Melola Discovery

← Melola Discovery

Jurnal

RETRACTED: Detection and Determination of Captopril Using Silver Nanoparticles Based Colorimetric Method

Journal of Science and Technology Research for Pharmacy · Vol. 4 No. 1 (2025) · hlm. 31–36

DOI
10.15294/jstrp.v4i1.8593
ISSN
2776-0685
Terbit
2025-07-10
Penerbit
Universitas Negeri Semarang
Bahasa
eng

Abstrak

This article has been retracted. Reason: This article has been retracted following a mutual agreement between the authors and the journal that the manuscript should not proceed to publication. The retraction is issued to ensure the integrity of the academic record Basic Health Research (Riskesdas) in 2018 showed an increase in the prevalence of hypertension in Indonesia. Captopril is one of the antihypertensive drugs that is often prescribed because it is affordable and effective in lowering blood pressure, but captopril also has several side effects. Therefore, the development of sensitive, simple, rapid and cost-effective analytical techniques for the determination of captopril is urgently needed. This research aims to develop a colorimetric detection of captopril using silver nanoparticles and analyze its performance in measuring the captopril in tablet samples. The parameters studied include linearity, sensitivity, accuracy and precision. The results of the research show that silver nanoparticles can be used for qualitative detection of captopril which is characterized by a color change and absorbance decrease of the sample solution. The results of the performance test of the developed method showed good results. The linearity test showed a correlation coefficient (r) of 0.9915 with the regression equation obtained was y = 0.263x + 129.26. The limit of detection (LOD) value is 0.0206 ppm and the limit of quantitation (LOQ) is 0.0687 ppm. In the accuracy test results, the recovery percentage (%recovery) was 95.3% and the precision test with the relative standard deviation (%RSD) obtained was 0.85%. The captopril content obtained in the 50 mg captopril tablet sample preparation was 98.0%.

Kata kunci

Jaringan kolaborasi para penulis

40 penulis · 97 tautan kepenulisan bersama

Arahkan kursor atau ketuk sebuah nama untuk menyorot rekan penulisnya. Klik dua kali untuk membuka halaman penulis.

  • State University of Semarang
  • Afiliasi tidak diketahui
  • Organisasi berbeda
  • Organisasi sama
  • Afiliasi tidak diketahui
  • Garis lebih tebal = lebih banyak artikel bersama · lingkaran lebih besar = lebih banyak artikel
Tampilkan sebagai tabel
Rekan penulisOrganisasiArtikel bersama
Agung Tri PrasetyaState University of Semarang5
Eko Budi SusatyoAfiliasi tidak diketahui3
Wisnu SunartoAfiliasi tidak diketahui2
Charisma ChalifAfiliasi tidak diketahui1
Zaneta Nur FaidaAfiliasi tidak diketahui1
Sistia Asfa FiqrotinnisaAfiliasi tidak diketahui1
HarjonoState University of Semarang1
F. ‪Widhi MahatmantiAfiliasi tidak diketahui1
Riska Putri MawarniAfiliasi tidak diketahui1
Hanifah Az-ZahraAfiliasi tidak diketahui1
Erwin Budi PamungkasAfiliasi tidak diketahui1
Gayuh Ganata Imam SofyanAfiliasi tidak diketahui1
Riera Asti WulaningrumAfiliasi tidak diketahui1
Himnil KhusnaAfiliasi tidak diketahui1
Novilla AnggasariAfiliasi tidak diketahui1
Winarni PratjojoAfiliasi tidak diketahui1
Arfah Ratna Puri GustianAfiliasi tidak diketahui1
Ervina Nur HidayatiAfiliasi tidak diketahui1
Nova Shintia BokauAfiliasi tidak diketahui1
Dyah SetyaningrumAfiliasi tidak diketahui1
Aurelia Anggit Widya MunikaAfiliasi tidak diketahui1
Endang SusilaningsihState University of Semarang1
Zumrotus Sa’adahAfiliasi tidak diketahui1
Suryat Hadi KusumaAfiliasi tidak diketahui1
Amallia KurniawatiAfiliasi tidak diketahui1
Puji RizqiAfiliasi tidak diketahui1
Nydia Ashfi AuhaAfiliasi tidak diketahui1
Nuril HudaAfiliasi tidak diketahui1
Ridho PrasetyoAfiliasi tidak diketahui1
Martin SulistyaniAfiliasi tidak diketahui1
Edy CahyonoState University of Semarang1
Dante AlighiriState University of Semarang1
Tri HandayaniAfiliasi tidak diketahui1
Nugrahaningsih WHAfiliasi tidak diketahui1
Adrian Maulana ZakyAfiliasi tidak diketahui1
Sabila AisyahAfiliasi tidak diketahui1
Bella PermatasariAfiliasi tidak diketahui1
Monica AvissaAfiliasi tidak diketahui1

