Ultrapure Fluids
Evaluating the use of a filter/purifier in a spray processor
for post-RCA rinsing
Léon Winters, Philips Semiconductors; and Joseph Zahka, Millipore
Placing a filter close to the process chamber can minimize contaminant
levels in ultrapure rinsewater and on the wafer surface.
During the manufacture of semiconductor devices, the wafer surface is
exposed at numerous process steps to potential sources of contamination,
including particles, inorganic ions, and organic residues. To ensure a
stable production process, it is necessary to maintain a constant, low
baseline surface contamination level. Wet cleans are commonly used to
achieve that objective.
The effectiveness of a wet clean is determined by three
main parameters: its intrinsic contamination level (i.e., the level of
contaminants and roughness that is added by the cleaning sequence itself),
its capability to remove contaminants and to smooth out surface roughness,
and its robustness. A clean is considered robust when it achieves the
same low baseline contamination levels on wafers even if high levels of
contaminants occasionally appear in the cleaning sequence. The fact that
the RCA cleaning sequence, improved with the introduction of megasonics
and dilute chemistry, is still in use in front-end processing after 30
years implies that it adheres to these cleaning parameters.
The peroxide-based RCA technique uses two standard clean (SC) chemical
mixtures.1 The SC-1 chemistry consists of ammonium hydroxide,
hydrogen peroxide, and ultrapure water (UPW), while SC-2 consists of hydrochloric
acid, hydrogen peroxide, and UPW. The wafers are also rinsed with UPW
following both the SC-1 and SC-2 cleaning steps. The optimization of the
RCA process has been intensively investigated, and researchers have found
that the post-RCA wafer surface levels of several metal contaminants depend
strongly on the metal concentration in UPW.2,3 The study discussed
in this article evaluated the effectiveness of a filter/purifier at reducing
the metal concentration of UPW and, consequently, the wafer surface metal
concentration after an RCA clean. Because the filter/purifier had already
been tested in a single-tank wet bench configuration, this study focused
on its performance in a spray processor.4
Designed by Millipore (Bedford, MA) for the purification of critical
rinses in wafer manufacturing, the RinseGard point-of-use filter/purifier
that was evaluated contains an ultrahigh-molecular-weight polyethylene
membrane with a modified surface. Ion-exchange groups that are attached
at the hydrophilic surface are able to extract specific metals from the
passing UPW. Earlier test reports showed that the filter reduces the levels
of aluminum, chromium, nickel, zinc, iron, and copper on the wafer surface
by 57100% after 24 hours of water flushing in an overflow tank.4
The filter/purifier is less effective at removing calcium and ineffective
for sodium and potassium. Some specifications of the filter are given
in Table I.
Experimental Equipment
In semiconductor production environments, wet cleaning is generally
performed in wet benches or spray processors. Wet benches contain several
tanks; some are filled with chemical mixtures and others are used only
for wafer rinsing. Wafers are transported from tank to tank by a robot,
and after the final rinsing step the wafers are dried. In contrast, a
spray processor can perform an entire RCA cleaning sequence, including
all rinses and the final drying step, while the wafers remain in a single
closed process chamber. A typical RCA sequence in a spray processor is
depicted in Figure 1.
|
Characteristic
|
Capability Rating
|
| Pore size |
0.05 µm
|
Maximum operating
temperature
|
60°C
|
|
Maximum metal capacity
|
20 mg
|
|
Particles added > 0.2 µm
|
<2 particles/ml after a
5-minute flush at 5 L/min
|
|
| Table I: Specifications of the filter/purifier. |
 |
| Figure 1: Typical RCA sequence in a spray processor. |
The Spray Processor. A standard production spray processor
was used for all of the experiments that were conducted to investigate
the performance of the filter/purifier. In this system, the wafers, contained
in a quartz cassette, are loaded onto a turntable, which rotates them
past a stationary spray post located in the center of the process chamber.
Chemicals, UPW, and nitrogen can be introduced either simultaneously or
sequentially into the process chamber through one or more liquid feed
systems. Following a programmed sequence, the appropriate chemistry or
UPW is directed uniformly through the spray post at the wafers. For optimal
performance, it is also possible to program rotation speeds. The spent
liquid is generally drained continuously through the bottom of the process
chamber so that wafers always contact fresh chemicals and UPW. Because
the process chamber is totally closed, the operator and the cleanroom
are never exposed to the chemicals.
Three rinsing functions can be programmed: function 1 rinses the
feed system tubing, function 2 rinses the process chamber walls, and function
3 rinses the wafer surfaces. Three drying functions also are available.
During this final process step, the separate feed systems as well as the
process chamber are purged with high-pressure nitrogen.
