Drying Kinetics and Quality Characteristics of Indian Mackerel (Rastrelliger kanagurta) in Solar–Electrical Hybrid Dryer

鲭鱼 腌制 咸鱼 鱼干 食品科学 化学 渔业 生物
作者
S. Murali,K. Sathish Kumar,P.V. Alfiya,D.S. Aniesrani Delfiya,Manoj P. Samuel
出处
期刊:Journal of Aquatic Food Product Technology [Taylor & Francis]
卷期号:28 (5): 541-554 被引量:29
标识
DOI:10.1080/10498850.2019.1604597
摘要

The aim of the study was to investigate the drying kinetics and quality characteristics of Indian mackerel dried under solar–electrical hybrid dryer (S-EHD). Fresh Indian mackerel fishes (Rastrelliger kanagurta) were cleaned, cut into butterfly fillets, and salted overnight using a dry salting method (salt-to-fish ratio, 1:3). The salted mackerel was dried in a S-EHD at the air temperature of 45–55°C, relative humidity of 47–62%, and air velocity of 0.60–0.80 m/s. Open sun drying (OSD) of salted Indian mackerel was conducted to compare with S-EHD. The moisture content of the salted mackerel (61.5% w.b.) was reduced to 31.8% (w.b.) under S-EHD and 30.25% (w.b) under OSD in 8 and 32 h, respectively. The drying rate curve showed that mackerel drying occurred under falling-rate drying period in both the drying methods. A drying efficiency of 23.81% was observed for salted Indian mackerel drying under S-EHD. Diffusion approach and two-term models were selected to accurately predict the drying behavior of mackerel under S-EHD and OSD, respectively. Total volatile base nitrogen (TVB-N), trimethylamine, and thiobarbituric acid analysis of dried samples revealed that the mackerel dried under S-EHD was better than OSD. In the sensory analysis, samples dried under S-EHD recorded highest overall acceptability score.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
RTena.发布了新的文献求助10
1秒前
1秒前
2秒前
黄河浪发布了新的文献求助10
2秒前
2秒前
2秒前
2秒前
chen完成签到,获得积分10
3秒前
英俊的铭应助QQ采纳,获得10
3秒前
科研通AI6.4应助神秘玩家采纳,获得10
3秒前
黄饱饱发布了新的文献求助10
4秒前
行走De太阳花完成签到,获得积分10
4秒前
5秒前
JiaY发布了新的文献求助10
6秒前
6秒前
深情安青应助lx208946547采纳,获得10
9秒前
刘强东发布了新的文献求助10
9秒前
9秒前
10秒前
11秒前
1111发布了新的文献求助10
11秒前
12秒前
12秒前
完美世界应助徐华采纳,获得10
12秒前
lian发布了新的文献求助10
14秒前
科研通AI6.2应助xuwen采纳,获得10
15秒前
QQ发布了新的文献求助10
15秒前
15秒前
16秒前
hhdegf发布了新的文献求助10
16秒前
小蘑菇应助尊敬谷波采纳,获得10
17秒前
whoami发布了新的文献求助10
17秒前
17秒前
18秒前
直率萌发布了新的文献求助10
19秒前
妤鱼完成签到 ,获得积分10
20秒前
渣渣一个发布了新的文献求助10
21秒前
爱听歌的寄云完成签到 ,获得积分0
22秒前
呵呵哒完成签到 ,获得积分10
22秒前
忧郁友瑶发布了新的文献求助10
23秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6361561
求助须知:如何正确求助?哪些是违规求助? 8175365
关于积分的说明 17222114
捐赠科研通 5416374
什么是DOI,文献DOI怎么找? 2866311
邀请新用户注册赠送积分活动 1843570
关于科研通互助平台的介绍 1691450