堆叠式摇床

[url=https://www.ldteq.com/brand/91.html]AirBorn[/url][size=14px] 可堆叠兼容连接器系列专为高密度板对板堆叠应用而设计，触点间距为 0.075 英寸,接触间距和100 Ω和85 Ω差分串行总线。与传统主板到子卡相比，减少空间，减少连接器数量，并将电路路径缩短 50%。AirBorn提供快速周转服务，可根据您的具体要求有选择地加载每个触点位置。[/size][align=center][size=14px][img=AirBorn RC可堆叠连接器,332,248]https://www.ldteq.com/public/ueditor/upload/image/20240119/1705646972418988.png[/img][/size][/align][b][size=14px]特征：[/size][/b] 0.075“ 触点间距 4 行 28–200 个触点 压接端接 塑料机身材料 多种标准引脚/尾部长度，可适应任何板对板间距 可靠的“针眼”兼容型材设计，无需焊接 铍铜触头 非常坚固、低应力的插座触点设计 可单独维修的触点[size=14px][/size]更多相关产品信息请访问立维创展ldteq.com[b]选型：[/b]RC4C2RC422RC442RC4B2

这种[url=http://www.f-lab.cn/shaking-incubators/lom3.html][b]堆叠式振荡摇床培养箱[/b][/url]是三台振荡摇床培养箱上下堆叠而成的摇床振荡培养箱,非常节省空间,[color=#333333]而且震荡幅度Ø 1-50mm可调,是一种温度可控的[/color]恒温培养箱[color=#333333]和摇床振荡培养箱相结合的生化仪器。[b]堆叠式振荡摇床培养箱[/b]主要适用于各大中院校、医疗、石油化工、卫生防疫、环境监测等科研部门作生物、生化、细胞、菌种等各种液态、固态化合物的振荡培养。[/color][img]data:image/jpeg 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[/img][url=http://www.f-lab.cn/shaking-incubators/lom3.html][b]堆叠式振荡摇床培养箱[/b][/url]特色●堆叠多达三台，节约空间最大。●5.6“LCD触摸屏在一个页面显示所有参数和只用手指就可以直观的进行所有复杂的程序设置lom2-8043宽视场折叠门，具有门把手，符合人体工程学。滑动振动平台使得访问实验品时很方便。●无皮带驱动系统既耐用又经济实惠，免维护，可扩展的速度范围从30到300转。●壳体的顶部可以进一步作为工作区的定位小项目的实验室设备等。●孵化器的外壳是用厚冷轧钢板---# 304不锈钢内胆。方便洗涤剂清洗。室高足以容纳2L容量的三角烧瓶。●单元上板可以升级配备的光合生物培养LED照明套件。单/双色可以实现，每种颜色的强度都可以独立控制并编程来模拟昼/夜周期，适合植物细胞培养。●强大的无刷直流电机使摇晃运动安静平稳。●非挥发性存储器在停电时也可以保存设置，在下一次恢复供电自动启动装置。●数据记录，配备内置热敏打印机，使操作人员可以不必在现场就可以检查性能参数和预置配置变化曲线.●钻孔平台作为标准配置，排除烧瓶夹。●工作高度为500mm，工作舒适。

恒温摇床的类别很多，按照不同的分类方法恒温摇床有不同的特点。 　　按照以下分类方法可以将恒温摇床分为：1)按组合件来分类恒温摇床可分谓水浴、气浴与油浴气浴恒温摇床:水浴恒温摇床是一种温度可控的水浴槽和振荡器相结合的生化仪器油浴恒温摇床是一种温度可控的油浴槽和振荡器相结合的生化仪器其中气浴摇床控温最高达到70°C，一般常用37°C，其中水浴摇床控温最高达到100°C2)按震荡方法分恒温摇床可分为：回旋式(实验室)、往复式、双功能恒温摇床3)按震荡频率分恒温摇床可分为：常见有三种：30-200RPM400-300RPM60-400RPM其中震荡频率到达400RPM，因为震荡频率比较大，所以对三角烧瓶的要求高4)按容积分恒温摇床可分为：微量、常量与大型恒温摇床5)按恒温范围分恒温摇床可分为：低温(5—50℃)和常温和高温恒温摇床6)按层数分恒温摇床可分为：单层和双层恒温摇床7)按门数分恒温摇床可分为：单门和双门恒温摇床8)按显示方法分恒温摇床可分为：数显(只能显示数字)和液晶显示屏恒温摇床9)按定时功能分恒温摇床可分为：定时和常开恒温摇床10)按放置方法分：立式、台式、叠式.、落地式恒温摇床11)环保是否分：恒温摇床可分为含氟与无氟恒温摇床12)按加热功率分：恒温摇床可分为999W以下、1000W-1999W;2000W以上恒温摇床13)按振荡幅度分：恒温摇床可分为Φ25mm(常用)、Φ50mm(大幅度)恒温摇床14)按使用电源分：恒温摇床可分为220V50HZ240V50/60Hz型恒温摇床15)按驱动机构分：恒温摇床可分为三维平衡偏心轮驱动四边滑杆驱动机构型恒温摇床16)按压缩机分：恒温摇床可分为进口和国产、优质全封闭压缩机与空气冷却密封压缩机型17)振幅调动方法恒温摇床可分为：多级可调无级可调性恒温摇床。恒温摇床的选购技巧1、确定尺寸(夹具、振幅、温度等)2、确定自己需要温度范围3、价格(要找正规厂家、现在市场上很多没有售后服务的厂家，价格便宜，一旦有了质量问题，很难解决)4、确定购买时，一定要走正规流程，(签合同、写清配置、价格、售后等详细要求)

