265 This work is licensed under a Creative Commons Attribution 4.0 International License IHJPAS. 37 (1) 2024 Ibn Al-Haitham Journal for Pure and Applied Sciences Journal homepage: jih.uobaghdad.edu.iq PISSN: 1609-4042, EISSN: 2521-3407 1Muntadhar Mohammed Jabbar* 2Elham Nghaimesh Mezaal 1,2 Department of chemistry, College of Education for Pure Science Ibn Al-Haitham, University of Baghdad, Baghdad, Iraq. *Corresponding Author: muntadhar.jabbar2105m@ihcoedu.uobaghdad.edu.iq Abstract The determination of captopril (CAP) using a new continuous flow injection analysis (CFIA) method was given in this work CAP in its pure state and some of its pharmaceutical preparations. The technique can be described as simple, fast, sensitive, easy to operate, and low- cost. The CAP reacted with ammonium ceric(IV) sulfate (ACS)2(NH4 )2SO4Ce(SO4)2. 3 1 2 H2O in an acidic medium and the reaction led to the formation of a white, slightly yellowish precipitate. The formed precipitate was studied using Ayah 6S×1-ST-2D Solar cell-CFI Analyzer, a through the reflection of accident light on the surfaces of the precipitate particles at (0-1800), expressed as the response of the transducer measured in (mV). Some chemical and physical parameters were studied to provide the optimal conditions for the study. The calibration curve within the range of (0.07-3.0) mmol/L was linear, with a correlation coefficient (r) value equal to (0.9983), and the percentage value of linearity (R2%) was (99.65). The method's detection limit (L.O.D.) of the new method was 272.5 ng/25 µL; it was calculated by diluting the minimum concentration in the calibration curve gradually. RSD% was less than 0.2% for 0.9, 1.5, and 3.0 mmol/L concentrations of C.A.P. for n=8. The method was successfully applied to estimate C.A.P. in three pharmaceutical preparations, each produced by a different company. The new method was compared with the UV-Spectrophotometric method (classical method) at λmax= 207.2 nm by using the method of standard additions. Both the t- test and the F-test were conducted to ensure that there wasn't a significant difference between the new method and the conventional one. The results of both tests showed, at a confidence level of 95%, that there was no significant difference. Keywords: Captopril, Flow injection analysis, Hypertension, Ayah 6S×1-ST-2D solar cell Continuous flow injection analyzer. Received 16 January 2023, Received 20 February 2023, Accepted 27 February 2023, Published 20 January 2024 Fast New Method for Estimation of Captopril in Pure and Pharmaceutical Preparation by Reaction with Ammonium Ce (IV) Sulfate in Acid Medium doi.org/10.30526/37.1.3191 https://creativecommons.org/licenses/by/4.0/ https://jih.uobaghdad.edu.iq/index.php/j/index#1609-4042 https://jih.uobaghdad.edu.iq/index.php/j/index#2521-3407 mailto:muntadhar.jabbar2105m@ihcoedu.uobaghdad.edu.iq https://orcid.org/0000-0003-0023-9866 mailto:muntadhar.jabbar2105m@ihcoedu.uobaghdad.edu.iq https://orcid.org/0009-0009-5781-4850 mailto:elham.n.m@ihcoedu.uobaghdad.edu.iq IHJPAS. 37 (1) 2024 266 1. Introduction Arterial hypertension is one of the most prevalent diseases in the world [1,2] due to many factors, including those related to old age, family medical history, weight gain, stress, psychological stress, excessive salt intake, excessive drinking of alcohol, smoking In addition to other reasons [3,4]. This necessitated the search for effective medications to treat this disease; the first controlled therapy used in the treatment of arterial hypertension was captopril [5]. Pure captopril appears as a white crystalline powder with a slight sulfur odor [6], chemically named-[(2S)-3-mercapto-2- methylpropionyl]-L-proline [7,8], its chemical formula C9H15NO3S (M.Wt=217.29 g/mol), the molecular structure of CAP is shown in Figure 1 [8,9], it dissolves easily in water and has solubility as well in methanol and ethanol [10]. Captopril is a preferred treatment for many doctors due to its therapeutic benefits, efficacy, and low commercial price [11]. It’s mainly used for the treatment of arterial hypertension, heart failure [12-14], diabetic nephropathy [15], and some other diseases resulting from heart failure [16]; it’s widely used by geriatric patients who suffer from these diseases [17]. Captopril may cause side effects such as coughing [18]. Captopril has been quantified by more than one analytical method, including spectrophotometry [19-22], flow injection methods [23-28], RP-HPLC [29,30], and HPLC [31-33]. Some of these methods are not simple for routine analysis, requiring expensive or complex tools. Analytical systems by flow injection are more suitable for everyday use in quality control laboratories for the production of pharmaceutical preparations due to their simplicity of work, speed, sensitivity, and less consumption of reagents, sample samples, and other chemicals when compared to other methods of chemical analysis. This study describes a simple, sensitive, fast, low-contamination, easy-to-operate analytical method for determining CAP within the continuous flow injection analysis (CFIA) technique [34-40]. Captopril was estimated after its interaction with ammonium by studying the precipitate formed as a result of the oxidation of CAP in an acidic medium using homemade Ayah 6SX1-ST-2D solar cell CFI analyzer [41], which was used in previous studies for the determination of some drugs [42-47]. 2. Materials and Methods 2.1 Reagents and chemicals In this study, all chemicals of the analytical class were used, and the preparation was done using distilled water as a solvent. A stock solution of Captopril (C9H15NO3S, M.Wt 217.29 g/mol, SDI, 10 mmol/L) the preparation was done by dissolving 0.21729 g in 100 mL distilled water. A stock solution (20 mmol/L) of ammonium ceric sulfate 2(NH4)2SO4 Ce(SO4)2.31/2 H2O (M.Wt 659.62 g/mol, Hopkin & Williams) preparation was done by dissolving 6.5962 g in 500 mL of distilled water. A 100 mmol/L from each of the following acids (supplied from BDH) sulfuric acid solution Figure 1. Molecular structure of captopril IHJPAS. 37 (1) 2024 267 (98% w/w, 1.84 g/mL), hydrochloric acid solution (35% w/w, 1.19 g/ml), nitric acid solution (70% w/w, 1.42 g/mL), acetic acid solution (99.5% w/w, 1.05 g/mL). (100mmol/L) from each of the following salts (supplied from BDH): NaCl (M.Wt 58.44 g/mol, BDH), NaNO2(M.Wt 68.9953 g/mol, BDH), NaNO3 (M.Wt 84.9947 g/mol, BDH), NH4Cl (M.Wt 53.491 g/mol, BDH), Na2CO3 (M.Wt 105.99 g/mol, BDH). 2.2 Sample preparation Twenty tablets of each pharmaceutical preparation were crushed using a ceramic mortar and sieved through a 200-mesh sieve. Each of the drugs containing (25 mg) CAP (provided by SDI-Iraq, Pioneer Pharmaceutical-Iraq, and Medochemi-Cyprus) weighed (1.2186, 0.9447, and 1.1612) g, respectively. According to the proportional relationship for each preparation, each of the weights above is equivalent to (0.21729 g) of the active substance to obtain a solution with a concentration of (10 mmol/L) of each pharmaceutical preparation. With continuous stirring, the powder was dissolved in distilled water. After the dissolution, the volume was completed to (100 mL) with distilled water. Then, the prepared solution was filtered to eliminate any undissolved material that may affect the result. 2.3 Apparatus The apparatus used in the new method for CAP determination consists of a two-channel variable speed peristaltic pump (Supplied from Ismatec, Switzerland) and a six-hole medium-pressure injection valve (Supplied from IDEX corporation, U.S.A.) with a sample loop (0.7 mm i.d. Teflon, different length). Ayah 6S×1-T-2D Solar cell CFI analyzer (Homemade) The response was measured by it; three pairs (6) snow white LEDs are used as the beam source in the flow cell where the path length 2 mm, as a detector to collect signals via a 60 mm travel-sample, two solar cells were used. The response is output in the form of peaks through the x-t potentiometric recorder (Kompenso Graph C-1032, supplied from Siemens-Germany) (1-500 volt, 1-500 mV), the flow diagram for the determination of CAP is shown in Figure 2. For measurements, the UV- Spectrophotometric method used a UV-Vis spectrophotometer (Shimadzu double beam. In this device, the wavelength scanning range was 190-1100 nm, and the 1 mL measuring cell was made of quartz, model UV-1800 Kyoto-Japan). Two lines make up the manifold flow system in Figure 2 for determining CAP by direct oxidation in an acidic medium with ACS, where a slightly yellowish precipitate was formed. The first line provided nitric acid (200 mmol/L), which is a carrier stream at (1.5 mL/min) connected to the injection valve for hold CAP (used sample volume 25 µL), the second line carried ACS Figure 2. Flow diagram for the system used to determine captopril IHJPAS. 