A non-destructive detection method for evaluating beef taste quality based on electrochemical PVC membrane sensor. (15th January 2022)
- Record Type:
- Journal Article
- Title:
- A non-destructive detection method for evaluating beef taste quality based on electrochemical PVC membrane sensor. (15th January 2022)
- Main Title:
- A non-destructive detection method for evaluating beef taste quality based on electrochemical PVC membrane sensor
- Authors:
- Wang, Xiaodan
Hu, Feng
Jin, Jiahui
Huang, Yue
Zhu, Xianming
Dong, Yanli
Wang, Cuilian
Wu, Duo - Abstract:
- Abstract: A polyvinyl chloride (PVC) membrane sensor was developed to accurately detect beef taste quality grades. The beef taste was identified by the Fisher discriminant and verified by sensory evaluation. The PVC membrane sensor with the maximum open circuit potential (OCP) value and excellent performance was composed of 0.4 mL of dibutyl phthalate (DBP), 0.25 mL of lauryl ether phosphate, 3.6 mg of magnesium stearate and 6 mg of thermoplastic polyurethanes (TPU). Texture analyzer tests showed that the membranes showed desired physical properties, and the elasticity, viscosity and cohesion of the PVC membrane sensor were 4.74 mm, 2.17 mJ and 1.89 respectively. Scanning electron microscopy (SEM) showed the electrode immersed for 6 h without separation with PVC membrane. The coefficient of variation was less than 10% with a storage period of 7 months. Sensory evaluation showed that the beef sensory rated grades array determination by the Fisher discriminant method to verify the sensitivity of ammonia-sensitive substance-modified PVC membrane sensor had an accuracy of 93.3%. Highlights: Developed a new type of solid and corrosion resistant PVC membrane sensor. The data response of the PVC membrane sensor to measure beef taste is more pronounced and accurate. The accuracy of the new PVC membrane sensor for classifying beef is 94.4%. It is a nondestructive detection method for evaluating beef taste quality.
- Is Part Of:
- Lebensmittel-Wissenschaft + Technologie =. Volume 154(2022)
- Journal:
- Lebensmittel-Wissenschaft + Technologie =
- Issue:
- Volume 154(2022)
- Issue Display:
- Volume 154, Issue 2022 (2022)
- Year:
- 2022
- Volume:
- 154
- Issue:
- 2022
- Issue Sort Value:
- 2022-0154-2022-0000
- Page Start:
- Page End:
- Publication Date:
- 2022-01-15
- Subjects:
- Beef taste quality -- Nondestructive -- Membrane sensor -- Detection method -- Sensory evaluation
Food industry and trade -- Periodicals
Food -- Composition -- Periodicals
Microbiology -- Periodicals
Nutrition -- Periodicals
664.005 - Journal URLs:
- http://www.sciencedirect.com/science/journal/00236438 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.lwt.2021.112666 ↗
- Languages:
- English
- ISSNs:
- 0023-6438
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3983.070000
British Library DSC - BLDSS-3PM
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