Insect odorant receptor-based biosensors: Current status and prospects

嗅觉系统 嗅觉 生物 嗅觉感受器 生物传感器 昆虫 计算生物学 神经科学 计算机科学 生态学 生物化学
作者
Jamal Ahmed Cheema,Colm Carraher,Natalie O. V. Plank,Jadranka Travaš‐Sejdić,Andrew V. Kralicek
出处
期刊:Biotechnology Advances [Elsevier BV]
卷期号:53: 107840-107840 被引量:39
标识
DOI:10.1016/j.biotechadv.2021.107840
摘要

Whilst the senses of vision and hearing have been successfully automated and miniaturized in portable formats (e.g. smart phone), this is yet to be achieved with the sense of smell. This is because the sensing challenge is not trivial as it involves navigating a chemosensory space comprising thousands of volatile organic compounds. Distinct aroma recognition is based on detecting unique combinations of volatile organic compounds. In natural olfactory systems this is accomplished by employing odorant receptors (ORs) with varying specificities, together with combinatorial neural coding mechanisms. Attempts to mimic the remarkable sensitivity and accuracy of natural olfactory systems has therefore been challenging. Current portable chemical sensors for odorant detection are neither sensitive nor selective, prompting research exploring artificial olfactory devices that use natural OR proteins for sensing. Much research activity to develop OR based biosensors has concentrated on mammalian ORs, however, insect ORs have not been explored as extensively. Insects possess an extraordinary sense of smell due to a repertoire of odorant receptors evolved to interpret olfactory cues vital to the insects' survival. The potential of insect ORs as sensing elements is only now being unlocked through recent research efforts to understand their structure, ligand binding mechanisms and development of odorant biosensors. Like their mammalian counterparts, there are many challenges with working with insect ORs. These include expression, purification and presentation of the insect OR in a stable display format compatible with an effective transduction methodology while maintaining OR structure and function. Despite these challenges, significant progress has been demonstrated in developing OR-based biosensors which exploit insect ORs in cells, lipid bilayers, liposomes and nanodisc formats. Ultrasensitive and highly selective detection of volatile organic compounds has been validated by coupling these insect OR display formats with transduction methodologies spanning optical (fluorescence) and electrical (field effect transistors, electrochemical impedance spectroscopy) techniques. This review summarizes the current status of insect OR based biosensors and their future outlook.
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
山猫发布了新的文献求助10
1秒前
1秒前
3秒前
3秒前
曾经山兰完成签到,获得积分10
3秒前
852应助LMZ采纳,获得30
5秒前
研友_VZG7GZ应助老朱采纳,获得10
6秒前
hua发布了新的文献求助10
6秒前
6秒前
rrrr发布了新的文献求助10
7秒前
默默完成签到 ,获得积分10
8秒前
aajhajkahna应助as采纳,获得10
8秒前
Longfenzhong发布了新的文献求助10
9秒前
mt1314发布了新的文献求助10
11秒前
李爱国应助Luyz采纳,获得10
12秒前
迷路又菱完成签到,获得积分10
12秒前
金鑫发布了新的文献求助10
13秒前
小姜完成签到,获得积分10
14秒前
YKT完成签到,获得积分10
14秒前
丹D发布了新的文献求助10
15秒前
方既白完成签到,获得积分10
17秒前
17秒前
机灵的忆梅完成签到 ,获得积分0
17秒前
18秒前
科研通AI6.2应助hdc12138采纳,获得10
19秒前
20秒前
负责元瑶完成签到,获得积分10
20秒前
文静冰露发布了新的文献求助10
21秒前
123567完成签到 ,获得积分10
21秒前
jiluowen完成签到,获得积分10
22秒前
山猫完成签到,获得积分10
22秒前
七听给kento的求助进行了留言
23秒前
Letitia完成签到,获得积分10
24秒前
24秒前
雪媚娘完成签到,获得积分10
24秒前
25秒前
26秒前
望十五月发布了新的文献求助10
26秒前
斯文败类应助小鱼儿采纳,获得10
26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
Reducing Compassion Fatigue, Secondary Traumatic Stress and Burnout 600
Comparative Elite Sport Development Systems, Structures and Public Policy 600
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Auslegungsgeschichte 500
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 500
What is the Future of Psychotherapy in Digital Age? Technology, AI Bots, and Psychotherapy after Covid 444
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 7637743
求助须知:如何正确求助?哪些是违规求助? 9211300
关于积分的说明 19758409
捐赠科研通 7204937
什么是DOI,文献DOI怎么找? 3275767
关于科研通互助平台的介绍 2437385
邀请新用户注册赠送积分活动 2272928