Analytical Equipment. During the investigation, contamination
levels on Wacker P-type (B), <100>, 150-mm, 100200- cm
test wafers were analyzed using three techniques: minority carrier lifetime
(MCLT) analysis, vapor-phase decompositiontotal x-ray fluorescence
(VPD-TXRF), and light-point defect (LPD) counting.
To roughly estimate the performance of the filter without intensive
analysis, MCLT was performed using a Model WT-85 analyzer from Microlab.
This technique uses a laser pulse to generate electron-hole pairs in several
microns of the front side of the wafer. As the minority carriers diffuse
further into the substrate, the decrease in carrier concentration can
be determined as a function of time by measuring the microwave reflection.
These data are then converted to a minority carrier lifetime. To perform
reliable measurements, it is important to diffuse the surface contaminants
into the substrate bulk and to passivate the surface. Passivation is necessary
because surface traps will also decrease MCLT. Therefore, in all the experiments
involving MCLT analysis, wafers were oxidized in a standard production
furnace at 950°C for 30 minutes. Both contaminant diffusion and surface
passivation occurred during this thermal processing. MCLT analysis is
not sensitive for all elements; however, it is known that the technique
is especially sensitive to iron contamination.5
VPD-TXRF was performed with a homemade VPD-line, a Gemetec
Pad Scan (Munich), and a TXRF 8010 spectrometer from Atomika Instruments
(Oberschleissheim, Germany). In this technique, the native or thermally
grown oxide layer of the silicon surface is converted with HF vapor into
fluid droplets that contain the impurities of the oxide layer. With a
scanning droplet, the fluid reaction products are collected in one microdroplet.
The microdroplet is dried on the wafer under controlled conditions and
analyzed with TXRF. The TXRF technique uses x-rays impinging on this spot.
X-rays impinging on this spot on the surface at a small angle lead to
an excitation of the (sub)surface atoms. By measuring the x-ray fluorescence,
many elements can be determined.
LPD counts on wafer surfaces were determined using a Model 2020
wafer surface inspection system (Inspex; Billerica, MA). This system uses
a tungsten-xenon lamp to illuminate the wafer surface and a highly sensitive
camera to measure light scattering caused by surface particles and pits.
Processing of the output signal results in an LPD count. The instrument
has a sensitivity of 0.3 µm.
Particle measurements in UPW were also performed, using an HSLIS-M50
high-sensitivity optical particle counter from Particle Measuring Systems
(Boulder, CO). This system consists of a laser diode, a measurement cell,
a photo detector, and a data-handling system. When particles enter the
cell, the laser beam focused there will be reflected or scattered. The
photo detector measures the scattered light and transforms this measurement
into an electrical impulse, the intensity of which is correlated to the
particle size and concentration.
Experimental Setup and Results
To determine the effectiveness of the filter/purifier at reducing
the wafer surface metal contamination level after UPW rinsing, filter
units were placed at various positions in the spray processor. In the
first experiment, one filter/ purifier was installed in the main UPW supply;
in the next experiments, a single filter/purifier was installed in each
rinsewater feed line sequentially; and in the third set of tests, filter/purifiers
were placed in all three of the rinsewater feed lines at the same time.
To prevent high-pressure changes on the filter membrane during purging
with nitrogen, which is necessary to dry the rinsewater feed lines and
the wafers, the entrance points of the nitrogen lines were shifted to
a point following the filters for the second and third sets of experiments.
The configuration of the spray processor, including its filter placements,
is shown in Figure 2. In all cases, a Teflon valve was placed on top of
the filter holder to make it possible to bypass the filter without disconnecting
the tubing.
 |
| Figure 2: Schematic of the spray processor showing placement
of filters. |
The first experiment was based on the assumption that placing
a filter/purifier in the main UPW supply of the spray tool would lead
to an increase of MCLT and a reduction in surface metal contaminants.
After several blank runs, the spray processor was loaded with test wafers
and a rinse recipe was run with the filter in operation and then with
the filter in bypass mode. Next, MCLT analysis of the processed wafers
was performed to evaluate the performance of the filter. These results
(116 ± 8 milliseconds versus 126 ± 6 milliseconds, respectively)
revealed that there was no significant difference in MCLT values between
wafers processed with the filter/purifier and those processed without
it, suggesting that the main contamination source was not the incoming
UPW but one or more components in the spray processor feed systems (the
tubing, valves, couplings, or heater, for example).
In the next set of experiments, a filter was placed consecutively
into the three rinsewater feed lines. Two separate rinsing processes were
performed using water from all three feed lines simultaneously, even though
the filter was placed in only one rinsing feed line at a time. In three
separate runs, with the filter/purifier placed in the feed lines for rinse
functions 1, 2, and 3, respectively, the MCLT results were as follows:
function 1: 140 ± 23 milliseconds, function 2: 131 ± 3 milliseconds,
function 3: 106 ± 4 milliseconds. Again, these data showed that there
was no improvement in MCLT, in spite of the installation of a filter/purifier
in one of the feed lines.
