Pencitraan Inframerah Dekat dari Lemak Sapi pada Model Lemak Tissue

Chrisli Elfri Sahuleka

Abstract


All women concern for their beauty. Some ways are done to obtain beauty with the use of creams, routine care in beauty clinics, up to plastic surgery by having liposuction on the desired part of the face. In the early procedures of plastic surgery, a 2-4cm incision is made on the skin before sucking the fat out. This cutting can cause various risks. Therefore, a non-destructive method is needed to identify the position of fat as a pre-plastic surgery procedure. Near Infrared Spectroscopy is a method for quickly and precisely identifying and measuring a sample without damaging it. This study aims to determine the area spectral and or wavelength sensitivity for fat and several other important components and to determine the position of fat from a one-dimensional image. The results show that the location of fat is in position 11-28. From this, it can be concluded that NIRS can inform the position of fat from a one-dimensional image.  


Keywords


Beauty; Fat; Image; Near Infrared Spectroscopy (NIRS).

Full Text:

PDF

References


ISAPS, “The International Study On Aesthetic/Cosmetic Procedures Performed In 2016,” International Society of Aesthetic Plastic Surgery, USA, 2016.

D. Antell and MD, “Get Gorgeous Now with Facial Liposuction,” Yourplasticsurgeryguide, 2008. .

U. Saha and D. Jackson, “Analysis of moisture, oil, and fatty acid composition of olives by near‐infrared spectroscopy: development and validation calibration models,” J. Sci. Food Agric., Sep. 2017.

M. Kamruzzaman, G. ElMasry, D.-W. Sun, and P. Allen, “Application of NIR hyperspectral imaging for discrimination of lamb muscles,” Elsevier, vol. 104, no. 3, pp. 332–340, 2011.

H. Lukman, L. Wulandari, and Y. Retnaningtyas, “Penentuan Kadar Flavonoid pada Ekstrak Daun Tanaman Menggunakan Metode NIR dan Kemometrik,” E-J. Pustaka Kesehat., vol. 4, pp. 8–13, 2016.

R. Agustina, “Pendeteksian Kondisi Janin dengaan Near Infrared Spectroscopy yang Dikenal Melalui Metode Jaringan Syaraf Tiruan,” Fakultas Teknik Universitas Indonesia, Depok, 2012.

P. N, R. R, L. P, B. G, and A. S, “Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review,” Meat Sci., vol. 83, pp. 86–175, May 2009.

C. RA, A. M, W. LM, L. I, C. C, and M. NJ, “Near-infrared (NIR) laparoscopy for intraoperative lymphatic road-mapping and sentinel node identification during definitive surgical resection of early-stage colorectal neoplasia.,” Springer Link, vol. 26, no. 1, pp. 197–204.

F. Zhu, H. Zhang, Y. Shao, and Y. He, “Mapping of Fat and Moisture Distribution in Atlantic Salmon Using Near-Infrared Hyperspectral Imaging,” Spinger Link, vol. 7, no. 4, p. 12081214, 2013.

R. Lu, “Detection of bruise on apples using near-infrared hyperspectral imaging,” Am. Soc. Agric. Eng., vol. 46, pp. 1–8.

D. P. Ariana, R. Lu, and D. E. Guyer, “Near-infrared hyperspectral reflectance imaging for detection of bruises on pickling cucumbers,” Elsevier, vol. 53, pp. 60–70, 2006.

L. Karlinasari, M. Sabed, N. J. Wistara, and Y. A. Purwanto, “Karakteristik Spektra Absorbansi Nir (Near Infra Red) Spektroskopi Kayu Acacia Mangium Willd. Pada 3 Umur Berbeda,” J. Ilmu Kehutan., vol. 5, pp. 45–52, 2012.

J. N. Arippin, A. Sutresno, and F. S. Rondonuwu, “Identifikasi Susu Sapi Urni Dan Susu Sapi Yang Mengandung Peroksida Dengan Spektroskopi Inframerah Dekat Dengan Teknik Pca,” Pros. Semnar Nas. Sains Dan Pendidik. Sains IX Fak. Sains Dan Mat., vol. 5, pp. 193–196, Jun. 2014.

J. Rodgers and K. Beck, “NIR Characterization and Measurement of the Cotton Content of Dyed Blend Fabrics,” Text. Res. J., vol. 79, pp. 675–686.

H. Jiang, H. Zhuang, S. Miryeong, and W. Wang, “Measurement of Soy Contents in Ground Beef Using Near-Infrared Spectroscopy,” vol. 7, pp. 1–9, 2017.

J. W. Jr and L. Weyer, Practical Guide And Spectral Atlas For Interpretive Near-Infrared Spectroscopy. 2012.

L. C. E. C. Lengkey, I. W. Budiastra, K. B. Seminar, and B. S. Purwoko, “Model Pendugaan Kandungan Air, Lemak Dan Asam Lemak Bebas Pada Tiga Provenan Biji Jarak Pagar (Jatropha Curcas L.) Menggunakan Spektroskopi Inframerah Dekat Dengan Metode Partial Least Square (Pls),” J. Littri, vol. 19, pp. 203–211.

G. ElMasry, D.-W. Sun, and P. Allen, “Chemical-free assessment and mapping of major constituents in beef using hyperspectral imaging,” Elsevier, vol. 117, no. 2, pp. 235–246, 2013.




DOI: http://dx.doi.org/10.12962/j24604682.v15i3.4584

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.