1.Filled in the lab journal inefficiently
Never work with loose paper and write down clearly in a
logical way
有許多人沒有養成一個良好的實驗記錄的習慣,隨便撿一張廢紙就信手記錄數據,以至于原始的實驗數據保存不當,日后麻煩非常之大。
2.Forget to work with replicates
Replicates will give more reliable results.
忘記設置重復實驗,設置重復實驗可減少或降低系統誤差,保證實驗的精確性
3.Took no representative samples
Be sure that you have taken representative sample. Do not
forget to stir.
取樣時忽略了均質、攪拌等步驟,所取的樣品不具有代表性,根據這樣的樣品得到的分析、測定的結果又怎么可信?
4.Diluted the samples not enough to be in the range of the
calibration curve
Dilute your sample and never extend the calibration
curve
現代的很多分析實驗手段諸如紫外-可見光譜、HPLC、GC等的定量分析,都需要標準曲線,如果測定值超過了標準曲線的范圍,結果的可信度不言而喻了。
5.Forgot to take a blank account
Never forget when it is necessary to take a blank into
account. This can be a reagent or a sample blank.
不要忽略空白實驗,空白試驗包括試劑和樣品的空白,忽略空白實驗往往導致實驗數據偏大或偏小。
6.Had code problems.
Code your samples and write down the meaning of the code in
your lab journal.
一定要將實驗樣品的編號意義清楚、調理的記錄在實驗記錄冊上,以備后面實驗結果分析之用。
7.Did not took the sensitivity of specific compounds into
account towards conditions
Be sure that you are performing the experiment at the right
conditions.
在進行酶的實驗中,一定要考慮好酶的作用條件,避免在極端的條件下進行反應。酶是很‘嬌貴’的啊。
8.Was accurate at the wrong moment.
Know when you have to work precisely and when NOT to do
this.
在實驗過程中保持一顆清醒的頭腦,適時的檢查自己的實驗步驟。
9.Did not evaluate other peoples results directly.
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.
10.Did not make estimations of outcomes
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.
在實驗過程中,沒有及時的對已經得到的結果進行合理的分析和估計。在很多時候,及時的分析和評估已有的實驗結果,可以為你省去計劃中的不少實驗。