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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
3秒前
4秒前
7秒前
叶y发布了新的文献求助10
9秒前
10秒前
cxm666发布了新的文献求助10
11秒前
彩色靖儿完成签到 ,获得积分10
12秒前
田様应助JULY采纳,获得10
13秒前
13秒前
llly完成签到,获得积分10
13秒前
qijia发布了新的文献求助30
13秒前
Steven发布了新的文献求助10
14秒前
Akim应助echo采纳,获得10
14秒前
yydragen应助echo采纳,获得10
14秒前
充电宝应助echo采纳,获得10
14秒前
ding应助echo采纳,获得10
14秒前
香蕉觅云应助123采纳,获得10
14秒前
郭文汇发布了新的文献求助50
16秒前
roclie发布了新的文献求助10
18秒前
May应助bianlllll采纳,获得20
18秒前
自渡完成签到 ,获得积分10
18秒前
SciGPT应助浪吃采纳,获得10
23秒前
风筝与亭完成签到 ,获得积分10
25秒前
hecheng完成签到,获得积分10
25秒前
28秒前
niulugai完成签到,获得积分10
30秒前
30秒前
在水一方应助科研通管家采纳,获得10
32秒前
闪闪山水应助科研通管家采纳,获得10
32秒前
ED应助科研通管家采纳,获得10
33秒前
小马甲应助科研通管家采纳,获得20
33秒前
33秒前
闪闪山水应助科研通管家采纳,获得10
33秒前
东山小红应助科研通管家采纳,获得10
33秒前
35秒前
量子星尘发布了新的文献求助10
36秒前
37秒前
欣慰的舞仙完成签到,获得积分10
37秒前
希望天下0贩的0应助夏夏采纳,获得10
39秒前
40秒前
高分求助中
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
A new approach to the extrapolation of accelerated life test data 1000
Cognitive Neuroscience: The Biology of the Mind 1000
Cognitive Neuroscience: The Biology of the Mind (Sixth Edition) 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
Christian Women in Chinese Society: The Anglican Story 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3961022
求助须知:如何正确求助?哪些是违规求助? 3507251
关于积分的说明 11134887
捐赠科研通 3239661
什么是DOI,文献DOI怎么找? 1790309
邀请新用户注册赠送积分活动 872341
科研通“疑难数据库(出版商)”最低求助积分说明 803150