我国研发新技术:只需10微升血液可检测人体重金属含量

2019-07-15 徐海涛 新华网

环境污染可导致汞、铅、镉、砷等重金属在人体中积累,造成慢性中毒。近期,中科院合肥智能机械研究所黄行九研究员课题组研发出一种新技术,只需约10微升血液即可快速、精确地检测出其中的重金属离子含量,将所需血量降为传统技术的二百分之一,对减少病人痛苦、提高检测的选择性和准确性具有重要意义。国际微纳材料器件领域著名学术期刊《Small》日前发表了该成果。血液检测能够反映出众多生化指标的正常与否,对人体健康有

环境污染可导致汞、铅、镉、砷等重金属在人体中积累,造成慢性中毒。近期,中科院合肥智能机械研究所黄行九研究员课题组研发出一种新技术,只需约10微升血液即可快速、精确地检测出其中的重金属离子含量,将所需血量降为传统技术的二百分之一,对减少病人痛苦、提高检测的选择性和准确性具有重要意义。国际微纳材料器件领域著名学术期刊《Small》日前发表了该成果。

血液检测能够反映出众多生化指标的正常与否,对人体健康有重要意义,但通常需要采集不少的血液样品。以检测血液中的重金属离子为例,传统的原子吸收法至少需要2毫升血,且操作复杂、成本高昂。

近期,黄行九研究员课题组创新性的将场效应管芯片技术应用于该领域,设计出一种新型芯片。他们通过仿真模拟技术和相关理论,对芯片沟道材料的不同“组装排列方向”与性能的关系进行了精确分析,还为该芯片装备了分子探针,最终实现了“超灵敏”检测。实验显示,这种芯片在检测血液中的汞离子含量时,最小可检测水平可达到10纳摩尔每升,且检测响应速度小于1秒。

“也就是说,大约只需要10微升血液,就可以快速检测出它的汞离子含量是否超标,这个血量是传统技术的二百分之一。”研究论文的第一作者、博士生李遗祥介绍,将这种新技术与微机电系统等技术结合,有望构筑出可检测血液中多种生化指标的芯片,在检测领域具有广阔的应用前景。不仅可用于血液检测,还可用于其他种类的生物检测以及食品检测等。

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    2020-11-18 尹玉伟

    论文带鞋需要的联系

    0

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    2020-03-25 saikp
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    2019-07-17 lqvr
  5. [GetPortalCommentsPageByObjectIdResponse(id=900124, encodeId=d7e6900124f0, content=论文带鞋需要的联系, beContent=null, objectType=article, channel=null, level=null, likeNumber=55, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/ajNVdqHZLLCSvgHPvuQp0g9YLQuk8Dv2tO2J8cA1nBOPWOR46Rv1IMw309iaVI4zibSE52MibbXtA54h46besGYv6vpQfsUHpY9TaCKOVRmm2A/0, createdBy=14511949364, createdName=尹玉伟, createdTime=Wed Nov 18 10:33:24 CST 2020, time=2020-11-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1903836, encodeId=035519038367d, content=<a href='/topic/show?id=be285836438' target=_blank style='color:#2F92EE;'>#新技术#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=36, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=58364, encryptionId=be285836438, topicName=新技术)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d39f177, createdName=lixiao3326, createdTime=Sat Jan 11 19:11:00 CST 2020, time=2020-01-11, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1632727, encodeId=5f2c1632e277c, content=<a href='/topic/show?id=3abc9608860' target=_blank style='color:#2F92EE;'>#重金属#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=42, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=96088, encryptionId=3abc9608860, topicName=重金属)], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=57ad21942625, createdName=saikp, createdTime=Wed Mar 25 07:11:00 CST 2020, time=2020-03-25, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1300289, encodeId=7a391300289b6, content=<a href='/topic/show?id=ed5ee332423' target=_blank style='color:#2F92EE;'>#研发#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=31, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=73324, encryptionId=ed5ee332423, topicName=研发)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=aea0290, createdName=lqvr, createdTime=Wed Jul 17 14:11:00 CST 2019, time=2019-07-17, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369757, encodeId=d0a0369e5740, content=学习了, beContent=null, objectType=article, channel=null, level=null, likeNumber=56, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1bb241978, createdName=phoebeyan520, createdTime=Tue Jul 16 09:23:49 CST 2019, time=2019-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369740, encodeId=88e0369e404b, content=谢谢了,学习, beContent=null, objectType=article, channel=null, level=null, likeNumber=59, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=30331616752, createdName=txqjm, createdTime=Tue Jul 16 06:57:35 CST 2019, time=2019-07-16, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=369732, encodeId=aaca369e32b3, content=学习了很有用不错, beContent=null, objectType=article, channel=null, level=null, likeNumber=58, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://wx.qlogo.cn/mmopen/oLAjfB7s1ib3IzoRn621JdKCFUI4XvNELcibocrAVU6aUzEVDSaf3rYH08PUYUiagGqxAEhj8g9WqqNvD1CupIpCrmnR2OrqHZh/0, createdBy=7f181365728, createdName=飛歌, createdTime=Tue Jul 16 01:21:46 CST 2019, time=2019-07-16, status=1, ipAttribution=)]
    2019-07-16 phoebeyan520

    学习了

    0

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    2019-07-16 txqjm

    谢谢了,学习

    0

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    2019-07-16 飛歌

    学习了很有用不错

    0

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