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FTIR conformity analysis and performance testings of fresh, aged and expired polymeric paints under different storage conditions

  • Norsyazlin Abd Rashid EMAIL logo , Yoga Sugama Salim , Suhaila Idayu Abdul Halim , Mohamad Kamal Harun , Chong Hup Ong and Chin Han Chan ORCID logo
Published/Copyright: February 27, 2023

Abstract

This study aims to correlate the molecular structure consistency of unmixed paints and the performance of 2-pack three-layer protective dried coatings (mixed and cured paints) in various aging conditions (fresh, aged and expired paints) stored under different conditions. All the physical tests (density, solid content, viscosity and sag resistance) of paints fulfil the required specifications. However, these tests cannot tell if the chemical formulation of retained paints (aged and expired) has undergone changes due to storage. The conformity analysis by Fourier-transform infrared (FTIR) spectroscopy coupled with squared derivative algorithm was employed for molecular structure analysis comparison of the fresh and retained paints. FTIR results show high degree of similarity (r), with r ≥ 0.900 for the properly stored retained paints when compared against its fresh paints using high sensitivity compare algorithm. This finding is validated with a paired Student’s t-test and it turns out that the r values of properly stored paints are not statistically different from the fresh paints. Moreover, the performance test (pull off adhesion and salt-spray) of dried coatings indicates good durability when the properly stored retained paints with high degree of structural similarity are applied on the substrate according to end user specifications. This approach offers a practical solution for the paint manufacturer and user to employ a rapid and non-destructive FTIR structural analysis for the confirmation of structural consistency of retained paints before application instead of disposing the polymeric paint without verification.

Introduction

Protective coatings are usually applied in multiple layers in order to decelerate the corrosion of metallic structures that are exposed to harsh environment. The first layer (also called as primer) that is adhered to a blast-clean steel substrate contains a large amount of noble metal such as zinc or aluminium [1], [2], [3]. This metal is dispersed in an organic media containing epoxy resin, solvent, hardener and/or pigments. In the case of zinc-rich paint (ZRP), the zinc dust in high concentration provides a conductive path with the steel thereby making the steel cathodically protected. ZRP is a 2-pack paint. It is easy to be applied and cured. The dried paint has good mechanical/chemical resistance and high adhesive strength [4], [5], [6]. The second layer (also called as midcoat) provides an additional protection that is electrically insulating, chemical and solvent resistance (alkalis, most acids, and aqueous salt solutions) [7], [8], [9]. This layer is made of a 2-pack polyamide cured epoxy coating. The last layer (also called as topcoat) is normally made of 2-pack polyurethane (PU) due to its excellent outdoor weathering properties that are abrasion resistant, weather-resistant, temperature resistant and good chemical resistance [1, 10], [11], [12].

In industrial practice, a tender process of (sub)contractors (blasting/painting companies or paint manufacturers) for painting work usually involves the submission of: (1) certificates of conformance of analysis that are related to physical properties, (2) a material safety data sheet for paints; and (3) performance test results for dried coatings from third-party laboratory. Despite having these ‘quality control’ documents and skills improvements, issue pertaining premature failure of protective coatings on off-shore steel structures within the oil and gas industry still persists [13, 14]. Intense price competition among paint manufacturers has led to a decline in the price of protective coatings which encouraged some, at least in the cases in Malaysia, to go for a reformulation or even adulteration after the work contract is awarded. The reformulation of a qualified paint could be the reason behind premature coating failure. As there is no result about Fourier-transform Infrared (FTIR) structural analysis of paints or dried coatings submitted during qualification process, the user has no way to verify the batch-to-batch consistency of paints that are supplied to the job sites.

This prompted the Institute of Materials, Malaysia (IMM) to call for the provision of a Coating Fingerprint Certificate (equivalent to mill certificate for metals) [15] for polymeric paints supplied to the oil and gas companies in addition to existing documents during qualification and after the painting project awarded. A complete Coating Fingerprint Certificate for polymeric paints conducted in-house by the paint manufacturer consists of two parts, namely (1) physical analyses (e.g. viscosity, density, color code, solid content by weight, mass of Zn metal etc.; they are common practices performed during paint manufacturing process) and (2) structural analysis by FTIR combined with high sensitivity compare algorithm to assess the quality and consistency of the paints’ fingerprints. The FTIR spectroscopy equipped with attenuated total reflectance (ATR) accessory has been successfully used for the detection of adulterated artwork paints [16], [17], [18], pigments [19], [20], [21], foods [22, 23] and medicines [24], [25], [26] owing to their fast, reliable and little or no sample preparation features.

The use of mathematical compare algorithm for the rapid monitoring of quality and consistency of a product shows a promising outlook. Previously, Li and co-workers [27] investigated similarity indices of four algorithms (squared correlation coefficient, squared first derivative correlation coefficient, squared Euclidean cosine and squared first derivative Euclidean cosine) for spectral matching. They recommended a squared first derivative correlation coefficient as the most sensitive approach to any changes in the absorption bands and preferred the evaluation of spectra in absorbance mode because of the linear relation with concentration through Beer’s law. Steger and co-workers [28] established a collection of reference spectra with diffuse reflectance infrared Fourier transform spectroscopy as an alternative for Raman spectroscopy failure in fluorescence. This internal database incorporated in OMNIC software was used for precise identification of synthetic organic pigments used for glass paintings. Primpke and co-workers (2020) developed a systematic identification of microplastics in the environment (known as siMPle), which employs the Pearson correlation coefficients between raw, first and second derivatives of a reference and sample spectrum. The main difference between the correlation results from OPUS and siMPle software lies in the data handling for the calculation of first derivative for micro-FTIR microscope equipped with mercury cadmium telluride detector. Simon and co-workers [29] obtained poor similarity index (less than 0.8) when they used Pearson correlation to compare the spectra of UV-exposed paint with non-exposed paint. The reason for low similarity was due to the chemical changes and increased reactivity of the paint binder after UV exposure.

