Design of a Portable Electronic Nose for Identification of Minced Chicken Meat Adulterated With Soybean Protein Isolate

电子鼻 食品科学 鉴定(生物学) 化学 生物 植物 神经科学
作者
Min Zhou,Chunxia Dai,Joshua Harrington Aheto,Xiaorui Zhang
出处
期刊:Journal of Food Safety [Wiley]
卷期号:44 (5)
标识
DOI:10.1111/jfs.13163
摘要

ABSTRACT The study aimed to develop a portable electronic nose system for detecting adulteration with soybean protein isolate (SPI) in chicken meat. The system mainly consisted of three parts: the gas sensor array, the DSP28335 control board, and the upper computer. The DSP28335 control board, developed using C language, included analog to digital converter (ADC) module, digital output (DO) module, pulse width modulation (PWM) module, controller area network (CAN) module, power module, drive circuit, and so forth. The upper computer, developed using LabVIEW, facilitated user interaction with the user by primarily handling CAN configuration and monitoring, displaying and storing sensor data, temperature and flow data, and sending and monitoring electronic nose commands. The feasibility of the proposed electronic nose for characterizing adulterated chicken meat was tested on six classes of chicken meat that had been adulterated with varied quantities of SPI. The mass fractions of SPI were 0%, 5%, 10%, 15%, 20%, and 25%, respectively. On the basis of odor data from the electronic nose, K‐nearest neighbor (KNN), linear discriminant analysis (LDA), and support vector machine (SVM) were applied to qualitatively distinguish minced chicken meat with different adulteration ratios. The results showed that the SVM model had the best recognition effect. When the best parameters ( c , g ) were c = 16 and g = 1, the accuracy of SVM model was 97.22% and 93.75% in the training and testing sets, respectively. These results demonstrated that the portable electronic nose designed in this paper effectively identifies minced chicken meat under various adulteration conditions, enabling rapid and nondestructive detection of chicken meat adulteration.
最长约 10秒,即可获得该文献文件

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
刚刚
科研通AI5应助夏末采纳,获得30
刚刚
1秒前
3秒前
炙热南露发布了新的文献求助30
3秒前
4秒前
默默冷松完成签到,获得积分10
4秒前
刘成奥发布了新的文献求助10
4秒前
小M完成签到,获得积分10
4秒前
量子星尘发布了新的文献求助10
5秒前
5秒前
早睡早起完成签到 ,获得积分10
6秒前
呱呱完成签到 ,获得积分10
6秒前
6秒前
nanashi完成签到 ,获得积分10
6秒前
Damon发布了新的文献求助10
6秒前
666完成签到,获得积分10
7秒前
7秒前
7秒前
笨笨的从寒完成签到,获得积分20
7秒前
xiaohu发布了新的文献求助10
8秒前
青黛发布了新的文献求助10
8秒前
岁岁菌完成签到,获得积分10
9秒前
安陌煜完成签到,获得积分10
10秒前
10秒前
10秒前
666发布了新的文献求助10
10秒前
海光发布了新的文献求助10
10秒前
10秒前
鲤鱼灵阳完成签到,获得积分10
11秒前
11秒前
12秒前
12秒前
12秒前
简简单单发布了新的文献求助10
12秒前
12秒前
12秒前
华仔应助tongbuxiang采纳,获得10
13秒前
真正的man完成签到,获得积分10
13秒前
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Neuromuscular and Electrodiagnostic Medicine Board Review 1000
こんなに痛いのにどうして「なんでもない」と医者にいわれてしまうのでしょうか 510
The First Nuclear Era: The Life and Times of a Technological Fixer 500
ALUMINUM STANDARDS AND DATA 500
Walter Gilbert: Selected Works 500
岡本唐貴自伝的回想画集 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3667657
求助须知:如何正确求助?哪些是违规求助? 3226188
关于积分的说明 9768281
捐赠科研通 2936167
什么是DOI,文献DOI怎么找? 1608152
邀请新用户注册赠送积分活动 759520
科研通“疑难数据库(出版商)”最低求助积分说明 735404