37 (1) 2024 268 (10 mmol/L) at 1.5 mL/min. The second line meets the first line (which the CAP solution is injected into) at the Y-Junction, and reaction products outlet from it to pass through the Ayah 6S×1-ST-2D Solar cell CFI analyzer. Each solution was injected three times in succession. An x- t potentiometric recorder was used to capture the response diagram, where the responses appeared in the form of peaks expressing the transducer's response and the peak height representing the amount of light reflected after it fell on the surface of the sediment particles in the flow cell. A proposed CAP oxidation mechanism by ACS in an acidic reaction medium is present in Sketch 1 [16,17,48]. 3. Results and Discussion The concentration of the ACS reagent, the selection of the type of reaction medium (carrier stream), and the concentration of the optimal medium (nitric acid) were mainly studied to determine some of the optimal chemical parameters. Meanwhile, the flow rate and sample volume were studied to resolve some optimal physical parameters. By making it constant and variable each time these variables were optimized. 3.1 Chemical variables 3.1.1 Effect of ACS concentration A series of concentrations of ACS (1-20) mmol/L was prepared. A 2 mmol/L of CAP was injected using a sample volume of 25µl and distilled water as carrier stream; 2.3 ml/min was the flow rate for each of the reagent lines and carrier streamline. All measurement was refined three times. The response outline for this experience is shown in Figure 3A, and Figure 3B shows the effect of ACS concentration on the peak rise average of the response’s transducer. The results were compacted in Table 1. The results found that the highest response appeared at the concentration of (10 mmol/L), so it was determined as an optimal concentration of the reagent. Figure 3 shows the outline of the result using Ayah 6S×1-ST-2D Solar cell-CFI analyzer; the responses of white precipitate increase ascendingly with a rise in concentration of ACS until reaching a concentration of 10 mmol/L, then the reaction begins to gradually decrease after this concentration (˃ 10 mmol/L) of ACS; this may be attributed to increasing in the amount of sediment, which causes slow movement of its particles and an increase in the aggregation of those particles, mainly causing accumulation of precipitate particles in front of the detector which in turn to a decrease in reflecting surface, this results in a reduction of peak height. From Figure 3A, it is clear that the peak of response was higher and the width of the baseless, so the concentration of 10 mmol/L was chosen for the subsequent experiments as the optimal concentration of the reagent (ACS). Figure 3B shows ACS concentrations on the transducer response peak rise rate in (mV). Sketch 1. The suggested mechanism of the CAP and ACS reaction in acidic medium IHJPAS. 37 (1) 2024 269 Table1. Synopsis of the results of effect of the concentration of ACS reagent on the responses average of the transducer 3.1.2 Effect of different medium To determine the optimal reaction medium between CAP (2 mmol/L) with ACS (10 mmol/L), different solutions were used as carrier current (CH3COOH, HCl, HNO3, H2SO4, NaCl, NH4Cl, NaNO2, NaNO3, Na2CO3). At a concentration of 0.1 mol/L and in the aqueous medium. It was observed in the study that the response plot over time in this experiment showed variation in the intensity of the S/N response (variation in the height of the peaks). The plot also showed that the highest response was when nitric acid was used as the reaction medium (carrier current). This may be due to the small and uniform size of the deposited particles, in other words, the increased reflective surface area. Therefore, the medium HNO3 solution was used as the carrier current in the following experiments. The responses that demonstrated this are shown in Figure 5A. Figure 5B Schematic showing the effect of medium change on the average response of the transducer. Table 2 summarizes the results of the impact of the type of medium. [ACS] mmol/L Response average �̅�𝐢(mV)for (n=3) R S D % Interval of confidence at (95%),n-1 �̅�i±t0.05/2,n-1 𝝈𝒏−𝟏 √𝒏 1 8 0.2051 8 ∓ 0.0407 3 52 0.2001 52 ∓ 0.2586 5 100 0.2212 100 ∓ 0.5495 8 112 0.2301 112 ∓ 0.6402 10 184 0.2312 184 ∓ 1.0568 13 160 0.2340 160 ∓ 0.9301 15 144 0.2190 144 ∓ 0.7834 20 128 0.2132 128 ∓ 0.6779 Figure 3. ACS concentration’s effect on : A: response outline versus time. B: Peak rise rate of transducer response in (mV) [ACS] mmol/L R e sp o n se a v e r a g e𝐘 𝐢( 𝐦 𝐕 ) (n = 3 ) Optimum conc. of ACS 0 5 10 15 20 0 20 40 60 80 100 120 140 160 180 200 (B) Y̅i(mV)(S/N) response of an energy transducer in (mV) for n=3,ttab0.05/2,2=4.303.R.S.D%:relative standard deviation, σn-1:standard deviation, n: the number of repetitions of the measurement, Interval of confidence: A range of values above and below the point estimate within which the true value in the population is likely to lie with 95%. t(min)d(cm) Y ( m V ) (A) [ACS] mmol/L IHJPAS. 