Contour Diagram‐Based Evaluation on Logistics Stability of Table Grapes under Variable Temperature

Abstract

Table grapes are inherently perishable and unstable, tending to deteriorate after harvest. The logistics stability of table grape that is closely related to product quality tends to decline. This paper proposed a contour diagram‐based graphical method in order to evaluate the logistics stability visually and easily under variable temperature. Firmness was selected as the indicator of table grape quality and shelf life prediction. Two kinds of experiments were designed to evaluate the proposed method by comparing with the kinetics method: one is isothermal experiment with five temperatures and the other is simulated variable temperature. The results suggest that both methods have the ability to evaluate the logistics stability at variable temperature, but the proposed method can provide a more accurate evaluation of logistics stability intuitively and conveniently. Furthermore, two prerequisite conditions are required for applying the proposed method, i.e., the time ratio for the equivalent logistics transformation at different temperatures must match in the kinetics theory and the primary state of the quality index should equal the initial state of the corresponding contour diagram. Practical Applications The proposed method could be applied to evaluate the logistics stability for any products and provide the cold chain management.

Grapevine quality: A multiple choice issue

“…As a consequence, the perception of quality may change in the marketing chain and among the types of consumers in the different countries. Therefore, sensory evaluation is a valid approach to measure consumer preference and satisfaction (Ma et al, 2016).…”

The time-temperature tolerance theory behind thermal kinetic models for shelf-life prediction of common foods

“…The TTT is too general to expose more information about the quality change (and only effect in frozen foods by now), while chemical kinetic model and bacterial model are too complicated to be applied and understand easily. For this reason, Ma et al (2016) derived contour diagram theory from the research of Kwolek & Bookwalter (1971) for the storage stability evaluation from 0-order or 1-order kinetic models which is similar with the theory of TTT, but the rules in their research cannot been broadened to the growth of bacteria at ambient temperature, such as Baranyi and Roberts model, Gompertz model etc. Therefore, in this paper, one common theorical basis for the of relationship between TTT with other models would be established and interpretated, for widening the use scope of TTT in non-frozen foods.…”

Diagnosing the service quality of perishable-food logistics: temperature-sensitive milk delivery

“…Cold-chain foods' quality relies on logistics stability, particularly with regard to temperature (Hsiao et al. , 2017; Ma et al. , 2016; Shashi et al.…”

“…Cold-chain foods' quality relies on logistics stability, particularly with regard to temperature (Hsiao et al, 2017;Ma et al, 2016;Shashi et al, 2018). As official interest in the traceability and quality of food products increases worldwide (Poniman et al, 2015;Thomas et al, 2017), rigorous controls and rolling checks on the temperatures in cold-chain food logistics systems have become commonplace (Chen and Schonfeld, 2017;Chen et al, 2018;Fikar, 2018;Ma et al, 2017).…”