安全“食”刻 | QSight LC-MSMS应对食品中氯酸盐和高氯酸盐含量的测定-医疗器械网

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安全“食”刻 | QSight LC-MSMS应对食品中氯酸盐和高氯酸盐含量的测定

来源：珀金埃尔默企业管理(上海)有限公司分类：应用方案 2024-02-22 17:45:08 14阅读次数

在当今食品行业的生产和检测中，氯酸盐和高氯酸盐是新型的具有高稳定性、高扩散性和持久性的污染物质，它们会影响机体的甲状腺正常功能，并可能在一定程度上造成血红细胞破坏和肝肾损伤。因此，食品中氯酸盐和高氯酸盐的测定对于保证人体健康具有重要意义。目前，国际国内都在积极开展相关研究，旨在深入了解这些污染物的来源、分布和影响，并寻求有效的控制和消除方法。

参考BJS 201706标准，采用了QSight系列液质联用系统，成功开发了一种快速高效的液相色谱-质谱联用检测方法，能够准确分析食品中氯酸盐和高氯酸盐的含量，为保障食品安全提供了有力支持。

图1 QSight系列液质联用系统

实验采用了如下图2，图3所述的 QSight 220?质谱参数

图2 质谱离子源参数

图3 化合物质谱参数

用醋酸铵甲醇溶液（20mM醋酸铵：甲醇=1:2）稀释混合标准工作溶液，考察了不同添加浓度下的重复性情况，选取不同低中高浓度重复分析8次，发现所得峰面积的RSD均在2% 以内，可以获得非常好的重现性。该仪器具有优异的灵敏度，检出限远远低于标准的要求，可以轻松满足日常检测的需求，同时可以得到出色的峰形。

图4 不同添加浓度的峰面积结果

的QSight系列三重四极杆液质联用系统具有HSID热表面诱导去溶剂的专利技术，使其具有优异的自清洁功能，应对该类复杂基质样品分析时，可以起到抗污染免维护的作用，大大节省了仪器的维护成本和人员工作效率的提升。

更多QSight LC-MSMS应对食品中氯酸盐和高氯酸盐含量测定的技术信息，扫码填写问卷，即可获取完整应用文献。

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[8]未定义数组索引: page
[2]Declaration of app\common\model\TechNewsCategory::getList($filter = Array) should be compatible with app\common\model\BaseModel::getList($filter = Array, $sort = Array)
[8]未定义数组下标: 0
[2]Declaration of app\common\model\TechNews::getAllList($filter = Array, $limit = 10, $order = Array, $with = Array) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[2]Declaration of app\common\model\Company::getAllList($filter = Array, $limit = 20) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[8]未定义数组索引: center
[8]Only variables should be passed by reference
[2]Declaration of app\common\model\TechNewsComment::getAllList($filter = Array, $limit = 16) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[8192]Function create_function() is deprecated
[8192]Function create_function() is deprecated
[8]未定义数组索引: area
[8]未定义数组索引: st
[2]Declaration of app\common\model\Topic::getList($filter = Array) should be compatible with app\common\model\BaseModel::getList($filter = Array, $sort = Array)
[2]Declaration of app\common\model\Topic::getAllList($filter = Array, $field = 'id,md5,tit...', $limit = 0) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[2]Declaration of app\common\model\TopicInfoList::getAllList($filter = Array, $limit = 8) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[2]Declaration of app\common\model\News::getAllList($filter = Array, $limit = 16, $order = Array, $with = Array) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[8]未定义数组索引: center
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: cid
[8]未定义数组索引: goods_list
[8]未定义数组下标: 0
[8]未定义数组索引: center
[8]未定义数组索引: center
[8]未定义数组索引: center
[8]未定义数组索引: center
[2]Declaration of app\common\model\Tag::getAllList($filter = Array, $with = Array, $limit = 5) should be compatible with app\common\model\BaseModel::getAllList($filter = Array, $with = Array, $limit = 0, $sort = Array, $field = 'a.*', $join = Array)
[2]Declaration of app\common\model\Tag::remove($filter) should be compatible with app\common\model\BaseModel::remove($filter = Array)
[8]未定义数组索引: center
[8]未定义数组索引: wtt_list

