Laser backscattering imaging as a non-destructive quality control technique for solid food matrices: Modelling the fibre enrichment effects on the physico-chemical and sensory properties of biscuits

[1]  S. Verdú,et al.  Non destructive monitoring of the yoghurt fermentation phase by an image analysis of laser-diffraction patterns: Characterization of cow's, goat's and sheep's milk. , 2019, Food chemistry.

[2]  Yong He,et al.  Prediction of banana color and firmness using a novel wavelengths selection method of hyperspectral imaging. , 2018, Food chemistry.

[3]  Seung-Chul Yoon,et al.  Rapid classification of intact chicken breast fillets by predicting principal component score of quality traits with visible/near-Infrared spectroscopy. , 2018, Food chemistry.

[4]  Xinting Yang,et al.  Developing a machine vision system for simultaneous prediction of freshness indicators based on tilapia (Oreochromis niloticus) pupil and gill color during storage at 4°C. , 2018, Food chemistry.

[5]  Paul J. Williams,et al.  Classification of white maize defects with multispectral imaging. , 2018, Food chemistry.

[6]  Gabriel A. Leiva-Valenzuela,et al.  Effect of formulation and baking conditions on the structure and development of non-enzymatic browning in biscuit models using images , 2018, Journal of Food Science and Technology.

[7]  J. Barat,et al.  Improving bread-making processing phases of fibre-rich formulas using chia (Salvia hispanica) seed flour , 2017 .

[8]  Esteban M. Fuentes,et al.  Influence of potential pulses amplitude sequence in a voltammetric electronic tongue (VET) applied to assess antioxidant capacity in aliso. , 2017, Food chemistry.

[9]  J. Barat,et al.  Effect of tiger-nut (Cyperus esculentus) milk co-product on the surface and diffusional properties of a wheat-based matrix. , 2017, Food chemistry.

[10]  Jiju Antony,et al.  Statistical process control readiness in the food industry: Development of a self-assessment tool , 2016 .

[11]  Efstathios Z. Panagou,et al.  Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines , 2016 .

[12]  Samuel Verdú,et al.  Detection of adulterations with different grains in wheat products based on the hyperspectral image technique: The specific cases of flour and bread , 2016 .

[13]  Yihua Wu,et al.  Association between dietary fiber intake and risk of coronary heart disease: A meta-analysis. , 2015, Clinical nutrition.

[14]  Jose Arturo Garza-Reyes,et al.  Towards a conceptual roadmap for Statistical Process Control implementation in the food industry , 2015 .

[15]  Douglas Fernandes Barbin,et al.  Prediction of chicken quality attributes by near infrared spectroscopy. , 2015, Food chemistry.

[16]  Marcus Nagle,et al.  Laser-based imaging system for non-invasive monitoring of quality changes of papaya during drying , 2014 .

[17]  K. Poutanen,et al.  Effect of wheat bran addition on in vitro starch digestibility, physico-mechanical and sensory properties of biscuits , 2014 .

[18]  Pietro Burrascano,et al.  On-line automatic detection of foreign bodies in biscuits by infrared thermography and image processing , 2014 .

[19]  A. Barca,et al.  Development and Evaluation of a Nutritionally Enhanced Multigrain Tortilla Snack , 2014, Plant Foods for Human Nutrition.

[20]  Quansheng Chen,et al.  Recent advances in emerging imaging techniques for non-destructive detection of food quality and safety , 2013 .

[21]  Mahmoud Omid,et al.  Analysis of texture-based features for predicting mechanical properties of horticultural products by laser light backscattering imaging , 2013 .

[22]  Y. Chang,et al.  Dietary fibre sources in frozen part-baked bread: Influence on technological quality , 2013 .

[23]  Manuela Zude,et al.  An approach for monitoring the chilling injury appearance in bananas by means of backscattering imaging , 2013 .

[24]  Marcus Nagle,et al.  Laser light backscattering to monitor moisture content, soluble solid content and hardness of apple tissue during drying , 2011 .

[25]  Emanuele Cerruto,et al.  Influence of colour changes and moisture content during banana drying on laser backscattering , 2010 .

[26]  Emmanuel Purlis,et al.  Modelling the browning of bread during baking , 2009 .

[27]  Pablo D. Ribotta,et al.  Influence of damaged starch on cookie and bread-making quality , 2007 .

[28]  B. Nicolai,et al.  Use of laser‐scattering imaging to study tomato‐fruit quality in relation to acoustic and compression measurements , 2000 .

[29]  Umezuruike Linus Opara,et al.  Non-destructive prediction of internal and external quality attributes of fruit with thick rind: A review , 2018 .

[30]  Marsyita Hanafi,et al.  Application and potential of backscattering imaging techniques in agricultural and food processing – A review , 2016 .

[31]  S. Nashat,et al.  Machine vision for crack inspection of biscuits featuring pyramid detection scheme , 2014 .

[32]  Atoosa Sadat Arabanian,et al.  Feasibility of near infrared spectroscopy for analysis of date fruits. , 2010 .