Improve SNR for Raman Spectroscopy with Photoresistor: Tips and Tricks"

In summary, using Raman spectroscopy, we are detecting chemicals through emitted light. By cooling the circuit to 77 K, the SNR for our light transistor photo-resistor is only 3, much less than the desired 20. To improve the SNR without changing the sensor, we can consider other sources of noise such as power supply ripple, 1/f noise, and shot noise. Additionally, we can cool the circuit further or consult resources like "Building electro optical systems" by Philip Hobbs for more solutions.
  • #1
engineer23
75
0

Homework Statement



We are using Raman spectroscopy to detect the presence of chemicals from emitted light.

We have a light transistor that behaves as a photo-resistor of 50k-ohm resistance. The light signal generates 2 microvolts of 2 kHz signal at normal Raman levels. We want at least a 20 to 1 SNR (Signal to noise ratio).

Cool the circuit to 77 K. What is the SNR?
What two things can be done to improve SNR without changing the sensor?

Homework Equations


noise for a resistor = sqrt(4KTRf), where K is the Boltzmann constant, T is the temperature, R is the resistance, and f is the bandwidth


The Attempt at a Solution



Substituting directly into the equation for noise with T = 77 K, R = 50000 ohms, and f = 2000 Hz, I get sqrt (4*1.38*10E-23*77*50000*2000) = .651 microvolts.

The SNR is then signal/noise = 2 microvolts/.651 microvolts = 3 This is much less than the 20 SNR we need.

But shouldn't the resistance of the photoresistor change with temperature as well? Intuitively, it seems that resistance would increase with decreasing temperature? Is there an equation I should be aware of which governs this behavior?

Also, I suppose that we could cool the circuit more to meet spec? But is there something else that can be done without changing the device itself?
 
Physics news on Phys.org
  • #2
You are assuming that all the noise is thermal.
There is also power supply ripple, 1/f noise and shot noise.

If you can find a copy "Building electro optical systems" - Philip Hobbs, is excellent for this sort of thing
 
  • #3




There are a few ways to improve the SNR for Raman spectroscopy with a photoresistor. The first step would be to cool the circuit to 77 K as mentioned in the prompt. This will reduce the noise level and improve the SNR. However, as you have pointed out, the resistance of the photoresistor may also change with temperature and this should be taken into account when calculating the noise level.

To improve the SNR without changing the sensor, you can try the following tips and tricks:

1. Increase the light intensity: By increasing the intensity of the light source, you can increase the signal level and improve the SNR. This can be achieved by using a more powerful light source or by increasing the exposure time.

2. Use a narrowband filter: A narrowband filter can be used to filter out unwanted background noise and improve the SNR. This is especially useful if there are other sources of light in the environment.

3. Optimize the detector: Make sure that the detector is properly aligned and positioned to receive the maximum amount of light from the sample. This will help to improve the signal level and therefore, the SNR.

4. Increase the integration time: By increasing the integration time, you can increase the amount of light collected and improve the SNR. However, this may also increase the risk of thermal noise, so it is important to find the right balance.

5. Use a lock-in amplifier: A lock-in amplifier can be used to improve the SNR by filtering out noise that is not at the same frequency as the signal. This is particularly useful for low-level signals.

Overall, it is important to carefully optimize the experimental setup and consider all possible sources of noise in order to improve the SNR for Raman spectroscopy with a photoresistor.
 

1. What is a photoresistor?

A photoresistor, also known as a light-dependent resistor or LDR, is a type of resistor that changes its resistance based on the amount of light it is exposed to. It is made of a semiconductor material that decreases in resistance when light is present and increases in resistance when there is no light.

2. How does a photoresistor work?

A photoresistor works by using the photoelectric effect, which is the emission of electrons when light is shone on a material. When light hits the photoresistor, it causes more electrons to be released, reducing its resistance. This change in resistance can then be measured and used for various purposes.

3. What is the purpose of a photoresistor?

The purpose of a photoresistor is to detect and measure the amount of light in a given environment. It can be used in various electronic circuits to control the amount of light or to trigger certain actions based on the level of light detected. For example, it can be used in automatic streetlights to turn them on when it gets dark and turn them off when it gets light.

4. What is noise in relation to photoresistors?

Noise is unwanted electrical signals that can affect the performance of a photoresistor. It can be caused by external factors such as electromagnetic interference, temperature changes, and vibrations. Noise can cause inaccurate readings from the photoresistor, so it is important to minimize its effects through proper circuit design and shielding.

5. How can noise be reduced in photoresistors?

Noise in photoresistors can be reduced by using a low-pass filter, which blocks high-frequency signals that can cause noise. Another method is to use shielded cables and components to prevent external interference. Additionally, using a high-quality photoresistor and proper circuit layout can also help reduce noise.

Similar threads

  • Introductory Physics Homework Help
Replies
4
Views
2K
  • Introductory Physics Homework Help
Replies
30
Views
2K
  • Electrical Engineering
Replies
1
Views
1K
Replies
2
Views
2K
  • Electrical Engineering
Replies
21
Views
11K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
8
Views
3K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
4
Views
2K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
7
Views
2K
  • MATLAB, Maple, Mathematica, LaTeX
Replies
7
Views
3K
Back
Top