. https://doi.org/10.1515/chem-2015-0148
- Heidarbeigi, K., Mohtasebi, S. S., Foroughirad, A., Ghasemi-varnamkhasti, M., Rafiee, S., & Rezaei, K. (2015). Detection of adulteration in saffron samples using E-nose. International Journal of Food Properties, 18, 1391-1401. https://doi.org/10.1080/10942912.2014.915850
- Kaushal, S., Nayi, P., Rahadian, D., & Chen, H. H. (2022). Applications of E-nose Coupled with Statistical and Intelligent Pattern Recognition Techniques for Monitoring Tea Quality: A Review. Agriculture, 12, 1359. https://doi.org/10.3390/agriculture12091359
- Kiani, S., Minaei, S., & Ghasemi-Varnamhasti, M. (2018). Real-time aroma monitoring of mint (Mentha spicata) leaves during the drying process using E-nose system. Measurement, 124, 447-452. https://doi.org/10.1016/j.measurement.2018.03.033
- Li, Q., Yu, X., Xu, L., & Gao, J. (2017). Novel method for the producing area identification of zhongning Goji berries by E-nose. Food Chemistry, 221, 1113-1119. https://doi.org/10.1016/j.foodchem.2016.11.049
- Lin, H., Yonghong, Y., Zhao, T., Peng, L., Zou, H., Li, J., Yang, X., Xiong, Y., Wang, M., & Wu, H. (2013). Rapid discrimination of Apiaceae plants by E-nose coupled with multivariate statical analyses. Journal of Pharmaceutical and Biomedical Analysis, 84, 1-4. https://doi.org/10.1016/j.jpba.2013.05.027
- Lubbe, A., & Verpoorte, R. (2011). Cultivation of medicinal and aromatic plants for specialty industrial materials. Industrial Crops and Products, 34(1), 785-801. https://doi.org/10.1016/j.indcrop.2011.01.019
- Mahmodi, K., Mostafaei, M., & Mirzaee-Ghaleh, E. (2019). Detection and classification of diesel-biodiesel blends by LDA, QDA and SVM approaches using an E-nose. Fuel, 258. https://doi.org/10.1016/j.fuel.2019.116114
- Makarichian, A., Chayjan, R. A., Ahmadi, E., & Zafari, D. (2022). Early detection and classification of fungal infection in garlic (A. sativum) using electronic nose. Computers and Electronics in Agriculture, Available online 22 November 2021, 106575. https://doi.org/10.1016/j.compag.2021.106575
- Martín-Tornero, E., Sánchez, R., Lozano, J., Martínez, M., Arroyo, P., & Martín-Vertedor, D. (2021). Characterization of Polyphenol and Volatile Fractions of Californian-Style Black Olives and Innovative Application of E-nose for Acrylamide Determination. Foods, 10, 2973. https://doi.org/10.3390/foods10122973
- Nguyen, L., Duong, L. T., &Mentreddy, R. S. (2019). The U.S. import demand for spices and herbs by differentiated sources. Journal of Applied Research on Medicinal and Aromatic Plants, 12, 13-20. https://doi.org/10.1016/j.jarmap.2018.12.001
- Okur, S., Li, C., Zhang, Z., Vaidurya Pratap, S., Sarheed, M., Kanbar, A., Franke, L., Geislhöringer, F., Heinke, L., Lemmer, U., Nick, P., & Wöll, C. (2021a). Sniff Species: SURMOF-Based Sensor Array Discriminates Aromatic Plants beyond the Genus Level. Chemosensors, 9(7), 171. https://doi.org/10.3390/chemosensors9070171
- Okur, S., Sarheed, M., Huber, R., Zhang, Z., Heinke, L., Kanbar, A., Wöll, C., Nick, P., & Lemmer, U. (2021b). Identification of Mint Scents Using a QCM Based E-Nose. Chemosensors, 9(2), 31 https://doi.org/10.3390/chemosensors9020031
- Rafaela, S. A., Murilo, H. M. F., Luiza, A. M., & Daniel, S. C. (2022). E-nose based on hybrid free-standing nanofibrous mats for meat spoilage monitoring. Sensors and Actuators B: Chemical, 353, 131114, https://doi.org/10.1016/j.snb.2021.131114
- Rodrigues, N., Silva, K., Veloso, A. C. A., Pereira, J. A., & Peres, A. M. (2021). The Use of E-nose as Alternative Non-Destructive Technique to Discriminate Flavored and Unflavored Olive Oils. Foods, 10, 2886. https://doi.org/10.3390/foods10112886
- Tangpao, T., Charoimek, N., Teerakitchotikan, P., Leksawasdi, N., Jantanasakulwong, K., Rachtanapun, P., Seesuriyachan, P., Phimolsiripol, Y., Chaiyaso, T., Ruksiriwanich, W., Jantrawut, P., Van Doan, H., Cheewangkoon, R., & Sommano, S. R. (2022). Volatile Organic Compounds from Basil Essential Oils: Plant Taxonomy, Biological Activities, and Their Applications in Tropical Fruit Productions. Horticulturae, 8(2), 144. https://doi.org/10.3390/horticulturae8020144
- Zaki Dizaji, H., Adibzadeh, A., & Aghili Nategh, N. (2020). Application of E-nose technique to predict sugarcane syrup quality based on purity and refined sugar percentage. Journal of Food Science and Technology. https://doi.org/10.1007/s13197-020-04879-4
- Zhang, B, Huang, Y., Zhang, Q., Liu, X., Li, F., Chen, K. 2014. Fragrance discrimination of Chinese Cymbidium species and cultivars using an electronic nose. Scientia Horticuturae, 172, 271-277. https://doi.org/10.1016/j.scienta.2014.04.019
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