Afiliasi berasal dari OpenAlex; metadata OAI-PMH jurnal tidak memuatnya. Penulis tanpa ID OpenAlex dicocokkan berdasarkan nama, sehingga dua orang bisa tergabung atau satu orang bisa terpisah.

Sumber metadata: OAI-PMH (metadata jurnal) https://journal.unnes.ac.id/journals/JSTRP/oai, pertama di-harvest 5 Nov 2026, terakhir terlihat 8 Nov 2026.
Metadata asli (oai_dc)
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en">RETRACTED: Detection and Determination of Captopril Using Silver Nanoparticles Based Colorimetric Method</dc:title>
	<dc:creator xml:lang="en">Rahmatika, Anida Hasna</dc:creator>
	<dc:creator xml:lang="en">Mohammad Alauhdin</dc:creator>
	<dc:subject xml:lang="en">Captopril</dc:subject>
	<dc:subject xml:lang="en">Tablets</dc:subject>
	<dc:subject xml:lang="en">Colorimetry</dc:subject>
	<dc:subject xml:lang="en">Silver Nanoparticles</dc:subject>
	<dc:description xml:lang="en">This article has been retracted.
Reason: This article has been retracted following a mutual agreement between the authors and the journal that the manuscript should not proceed to publication. The retraction is issued to ensure the integrity of the academic record
Basic Health Research (Riskesdas) in 2018 showed an increase in the prevalence of hypertension in Indonesia. Captopril is one of the antihypertensive drugs that is often prescribed because it is affordable and effective in lowering blood pressure, but captopril also has several side effects. Therefore, the development of sensitive, simple, rapid and cost-effective analytical techniques for the determination of captopril is urgently needed. This research aims to develop a colorimetric detection of captopril using silver nanoparticles and analyze its performance in measuring the captopril in tablet samples. The parameters studied include linearity, sensitivity, accuracy and precision. The results of the research show that silver nanoparticles can be used for qualitative detection of captopril which is characterized by a color change and absorbance decrease of the sample solution. The results of the performance test of the developed method showed good results. The linearity test showed a correlation coefficient (r) of 0.9915 with the regression equation obtained was y = 0.263x + 129.26. The limit of detection (LOD) value is 0.0206 ppm and the limit of quantitation (LOQ) is 0.0687 ppm. In the accuracy test results, the recovery percentage (%recovery) was 95.3% and the precision test with the relative standard deviation (%RSD) obtained was 0.85%. The captopril content obtained in the 50 mg captopril tablet sample preparation was 98.0%.</dc:description>
	<dc:publisher xml:lang="en">Universitas Negeri Semarang</dc:publisher>
	<dc:date>2025-07-10</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unnes.ac.id/journals/JSTRP/article/view/8593</dc:identifier>
	<dc:identifier>10.15294/jstrp.v4i1.8593</dc:identifier>
	<dc:source xml:lang="en">Journal of Science and Technology Research for Pharmacy; Vol. 4 No. 1 (2024): Journal of Science and Technology Research for Pharmacy; 31-36</dc:source>
	<dc:source>2776-0685</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journal.unnes.ac.id/journals/JSTRP/article/view/8593/4341</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2025 Journal of Science and Technology Research for Pharmacy</dc:rights>
</oai_dc:dc>