37 (1) 2024 270 Table 2. A synopsis of the effects of several medium types on the transducer's average responses 3.1.3 Effect of HNO3 concentration Using CAP (2 mmol/L)-ACS(10 mmol/L) system within the range (20-240 mmol/L) a series of solutions of nitric acid were prepared; the sample volume was (25 µL) at a flow rate (of 1.5 mL/min) for both of the first lines (carrier stream) with the second line (reagent). Figure 4A shows the effect of HNO3 concentration on the responses in the response outline, and Figure 4B shows the effect of HNO3 concentration change on the peak rise rate of the transducer response. Experiment results are compacted in Table 2. It was observed through the increased intensity of the reactions shown in Figure 5A. (20 mmol/L) from HNO3 it was the first solution to be measured, and what is observed in Figure 5B is that the response increases by increasing the concentration until reaching concentration (200 mmol/L), which indicates that the acid was necessary because of its effect stimulating the reaction, the complete dissolution of the ACS salt and to ensure complete homogeneity. The concentration (200 mmol/L) gave the peak's highest response and the lowest width. Therefore, the concentration (200 mmol/L) of HNO3 was selected as the optimal concentration for the optimum carrier stream in the subsequent experiments. [Medium type] mmol/L Response average �̅�i(mV)for (n=3) R S D % Interval of confidence at (95%),n-1 �̅�i±t0.05/2,n-1 𝝈𝒏−𝟏 √𝒏 H2O 184 0.2312 184 ∓ 1.0568 CH3COOH 100 0.2100 100 ∓ 0.5217 HCl 384 0.2200 384 ∓ 2.0987 HNO3 476 0.2016 476 ∓ 2.3849 H2SO4 104 0.2001 104 ∓ 0.51699 NaCl 108 0.2200 108 ∓ 0.5903 Na2CO3 16 0.2100 16 ∓ 0.0835 NaNO3 108 0.2100 108 ∓ 0.5680 NaNO2 20 0.2000 20 ∓ 0.0994 NH4Cl 108 0.2201 108 ∓ 0.5905 (B) The optimum medium R e sp o n se a v e r a g e𝐘 𝐢( 𝐦 𝐕 ) (n = 3 ) (A) Figure 4A. Response outline versus time explain the effect of different media. B:A graphical diagram showing the effect of medium change on the response average of a transducer IHJPAS. 37 (1) 2024 271 Table 3. Synopsis of the results of responses to effect of HNO3 concentration on the responses average of the transducer 3.2 Physical variables 3.2.1 Flow rate The optimal flow rate was studied within the range (1.0- 2.5) mL/min for both line (carrier streamline) and line 2 (reagent line); a peristaltic pump was used to control the flow rate for determination of CAP at (2 mmol/L). The study was carried out by fixing the other parameters (i.e., 10 mmol/L from ACS, 0.2 mmol/L from HNO3 as the best carrier stream, sample volume was 25 µL, and open valve (10 sec). The results of the experiment were compacted in Table 4. A slow flow rate (1 mL/min) was shown to generate an increase in dilution and dispersion, which may have led to the rise in the base width of the response ∆tB, While the flow rates higher than (1.5 mL/min) showed a gradual decrease in the response with irregularity in the peaks of some responses, this may be attributed to the fact that at high speed the sample retention time with the detector is reduced. It is the least possible. This leads to a decrease in the amount of light reflected towards the sensor, which reduces the intensity of the response. Figure 6A shows a plot of the transducer response against time. Figure 6B shows the effect of changing flow rate on the rate of peak rise of the transducer response, base width, and arrival time to the measuring flow cell. It was found from the two charts that the highest response was recorded at the pump speed 10 (1.5 mL/min), so it was chosen as the optimal speed in the subsequent experiments. [HNO3] mmol/L Response average �̅�𝐢(mV)for (n=3) R S D % Interval of confidence at (95%),n-1 �̅�i∓t0.05/2σn-1/√𝐧 20 68 0.2941 68 ∓0.4968 60 292 0.2911 292 ∓ 2.1116 100 476 0.2016 476 ∓ 2.3849 140 496 0.1411 496 ∓ 1.7390 200 696 0.1408 696 ∓ 2.4346 240 500 0.1760 500 ∓ 2.1862 Figure 5. HNO3 concentration's effect on: A: response shape against time . B: Peak rise rate of transducer response in (mV) (B) R e sp o n se a v e r a g e𝐘 𝐢( 𝐦 𝐕 ) (n = 3 ) 0 50 100 150 200 250 0 100 200 300 400 500 600 700 [HNO3] mmol/L Optimum conc. of HNO3 (A) Y (m V ) t (min) d (cm) IHJPAS. 