In the next test, the wafer surface was exposed to water only
from the respective filtered rinsewater feed lines. Rinsing was performed
with each filter in operation and in bypass mode. The MCLT results for
these runs, presented in Table II and the left side of Figure 3, clearly
indicate that there was a significant improvement of the MCLT when only
filtered water was used. It was concluded that to protect against contamination
from sources inside the spray processor it is necessary to install filter/purifiers
in all three rinsewater feed lines.
| |
Rinse without
Filter (µs)
|
Rinse with
Filter (µs)
|
| Rinse function 1 |
195 ± 18
|
832 ± 39
|
| Rinse function 2 |
160 ± 6
|
528 ± 60
|
| Rinse function 3 |
240 ± 27
|
758 ± 133
|
| Reference |
1754 ± 16
|
|
| Table II: MCLT results for various rinsing steps with and without
a filter in separate rinsewater feed lines. |
After the filters had been installed in all three lines and several
blank runs had been performed, the spray processor was loaded with wafers
and a final rinse/dry program was run. As shown in Figure 3, the MCLT
results for this final rinse also improved--to 451 ± 94 milliseconds
with the filter/purifiers in operation compared with 285 ± 10 milliseconds
with the filters in bypass mode. Considered together, the MCLT results
from all of the experiments, which are summarized in Figure 4, indicate
that placing filters in the feed lines improved the performance of the
rinsing steps.
 |
| Figure 3: MCLT results for various RCA clean steps with and without
filters. |
 |
| Figure 4: Summary of MCLT analysis results for rinsing experiments.
|
The study was then extended by submitting test wafers to a full
RCA cleaning cycle. MCLT analysis, VPD-TXRF, and LPD measurements were
performed on these wafers. As shown at the far right in Figure 3, the
MCLT was higher with the filters in place (600 ± 10 milliseconds)
than when they were bypassed (280 ± 26 milliseconds). The VPD-TXRF
results showed a decrease in surface concentrations of nickel, copper,
and zinc of approximately 5070% when the filters were in place,
as demonstrated in Table III and Figure 5. Although it is believed that
lowering the iron concentration was chiefly responsible for the improvement
in MCLT, it was not possible to detect a significant decrease in iron
levels by VPD-TXRF because the concentrations were so low. An increase
of chromium was observed following the RCA sequence, but this high level
could not be reproduced in later experiments, thus implying that it was
a result of mishandling the sample or an analysis error. Overall, the
TXRF results confirm other researchers' findings that the intrinsic performance
of the RCA clean is to a great extent determined by the final rinsing
step for the reported metals, with the exception of zinc. The LPD measurements
showed that there was no significant difference in particle levels between
wafer surfaces rinsed with the filter/purifiers in place and those rinsed
without them. In both cases, fewer than 5 LPDs larger than 0.3 µm
were counted.
|
Metallic
Contaminants
|
Final Rinse
without Filters
(1010 atoms/cm2)
|
Final Rinse
with Filters
(1010 atoms/cm2)
|
RCA clean
without Filters
(1010 atoms/cm2)
|
RCA clean
with Filters
(1010 atoms/cm2)
|
|
Calcium
|
8 ± 5
|
4 ± 1
|
5 ± 0.5
|
4 ()
|
|
Chromium
|
<0.2
|
<0.2
|
1.7 ± 1
|
<0.2
|
| Iron |
0.4 ± 0.1
|
0.3 ± 0.15
|
0.4 ± 0.1
|
0.3 ()
|
| Cobalt |
0.2 ± 0.06
|
<0.1
|
0.13 ± 0.02
|
0.13 ± 0.01
|
| Nickel |
3 ± 0.1
|
0.9 ± 0.1
|
3 ± 0.4
|
1 ± 0.1
|
| Copper |
0.8 ± 0.1
|
0.3 ± 0.03
|
0.8 ± 0.03
|
0.3 ± 0.1
|
| Zinc |
1 ± 0.4
|
1 ± 0.7
|
0.6 ± 0.01
|
0.3 ± 0.2
|
|
| Table III: VPD-TXRF results after final rinsing step and full
RCA clean with and without filters. |
 |
| Figure 5: VPD-TXRF results after final rinsing step and full
RCA clean with and without filters. |
|
Particle
Size
|
Particle Count in UPW
without Filter (particles/ml)
|
Particle Count in UPW
with Filter (particles/ml)
|
|
0.050.1 µm
|
400600
|
<5
|
| 0.10.15 µm |
4070
|
<1
|
| 0.150.2 µm |
36
|
<1
|
| >0.2 µm |
01
|
<1
|
|
| Table IV: Particle counts after switching from hot to cold UPW
upstream and downstream of a filter. |
In the final sets of tests, particles in the UPW just downstream
of the filter for rinsing function 1 were measured using an optical counter.