It should be pointed out that the results from numerical compare algorithms (such as similarity index and possible components) does not and cannot reveal the trade secret (e.g. recipe or product formulation) of a paint system that is produced by any paint manufacturers other than those that are already stated in the publicly available material safety data sheet [13, 30, 31]. Nevertheless, these software-incorporated algorithms possess a basic concept that employs all the spectral information (such as band positions, absorbance height, width, and shape of the absorbance bands) into a numerical method in order to compute degree of similarity between sample and Reference spectra [32]. The reliability of different high sensitivity compare algorithm (squared derivative, correlation coefficient, Euclidean distance algorithm etc.) from different FTIR software conducted in the previous studies proved to be statistically indifferent on a condition that a good and standard practices of spectral collection are obeyed [33], [34], [35], [36]. Most of the high sensitivity compare algorithms involve normalization and derivation steps in order to compensate the differences between spectrophotometers and to ensure that the comparison of two spectra follows a common scale [37]. This is important especially during the tender qualification process as the in-house laboratory and independent 3rd-party laboratory may be using different brands of FTIR spectrophotometers. The overall operating procedures of molecular structure analysis for the Coating Fingerprint Certificate are executed according to the illustration shown in Fig. 1.

Fig. 1: 
          FTIR conformity analysis flow chart for tender qualification and subsequently for batch-to-batch consistency for polymeric paint.
Fig. 1:

FTIR conformity analysis flow chart for tender qualification and subsequently for batch-to-batch consistency for polymeric paint.

Some paints are kept in a warehouse before delivery to the job site, which we term as aged paints within their shelf-life. When these paints exceed their shelf-life (i.e. the expired paints), they are usually disposed, recycled or reused depending on the nature of application requirements and regulations in specific countries. The amount of paint to be disposed concerns both paint manufacturers and regulatory bodies due to the issues related to cost, health, and safety. Due to these concerns, there is a new paint recycling law enacted by the government across 11 states in the USA. The law which is based on the report released by Product Stewardship Institute [38] applies only to latex- and oil-based architectural coatings. In addition to that, another study on two paint formulations with new and recycled pigment from waste paint shows promising performance of the later paint with only minor effects on the appearance [39]. In many countries, the expired paints are often portrayed as having a lower performance due to possible changes in the chemical structures during storage [40, 41]. Hence, the aim of this study is to investigate the conformity analysis of paints in different conditions or situations that may take place during the implementation of coating fingerprint certification for instance, (1) paint conditions (fresh, aged and expired) and (2) storage conditions (properly and improperly stored), using ATR-FTIR utilizing high sensitivity compare algorithm. The results are then elucidated statistically along with the performance tests of the dried coatings.

Materials and methods

Sample collection and sample coding

Three different 2-pack maintenance paints [epoxy zinc (EPZ) as primer, epoxy as midcoat and PU as topcoat] were selected in this study. Each 2-pack paint system consists of a base material and its curing agent were kindly provided by PPG performance Coatings (Malaysia) Sdn. Bhd. Around 10 L of each paint sample kept in two 5 L seal-off paint containers was collected from three locations in the paint mixing tank at the paint factory, namely Top, Middle and Bottom immediately after production. Aside from the fresh samples, aged and expired samples were analyzed. Fresh sample denotes a new batch production of paints. Aged and expired samples refer to the retained sample collected from paint warehouse and job site situated in Malaysia where the weather was hot and humid (21–32 °C, 75–95 % average relative humidity) all year round [42, 43]. Two storage conditions were focused for retained paints, where the seal-off paint containers were tightly closed and stored without exposure to heat and sunlight in order to avoid chemical changes in the paint composition. This sample was denoted as properly stored paints. The seal-off paint containers that were exposed to open atmosphere and their lids frequently opened and closed were collected from the job site were denoted as improperly stored paints. Physical appearance of all paints (50 g of paint in 100 mL paint container after transferring from the 5 L paint containers) and their shelf life is shown in Table 1, while the chemical compositions of each paint are given in Table S1. All fresh and retained samples collected in stainless steel cans were stirred well prior to physical, structural and performance tests.

Table 1:

Physical appearance of fresh, aged and expired two-component three-layer maintenance paints.

Coating layer Part (shelf-life/month) Paint condition
Fresh Aged Expired
Primer epoxy zinc (EPZ) A (24)
B (24)
Midcoat epoxy A (12)
B (24)
Topcoat polyurethane (PU) A (36)
B (24)
  1. Left images: properly stored retained paint, right images: improperly stored retained paint collage pictures. Small round images: few drops of paint on the FTIR crystal to show paint discoloration.