37 (1) 2024 272 Table 4. An synopsis of the findings showing how changing flow rate affected the transducers' average responses pump speed Flow rate (ml/min) both two lines Response average �̅�i(mV) (n=3) R S D% Interval of confidence at 95% �̅�i±t0.05/2. 𝝈𝒏−𝟏 √𝒏 t (sec) Base width ∆tB (sec) Vadd (ml) In flow cell Conc. (mmol/L) In flow cell Df 5 1.0 2000 0.1050 2000∓ 5.2171 66 162 5.4250 0.0092 217.3913 10 1.5 1620 0.1111 1620 ∓ 4.4718 18 90 4.5250 0.0110 181.8181 15 1.8 1340 0.1044 1340 ∓ 3.4780 15 72 4.3450 0.0115 173.9130 20 2.0 920 0.1195 920 ∓ 2.7327 12 54 3.6250 0.0138 144.9257 25 2.3 696 0.1408 696 ∓ 2.4346 9 42 3.2450 0.0154 129.8701 30 2.5 240 0.1041 240 ∓ 0.6210 6 36 3.0250 0.0165 121.2121 3.2.2 Sample volume With the use of optimum flow rate (1.5 mL/min) for both the carrier stream with ACS reagent line, CAP (2 mmol/L)-ACS (10 mmol/L)-HNO3 (200 mmol/L) system. Various volumes of injected sample were used within the range (20-100) µL, open valve 10 sec. It was observed through the transducer's responses outline against time there was an apparent increase in the intensity of the reaction at sample volume 25 µL, as shown in Figure 7A, B where the highest peak appeared. A synopsis of the results of the experiment is shown in Table 5. Increasing the sample volume (to more than 25 µL) might lengthen the sample piece's exposure to the detector. This would likely result in an irregular flow of two factors, dispersion, and convection, allowing the convective current to continue and causing the precipitating particles to migrate backward. If the reflective surface weren't damaged somehow, it would still be able to reflect the light from the incident source. According to this potential explanation, the response peak height would be smaller, and the peak profile would be broad. Figure 7A shows a plot of the transducer response against time. At the same time, Figure 7B shows the effect of changing sample volume on the rate of peak rise of the transducer response, base width, and arrival time to the measuring flow cell. It was found from the two charts that the highest response was recorded at the sample volume of 25 µL, so it was chosen as the optimal sample volume in the subsequent experiments. Figure 6. Flow rate’s effect on: A: response outline against time . B: Peak rise rate of transducer response in (mV) and base width (A) (B) t: Time arrival estimated from the injection valve to the measurement cell (sec),∆t: Base width of peak(sec), Vadd: Addition volume(ml)in flow cell, Df: Dilution factor in flow cell. IHJPAS. 37 (1) 2024 273 Table 5. Synopsis of the results of the effect of the difference in the sample volume on the average of transducer’s responses Sample volume (µl) Response average �̅�i(mV) (n=3) R S D % Interval of confidence at (95%), n-1 �̅�i±t0.05/2. 𝝈𝒏−𝟏 √𝒏 t (Sec) Base width ∆tB (Sec) Vadd (ml) In flow cell Conc. (mmol/L) In flow cell Df 20 920 0.1108 920 ∓ 2.5340 12 84 4.4000 0.0090 222.222 25 1620 0.1111 1620 ∓ 4.4718 18 90 4.5250 0.0110 181.8181 50 1440 0.1138 1440 ∓ 4.0743 21 93 4.7000 0.0212 94.3369 75 1420 0.1140 1420 ∓ 4.0246 27 105 5.3250 0.0281 71.1743 100 1300 0.1230 1300 ∓ 3.9749 30 120 6.1000 0.0327 61.1620 3.3 Calibration curve (scatter plot) for variance of CAP concentration against transducer response The optimal chemical and physical parameters were adopted to prepare a series of CAP solutions within the range (0.07-10) mmol/L, the measurement was repeated for each concentration three successive times. Responses are shown as in Figure 8A which shows the response range and peak height for each concentration of CAP. As shown in Figure 8B the linear calibration was within the range (0.07-3) mmol/L, accompanied by a correlation coefficient (r)= 0.9983. The obtained results show the linear regression of the change of transducer response against the change of CAP concentration as in Table 6, the equation that was used in this part of the study was ŷ = a + bx [49] (First degree equation). The value of t was calculated at a confidence level (95%) , which was greater than the value of the tabular t, which leads us to say that linearity versus