现在市面上叠加式的生物摇床，除了INFORS还有没有其他牌子，想要国产的，预算没那么多。还有，我买3台单层的生物摇床和买1套3层叠加式生物摇床，有没有什么区别？

脚踏式摇床的结构

现在市面上叠加式的生物摇床，有什么推荐，想要国产的，预算没那么多。还有，我买3台单层的生物摇床和买1套3层叠加式生物摇床，有没有什么区别？

现在市面上叠加式的生物摇床，除了INFORS还有没有其他牌子，想要国产的，预算没那么多。还有，我买3台单层的生物摇床和买1套3层叠加式生物摇床，有没有什么区别？

ＲＴ摇床在生命科学领域应用广泛摇床有很多种 小的 大的 装多大的三角烧瓶这些你们注意过吗赶快说出你们实验室的摇床的用途吧1、培养什么细胞2、摇床有多大容积3、控温效果怎么样4、有制冷配件吗5、转速可以达到多少其他.......................欢迎参与话题，每帖5分 （积极、有效的帖子）杜绝水贴！！！

脱色摇床跟普通摇床有什么区别啊？客户要脱色摇床，一直买摇床，没有关注脱色摇床，不知有什么区别?

生物实验室，尤其是生物工程和微生物实验室少不了摇床，欢迎您说说您实验室的摇床：请按格式跟帖：摇床的品牌/制造商：（必填）摇床的型号：（必填）振荡频率：最大容量：是否有致冷功能：使用中遇到的问题：上传实拍图片另有奖励回复有奖，期待您的参与！

各位前辈好，实验室需要采购摇床和离心机。实验室做科研使用，国产的摇床那个品牌的温控性能比较好，进口的离心机，那些品牌的质量比较好，在国内比较畅销？？？？

大家平时做实验，用到什么类型的摇床？对摇床有什么样的要求啊

[b]波动摇摆摇床MOW-3333[/b]是专业为多色染色和脱色用途设计的[b]脱色摇床[/b],采用[b]波浪波动式摇摆[/b]振荡提供良好混均,广泛用于[b]凝胶脱色,印迹脱色[/b],显微成像和免疫染色等应用。[b]波动摇摆摇床MOW-3333[/b]集合了垂直轨道运动和水平轨道运动,溶液混均效率更高且溶液混合效果更佳。[b]波动摇摆摇床MOW-3333特色[/b]连续运行或计时运行模式,可自由转换5-100RPM可调振荡速度,非常适合混合和洗涤应用2D运动或3D运动[img=波动摇摆摇床]http://www.f-lab.cn/Upload/MOW-3333.jpg[/img]可调平台倾斜角可更换的样品托盘和配件适合多种容器负载能力高达15kgLED数字显示高质量直流无刷电机确保平稳运行重量轻，方便搬动移动[b][/b]

要购买摇床，什么牌子好？质量怎么样

生物恒温培养摇床简介生物恒温培养摇床也称为振荡器，是一种常用的实验室设备，属于生化仪器，广泛用于对温度和振荡频率有较高要求的细菌培养、发酵、杂交、生物化学反应以及酶和组织研究等。实验室常用的液体摇匀，微生物、细菌和细胞培养。生物恒温培养摇床10大性能特点1.生物恒温培养摇床集恒温培养箱和摇床于一体、一机两用、投资少，占地小。2.国内独创轨道偏心轮驱动机构，可实现振幅多级可调。3.三维偏心轮驱动机构，运转更加平稳自如。4.人机友好的图案操作界面，大屏幕背光液晶显示屏幕。5.具有运行参数记忆功能，可避免繁琐操作。6.生物恒温摇床运行参数加密锁定，避免人为误操作。7.微处理芯片PI型温度控制，温度线性好，波动小，液晶显示屏显示设定温度和实际温度。8.微处理芯片频率控制，液晶显示屏显示设定频率和实际频率。9.设有定时功能，1分钟到99.9小时之间设定任意培养时间，液晶显示屏显示剩余时间，到时能自动停机发出声响警报。10交流感应电机驱动，宽调速、恒转矩、恒转数、无碳刷、长寿命、免保养。