The following sample coding, e.g. EPZ4_A_BxT, was used throughout the article. “EPZ” denotes the type of coating layer (EPZ for epoxy zinc paint, Epoxy for epoxy paint and PU for polyurethane paint); “4” refers to the coding of paint manufacturer (i.e. paint manufacturer 4); “A” refers to the type of component (part A or B); “Bx” is the number of x months after batch production of paints (i.e. B15 refers to batch production after 15 months) and “T” represents the sampling location at the paint mixing tank (T for Top, M for Middle and B for Bottom).

Physical tests

Four physical tests such as density, solid content, viscosity and sag resistance were conducted according to ASTM D1475-13 [44], ASTM D2369-10(2019) [45], ASTM D2196-18E1 [46], and ASTM D4400-18 [47], respectively. These tests have indirect correlation to dry film thickness (DFT) of the coated test coupons at 25 °C. Both density and solid content were measured using a weighing balance. During the density measurement, an exact mass of 100 mL paint sample in Pyknometer (TQC Sheen, Rotterdam, Netherlands) was recorded. For solid content measurement however, the mass was recorded before and after solvent evaporation. Meanwhile, viscosity of paint sample was measured at increasing and decreasing speeds (test method B) using selective spindle size of a rotational-type KU-3 Viscometer (Brookfield Engineering Laboratories, Middlebro, USA). The viscosity at low rotational speed was divided with the viscosity at a speed ten times higher. This test correlates with the ability of the coated paint to resist sagging failure due to the force of gravity. Sagging test was conducted on the black and white drawdown cards (193 × 288 mm) with a series of different film thickness parallel stripes using comb sagging gauge (midcoat) or bar applicator (primer and topcoat) and drawdown machine. The drawdown card with several film thickness of paint was placed on a vertical surface with the thickest strip at the bottom.

Structural test

FTIR conformity analysis

FTIR conformity analysis was carried out using Nicolet iS10 (Thermo Scientific, Madison, USA) equipped with ATR diamond crystal window and Nicolet iS5 (Thermo Scientific, Madison, USA) equipped with ATR diamond crystal window. Two spectrophotometers used were labeled as Instrumentin-house (iS10) and Instrument3rd-party (iS5). One drops of polymeric paints was placed onto the ATR crystal until completely covered, no pressure was applied while the spectrum was measured. In reference to the procedures in Standards Malaysia MS2736L2022 [48], the spectra were recorded over the range of 700–4000 cm−1 by averaging 32 scans at a maximum resolution of 4 cm−1. Triplicate analyses were carried out for each sample with a background infrared spectrum every time sample was changed.

Quality control of the FTIR analysis

A total of forty-two polymeric paint samples were tested: 18 fresh and 24 retained (properly and improperly stored) samples. Three fresh samples from each paint were evaluated for its consistency across different locations (Bottom, Middle and Top) in the mixing tank. The average FTIR spectra from Bottom, Middle and Top of each paint were further used to generate a Reference spectrum. The spectra of FTIR were analyzed by OMNIC Software Suite (Thermo Scientific, Madison, USA) at both (i) whole wavenumber region (700–4000 cm−1) and (ii) specific fingerprint region (900–2000 cm−1) without spectral correction. The degree of similarity (r) of the samples was obtained by comparing the spectra of the samples to that of the Reference spectrum using high sensitivity compare incorporated to the FTIR software. This numerical compare algorithm employs squared derivative algorithm which applies an exponential scaling function on both wavenumber and absorbance vectors of the sample and Reference spectra [37, 49]. The r value (0–1) represents the degree of sample spectrum matching to that of the Reference spectrum, where r→1 indicates high degree of similarity. The Reference spectrum was generated by averaging nine spectra (triplicates from Top, Middle and Bottom of the mixing tank) for each paint sample. The acceptance criterion for qualification and batch-to-batch monitoring was set at r ≥ 0.900 ± 0.002, which was outlined based on the considerations of the sample size, types of sample and sampling uncertainties [50], [51], [52].

During a tender qualification (Fig. 1), the end user shall receive a Reference FTIR spectrum that has been cross-validated between in-house laboratory (owned by paint manufacturer) and independent 3rd-party laboratory. Before cross-validation, the r values of individual fresh samples collected by both (a) in-house laboratory and (b) 3rd-party laboratory are estimated by cross-reference to the received Reference spectrum. The acceptance criterion for qualification of the fresh paint sample was determined using eq. 1:

Equation 1  rRef=rRefinhouse×rRef3rdparty0.90(withtolerance±0.1)

 [15]

Equation 1 is defined as the quantity of a product of similar variables that is used predominantly to describe the relationship between two or more observations across specific periods. Quantity rRef, in other words, can be distinguished as the geometric mean of the nth root product of n numbers [53], [54], [55]. For this study, eq. 1 was utilized to determine the degree of similarity of FTIR Reference spectrum from in-house laboratory and 3rd-party laboratory of the same paint. rRefinhouse was estimated for entire wavenumber and specific fingerprint region by referencing in-house Reference spectrum to 3rd-party Reference spectrum and vice versa for estimation of rRef3rdparty. The qualification passed criterion was set at rRef ≥ 0.90, as the r values were reduced to two significant figures after mathematical function (multiplication and square root) [56, 57]. As an example, for the qualification of Epoxy part A Reference spectrum at whole wavenumber region was shown below.