nonlinearity is acceptable. (A) A r r iv a l ti m e to t h e m e a su r in g f lo w c el l (s ec ) B a se w id th ∆ tB (s e c ) 20 40 60 80 100 900 1000 1100 1200 1300 1400 1500 1600 1700 Response average (mV) Base width ∆tB (sec) Arrival time to the measuring flow cell (sec) 80 85 90 95 100 105 110 115 120 125 10 12 14 16 18 20 22 24 26 28 30 32 R e sp o n se a v e r a g e𝐘 ത 𝐢( 𝐦 𝐕 ) (n = 3 ) Sample volume (µl) (B) t: Time arrival estimated from the injection valve to the measurement cell (sec), ∆t: Base breadth of peak(sec), Vadd: Addition volume(ml)in flow cell, Df: Dilution factor in flow cell. Figure 7. Sample volume’s effect on: A:Outline’s response against time . B: Peak rise rate of transducer response in (mV) and base breadth IHJPAS. 37 (1) 2024 274 Table 6. Synopsis of results the transducer response average against changing CAP concentration using first degree equation 3.4 Limit of detection (L.O.D) The method's detection limit is the minimum concentration that the device can sense. A study determined the CAP detection limit through three methods: practically based on diluting to the minimum concentration gradually, theoretically based on the slope value, use, and on the base of the linear equation, as shown in Table 7 at optimum parameters. Type of mode Range of [CAP] mmol/L 𝐘(mV) =a ±Sa.t+b±Sb.t[CAP]mmol/L at 95%.n-2 r r2 R2% ttab at 95%, n-2 tcal= |𝐫|√𝒏−𝟐 √ 𝟏−𝐫 𝟐 Scatter plot 0.07-10 (n=19) 629.1921±310.3027 + 243.3006 ± 93.4715[CAP] 0.7996 0.6395 63.95 2.110<5.4910 Linear range 0.07-3 (n=16) 45.8635±37.3236+748.8995±25.0941[CAP] 0.9983 0.9966 99.66 2.145<<63.1962 Figure 8A. A calibration curve shows the effect of CAP concentration change against time on transducer response (for some responses) Figure 8B. Scatter and linear plot of the new method expresses the transducer response against conc. by linear equation n:number of measurement ,Ŷ(mV):estimated value of cell in(mV) , r:Correlation coefficient, r2:Coefficient of determination, R2%:Explained variation as a percentage / total variation, ttab=t0.05/2,n-2 (A) 𝐘 𝐢( 𝐦 𝐕 )( n = 3 ) s u cc es si v e m ea su re m en ts (B) IHJPAS. 37 (1) 2024 275 Table 7. Method’s detection limit value for CAP Practically based on the progressive dilution for the minimal concentration (0.07)mmol/L Theoretical in accordance with the slope value X=3SB/Slope , n=16 Based of linear equation 𝐘=Yb + 3Sb 272.5 ng /25µL 6.5277 ng /25µL 877.5 ng /25µL 3.5 Repeatability Equivalent percentage equivalent to the test-retest measurement reliability expresses the relative standard deviation. The responses were re-measured for each concentration through eight consecutive injections for three stable CAP concentrations (0.9, 1.5, and 3.0) mmol/L in optimum conditions for n=8. The response profile is shown in Figure 9. Table 8 displays that the relative standard deviation as a percentage was less than 0.2%, making it abundantly evident that the suggested approach and instrument were suitable for determining CAP. Table 8. Synopsis of results for repeatability of CAP at optimal parameters 3.6 UV-Spectrophotometric method (Classical method) To evaluate the new method (CFIA), a comparison was made between it and one of the analytical methods, specifically the UV spectrophotometry method based on absorption value measurements. The concentration extent of the method was (0.002-0.150) mmol/L at λmax= 207.2 nm (at 0.028 mmol/L) Figure 10 using quartz cell. Figure 11 shows the scatter plot was from (0.002-0.150) mmol/L while the linear range was (0.002-0.09) mmol/L. Correlation coefficient (r)= 0.9995 and R2%=99.90, n=18 (n= number of measurements). L.O.D. was 217.29 ng/1000 μL, calculated by gradual dilution to the lowest concentration in the calibration curve (0.002 mmol/L). The summary of the method results is in Table 9. [CAP] mmol/L Response average �̅�i(mV)for (n=8) R S D % Interval of confidence at 95% �̅�i±t0.05/2,n-1. 𝝈𝒏−𝟏 √𝒏 0.9 760 0.1052 760± 0.6689 1.5 1140 0.1052 1140 ± 1.0033 3.0 2240 0.1026 2240 ±1.9231 X= limit of detection value , SB=standard deviation value of blank refined for 16 times, Yb: average response for blank=intercept(a), Sb: Standard deviation equal to Sy/x(residual) from linear range ,Ŷ:estimated response (mV). Figure 9. Response versus time outline for eight consecutive repeated measurements of CAP concentration (0.9,1.5,3.0) mmol/L ttab0.05/2,7=2.365, n: the number of repetitions of the measurement IHJPAS. 