[b]3D扭转摇床TOW-3030[/b]又称为Twist Shakers,采用三维轨道旋转扭转运动振荡摇晃实现液体混均,具有噪音小,节省空间,免维护的特点,是理想的[b]实验室轨道扭转振荡器和脱色摇床仪器[/b]。[b][b]3D扭转摇床TOW-3030[/b]特色[/b]强力可靠的三维轨道扭转旋转运动坚固制造工艺适合大容量扭转振荡[img=3D扭转摇床]http://www.f-lab.cn/Upload/TOW-3030.jpg[/img]连续工作或计时工作可用于烧瓶,锥形瓶和试管混均可选配双层平台托盘标准配置防滑垫，可选配特殊的窝状防滑垫防止试管滚动翘板平台托盘采用球关节技术，确保了均匀平和运行，长久运行[b]翘板摇床振荡器[/b]COR-3030规格参数振荡模式：　扭转旋转式(twist)

如题，国产摇床的厂家比比皆是，看样本，对指标，没有发现明显差别，有人指点说，摇床关键看使用效果，可是人家不会免费给你试用啊，请教懂行的板油指点一二

恒温摇床的使用方法：一、 装入试验瓶，并保持平衡，如是双功能机型，设定振荡方式。二、接通电源，设定定时时间，若要长时间工作，将定时器调至“常开”位置。三、打开电源开关，设定恒温温度：四、开启振荡装置：1.打开控制面板上的振荡开关，指示灯亮。2.调节振荡速度旋钮至所需的振荡频率。五、工作完毕切断电源，置调速旋钮与控温旋钮至最低点。六、清洁机器，保持干净。以上简单的介绍了恒温摇床的使用方法。

我公司现有10台摇床暂时不用，拟处理掉，在武汉。有兴趣的请联系13035103869，QQ952608550。谢谢！

微电脑大容量恒温摇床产品特点：本产品是一种温度可控的培养箱和大容量振荡器有机结合的高精度生化仪器。ZD-85A,Z-85B微电脑大容量恒温摇床的详细资料：ZD-85B全温振荡器是一种温度可控的培养箱和大容量振荡器有机结合的高精度生化仪器。ZD-85B全温振荡器特点：1、培养箱内配置照明装置，便于观察；2、箱内增设循环风机，强迫空气循环，温度分布均匀，实验效果更好；3、具有光照与无光照两种规格；4、产品广泛用于生物遗传工程、医学、农业、林业、环境科学、畜牧、水产等部门实验室。

大家帮忙推荐一下国产摇床质量好的有那几个？

求助，有没有推荐的国产品牌的水浴摇床，价格在2000元左右，要求物美价廉，口碑比较好的？

有菌液需要振荡培养，本来申请采购振荡培养箱，一个多月了公司还没批。部门领导说让看看能不能把摇床放培养箱里用

我们的一个恒温摇床响声比较大是怎么回事？并且在开始启动的时候，需要等一会儿才能开始摇动。

水浴摇床一夜之间突然坏了，插上电源以后指示灯不亮，也不摇了，但是保险丝还没有断，由于是国产的，厂家根本就不管维修事宜，真郁闷！只好自己修啦！哪位大虾有修摇床的经验啊，可否介绍一二？多谢拉！