rEpoxy4_A_Refinhouse=0.978
rEpoxy4_A_Ref3rdparty=0.978
rEpoxy4_Ref=rEpoxy4_A_Refinhouse×rEpoxy4_A_Ref3rdparty
rEpoxy4_A_Ref=0.98(r0.90;indicatingPASSandwasqualified)

After the Reference spectrum was qualified, the r values were then estimated for aged and expired samples which were collected from Bottom location of the mixing tank. Paired Student’s t-test was then used to compare the difference between r values estimated for retained paint samples stored in two conditions. The null hypothesis (H0) was created with the assumption that there was no significant difference between the r values of properly and improperly stored retained paint samples while the alternate hypothesis (Ha) showed there was significant difference. The significance level used in this assumption test was p = 0.05. The t-statistic of a given set of data was calculated according to the following equation:

Equation 2     t=DμDsD/n

 [58], [59], [60]

where, sD/n = SE(D) is the standard error of average differences (D), μD is the population mean of different values, n is sample size and sD is the standard deviation of the differences. Null hypothesis was rejected if these two conditions were met: (1) t-statistic > t-critical (t-critical value was extracted from the statistic table using the degree of freedom and pre-selected level of significance); and (2) p-value < significance level used in this study.

Performance tests

Seven carbon steel test coupons were prepared in accordance to specifications set by: (1) paint manufacturer, in which the recommended volume ratio (of 2-pack coating) in their technical product data sheets as shown in Table S1; (2) ASTM standard, in which 2 test coupons were in a dimension of 300 × 150 × 5 mm (ASTM D4541-17) [61] and another 5 test coupons were in a dimension of 150 × 17 × 2 mm (ASTM B117-19) [62]; and (3) end user, in which the dry film thickness (DFT) of the test coupon was 75/150/50 µm for EPZ/Epoxy/PU coating, respectively. After the carbon steel test coupons were blast-cleaned according to Swedish sand blasting standard, Sa 2.5 (BS EN ISO 8504-2:2019) [63], three-coat of paint-based coating (EPZ/Epoxy/PU) were applied individually layer by layer onto the substrate using spray technique as shown in Fig. S1. Before application, the expired paint was checked thoroughly for its appearance and smell. The performance of coated surfaces was evaluated by pull-off adhesion test (also known as dolly test) and salt-spray test in accordance with ASTM 4541-17 and ASTM B117-19, respectively. The adhesion pull-off test and salt-spray test were conducted by ISO 17025 accredited laboratory.

Adhesion pull-off test

Adhesion pull-off test measures the pulling force applied to remove dolly from the coated test coupons or until the coating system fails. Two test coupons were evaluated: before and after salt-spray test. During the pull-off test, five detachable aluminium loading fixtures (dolly) with 20 mm in diameter were glued perpendicularly onto each two test coupons using Araldite Standard (blue). The cohesive and bonding properties of this adhesive were greater than the three-layer coating, to remove the dolly from the test coupons completely. The average DFT for two test coupons used in this test was 349 and 336 µm before and after abrading, respectively. This thickness surpassed the minimum thickness requirement for multi-layer coating set at 200 µm by the end user. A perpendicular force by hydraulic pull-off Elcometer 108 (Elcometer Limited, England, United Kingdom) was exerted to the surface in an effort to remove both the dolly and coating from the test coupons at atmospheric condition (26 °C, 65 % relative humidity).

Salt-spray test

For salt-spray test, one of five test coupons was used as a control while the other four test coupons were placed 30° from the vertical inside a Q-fog chamber (Q-lab, Westlake, USA) containing an atomized salt solution at 35 °C for 2000 h. The salt reservoir was maintained at 5 % (w/v) of NaCl, pH of 6.8 and 1.3 mL/h to ensure uniform fog delivery during the test. Before that, two out of four test coupons were X-scribed manually with a sharp cutter so that it penetrated the protective coating exposing the metallic substrate. The creepage distance (max and min) of the scribed test coupons was measured using a vernier calliper, photographed and classified according to ASTM D1654-08(2016)E1 [64] rating scheme.

Results and discussions

Physical tests

The physical properties of properly stored and individually analyzed paint system in 2-pack three-layer coatings (EPZ, Epoxy, PU; all in part A and part B) are shown in Table 2. Results of density, solid content and sag resistance were in the range of the required specifications. The density of EPZ part A (2.66 g cm−3) is among the highest due to the presence of 60 wt % of zinc dust. In terms of solid content, this paint system has approximately 90 % after solvent evaporation. Epoxy part A which is comprised of high molar mass epoxy also gives high density and solid content values at 2.16 g cm−3 and 86.8 %, respectively. While the paints for primer and midcoat have very close physical properties for part A or part B in the system, topcoat PU has entirely different chemical compositions. The density and solid content for PU part A is 1.29 g cm−3 and 63.6 %, respectively. All the curing agents (part B) of studied paint systems are mainly composed of solvents therefore they exhibit much lower densities.

Table 2:

Physical analyses of paints for the 2-pack three-layer maintenance coating system.

