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Tian Y, Fan X, Chen K, Chen X, Peng W, Wang L, Wang F. Optical biomarker analysis for renal cell carcinoma obtained from preoperative and postoperative patients using ATR-FTIR spectroscopy. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2024; 318:124426. [PMID: 38763020 DOI: 10.1016/j.saa.2024.124426] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 04/19/2024] [Accepted: 05/07/2024] [Indexed: 05/21/2024]
Abstract
Renal cell carcinoma (RCC) is the most common malignant tumor in the urinary system, accounting for 80 % to 90 % for all renal malignancies. Traditional diagnostic methods like magnetic resonance imaging (MRI) and computed tomography (CT) lack the sensitivity and specificity as they lack specific biomarkers. These limitations impede effective monitoring of tumor recurrence. This study aims to employ Attenuated Total Reflection (ATR)-Fourier transform infrared (FTIR) spectroscopy, an optical technology sensitive to molecular groups, to analyze the potential optical biomarkers in urine and plasma samples from RCC patients pre- and post-surgery. The results reveal distinctive spectral information from both plasma and urine samples. Post-surgery urine spectra exhibit complexity compared to plasma, showing reduced content at 1072 cm-1, 1347 cm-1 and 1654 cm-1 bands, while increased content at 1112 cm-1, 1143 cm-1, 1447 cm-1, 3334 cm-1 and 3420 cm-1 bands. Utilizing machine learning models such as eXtreme Gradient Boosting (XGBoost), support vector machine (SVM), partial least squares (PLS), and artificial neural network (ANN), the study evaluated plasma and urine samples pre- and post-surgery. Remarkably, the XGBoost method excelled in distinguishing between tumor conditions and recovery, achieving an impressive AUC value of 0.99. These results underscore the potential of ATR-FTIR technology in identifying RCC optical biomarkers, with XGBoost showing promise as a valuable screening tool for RCC recurrence diagnosis.
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Affiliation(s)
- Yuchen Tian
- Department of Biochemistry and Molecular Biology, Shaanxi Provincial Key Laboratory of Clinical Genetics, School of Basic Medicine, Air Force Medical University, Xi'an 710032, China
| | - Xiaozheng Fan
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China
| | - Kun Chen
- Department of Anatomy, Histology and Embryology and K.K. Leung Brain Research Centre, School of Basic Medicine, Air Force Medical University, Xi'an 710032, China
| | - Xinyu Chen
- Department of Biochemistry and Molecular Biology, Shaanxi Provincial Key Laboratory of Clinical Genetics, School of Basic Medicine, Air Force Medical University, Xi'an 710032, China
| | - Wenyu Peng
- Department of Biochemistry and Molecular Biology, Shaanxi Provincial Key Laboratory of Clinical Genetics, School of Basic Medicine, Air Force Medical University, Xi'an 710032, China
| | - Li Wang
- School of Aerospace Medicine, Air Force Medical University, Xi'an, China
| | - Fuli Wang
- Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an 710032, China.
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Neves MM, Guerra RF, de Lima IL, Arrais TS, Guevara-Vega M, Ferreira FB, Rosa RB, Vieira MS, Fonseca BB, Sabino da Silva R, da Silva MV. Perspectives of FTIR as Promising Tool for Pathogen Diagnosis, Sanitary and Welfare Monitoring in Animal Experimentation Models: A Review Based on Pertinent Literature. Microorganisms 2024; 12:833. [PMID: 38674777 PMCID: PMC11052489 DOI: 10.3390/microorganisms12040833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 03/19/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Currently, there is a wide application in the literature of the use of the Fourier Transform Infrared Spectroscopy (FTIR) technique. This basic tool has also proven to be efficient for detecting molecules associated with hosts and pathogens in infections, as well as other molecules present in humans and animals' biological samples. However, there is a crisis in science data reproducibility. This crisis can also be observed in data from experimental animal models (EAMs). When it comes to rodents, a major challenge is to carry out sanitary monitoring, which is currently expensive and requires a large volume of biological samples, generating ethical, legal, and psychological conflicts for professionals and researchers. We carried out a survey of data from the relevant literature on the use of this technique in different diagnostic protocols and combined the data with the aim of presenting the technique as a promising tool for use in EAM. Since FTIR can detect molecules associated with different diseases and has advantages such as the low volume of samples required, low cost, sustainability, and provides diagnostic tests with high specificity and sensitivity, we believe that the technique is highly promising for the sanitary and stress and the detection of molecules of interest of infectious or non-infectious origin.