With a continuous flow of cold UPW, particle levels stabilized after only
1 hour at <5 particles/ml >0.05 µm. The same results were achieved
when hot UPW (70°C) was used. These initial results demonstrate only
the potential particle addition attributable to the filter itself, since
the standard prefilters in the spray processor were not removed. In the
next test, the prefilters were bypassed to challenge the filter. Measurements
taken at the filter inlet and outlet showed that while the UPW entering
the filter contained approximately 50 particles/ml >0.05 µm, the
UPW at the filter outlet contained <5 particles/ml >0.05 µm.
During these experiments, it was discovered that for all of the rinsewater
feed lines, large amounts of particles are released when valves are switched
from one mode of operation to another (for example, from hot to cold rinse).
As Table IV shows, however, the filter/purifier is able to significantly
reduce even such high levels of particulate contamination.
Conclusion
The performance of a filter/purifier was tested by placing one
or more units in various positions in a standard production spray processor.
The results revealed that the position of filters in such equipment can
be extremely important. Because feed system components can be the major
source of UPW contamination, the filters should be placed as close to
the process chamber as possible. When a filter was placed at the UPW inlet
of the processor, no improvement was observed in minority carrier lifetime
after wafer rinsing. However, when a filter was installed downstream in
a rinsewater feed line, MCLT results increased significantly. The best
postrinsing results were achieved when filters were installed in all three
rinsewater feed lines close to the process chamber. In additional tests
with three filters in place, wafers were subject to an RCA clean and to
a final rinse/dry step only. In both cases, an improvement in MCLT was
observed over wafers processed without filters. It is expected that the
benefit of the filter, as discussed in this article, depends on the contamination
level to which the filter has been exposed.
VPD-TXRF and light-point defect measurements were also performed
on test wafers. The VPD-TXRF results indicated that the effectiveness
of the filter depends highly on the nature of the metal contaminants.
Improvements in the levels of iron, nickel, copper, and zinc were observed
when results for wafers processed with the filters were compared with
results for runs without filters. LPDs were the same for the runs with
and without filters.
Finally, in particle counts taken in the UPW, fewer than 5 particles/ml
>0.05 µm were measured at the outlet of the filter, even at rinsewater
temperatures as high as 70°C. Although valve switching during processing
was identified as a source of substantial particle addition, the filter
was able to remove these contaminants.
Acknowledgments
The authors would like to thank Ingrid Rink, Ronald Wortelboer, Erik
Derksen, and Ferdinand Landsheer of Philips Semiconductors and Joop Sluis
and Rainer Grosche of Millipore for their valuable contributions to this
research. Special thanks also go to Harry Thewissen for his careful reading
of the manuscript. The study discussed in this article has been performed
in the framework of the European Medea T-612 project.
References
- W Kern and D Puotinen, "Cleaning Solutions Based on Hydrogen Peroxide
for Use in Silicon Semiconductor Technology," RCA Review (June
1970): 187206.
- L Winters, "The Impact of Rinse Water Temperature and Rinsing Time
on Surface Metal Concentration," Internal Philips Report RNR-R52-99/AZ0032
(Nijmegen, The Netherlands: Philips Semiconductors, 1999).
- LM Loewenstein and PW Mertens, "The Rinsing Problem: Effect of Solute-Surface
Interactions on Wafer Purity," Solid State Phenomena 6566
(1999): 16.
- M Amari et al., "Point of Use Purification of DI Water," Millipore
Microelectronics Div. Technical Document MA073 (Bedford, MA: Millipore,
1999).
- L Köster and P Blochl, "Element Specific Diagnosis Using Microwave
Reflection Photoconductive Decay," Japanese Journal of Applied Physics
34, part I, no. 2B (1995): 932936.
Léon Winters is an engineer at the process and material
development department (PMO) of Philips Semiconductors (Nijmegen, The
Netherlands). Specializing in wet chemistry, he joined the analytical-chemical
department in 1987 and headed that department from 1990 to 1994. Since
1995 Winters has been a member of the contamination studies group of the
process and material development department, where he concentrates on
the chemical and physical aspects of wet bench and spray processor cleaning
technologies. He received a bachelor's degree from the Hogeschool Eindhoven
in 1986. (Winters can be reached at leon.winters@philips.com.)
Joseph Zahka is an engineering fellow in the applications department
of Millipore's microelectronics division in Bedford, MA. He has worked
at the company for 20 years, applying products to the microelectronics,
pharmaceutical, and medical industries. He received a BS in chemical engineering
from Rensselaer Polytechnic Institute (Troy, NY) in 1970 and received
an MS from MIT (Cambridge, MA) in 1971. (Zahka can be reached at 781/533-5403
or joseph_zahka@millipore.com.)

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