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转自科学网杨志的博客) F+ @# A8 h" P& l& I# s6 @
1.Filled in the lab journal inefficiently / j. D7 g2 s; `2 y
Never work with loose paper and write down clearly in a logical way
& E5 Q+ \; C; c有许多人没有养成一个良好的实验记录的习惯,随便捡一张废纸就信手记录数据,以至于原始的实验数据保存不当,日后麻烦非常之大。9 {1 U! g; ?9 u/ L/ y5 @* J
2.Forget to work with replicates ! r2 _/ q" r8 |4 S) r5 @/ U% v
Replicates will give more reliable results.; g, |! L$ f! y
忘记设置重复实验,设置重复实验可减少或降低系统误差,保证实验的精确性: V$ u- D, a3 A/ F7 n$ G
3.Took no representative samples ! P" `' D: N( {9 \( t l
Be sure that you have taken representative sample. Do not forget to stir.# z! i# r! [! D9 a; h% p
取样时忽略了均质、搅拌等步骤,所取的样品不具有代表性,根据这样的样品得到的分析、测定的结果又怎么可信? ?; z% U9 M- K2 K( H
4.Diluted the samples not enough to be in the range of the calibration curve
. Z7 M5 I I3 \ Dilute your sample and never extend the calibration curve
2 s9 D1 j6 I$ K- B- C0 [; g" }现代的很多分析实验手段诸如紫外-可见光谱、HPLC、GC等的定量分析,都需要标准曲线,如果测定值超过了标准曲线的范围,结果的可信度不言而喻了。
& J) Z$ c; m& w' H2 {5.Forgot to take a blank account
+ M1 i, n4 R7 X! m7 d, t2 Y: z Never forget when it is necessary to take a blank into account. This can be a reagent or a sample blank.
& f! M6 O; T4 N8 z. l- m不要忽略空白实验,空白试验包括试剂和样品的空白,忽略空白实验往往导致实验数据偏大或偏小。
* M( t1 X9 R1 Z& _7 i6.Had code problems.
# Q3 H3 w, ^1 U Code your samples and write down the meaning of the code in your lab journal.
& M% L2 @/ C# s8 B3 d一定要将实验样品的编号意义清楚、调理的记录在实验记录册上,以备后面实验结果分析之用。; F5 \- m' }0 l2 G4 Q9 y1 f4 s& p
7.Did not took the sensitivity of specific compounds into account towards conditions 0 L/ b2 S% { q3 y. |
Be sure that you are performing the experiment at the right conditions.2 \8 V% e* Q; j8 |' n
在进行酶的实验中,一定要考虑好酶的作用条件,避免在极端的条件下进行反应。酶是很‘娇贵’的啊。7 M( Y9 c& B6 `( F* k) _0 ]4 t( z
8.Was accurate at the wrong moment. & A8 x- Y: y( i; U8 W6 k4 `. G% B
Know when you have to work precisely and when NOT to do this.8 o. b" v. v+ ]0 R& D- b
在实验过程中保持一颗清醒的头脑,适时的检查自己的实验步骤。
! w. V0 ?8 P- s- Q. P3 y2 g3 y/ l: E: ~9.Did not evaluate other peoples results directly." A( H/ N$ p: A, b) v" a! ^
A direct evaluation will let you know if you performed the experiment well. If so, you can on with the next experiment, but if not you can directly perform the experiment again.
0 {6 t# t- A- c/ o; z10.Did not make estimations of outcomes
& y5 s! k+ O0 Q# ~Most of the time you can make estimations of your results. This will make evaluation much easier and you can sometimes also left out some experiments in your planning. @' ^" \8 E! A4 ~% _0 T* B+ x6 v
在实验过程中,没有及时的对已经得到的结果进行合理的分析和估计。在很多时候,及时的分析和评估已有的实验结果,可以为你省去计划中的不少实验。 |
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