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Affiliation(s)
- Matheus Morais Neves
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
| | - Renan Faria Guerra
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
- Rodents Animal Facilities Complex, Federal University of Uberlandia, Uberlândia 38400-902, MG, Brazil;
| | - Isabela Lemos de Lima
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
| | - Thomas Santos Arrais
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
| | - Marco Guevara-Vega
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlândia 38408-100, MG, Brazil; (M.G.-V.); (R.S.d.S.)
| | - Flávia Batista Ferreira
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
| | - Rafael Borges Rosa
- Rodents Animal Facilities Complex, Federal University of Uberlandia, Uberlândia 38400-902, MG, Brazil;
| | - Mylla Spirandelli Vieira
- Faculty of Medicine, Maria Ranulfa Institute, Av. Vasconselos Costa 321, Uberlândia 38400-448, MG, Brazil;
| | | | - Robinson Sabino da Silva
- Innovation Center in Salivary Diagnostic and Nanotheranostics, Department of Physiology, Institute of Biomedical Sciences, Federal University of Uberlandia, Uberlândia 38408-100, MG, Brazil; (M.G.-V.); (R.S.d.S.)
| | - Murilo Vieira da Silva
- Biotechnology in Experimental Models Laboratory—LABME, Federal University of Uberlândia, Uberlândia 38405-330, MG, Brazil; (M.M.N.); (R.F.G.); (I.L.d.L.); (T.S.A.); (F.B.F.)
- Rodents Animal Facilities Complex, Federal University of Uberlandia, Uberlândia 38400-902, MG, Brazil;
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Lyu Y, Ao X, Wei Z, Cheng S, Zhou X, Liu N, Wang X, Feng R, Li Z. Synergetic effect on fouling alleviating of membrane distillation in urine resource recovery by thermally activated peroxydisulfate pretreatment. ENVIRONMENTAL RESEARCH 2023; 237:117013. [PMID: 37648190 DOI: 10.1016/j.envres.2023.117013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Revised: 08/12/2023] [Accepted: 08/27/2023] [Indexed: 09/01/2023]
Abstract
Given that the spontaneous precipitation of minerals caused by urea hydrolysis and abundant organic compounds, membrane fouling became a major obstacle for urine recovery by membrane distillation (MD). Herein, this study developed a combined system (TAP-MD) by integrating thermally activated peroxydisulfate (TAP) and MD process to inhibit membrane fouling and improve separation efficiency. Based on the TAP-MD system, the separation performance was improved significantly, improving nutrient recovery efficiency and quality of reclaimed water. More than 80% of water could be recovered from urine, and about 94.13% of total ammonia nitrogen (TAN), 99.02% of total nitrogen (TN), 100% of total phosphate (TP), and 100% of K+ were rejected. The mechanism for alleviating urine-induced fouling was systematically and intensively studied. With TAP pretreatment, the TAN concentration of pretreated urine was kept at a low level steadily and the pH was at neutral or weakly acidic. Hence, inorganic scaling represented by carbonate and phosphate precipitates were significantly inhibited by creating unfavorable solvent environment for crystallization with TAP pretreatment. Additionally, aromatic proteins were found as the main organic foulants. According to the secondary structure of protein, the proteins were degraded by the cleavage of peptide bonds by TAP pretreatment. Meanwhile, the hydrophilicity of protein increased, which reduced the hydrophobic interaction of protein and membrane surface and thus alleviated protein-induced membrane fouling. This study revealed the inorganic and organic foulants in urine that caused membrane fouling and demonstrated the mechanism of membrane fouling alleviation by TAP-MD system. The experimental results will be instrumental in better understanding the mechanisms of membrane fouling induced by urine and optimize MD process for resource recovery from urine.
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Affiliation(s)
- Yaping Lyu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Xiuwei Ao
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Zongsu Wei
- Centre for Water Technology (WATEC), Department of Biological and Chemical Engineering, Aarhus University, Universitetsbyen 36, 8000, Aarhus C, Denmark.
| | - Shikun Cheng
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Xiaoqin Zhou
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Nana Liu
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Xuemei Wang
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Rui Feng
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
| | - Zifu Li
- School of Energy and Environmental Engineering, University of Science and Technology Beijing, Beijing, 100083, PR China; Beijing Key Laboratory of Resource-oriented Treatment of Industrial Pollutants, University of Science and Technology Beijing, Beijing, 100083, PR China.
