Araştırma Makalesi
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Yıl 2024, Cilt: 7 Sayı: 15, 633 - 643, 29.12.2024

Öz

Kaynakça

  • Sahin S, Sumnu SG. Physical properties of foods. Springer Science & Business Media; 2006 May 24.
  • Leon K, Mery D, Pedreschi F, Leon J. Color measurement in L∗ a∗ b∗ units from RGB digital images. Food research international. 2006 Dec 1;39(10):1084-91.
  • Keskin M, Setlek P, Demir S. Use of color measurement systems in food science and agriculture. InInternational advanced researches & engineering congress 2017 Nov 16 (pp. 16-18).
  • Rateni G, Dario P, Cavallo F. Smartphone-based food diagnostic technologies: A review. Sensors. 2017 Jun 20;17(6):1453.
  • Ma T, Wang H, Wei M, Lan T, Wang J, Bao S, Ge Q, Fang Y, Sun X. Application of smart-phone use in rapid food detection, food traceability systems, and personalized diet guidance, making our diet more health. Food Research International. 2022 Feb 1;152:110918.
  • Gopal J, Muthu M. Handheld portable analytics for food fraud detection, the evolution of next-generation smartphone-based food sensors: The journey, the milestones, the challenges debarring the destination. TrAC Trends in Analytical Chemistry. 2023 Dec 27:117504.
  • Nelis JL, Tsagkaris AS, Dillon MJ, Hajslova J, Elliott CT. Smartphone-based optical assays in the food safety field. TrAC Trends in Analytical Chemistry. 2020 Aug 1;129:115934.
  • Yang T, Luo Z, Bewal T, Li L, Xu Y, Jafari SM, Lin X. When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chemistry. 2022 Nov 15;394:133534.
  • Upadhyay S, Kumar A, Srivastava M, Srivastava A, Dwivedi A, Singh RK, Srivastava SK. Recent advancements of smartphone-based sensing technology for diagnosis, food safety analysis, and environmental monitoring. Talanta. 2024 Apr 10:126080.
  • Kalinowska K, Wojnowski W, Tobiszewski M. Smartphones as tools for equitable food quality assessment. Trends in Food Science & Technology. 2021 May 1;111:271-9.
  • Franca AS, Oliveira LS. Applications of smartphones in food analysis. InSmartphone-Based Detection Devices 2021 Jan 1 (pp. 249-268). Elsevier.
  • Lu Y, Shi Z, Liu Q. Smartphone-based biosensors for portable food evaluation. Current Opinion in Food Science. 2019 Aug 1;28:74-81.
  • Song W, Jiang N, Wang H, Vincent J. Use of smartphone videos and pattern recognition for food authentication. Sensors and Actuators B: Chemical. 2020 Feb 1;304:127247.
  • Baş D. Sensitive and reliable paper-based glucose sensing mechanisms with smartphone readout using the L* a* b* color space. Analytical Methods. 2017;9(47):6698-704.
  • Baş D, Özgen S. Gıda Analizlerinde Akıllı Telefon ile Renk Ölçümü: Spektrofotometrik Ölçüme Kolay ve Düşük-Maliyetli Bir Alternatif. Ankara/Turkey. 2022 May 7:112.
  • Briones V, Aguilera JM, Brown C. Effect of surface topography on color and gloss of chocolate samples. Journal of food engineering. 2006 Dec 1;77(4):776-83.
  • Dinçel E. Kakao Yağı Enkapsülasyonunun Çikolatada Yağ Kusmasına Etkisinin İncelenmesi (Doctoral dissertation, İSTANBUL AYDIN ÜNİVERSİTESİ FEN BİLİMLERİ ENSTİTÜSÜ).

COLOR MEASUREMENT CAPABILITY OF SMARTPHONES: ANALYSIS OF CHOCOLATE COLOR

Yıl 2024, Cilt: 7 Sayı: 15, 633 - 643, 29.12.2024

Öz

Color measurement of foods can be made with many techniques, both sensory and instrumental. With the developing technology, fast and low-cost innovative techniques are getting more attention. In this study, color analysis made through smart phone application compared with the colorimetric method. In this context, the color differences of chocolates with various cocoa solids ratios were calculated. Taking advantage of the accessibility and user friendliness of smartphones, images were taken from the sample surface in a regular illuminated home/office environment. Photos taken from the phone gallery were measured with the Color Grab (Loomatix) application. Correlations of L*a*b* color values obtained in CIE Lab space system were calculated. These values were also used to calculate the Total Color Difference (ΔE) and Whiteness Index (WI). As a result, it has been observed that the color of chocolate, which is considered as a food sample in the study, can be measured with a smart phone application, which is a faster and less costly method. It is predicted that smart phone application can be used as a very practical tool in the measurement of food quality due to its updateability, ability to storage and shareability of measurement information on smartphones.

