Sensomics - From conventional to functional NIR spectroscopy - Shining light over the aroma and taste of foods

被引:29
作者
Chapman, J. [1 ]
Elbourne, A. [1 ]
Vi Khanh Truong [1 ]
Newman, L. [1 ]
Gangadoo, S. [1 ]
Pathirannahalage, P. Rajapaksha [1 ]
Cheeseman, S. [1 ]
Cozzolino, D. [1 ]
机构
[1] RMIT Univ, Sch Sci, GPO Box 2476, Melbourne, Vic 3001, Australia
关键词
Taste; Aroma; Near infrared; Chemometrics; Conventional NIR; Functional spectroscopy; NEAR-INFRARED SPECTROSCOPY; SALIVARY HEMODYNAMIC-RESPONSES; GREEN ANALYTICAL-CHEMISTRY; SENSORY ATTRIBUTES; VOLATILE RELEASE; QUALITY; PREDICTION; PRODUCTS; PARAMETERS; RAW;
D O I
10.1016/j.tifs.2019.07.013
中图分类号
TS2 [食品工业];
学科分类号
0832 ;
摘要
The increasing desire to control quality in foods in real-time (e.g. on-line, at line, market) demands the development of innovative and easy to use analytical systems [e.g. a combination of sensors with multivariate data analysis (MVA)]. It has been long established that the ability to analyse complex chemical samples such as foods is now essential to achieve the consistent quality demanded by consumers, to ensure uniformity and consistency within a brand and even to avoid fraud, which can have direct implications when it comes to food integrity. It is well known that a broad range of factors (e.g. chemical, physical properties) contribute to the sensory characteristics of foods (e.g. smell, taste and colour) including the origin of raw materials and processing steps. In such complex matrices the use of sensor systems combined with MVA (chemometrics) is especially promising as tools for an encompassing analysis and understanding of these contributing factors. This article reviews recent applications of near infrared sensors (conventional and functional spectroscopy) for the measurement, monitoring and prediction of aroma and taste in several food matrices.
引用
收藏
页码:274 / 281
页数:8
相关论文
共 57 条
[1]   Taste characterization of orange using image processing combined with ANFIS [J].
Adelkhani, Ali ;
Beheshti, Babak ;
Minaei, Saeid ;
Javadikia, Payam ;
Ghasemi-Varnamkhasti, Mahdi .
MEASUREMENT, 2013, 46 (09) :3573-3580
[2]   Use of near-infrared spectroscopy in the investigation of brain activation during cognitive aging: A systematic review of an emerging area of research [J].
Agbangla, Nounagnon F. ;
Audiffren, Michel ;
Albinet, Cedric T. .
AGEING RESEARCH REVIEWS, 2017, 38 :52-66
[3]   Prediction of sensory characteristics of lamb meat samples by near infrared reflectance spectroscopy [J].
Andres, S. ;
Murray, I. ;
Navajas, E. A. ;
Fisher, A. V. ;
Lambe, N. R. ;
Bunger, L. .
MEAT SCIENCE, 2007, 76 (03) :509-516
[4]   Assessing wine sensory attributes using Vis/NIR [J].
Antonio Cayuela, Jose ;
Puertas, Belen ;
Cantos-Villar, Emma .
EUROPEAN FOOD RESEARCH AND TECHNOLOGY, 2017, 243 (06) :941-953
[5]   Association of Odor Thresholds and Responses in Cerebral Blood Flow of the Prefrontal Area during Olfactory Stimulation in Patients with Multiple Chemical Sensitivity [J].
Azuma, Kenichi ;
Uchiyama, Iwao ;
Tanigawa, Mari ;
Bamba, Ikuko ;
Azuma, Michiyo ;
Takano, Hirohisa ;
Yoshikawa, Toshikazu ;
Sakabe, Kou .
PLOS ONE, 2016, 11 (12)
[6]   Application of a voltammetric electronic tongue and near infrared spectroscopy for a rapid umami taste assessment [J].
Bagnasco, Lucia ;
Cosulich, M. Elisabetta ;
Speranza, Giovanna ;
Medini, Luca ;
Oliveri, Paolo ;
Lanteri, Silvia .
FOOD CHEMISTRY, 2014, 157 :421-428
[8]   Modelling of sensory and instrumental texture parameters in processed cheese by near infrared reflectance spectroscopy [J].
Blazquez, C ;
Downey, G ;
O'Callaghan, D ;
Howard, V ;
Delahunty, C ;
Sheehan, E ;
Everard, C ;
O'Donnell, CP .
JOURNAL OF DAIRY RESEARCH, 2006, 73 (01) :58-69
[9]   Contributions of Fourier-transform mid infrared (FT-MIR) spectroscopy to the study of fruit and vegetables: A review [J].
Bureau, Sylvie ;
Cozzolino, Daniel ;
Clark, Christopher J. .
POSTHARVEST BIOLOGY AND TECHNOLOGY, 2019, 148 :1-14
[10]   Relationship between sensory scores and near infrared absorptions in characterising Bitto, an Italian protected denomination of origin cheese [J].
Cattaneo, Tiziana M. P. ;
Tornelli, Cristina ;
Erini, Selene ;
Panarelli, Elena Veronica .
JOURNAL OF NEAR INFRARED SPECTROSCOPY, 2008, 16 (03) :173-178