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Sarigul N, Bozatli L, Kurultak I, Korkmaz F. Using urine FTIR spectra to screen autism spectrum disorder. Sci Rep 2023; 13:19466. [PMID: 37945643 PMCID: PMC10636094 DOI: 10.1038/s41598-023-46507-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 11/01/2023] [Indexed: 11/12/2023] Open
Abstract
Autism spectrum disorder (ASD) is a heterogeneous neurodevelopmental disorder caused by multiple factors, lacking clear biomarkers. Diagnosing ASD still relies on behavioural and developmental signs and usually requires lengthy observation periods, all of which are demanding for both clinicians and parents. Although many studies have revealed valuable knowledge in this field, no clearly defined, practical, and widely acceptable diagnostic tool exists. In this study, 26 children with ASD (ASD+), aged 3-5 years, and 26 sex and age-matched controls are studied to investigate the diagnostic potential of the Attenuated Total Reflectance-Fourier Transform Infrared (ATR-FTIR) spectroscopy. The urine FTIR spectrum results show a downward trend in the 3000-2600/cm region for ASD+ children when compared to the typically developing (TD) children of the same age. The average area of this region is 25% less in ASD+ level 3 children, 29% less in ASD+ level 2 children, and 16% less in ASD+ level 1 children compared to that of the TD children. Principal component analysis was applied to the two groups using the entire spectrum window and five peaks were identified for further analysis. The correlation between the peaks and natural urine components is validated by artificial urine solutions. Less-than-normal levels of uric acid, phosphate groups, and ammonium ([Formula: see text]) can be listed as probable causes. This study shows that ATR-FTIR can serve as a practical and non-invasive method to screen ASD using the high-frequency region of the urine spectrum.
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Affiliation(s)
- Neslihan Sarigul
- Institute of Nuclear Science, Hacettepe University, Ankara, Turkey.
| | - Leyla Bozatli
- Department of Child and Adolescent Psychiatry, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Ilhan Kurultak
- Department of Nephrology, Faculty of Medicine, Trakya University, Edirne, Turkey
| | - Filiz Korkmaz
- Biophysics Laboratory, Faculty of Engineering, Atilim University, Ankara, Turkey
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Hasni S, Khelil A, Mahcene Z, Bireche K, Çebi N, Rahmani Y, Brahimi Z, Ahhmed A. Physical and biochemical characterization of dromedary milk as traditionally consumed by Bedouins. Food Chem 2023; 401:134191. [DOI: 10.1016/j.foodchem.2022.134191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2022] [Revised: 09/06/2022] [Accepted: 09/07/2022] [Indexed: 10/14/2022]
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The Convergence of FTIR and EVs: Emergence Strategy for Non-Invasive Cancer Markers Discovery. Diagnostics (Basel) 2022; 13:diagnostics13010022. [PMID: 36611313 PMCID: PMC9818376 DOI: 10.3390/diagnostics13010022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 12/01/2022] [Accepted: 12/19/2022] [Indexed: 12/24/2022] Open
Abstract
In conjunction with imaging analysis, pathology-based assessments of biopsied tissue are the gold standard for diagnosing solid tumors. However, the disadvantages of tissue biopsies, such as being invasive, time-consuming, and labor-intensive, have urged the development of an alternate method, liquid biopsy, that involves sampling and clinical assessment of various bodily fluids for cancer diagnosis. Meanwhile, extracellular vesicles (EVs) are circulating biomarkers that carry molecular profiles of their cell or tissue origins and have emerged as one of the most promising biomarkers for cancer. Owing to the biological information that can be obtained through EVs' membrane surface markers and their cargo loaded with biomolecules such as nucleic acids, proteins, and lipids, EVs have become useful in cancer diagnosis and therapeutic applications. Fourier-transform infrared spectroscopy (FTIR) allows rapid, non-destructive, label-free molecular profiling of EVs with minimal sample preparation. Since the heterogeneity of EV subpopulations may result in complicated FTIR spectra that are highly diverse, computational-assisted FTIR spectroscopy is employed in many studies to provide fingerprint spectra of malignant and non-malignant samples, allowing classification with high accuracy, specificity, and sensitivity. In view of this, FTIR-EV approach carries a great potential in cancer detection. The progression of FTIR-based biomarker identification in EV research, the rationale of the integration of a computationally assisted approach, along with the challenges of clinical translation are the focus of this review.
