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Batter Characteristics and Oil Penetration of Deep-Fried Breaded Fish Nuggets: Effect of Wheat Starch—Gluten Interaction. J FOOD QUALITY 2022. [DOI: 10.1155/2022/2810432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
To understand the effect of the interaction between wheat starch (
) and wheat gluten (
) on batter characteristics and oil penetration of deep-fried breaded fish nuggets, batters were prepared using a
and
blend at the ratios of 15 : 1, 13 : 1, 11 : 1, 9 : 1, and 7 : 1
, respectively, and batter-breaded fish nuggets (BBFNs) were fried at 170°C for 40 s followed by 190°C for 30 s. Moisture adsorption isotherms of
and
, viscosity, rheological behavior, and calorimetric properties of the batters were measured, and pick-up of BBFNs, thermogravimetric properties of the crust, and oil transport were investigated. The moisture absorption capacity of
was higher than
at a low water activity (0.04–0.65), while the opposite trend was observed at a highwater activity (0.65–0.88). As the proportion of
decreased, the viscosity,
and tan δ of batter, pick-up of BBFNs, temperature and enthalpy change (ΔH) of protein denaturation and
gelatinization, and oil penetration of BBFNs during deep-fat frying, which are decreased until reaching a minimum value at the ratio of 11 : 1
, then increased (
). However, G' of batter and thermogravimetry temperatures of crust exhibited the opposite trend. These results proved that the
–
interaction significantly affected the batter characteristics and oil penetration of BBFNs during deep-fat frying, which can be used to guide the manufacturing of low-fat fried BBFNs.
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Huauzontle (Chenopodium nuttalliae Saff.) protein: Composition, structure, physicochemical and functional properties. Food Hydrocoll 2020. [DOI: 10.1016/j.foodhyd.2020.106043] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
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Ge Y, Zhao S, Zhao X. A step-by-step classification algorithm of protein secondary structures based on double-layer SVM model. Genomics 2020; 112:1941-1946. [DOI: 10.1016/j.ygeno.2019.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2019] [Revised: 10/15/2019] [Accepted: 11/11/2019] [Indexed: 11/26/2022]
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