Sample code Density [specificationa] (g cm−3) Solid content by weight [specificationa] (%) Viscosity [specificationa] (mPa·s) Sag resistance [specificationa] (µm)
EPZ4_A 2.66 [2.70 ± 0.05] 90.2 [90.0 ± 1] 6560 [5900 ± 700] 400 [>300]
EPZ4_B 0.96 [0.96 ± 0.01] 54.6 [55.0 ± 1.0] 734 [575 ± 225] 900 [>700]
Epoxy4_A 2.16 [2.14 ± 0.04] 86.8 [88.5 ± 2.5] 6650 [6250 ± 1250] 800 [>600]
Epoxy4_B 0.92 [0.92 ± 0.01] 31 [31 ± 4]
PU4_A 1.29 [1.28 ± 0.01] 63.6 [63.0 ± 1.0] 622 [675 ± 125] 200 [>150]
PU4_B 1.07 [1.07 ± 0.01]
  1. – Not measured. aAcceptance criteria according to paint manufacturer specification.

The sag resistance of EPZ and Epoxy paint systems are higher than that of PU paint system. This is logical given that the viscosities of these paint systems are way higher (almost 10×) than that of PU. The comparison indicates that PU is susceptible to sagging during paint application.

Structural tests

FTIR conformity analysis

The FTIR spectra of all the studied paint systems are illustrated in Fig. 2. All the absorption bands around 700–4000 cm−1 are an accumulation of the different ingredients used to formulate paints. EPZ part A contains primarily C–O–C epoxide (1232 and 1294 cm−1), –C = benzene (745 cm−1) and –OH (3419 cm−1) functional groups. These groups can be assigned to the absorption bands of bisphenol A, xylene and 1-methoxy-2-propanol, respectively. Similar absorption bands can also be observed in the spectra of Epoxy part A. Both EPZ and Epoxy part A contain a common organic binder such as epoxy resin in large quantities (∼10 wt %). The difference between the two lies in the presence of zinc dust. The zinc dust can only be detected using Far IR at 454 cm−1 [65] because it is an inorganic metal. As for the curing agent, both EPZ and Epoxy part B exhibit the absorption bands of C–N (1042 cm−1), –NH (1249 cm−1) and –C= (732 cm−1). These bands can be assigned to 2,4,6-tris(dimethylaminomethyl)phenol, triethylenetetramine and ethyl benzene, respectively.

Fig. 2: 
              Overlay of FTIR spectra for both part A and B of the paints of 2-pack three-layer maintenance coating system. Solid line – properly stored retained paints while dotted line – improperly stored retained paints.
Fig. 2:

Overlay of FTIR spectra for both part A and B of the paints of 2-pack three-layer maintenance coating system. Solid line – properly stored retained paints while dotted line – improperly stored retained paints.

PU part A consists of mainly polyacrylate resin. The absorption bands of this resin are located at 1164 and 1732 cm−1, which can be assigned to –C–COO– and –C=O of n-butyl acetate respectively. PU part B contains active hexamethylene diisocyanate-based polymer, which is exhibited by the absorption bands at 2261 cm−1 (NC=O) and 1735 cm−1 (–NCO). Detailed assignments of FTIR wavenumbers for all paints are tabulated in Table 3.

Table 3:

Wavenumbers and assignments of IR absorbance bands exhibited by EPZ/Epoxy/PU. The wavenumber corresponds to the respective absorbance band is shown in Fig. 2.

Wavenumber (cm−1) Assignment Ref. As observed in figure
732–828 m/s ρ s (–CH2–) of benzene (mono-, di-,tri-) [67] (a), (b), (c), (d)
1164 m v (–C–COO–) of ester [68] (e)
1182 m α (C–O–C) of phenylene [69] (a), (c)
1232–1244 w ν s (C–O–C) of epoxide [69] (a), (c)
1294–1296 w ν as (C–O–C) of epoxide [69] (a), (c)
1371 w ν s (–NCO) of isocyanate [70] (f)
1453 w α (CH) [68] (a), (e)
1468 m δ (CH2) [71] (f)
1508, 1604–1606 m v (C=C) of benzene [72] (a), (c)
1509–1515, 1606–1612 m α (NH3+) of tetramine [70] (b), (d)
1686 s ν s (–CHO) of isocyanate [70] (f)
1732 s v (C=O) of ester [68] (e)
2261 s ν s (NC=O) of isocyanate [70] (f)
2854–2874 m ν s (CH2) [73] (a), (b), (c), (d), (e), (f)
2925–2933 m ν as (CH2) [73] (a), (b), (c), (d), (e), (f)
2960–2966 m ν s (CH3) [73] (a), (b), (c), (d), (e)
3289–3294 w ν s (NH2, NH) of amine [67] (b), (d)
3270, 3386 w ν s (–NCO) of isocyanate [67] (f)
  1. w: weak, m: moderate, s: strong absorbance bands; ν: stretch, νas: asymmetrical stretch, νs: symmetrical stretch, α: bend, δ: scissor/deformation mode, ω: wag, ρ: rock, τ: twist modes.

A general outlook of FTIR spectra for all paint systems with different conditions (fresh, aged and expired) shows that these spectra are quite similar except for the intensity differences between the spectra of properly stored and improperly stored retained paints. As the paint spectrum generally exhibits absorption bands from the resin, any changes occur to the resin will be reflected in the spectrum. The higher absorption bands of atmospheric water vapor (3000–3800 cm−1) is estimated due to the photooxidation of unsaturated groups of the resins, while carbon dioxide (2000–2300 cm−1) is attributed to carbonyl group formation which includes ketones and lactones [29].