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A Novel Infrared Spectroscopy Method for Analysis of Stone Dust for Establishing Final Composition of Urolithiasis. EUR UROL SUPPL 2022; 47:36-42. [PMID: 36601044 PMCID: PMC9806700 DOI: 10.1016/j.euros.2022.11.007] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/14/2022] [Indexed: 12/23/2022] Open
Abstract
Background The introduction of the holmium laser for lithotripsy and minimally invasive techniques in endoscopy increased the popularity of stone dusting techniques. Retrieving stone pieces for an analysis increases the economic burden of surgery and operative time. Novel methods are needed for the analysis of convenient urolithiasis composition. Objective This study aims to assess the efficacy of the stone dust Fourier transform infrared spectroscopy coupled with attenuated total reflection (FTIR ATR) method for accurate stone composition determination from the dust specimens compared with simultaneously retrieved standard stone fragments. Design setting and participants From July 2021 to March 2022, a total of 75 patients who received endoscopic treatment for urolithiasis were included in this study. Outcome measurements and statistical analysis The accuracy of the FTIR ATR method was assessed via estimates of sensitivity, specificity, negative predictive value (NPV), and positive predictive value (PPV). The results were compared between samples of stone dust and the final stone composition. Results and limitations Total or partial biochemical composition agreement was observed in 92.7% of cases and total agreement in 82.4% of cases when stone dust was compared with stone fragments. The highest accuracy rates were obtained for uric acid stones: sensitivity 100%, specificity 98.3%, PPV 90.9%, and NPV 100%. Identification of other types of stones was also of high accuracy, reaching up to 83.3% sensitivity and 100% specificity. Conclusions The application of FTIR ATR spectroscopy for a stone dust analysis allows obtaining easy and cost-effective final composition of urolithiasis without a stone fragment analysis. This technique was shown to be feasible, and there is substantial potential for clinical practice. Patient summary This study investigates a novel method that determines accurate stone composition without acquiring the pieces of stone during surgery. The results have shown that stone dust Fourier transform infrared spectroscopy coupled with attenuated total reflection provides accurate stone composition.
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Urinalysis of individuals with renal hyperfiltration using ATR-FTIR spectroscopy. Sci Rep 2022; 12:20887. [PMID: 36463336 PMCID: PMC9719484 DOI: 10.1038/s41598-022-25535-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 11/30/2022] [Indexed: 12/04/2022] Open
Abstract
Abnormal increased glomerular filtration rate (GFR), otherwise known as renal hyperfiltration (RHf), is associated with an increased risk of chronic kidney disease and cardiovascular mortality. Although it is not considered as a disease alone in medicine today, early detection of RHf is essential to reducing risk in a timely manner. However, detecting RHf is a challenge since it does not have a practical biochemical marker that can be followed or quantified. In this study, we tested the ability of ATR-FTIR spectroscopy to distinguish 17 individuals with RHf (hyperfiltraters; RHf (+)), from 20 who have normal GFR (normofiltraters; RHf(-)), using urine samples. Spectra collected from hyperfiltraters were significantly different from the control group at positions 1621, 1390, 1346, 933 and 783/cm. Intensity changes at these positions could be followed directly from the absorbance spectra without the need for pre-processing. They were tentatively attributed to urea, citrate, creatinine, phosphate groups, and uric acid, respectively. Using principal component analysis (PCA), major peaks of the second derivative forms for the classification of two groups were determined. Peaks at 1540, 1492, 1390, 1200, 1000 and 840/cm were significantly different between the two groups. Statistical analysis showed that the spectra of normofiltraters are similar; however, those of hyperfiltraters show diversity at multiple positions that can be observed both from the absorbance spectra and the second derivative profiles. This observation implies that RHf can simultaneously affect the excretion of many substances, and that a spectroscopic analysis of urine can be used as a rapid and non-invasive pre-screening tool.
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Bordbar MM, Samadinia H, Sheini A, Aboonajmi J, Javid M, Sharghi H, Ghanei M, Bagheri H. Non-invasive detection of COVID-19 using a microfluidic-based colorimetric sensor array sensitive to urinary metabolites. Mikrochim Acta 2022; 189:316. [PMID: 35927498 PMCID: PMC9361914 DOI: 10.1007/s00604-022-05423-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2022] [Accepted: 07/15/2022] [Indexed: 01/17/2023]
Abstract
A colorimetric sensor array designed on a paper substrate with a microfluidic structure has been developed. This array is capable of detecting COVID-19 disease by tracking metabolites of urine samples. In order to determine minor metabolic changes, various colorimetric receptors consisting of gold and silver nanoparticles, metalloporphyrins, metal ion complexes, and pH-sensitive indicators are used in the array structure. By injecting a small volume of the urine sample, the color pattern of the sensor changes after 7 min, which can be observed visually. The color changes of the receptors (recorded by a scanner) are subsequently calculated by image analysis software and displayed as a color difference map. This study has been performed on 130 volunteers, including 60 patients infected by COVID-19, 55 healthy controls, and 15 cured individuals. The resulting array provides a fingerprint response for each category due to the differences in the metabolic profile of the urine sample. The principal component analysis-discriminant analysis confirms that the assay sensitivity to the correctly detected patient, healthy, and cured participants is equal to 73.3%, 74.5%, and 66.6%, respectively. Apart from COVID-19, other diseases such as chronic kidney disease, liver disorder, and diabetes may be detectable by the proposed sensor. However, this performance of the sensor must be tested in the studies with a larger sample size. These results show the possible feasibility of the sensor as a suitable alternative to costly and time-consuming standard methods for rapid detection and control of viral and bacterial infectious diseases and metabolic disorders.