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[ SQL ] SHOW COLUMNS FROM `tech_news_category` [ RunTime:0.000976s ]
[ SQL ] SELECT `id`,`name` FROM `tech_news_category` WHERE `is_show` = 1 [ RunTime:0.000419s ]
[ SQL ] SELECT * FROM `tech_news_category` WHERE `parent_id` = 0 AND `is_show` = 1 ORDER BY `sort` ASC,`id` DESC [ RunTime:0.000196s ]
[ SQL ] SHOW COLUMNS FROM `company` [ RunTime:0.001041s ]
[ SQL ] SHOW COLUMNS FROM `tech_news` [ RunTime:0.000883s ]
[ SQL ] SELECT * FROM `tech_news` WHERE `md5` = '21a25db615c82b8b' AND `review_status` = 1 LIMIT 1 [ RunTime:0.000337s ]
[ SQL ] SHOW COLUMNS FROM `user_info` [ RunTime:0.000786s ]
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[ SQL ] SELECT * FROM `company` WHERE `id` = 434 [ RunTime:0.000216s ]
[ SQL ] SHOW COLUMNS FROM `tech_news_text` [ RunTime:0.000706s ]
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[ SQL ] SHOW COLUMNS FROM `tech_news_belong_category` [ RunTime:0.001125s ]
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[ SQL ] SELECT * FROM `tech_news_category` WHERE `id` IN (5) [ RunTime:0.000222s ]
[ SQL ] SHOW COLUMNS FROM `user_follow` [ RunTime:0.000898s ]
[ SQL ] SELECT `id` FROM `user_follow` WHERE `user_id` IS NULL AND `follow_user_id` = 316 LIMIT 1 [ RunTime:0.000227s ]
[ SQL ] SHOW COLUMNS FROM `tech_news_comment` [ RunTime:0.000952s ]
[ SQL ] SELECT * FROM `tech_news_comment` WHERE `tech_news_id` = 2476 AND `parent_id` = 0 ORDER BY `id` DESC [ RunTime:0.000257s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `tech_news_comment` WHERE `tech_news_id` = 2476 LIMIT 1 [ RunTime:0.000183s ]
[ SQL ] SELECT * FROM `tech_news` WHERE `is_show` = 1 AND `review_status` = 1 AND `id` IN (2476,3593,1663,2540,1152,2478,3944,3941,3927,3905) ORDER BY field(id,2476,3593,1663,2540,1152,2478,3944,3941,3927,3905) [ RunTime:0.000484s ]
[ SQL ] SELECT * FROM `user_info` WHERE `user_id` IN (316,197,651,156,785,473,250,203) [ RunTime:0.000768s ]
[ SQL ] SHOW COLUMNS FROM `topic` [ RunTime:0.000876s ]
[ SQL ] SELECT `id`,`md5`,`title`,`created_time` FROM `topic` WHERE `review_status` = 1 ORDER BY `id` DESC LIMIT 4 [ RunTime:0.000194s ]
[ SQL ] SHOW COLUMNS FROM `topic_info_list` [ RunTime:0.000727s ]
[ SQL ] SELECT * FROM `topic_info_list` WHERE `topic_id` = 1 ORDER BY `id` DESC LIMIT 2 [ RunTime:0.000185s ]
[ SQL ] SHOW COLUMNS FROM `news` [ RunTime:0.000751s ]
[ SQL ] SELECT * FROM `news` WHERE `id` IN (864,849) [ RunTime:0.000221s ]
[ SQL ] SELECT `id`,`md5`,`title`,`created_time` FROM `tech_news` WHERE `review_status` = 1 AND `is_show` = 1 ORDER BY `id` DESC LIMIT 10 [ RunTime:0.000190s ]
[ SQL ] SHOW COLUMNS FROM `user` [ RunTime:0.000722s ]
[ SQL ] SELECT `a`.* FROM `user` `a` INNER JOIN `tech_news` `b` ON `a`.`id`=`b`.`user_id` GROUP BY `a`.`id` ORDER BY `b`.`id` DESC LIMIT 10 [ RunTime:0.005523s ]
[ SQL ] SELECT * FROM `user_info` WHERE `user_id` IN (592,413,444,224,13,239,598,697,394,285) [ RunTime:0.000761s ]
[ SQL ] SHOW COLUMNS FROM `seo` [ RunTime:0.000792s ]
[ SQL ] SELECT * FROM `seo` WHERE `column_type` = '16' AND `page_type` = 'tech_news' AND `info_id` = 2476 LIMIT 1 [ RunTime:0.000212s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 2476 [ RunTime:0.000909s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 3593 [ RunTime:0.000919s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 1663 [ RunTime:0.000929s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 2540 [ RunTime:0.000868s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 1152 [ RunTime:0.000857s ]
[ SQL ] SHOW COLUMNS FROM `tag` [ RunTime:0.000815s ]
[ SQL ] SELECT `md5` FROM `tag` WHERE `is_open` = 1 AND `tag` = '超净工作台和生物安全柜的四大区别' LIMIT 1 [ RunTime:0.000206s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 2478 [ RunTime:0.000891s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 3944 [ RunTime:0.001261s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 3941 [ RunTime:0.000891s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 3927 [ RunTime:0.000897s ]
[ SQL ] SELECT * FROM `tech_news_belong_category` WHERE `tech_news_id` = 3905 [ RunTime:0.000876s ]
[ SQL ] SELECT * FROM `user` WHERE `id` = 316 LIMIT 1 [ RunTime:0.000162s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 592 LIMIT 1 [ RunTime:0.000187s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 592 LIMIT 1 [ RunTime:0.000136s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 413 LIMIT 1 [ RunTime:0.000128s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 413 LIMIT 1 [ RunTime:0.000131s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 444 LIMIT 1 [ RunTime:0.000129s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 444 LIMIT 1 [ RunTime:0.000131s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 224 LIMIT 1 [ RunTime:0.000128s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 224 LIMIT 1 [ RunTime:0.000122s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 13 LIMIT 1 [ RunTime:0.000128s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 13 LIMIT 1 [ RunTime:0.000121s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 239 LIMIT 1 [ RunTime:0.000127s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 239 LIMIT 1 [ RunTime:0.000120s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 598 LIMIT 1 [ RunTime:0.000117s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 598 LIMIT 1 [ RunTime:0.000124s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 697 LIMIT 1 [ RunTime:0.000119s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 697 LIMIT 1 [ RunTime:0.000128s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 394 LIMIT 1 [ RunTime:0.000126s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 394 LIMIT 1 [ RunTime:0.000119s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `follow_user_id` = 285 LIMIT 1 [ RunTime:0.000126s ]
[ SQL ] SELECT COUNT(*) AS tp_count FROM `user_follow` WHERE `user_id` = 285 LIMIT 1 [ RunTime:0.000117s ]

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