Kaynakça

  • Sahin S, Sumnu SG. Physical properties of foods. Springer Science & Business Media; 2006 May 24.
  • Leon K, Mery D, Pedreschi F, Leon J. Color measurement in L∗ a∗ b∗ units from RGB digital images. Food research international. 2006 Dec 1;39(10):1084-91.
  • Keskin M, Setlek P, Demir S. Use of color measurement systems in food science and agriculture. InInternational advanced researches & engineering congress 2017 Nov 16 (pp. 16-18).
  • Rateni G, Dario P, Cavallo F. Smartphone-based food diagnostic technologies: A review. Sensors. 2017 Jun 20;17(6):1453.
  • Ma T, Wang H, Wei M, Lan T, Wang J, Bao S, Ge Q, Fang Y, Sun X. Application of smart-phone use in rapid food detection, food traceability systems, and personalized diet guidance, making our diet more health. Food Research International. 2022 Feb 1;152:110918.
  • Gopal J, Muthu M. Handheld portable analytics for food fraud detection, the evolution of next-generation smartphone-based food sensors: The journey, the milestones, the challenges debarring the destination. TrAC Trends in Analytical Chemistry. 2023 Dec 27:117504.
  • Nelis JL, Tsagkaris AS, Dillon MJ, Hajslova J, Elliott CT. Smartphone-based optical assays in the food safety field. TrAC Trends in Analytical Chemistry. 2020 Aug 1;129:115934.
  • Yang T, Luo Z, Bewal T, Li L, Xu Y, Jafari SM, Lin X. When smartphone enters food safety: A review in on-site analysis for foodborne pathogens using smartphone-assisted biosensors. Food Chemistry. 2022 Nov 15;394:133534.
  • Upadhyay S, Kumar A, Srivastava M, Srivastava A, Dwivedi A, Singh RK, Srivastava SK. Recent advancements of smartphone-based sensing technology for diagnosis, food safety analysis, and environmental monitoring. Talanta. 2024 Apr 10:126080.
  • Kalinowska K, Wojnowski W, Tobiszewski M. Smartphones as tools for equitable food quality assessment. Trends in Food Science & Technology. 2021 May 1;111:271-9.
  • Franca AS, Oliveira LS. Applications of smartphones in food analysis. InSmartphone-Based Detection Devices 2021 Jan 1 (pp. 249-268). Elsevier.
  • Lu Y, Shi Z, Liu Q. Smartphone-based biosensors for portable food evaluation. Current Opinion in Food Science. 2019 Aug 1;28:74-81.
  • Song W, Jiang N, Wang H, Vincent J. Use of smartphone videos and pattern recognition for food authentication. Sensors and Actuators B: Chemical. 2020 Feb 1;304:127247.
  • Baş D. Sensitive and reliable paper-based glucose sensing mechanisms with smartphone readout using the L* a* b* color space. Analytical Methods. 2017;9(47):6698-704.
  • Baş D, Özgen S. Gıda Analizlerinde Akıllı Telefon ile Renk Ölçümü: Spektrofotometrik Ölçüme Kolay ve Düşük-Maliyetli Bir Alternatif. Ankara/Turkey. 2022 May 7:112.
  • Briones V, Aguilera JM, Brown C. Effect of surface topography on color and gloss of chocolate samples. Journal of food engineering. 2006 Dec 1;77(4):776-83.
  • Dinçel E. Kakao Yağı Enkapsülasyonunun Çikolatada Yağ Kusmasına Etkisinin İncelenmesi (Doctoral dissertation, İSTANBUL AYDIN ÜNİVERSİTESİ FEN BİLİMLERİ ENSTİTÜSÜ).
Toplam 17 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Gıda Teknolojileri
Bölüm Food Health and Technology Innovations
Yazarlar

Betül Arslan Bu kişi benim

Deniz Baş

Yayımlanma Tarihi 29 Aralık 2024
Gönderilme Tarihi 2 Aralık 2024
Kabul Tarihi 10 Aralık 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 15

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