GS-Smart小型自动凝胶染色仪与台式水平脱色摇床在CBB染色法中的应用对比台式水平脱色摇床是生物学实验室常见的仪器设备，常用于普通凝胶电泳条带固定、考马斯亮蓝（CBB）染色脱色、硝酸银染色、蛋白质免疫印迹（Western Blot）、细胞培养和放射自显影等实验中。一般的台式水平脱色摇床主要是通过调节定幅载具的摆动频率，从而控制样品在溶液中的摆动快慢，这既是该仪器的基本工作原理，也是她在以上实验中主要发挥的作用。在普通考马斯亮蓝染色、脱色实验中，台式水平脱色摇床就是科研工作者们经常会用到的设备。一般是设定工作池的摇摆频率后，先后加入CBB染色液、脱色液，使摇床工作池持续摇摆，再置入蛋白凝胶使其在摇摆的液体中充分浸润洗涤，从而实现染色脱色。但一般的台式水平脱色摇床除了工作池的摆动频率可调外，没有其他参数能设置，虽然某些型号摇床还增加了定时功能，但也无法设置自动完成复杂的步骤。因此，前期进液、换液和排液都需要实验人员手动操作，另外，染色、脱色时间也只能靠实验人员自己把握。再者，台式水平脱色摇床的工作池一般裸露在外，摇摆过程中，有可能溅出溢出CBB染色液、脱色液，还有可能挥发出有毒化合物。这样不仅容易造成污染，甚至可能产生安全隐患，进而危害实验人员的健康。相比之下，鼎昊源GS-Smart小型自动凝胶染色仪无论在功能上、设计上还是外观上均领先台式水平脱色摇床，例如：1.智能编程功能：GS-Smart内置3种标准的染色程序，可编程存储47个自定义程序，可以轻松实现进液、换液、出液、定时摇动和废液回收等步骤，无人值守，让实验全程自动完成，这将为那些还在使用传统台式水平脱色摇床做CBB染色脱色实验的科研工作者们节省大量时间精力。2.可封闭可定制的染色池：GS-Smart染色池可封闭，既能防止液体溅出溢出、阻隔挥发物质，还可选择并定制各种尺寸。有些科研工作者为实现“快速”CBB染色脱色，习惯将CBB染色液或脱色液加热至沸腾然后进行染色脱色处理，而高温状态的液体会加速挥发甲醇乙酸等化合物，如果此时使用台式水平脱色摇床，无疑具有一定的安全隐患。3.机身与储液瓶一体化设计：该设计属于国际首创，与市场同类产品相比，减少了分散在外的瓶瓶罐罐，从而整机占地面积与普通台式水平脱色摇床相当。不仅节省了实验室空间，同时也美化了整体外观。综上，在CBB染色脱色实验应用方面，鼎昊源GS-Smart小型自动凝胶染色仪无论在功能上、设计上还是外观上均全面领先于台式水平脱色摇床。事实上，GS-Smart从2013年春季发布之初，就定位成了一款为考马斯亮蓝染色脱色实验而生的仪器，她的最终使命是全面取代CBB染色脱色实验中的台式水平脱色摇床，从而让所有CBB染色脱色自动进行！本文关键词：摇床,脱色摇床,水平脱色摇床

一、应用范围及主要特点：　　智能恒温培养摇床(振荡器) 。广泛应用于对温度、振荡频率、振幅有较高要求的细菌培养、发酵、杂交和生物化学反应及发酵、细胞组织研究等。在医学、生物学、分子学、制药、食品、环保等研究应用领域有着广泛而重要的作用。　　小外型大空间、有效工作容积大;环保半导件体制冷、静音绿色、寿命长;一人一台省空间，叠加使用更灵活;摇床滑道设计，更有效利用箱内空间　　1、首创尖端USB数据下载处理系统，方便快捷的追溯实验过程，优选实验方法，优化实验条件，存储量大，可自动将实验数据以图表和图形表示出来。无需外接打印机和内置打印机，免去了打印机长期运行时需不断换纸。而打印机也无法将打印出的数据变成直观的便于分析的图形。　　2、U盘一插，瞬间完成数据下载，鼠标轻点，瞬间完成实验数据的列表、回放、成图等多种功能，极方便、快捷地追溯实验过程，完成实验报告，筛选实验条件，优化实验方法。　　3、 积分负反馈控制技术，保证了转速，温度的精确性，可靠性。　　4、独特驱动系统，使机器运转平滑、稳定、耐久、可靠。　　5、智能化声光报警环境扫描微处理控制器。据有开盖自停保护，自诊断、安全报警功能。　　6、大屏幕背景光液晶显示屏，中文字幕人机对话提示功能，同时显示实测值、设定值和机器运行状态　　7、运行参数可记忆、保护。电源意外断电，来电后自动按原设定程序恢复运行。　　8、运行参数加密码锁，避免人为误操作。有光照和紫外消毒功能。　　9、独特的电机过热、温度失控自动断电保护装置。　　10、最大定时为999小时，液晶屏显示设定时间和剩余时间。　　11、独特慢启动设计，防止了骤然启动造成的摇瓶液体外溅，有效保证了定量实验的准确性。　　12、电子封闭可调式封闭循环加热。静音风扇设计和强制对流方式，确保了良好的恒温效果。　　13、流线型、超大视窗设计，ABS箱体，镜面不锈钢内衬和腔体组件，倾斜式人性化控制面板。