The properly stored paints at different aging duration did not show any signs of discoloration, pungent smell (fishy-like), lumpy and grainy bits, while the improperly stored paints show early signs of paint defects. All the improperly stored paints show solvent leakage underneath its containers, probably due to expansion caused by heat. This may eventually affect paint viscosity, more importantly it also affects base material (part A) that contains solid particles. During the sampling of improperly stored paint, a soft “pop” sound was heard and this noise is a result of the air pressure escaping (gassing was formed inside the retained paint containers).

Besides gassing, the solid content of EPZ part A settled down at the bottom of the container and this resulted in lumpy paints and hard to be homogeneously stirred. Other defects include color change (brown-purplish to dark brown) and sharp smell (fishy-like) were exhibited by amine-based curing agents of Epoxy paint. These changes are most likely caused by the chemical changes after absorption of atmospheric carbon dioxide [66]. The reaction of isocyanate-based PU with moisture in the air may also be accelerated when the paint is exposed to humidity, heat and presence of sunlight for a certain period of time. This effect can be identified when there is a formation of gas bubbles during stirring [1].

Quality control of the FTIR analysis

Fresh sample

The distribution of r values across different sampling locations in the mixing tank for different paint systems is illustrated in Fig. 3. Results from in-house laboratory (open markers) show that the r values for all the fresh paint samples in referenced to the respective Reference spectrum are well above 0.900 ± 0.002 for both (i) whole wavenumber region (4000–700 cm−1) and (ii) specific fingerprint region (2000–900 cm−1). This indicates that all paints at Top, Middle and Bottom of the mixing tank were well-stirred. The variation of r values is less than ±0.010 when analyzed in the in-house laboratory. When the samples were sent out for verification in a 3rd-party laboratory (solid markers), the standard deviations are slightly higher (±0.030).

Fig. 3: 
              Estimation of r values against the respective Reference spectrum generated from in-house (open markers) and 3rd-party (solid markers) laboratories for fresh paint samples collected from Top, Middle and Bottom of mixing tank. Blue dash line marks the acceptance criterion set at r = 0.900 with tentative tolerance of ±0.002.
Fig. 3:

Estimation of r values against the respective Reference spectrum generated from in-house (open markers) and 3rd-party (solid markers) laboratories for fresh paint samples collected from Top, Middle and Bottom of mixing tank. Blue dash line marks the acceptance criterion set at r = 0.900 with tentative tolerance of ±0.002.

Qualification between in-house and 3rd-party Reference spectra of different paints is tabulated in Table 4. All the paints pass the qualification test, calculated after eq. 1, with an average rRef of 0.97 ± 0.02 for (i) the whole wavenumber region and (ii) rRef = 0.98 ± 0.01 for specific fingerprint region. These values suggest that the Reference spectra generated by the paint manufacturer in-house laboratory can now be used for other in-house production checks such as routine batch check, retained sample check and on-site sample verification. This geometric mean is suitable for consistency analysis as the generated r value needs to be close to and not lower than 0.80 even if the other one is 0.99 [74].

Table 4:

The mean values of rRef of the qualified FTIR Reference spectrum after eq. 1.

Sample code r R e f i n h o u s e r R e f 3 r d p a r t y r R e f
4000–700 cm−1 2000–900 cm−1 4000–700 cm−1 2000–900 cm−1 4000–700 cm−1 2000–900 cm−1
EPZ4_A 0.940 0.955 0.940 0.955 0.94 0.95
EPZ4_B 0.993 0.994 0.993 0.994 0.99 0.99
Epoxy4_A 0.978 0.980 0.978 0.980 0.98 0.98
Epoxy4_B 0.983 0.984 0.983 0.984 0.98 0.98
PU4_A 0.972 0.996 0.972 0.996 0.97 0.99
PU4_B 0.982 0.976 0.982 0.976 0.98 0.98

In the previous study, good reproducibility for routine batch has been successfully demonstrated through the consistent r values of Epoxy paint that are above 0.900 that was elucidated at three different fingerprint regions in accordance to IMM FP01:2020 (before migrated to MS7236L2022) [13, 75]. For the purpose of simplicity for on-site verification performed by coating inspector, a newly proposed “universal” specific fingerprint region (900–2000 cm−1) has been statistically demonstrated for different paints, either for part A or part B [36]. Therefore, in the continuation to previous study, the retained samples check was conducted with a newly proposed specific fingerprint region in accordance to MS2736L2022 [48] using different paints stored at different condition.

