2019
DOI: 10.1016/j.chemosphere.2018.11.086
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4-Nonylphenol effects on rat testis and sertoli cells determined by spectrochemical techniques coupled with chemometric analysis

Abstract: CLoK Central Lancashire online Knowledge www.clok.uclan.ac.uk 4-Nonylphenol effects on rat testis and Sertoli cells determined by spectrochemical techniques coupled with chemometric analysis

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Cited by 20 publications
(44 citation statements)
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References 63 publications
(98 reference statements)
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“…Based on the PCA‐LDA, each spectrum can be assigned scores for both LD1 and LD2. If these discriminant scores are delineated on the two‐dimensional (2D) scores plot, then the segregation between classes with their similarities/dissimilarities can be identified on the basis of the distance between clusters . The risk of overfitting is reduced in LDA by applying cross‐validation.…”
Section: Methodsmentioning
confidence: 99%
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“…Based on the PCA‐LDA, each spectrum can be assigned scores for both LD1 and LD2. If these discriminant scores are delineated on the two‐dimensional (2D) scores plot, then the segregation between classes with their similarities/dissimilarities can be identified on the basis of the distance between clusters . The risk of overfitting is reduced in LDA by applying cross‐validation.…”
Section: Methodsmentioning
confidence: 99%
“…Intensity ratios of Raman peaks 1303 cm −1 /1267 cm −1 and 1654 cm −1 /1445 cm −1 could be used to evaluate the levels of saturated and unsaturated lipids , respectively. The unsaturated‐to‐saturated lipids ratio was obtained by calculating the intensity ratio of (1303 cm −1 /1267 cm −1 )/(1654 cm −1 /1445 cm −1 ).…”
Section: Methodsmentioning
confidence: 99%
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“…4-nonylphenol (NP) as a member of the endocrine disrupters is extensively used as nonionic surfactants in a variety of industrial and agricultural products. This disruptor causes various problems in the normal, hormonal function of animals or human beings [12, 13, 14, 15]. Therefore, developing novel methods for determination of NP and detection of its damage to DNA are highly demanded.…”
Section: Introductionmentioning
confidence: 99%
“…In classification applications, samples are assigned to groups based on their IR spectrochemical signature. This includes, for example, differentiation of brain tumour types (3), identification of neurodegenerative diseases (4), cervical cancer screening (5), endometrial and ovarian cancer identification (6), identification of prostate cancer tissue samples (7), differentiation of endometrial tissue regions (8), toxicology screening (9,10), and microbiologic studies involving fungi and virus identification (11)(12)(13). However, before model construction, a fundamental step is to split the spectral dataset into at least two subsets: training and test.…”
Section: Introductionmentioning
confidence: 99%