37 (1) 2024 276 Table 9. Synopsis of linear regression for the determination of CAP using UV-Spectrophotometric method (classical method) n:number of measurement ,Ŷ(mV):estimated value without unite on spectrophotometric , r:Correlation coefficient, r2:Coefficient of determination, R2%:Explained variation as a percentage / total variation, ttab=t0.05/2,n-2, L.O.D.: Limit of detection. 3.7 The CAP-ACS-HNO3 system evaluation for the CFIA method (new method) for determining captopril in pharmaceutical preparations To evaluate the efficiency of the new method, which was made using Ayah 6S×1-ST-2D Solar cell CFI analyzer (homemade), to determine CAP in pharmaceutical preparations. Five solutions were prepared for each drug for samples from three different companies for the production of pharmaceutical preparations (SDI-Iraq, Pioneer-Iraq, and Medochemi-Cyprus), where comparison was made with the UV-Spectrophotometric method(classical method) after applying the method of standard additions to both the two methods are as follows: For the new method: five volumetric flasks of (10 mL) were prepared and (1.0 mL from 10 mmol/L) was transferred into each of them, after which different volumes of the captopril’s standard solution were gradually added (S.D.I.-Iraq) (0.0, 0.5, 1.0, 1.5, 2.0) mL of (10 mmol/L) to gain (0.0, 0.5, 1.0, 1.5, 2.0) mmol/L. For the classical method: five volumetric flask of (10 mL) were prepared and (0.5 mL from 1.0 mmol/L) was transferred into each of them, after which different volumes of captopril’s standard solution were gradually added (S.D.I.-Iraq) (0.0, 0.1, 0.2, 0.3, 0.4) mL of (1.0 mmol/L) to gain (0.0, 0.01, 0.02, 0.03, 0.04) mmol/L. Flask number 1 is a sample. Measurements were made for both methods. The results obtained from the standard addition method were treated statistically. The results are summarized in Table 10A and B at a confidence level (95%). To determine whether Type of mode Extent in calibration curve n linear regressive at Interval of confidence 95%,n-2 𝐘=a±Sa.t+b(∆y/∆xmmol/L)±bt [CAP]mmol/L r r2 R2% ttab at 95% ,n- 2 tcal= |𝐫|√𝒏−𝟐 √𝟏−𝐫𝟐 L.O.D. Scatter plot 0.002-0.150 22 0.0639±0.0750+4.5582±1.1779[CAP] 0.8746 0.7650 76.50 2.086<8.0695 Linear plot 0.002-0.09 18 0.0052±0.0048 +6.6818±0.1185[CAP] 0.9995 0.9990 99.90 2.120 << 126.5189 217.29 ng/1000µ Figure 11. Scatter plot at (0.002-0.15) mmol/L, n=22 for CAP using classical method at 207.2 nm, in addition to linear range at (0.002-0.09)mmol/L for n=18 Figure11. Scatter plot at (0.002-0.15)mmol/L, n=22 for CAP using classical method at 207.2 nm, in addition to linear range at (0.002-0.09)mmol/L for n=18. Figure 10. Absorbance of UV-Spectrum of CAP at concentration 0.028 mmol/L that shows λmax=207.2 nm Type of mode Extent in calibration curve n linear regressive at Interval of confidence 95%,n-2 𝐘=a±Sa.t+b(∆y/∆xmmol/L)±bt [CAP]mmol/L r r2 R2% ttab at 95% ,n-2 tcal= |𝐫|√𝒏−𝟐 √𝟏−𝐫𝟐 L.O.D. Scatter plot 0.002-0.150 22 0.0639±0.0750+4.5582±1.1779[CAP] 0.8746 0.7650 76.50 2.086<8.0695 Linear plot 0.002-0.09 18 0.0052±0.0048 +6.6818±0.1185[CAP] 0.9995 0.9990 99.90 2.120 << 126.5189 217.29 ng/1000µ concentration 0.028 mmol/L that shows λmax=207.2nm IHJPAS. 37 (1) 2024 277 there is a significant difference, the t-test and the F-test were performed, and the results were processed statistically [49]. The results of the t-test and F-test were summarized in Table 10B (columns 4 and 5). Results showed there was no significant difference between the new method and the classical method at 95% of the level of confidence. A t-calculated (-1.373) is less than the t-tabular (4.303), as well as the calculated F-value (8.7064) is less than the tabular F-value (39) [50]. Figure 12 is a graphical chart showing how changing the CAP concentration (using the standard addition method) affects the S/N transducer’s response against time. Table 10A. Synopsis of results standard addition in three pharmaceutical preparations for new method and classical method. Ŷ: Estimated response in (mV) for the new method and the UV-Sp.method absorbance value, r: correlation coefficient, R2%: variance explained in percentage /total variation, UV-Sp. :UV-Spectrophotometric method, ѿi : Practical weight in( mg), ttab= t0.05/2,∞ =1.960 at 95%,ttab= t0.05/2,3= 3.182 for n=5,using volume of cell (quartz) 1 mL in UV-Spectrophotometric method. N o . o f sa m p le C o m m er ci al n am e C o m p an y C o n te n t C o u n tr y Type