Retained sample

Figure 4 shows the r values of retained paints (aged and expired) that were properly and improperly stored in reference to the qualified fresh paint. The open square marker refers to the properly stored aged and expired samples while the open triangle marker refers to the improperly stored retained paint samples. Result shows that the r values of properly stored aged and expired samples are well above the acceptance criterion at r ≥ 0.900 with tolerance ±0.002 for both (i) whole wavenumber region and (ii) specific fingerprint region. On the contrary, the r values of improperly stored retained paint samples are below the acceptance criterion for both regions. High r values would have been expected since the aged paints are still within the shelf life. This is only true for properly stored aged paints. By duration, the properly stored expired paints unexpectedly show high values of r (r > 0.920) despite exceeding their shelf life of more than 6 months (PU part B), 9 months (PU part A), 12 months (EPZ part B, Epoxy part A) and 24 months (EPZ part A, Epoxy part B). Since all properly stored paints pass the acceptance criterion, these suggest that the retained paints, both aged and expired, have insignificant chemical reactions (such as degradation) when they are properly stored in the warehouse. The accuracy of measurement can be improved by only allowing the paint containers to be opened right before sampling analysis. In terms of data uncertainty, a small deviation of r values (0.001–0.009 for aged paint and 0.001–0.012 for expired paint) can be observed across replications and it is within the tolerance limit of sampling error.

Fig. 4: 
              Estimation of r values against the Reference spectrum generated from in-house for properly stored (square markers) and improperly stored (triangle markers) retained samples. Blue dash line marks the acceptance criterion set at r = 0.900 ± 0.002.
Fig. 4:

Estimation of r values against the Reference spectrum generated from in-house for properly stored (square markers) and improperly stored (triangle markers) retained samples. Blue dash line marks the acceptance criterion set at r = 0.900 ± 0.002.

A paired Student’s t-test was further conducted in order to differentiate a mean population of retained paint sample stored under different conditions. Based on the average difference (D) between the r values of properly and improperly stored shown in Table 5, the calculated t-statistic values for both regions are far above t-critical while the p-values are below 0.05. Both unfulfilled criteria of null hypothesis (H0) (t-statistic < t-critical and p > 0.05) indicate that the alternative hypothesis (Ha) may be accepted, which translates to the r values of properly stored retained paints are significantly difference from improperly stored retained paints. Lower r values with r in the range of 0.744–0.878 are obvious for paints that display physical changes as mentioned earlier. Further tests related to adhesion and salt spray was conducted to investigate the performance if the dried coatings of these expired paints perform equivalently to that of the dried coatings of fresh paints.

Table 5:

The t-statistic of properly stored and improperly stored retained paint samples.

Wavenumber region 4000–700 cm−1 2000–900 cm−1
D (r properly- r improperly) 0.1528 0.1512
S D 0.0600 0.0320
SE(D) = sD/n 0.0173 0.0092
n 12 12
f = n − 1 11 11
t-statistic 8.825 16.357
t-critical 2.201 2.201
p-value 0.00001 0.00001
  1. n is the size of D; f is the degree of freedom [defined by (n − 1) as it only comprises of the mean of one sample]; p represents the level of significance and was defined based on the confidence level from cross-analysis of the r values across different FTIR spectrophotometers and different software.

Performance tests

The standard industrial practice for the detection of non-compliance paint (such as paint defects of the improperly stored paints) at the job sites is that the entire batch of paints will be put in containment. A quality control (QC) inspector from a paint manufacturer and another QC applicator from a blasting and painting company shall conduct an investigation to identify the root cause of the non-compliance. If the non-compliance is confirmed, the paints will be returned to the manufacturer for disposal and no performance tests will be carried out. According to an undisclosed paint manufacturer, there is at least one non-compliance case annually for the on-site paints.

In the context of our study, high r values are obtained for the properly stored retained paints even after months of expiry from the recommended shelf life. Although the r values can tell us that the properly stored retained paints are somewhat similar to the fresh paint, it does not tell us the performance of the paints. For this reason, further tests were conducted.

Adhesion pull-off test

Table 6 shows the area of test coupons after removal of dollies for expired 2-pack three-layer maintenance coating system. The detached area reflects an interface strength between the carbon steel substrate, coatings and adhesive. Comparison was made for the coupons (a) before and (b) after salt spray. When the coating residue on selected test coupons is compared against the paint color shown in Table 1, there are two distinct colors. The dark grey color exhibits primer coating while the light grey color exhibits midcoat layer. Coupon-A1 has light grey coating left at the detached area, which implies that the topcoat was successfully removed along with the dolly. On the contrary, the dark grey coating on Coupon-A2 indicates that both midcoat and topcoat were removed along with the dolly.

Table 6:

Pull-off (dolly) adhesion test on two coupons (-A1: before and -A2: after salt-spray exposure).

Test coupon Detached area on the test coupons after removal of dollies
1 2 3 4 5
Coupon-A1
Coupon-A2

The dry (before salt spray) and recovery (after 2000 h of salt spray) adhesion strength exerted by dollies from the coated test coupons are summarized in Table 7. Average dry pull-off strength of Coupon-A1 is 10 646 ± 1551 kPa. This substantial strength indicates a series of good industrial practices: that the surface of metal substrate had been adequately prepared, each coating layer had been appropriately cured and each paint still possessed good physical properties. High adhesion strength is expected for fresh paint but not for expired paint. The amount of cohesive failure on the affected coating layer (midcoat) is 5 %, with an adhesive failure of 85–90 % between midcoat/topcoat and 5–10 % between primer/midcoat.

Table 7:

Pull-off strength of three-layer expired maintenance coating system.