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Affiliation(s)
- Mohammad Mahdi Bordbar
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hosein Samadinia
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Azarmidokht Sheini
- Department of Mechanical Engineering, Shohadaye Hoveizeh Campus of Technology, Shahid Chamran University of Ahvaz, Dashte Azadegan, Khuzestan, Iran
| | - Jasem Aboonajmi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Mohammad Javid
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hashem Sharghi
- Department of Chemistry, College of Sciences, Shiraz University, Shiraz, Iran
| | - Mostafa Ghanei
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran
| | - Hasan Bagheri
- Chemical Injuries Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
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Ortega-Hernández N, Ortega-Romero M, Medeiros-Domingo M, Barbier OC, Rojas-López M. Detection of Biomarkers Associated with Acute Kidney Injury by a Gold Nanoparticle Based Colloidal Nano-Immunosensor by Fourier-Transform Infrared Spectroscopy with Principal Component Analysis. ANAL LETT 2022. [DOI: 10.1080/00032719.2022.2053982] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022]
Affiliation(s)
- Noelia Ortega-Hernández
- Instituto Politécnico Nacional, Centro de Investigación en Biotecnología Aplicada, Ex Hacienda de San Juan Molino, Tepetitla, Tlaxcala 90700, México
| | - Manolo Ortega-Romero
- Departamento de Toxicología, Cinvestav, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México
- Unidad de Investigación y Diagnóstico en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez (HIMFG), Ciudad de México, México
| | - Mara Medeiros-Domingo
- Unidad de Investigación y Diagnóstico en Nefrología y Metabolismo Mineral Óseo, Hospital Infantil de México Federico Gómez (HIMFG), Ciudad de México, México
| | - Olivier Christophe Barbier
- Departamento de Toxicología, Cinvestav, Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Ciudad de México, México
| | - Marlon Rojas-López
- Instituto Politécnico Nacional, Centro de Investigación en Biotecnología Aplicada, Ex Hacienda de San Juan Molino, Tepetitla, Tlaxcala 90700, México
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Sharma S, Kaur H, Singh R. Sex discrimination from urine traces for forensic purposes using attenuated total reflectance Fourier transform infrared spectroscopy and multivariate data analysis. Int J Legal Med 2022; 136:1755-1765. [PMID: 35083508 DOI: 10.1007/s00414-022-02782-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Accepted: 01/19/2022] [Indexed: 11/25/2022]
Abstract
The characteristics of ATR FT-IR spectroscopy are extremely attractive and escalating popularity in the field of body fluid analysis owing to its non-destructive, rapid, and reliable nature. Herein, the present study establishes that how ATR FT-IR spectroscopy could be utilized as a non-destructive, non-invasive, and confirmatory technique for sex discrimination from dry urine traces. Traces of body fluids are of paramount importance to criminal investigations as a major source of individualization by DNA profiling. However, the significance of DNA profiling from urine traces is highly diminished due to the small amount of DNA in urine traces. For that reason, the sex discrimination between the male and female donors is sorely desirable. In this study, ATR FT-IR spectroscopy in combination with partial least squares-discriminant analysis (PLS-DA) model unequivocally demonstrated the successful sex discrimination of an individual from dry traces of urine with 95.3% accuracy. PCA-Linear Discriminant Analysis (LDA) approach provided 85.2% of accuracy; however, PCA could not provide the sufficient findings for the discrimination of male and female urine spectra. The validation study was conducted and obtained 0% rates of false-positive and negative assignments. Additionally, this study also attended to assess the influence of substrates on the analysis of urine traces and results have been discussed.
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Affiliation(s)
- Sweety Sharma
- School of Forensic Science LNJN NICFS, National Forensic Science University, Delhi campus, Delhi, 110085, India
| | - Harpreet Kaur
- Department of Forensic Science, Punjabi University, Patiala, Punjab, 147002, India
| | - Rajinder Singh
- School of Forensic Science LNJN NICFS, National Forensic Science University, Delhi campus, Delhi, 110085, India
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