of method New method UV-Sp. Method absorbance measurements at λmax= 207.2 nm Confidence interval for the Weight of Tablet ѿ i ± 1.96σn-1/√n at 95% (g) Weight of the sample is equivalent to 0.21729 (g) (10 mmol /L) of the active ingredient Wi (g) Theoretical content for the active ingredient at 95% (mg) Wi ±1.96σn- 1/√n Captopril Standard addition equation at 95% for n-2 r r2 R2% 0 mL 0.5 mL 1.0 mL 1.5 mL 2.0 mL Ŷ (mV) =a mV ±Sa.t+ b(Δ y mV /Δxmmol/)b.t [Captopril]mmol/L 0 mmol /L 0.5 mmol /L 1.0 mmol /L 1.5 mmol /L 2.0 mmol /L 0 mL 0.1 mL 0.2 mL 0.3 mL 0.4 mL Ŷ =a± Sa.t +b (Δ y / Δx mmol/L )±Sb .t [Captopril] mmol/L 0 mmol /L 0.01 mmol /L 0.02 mmol /L 0.03 mmol /L 0.04 mmol /L 1 C ap to sa m S .D .I 2 5 m g Ir aq 0.14021±0.0 010 1.2186 25±0.1930 790 mV 1100 mV 1590 mV 1910 mV 2230 mV 752 ±66.5941+758±54.3740[ CAP]mmol/L 0.9992 0.9984 99.84 0.342 0.412 0.478 0.540 0.613 0.343 ±0.0070+6.700±0.2959 [CAP]mmol/L 0.9996 0.9994 99.94 2 C ap to n ee r P io n ee r 2 5 m g Ir aq 0.1087±0.00 07 0.9447 25±0.1769 750 mV 1050 mV 1550 mV 1900 mV 2220 mV 736±137.3058+758±112.1098 [ CAP ]mmol/L 0.9967 0.9935 99.35 0.324 0.401 0.450 0.520 0.602 0.3244±0.0235+6.7500±0.9660[ CAP ]mmol/L 0.9969 0.9939 99.39 3 R il ca p to o L im as so l 2 5 m g C y p ru s( E U ) 0.1336±0.00 03 1.1612 25±0.06831 780 mV 1110 mV 1585 mV 1915 mV 2235 mV 760±70.6874+761±57.7160 [CAP]mmol/L 0.9991 0.9982 99.82 0.360 0.440 0.501 0.570 0.645 0.3632±0.0120+7.0000±0.5024 CAP ]mmol/L 0.9991 0.9984 99.84 Figure 12. Effect of variation of captopril concentration (using standard addition method) on S/N energy transducer response versus time(min),distains (cm) for three sample drugs using Ayah 6S×1-ST-2D solar cell CFI analyser . 1-Iraq, Captosam, S.D.I., 2-Iraq, Captoneer, Pioneer, 3-Cyprus, Rilcaptoo. Limassol IHJPAS. 37 (1) 2024 278 Table 10B. Synopsis of practical content results ,percentage recovery (Rec.%) for CAP determination in three pharmaceutical preparations, t-test and F-test X̅d : Comparing two types of methods, on average (new & classical) ,n(no. of sample)=3,σn-1:standard deviation of different (paired t-test), ttab=t0.05/2,2=4.303 (for paired t-test), Ftab= F 0.95,V1,V2= F 0.95,2,2=39, σ**n-1 : standard deviation for new method, σ*n-1 standard deviation for classical method ( F-test),S2 1(CFIA):Variation of new method, S2 2(UV-Sp.):Variation of classical method. UV–Sp.: UV–Spectrophotometric method . 4. Conclusion The method presented in this work is simple, sensitive, fast and meets part of the requirements of green chemistry. It has been successfully applied for the determination of CAP in pure and pharmaceutical preparations based on the reaction of CAP with ACS in acidic media. An alternative analytical method for estimating CAP was reached through this study, which was conducted under simple conditions and parameters using Ayah 6SX1-ST-2D solar cell CFI analyzer . Acknowledgment After the completion of the study, the authors extend their thanks and appreciation to (S.D.I.) for providing the pure sample of the drug for free to the Department of Chemistry in the College of Science/ University of Baghdad to facilitate the task of completing some of the research requirements and to Prof.Dr. Issam M. Ali Al-Hashemi for his distinguished scientific effort in designing the Ayah 6SX1-ST-2D solar cell CFI analyzer, by which the work methodology in this study was completed. Conflict of Interest The authors declare that they have no conflicts of interest. Funding: None No. of sample Type of method t-test F-test New method tcal= �̅�𝒅 𝝈𝒏−𝟏 √𝒏 ttab at level of confidence 95% Fcal = S2 2/S 2 1 Ftab UV-Sp. Classical method Absorbance measurement at 207.2 nm Workable concentration (mmol/L) In 10 mL ---------------- In 100 mL Efficiency of determination Rec.% 1 0.9920 ---------------- 9.9200 99.1728 X̅d= - 0.5510 σn-1=0.6953 |-1.373| < 4.303 σ** n-1=0.3546 , S1 2 (CFIA) =0.1257 σ* n-1=1.0461 , S2 2 (UV-Sp.)=1.0944 8.7064 < 39.0000 0.0514 ------------- 10.286 102.84 2 0.9709 ------------------ 9.7097 97.1039 0.0480 ------------ 9.6100 96.1006 3 0.9986 ------------------ 9.9860 99.8200 0.0518 --------------- 10.377 103.7688 IHJPAS. 37 (1) 2024 279 References 1. Proth, C.M. Pathophysiology, Concepts of altered health States.7thed. St. Lippincott Williams and,Wilkins:Philadelphia,2005. https://library.villanova.edu/Casa/Record/1695408/Details?sid=2019237. 2. 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