Test coupon DFTa (µm) Pulled-off strength of dolliesb (kPa) Cohesive failures (%) Adhesive failures (%)
A B C D Y A/B B/C C/D D/Y
Coupon-A1 PASS 13 087 5 5 90
9887 5 5 90
11 225 5 10 85
9839 5 5 90
9205 5 5 90
Coupon-A2 PASS 4261 20 75
4606 25 80
4433 30 70
4923 20 80
3999 25 75
Remarks (>200 μm) (>2069 kPa)
  1. aAcceptance criteria according to paint manufacturer specification. bAcceptance criteria according to PETRONAS specification. A: carbon steel substrate, B: primer (EPZ), C: midcoat (Epoxy), D: topcoat (PU), Y: adhesive.

After exposure to salt solution, the Coupon-A2 has a recovery pull-off strength of 4447 ± 351 kPa. This is lower by almost half the strength of Coupon-A1, which then suggests that the adhesion strength weakens after 2000 h of exposure in the simulated environment. Despite having lower adhesion strength, the strength of sprayed coupons is still above the passing remark (pull-off strength > 2069 kPa). The cohesive failure takes place on the midcoat and it ranges from 20 to 30 %. A large adhesive failure was detected on the primer/midcoat (70–80 %) due to excessive hydration of the substrate – high humidity results in greater cohesive failure rate with lower rate of adhesive effectiveness and durability.

Salt-spray test

Figure 5 shows the photographs of pre-blast surface cleaned test coupons before and after salt spray test. On the unscribed coupons (Coupon-B2 and -B3), there are no coating defects related to blistering, rusting, cracking, flaking, and wrinkling. The coatings on both plates appear to be dull and slightly yellowish when compared to the control Coupon-B1. On the scribed coupons (Coupon-B4 and -B5), the white coating remains intact near the X-cut despite being immersed in corrosive environment for 2000 h. Close visual examination on the coupons reveals that the creepage distance between scribed coupons remains unchanged. There is no expansion on the affected area of protective coatings. This proves that the zinc dust in ZRP (primer) sacrifices itself to protect the metal substrate from corroding. All the test coupons of expired coating system are rated 10 based on the absence of failure site on tested coupons. The unscribed coupon shows barrier corrosion protection by topcoat (PU) while the scribed coupon shows cathodic protection by primer (EPZ). Both the rating outcome and visual observations suggest that the expired coating system could perform within the end user specifications up to at least 8 months of service. Both the rating outcome and visual observations suggest that the expired paints (at least 8 months exceeding the shelf life) could perform within the end user specifications.

Fig. 5: 
              Photographed images of test coupons before (-B1: control) and after (-B2, -B3: scribed and -B4, -B5: unscribed) 2000 h of exposure in corrosive environment.
Fig. 5:

Photographed images of test coupons before (-B1: control) and after (-B2, -B3: scribed and -B4, -B5: unscribed) 2000 h of exposure in corrosive environment.

Conclusion

A 2-pack three-layer maintenance coating system (EPZ/Epoxy/PU) for various conditions (fresh, aged and expired) has been studied. During the production of fresh paints, all the physical tests (density, solid content by weight, viscosity and sag resistance) were in the range of the paint manufacturer’s specifications. When the Reference FTIR spectrum of fresh paints generated in-house is cross-referenced with the Reference spectrum generated by 3rd-party laboratory using geometric mean, they fulfill the acceptance criterion with a small deviation. By using the numerical compare algorithm (high sensitivity compare function with Pearson correlation) incorporated into the software with pre-installed in-house generated Reference spectrum, we found that the properly stored retained paints (aged and expired) have passed the acceptance criterion (r ≥ 0.900 ± 0.002) with high similarity, ranging from 0.910 to 0.997, to the fresh paints and statistically different to the improperly stored retained paints. Furthermore, the 2-pack three-layer expired coating system meets the performance criteria set by the user. The FTIR conformity analysis may serve as a practical and quick verification test for consideration of application if the degree of similarity of the expired paint is high as compared to the fresh paint. This work specifically brings confidence in paints recycling programmes to assist both environmental and paint manufacturers in achieving the sustainable development goals (SDGs) by reducing environmental impact and environmental, social and governance (ESG) by cost saving.


Corresponding author: Norsyazlin Abd Rashid, Faculty of Applied Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia, e-mail:
†Chin Han Chan: Deceased December 2022. Article note: A collection of invited papers based on presentations at the International Polymer Characterization Forum POLY-CHAR 2022, held as an online meeting based in Siegen (Germany), May 22–25 2022.

Funding source: Serba Dinamik Holdings Bhd.

Award Identifier / Grant number: 100-IRMI/PRI 16/6/2 (024/2018)

Acknowledgement

The authors gratefully acknowledge the research funding from Serba Dinamik Holdings Bhd. [100-IRMI/PRI 16/6/2 (024/2018)] for the financial support of the research works. Besides, special thanks go to the Task Force on Coating Fingerprinting Committee of Institute of Materials, Malaysia (IMM) for the coordination of the sample collection from the industry. Dedicated to the memory of most beloved supervisor, Prof. Dr. Chan Chin Han for her guidance and support.

  1. Research funding: This work was funded by Serba Dinamik Holdings Bhd. (100-IRMI/PRI 16/6/2 (024/2018)).

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Supplementary Material

This article contains supplementary material (https://doi.org/10.1515/pac-2022-0901).


Published Online: 2023-02-27
Published in Print: 2023-02-23

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