已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

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) 被引量:4
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.

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
oldblack完成签到,获得积分10
1秒前
1秒前
萝卜干发布了新的文献求助10
1秒前
cube关注了科研通微信公众号
3秒前
自然秋柳发布了新的文献求助10
5秒前
journey发布了新的文献求助10
5秒前
ztt完成签到,获得积分10
6秒前
9秒前
zhouleiwang完成签到,获得积分10
14秒前
in2you发布了新的文献求助20
14秒前
15秒前
乐观生活发布了新的文献求助10
20秒前
20秒前
20秒前
21秒前
22秒前
sjw123发布了新的文献求助10
25秒前
llliu完成签到,获得积分20
25秒前
科研通AI6.4应助王文艺采纳,获得10
25秒前
moffy完成签到,获得积分10
26秒前
烟花应助月亮采纳,获得10
26秒前
qq完成签到 ,获得积分10
26秒前
嘟咕发布了新的文献求助10
26秒前
延皓发布了新的文献求助10
26秒前
qinqin发布了新的文献求助10
27秒前
28秒前
30秒前
刺猬完成签到,获得积分10
33秒前
Luna完成签到 ,获得积分10
33秒前
科目三应助cube采纳,获得10
33秒前
荡秋千的猴子完成签到,获得积分10
36秒前
sjw123完成签到,获得积分10
36秒前
珠珠发布了新的文献求助10
37秒前
邬尔槐发布了新的文献求助10
37秒前
月亮应助文件撤销了驳回
38秒前
长情道罡关注了科研通微信公众号
40秒前
俊哥发布了新的文献求助200
40秒前
张不大完成签到,获得积分10
40秒前
刘珍荣完成签到,获得积分10
43秒前
从容煎蛋完成签到 ,获得积分10
44秒前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(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
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
Erwählung und Berufung bei Paulus: Bedeutung, Entwicklung und Funktion einer Vorstellung in ihrem frühjüdischen und griechisch-römischen Kontext 850
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7198091
求助须知:如何正确求助?哪些是违规求助? 8833065
关于积分的说明 18647590
捐赠科研通 6837726
什么是DOI,文献DOI怎么找? 3177739
关于科研通互助平台的介绍 2332197
邀请新用户注册赠送积分活动 2152312