Classification of gas chromatographic fingerprints of saffron using partial least squares discriminant analysis together with different variable selection methods

Aliakbarzadeh, Ghazaleh; Parastar, Hadi; Sereshti, Hassan

doi:10.1016/j.chemolab.2016.09.002

Cited by 46 publications

(23 citation statements)

References 39 publications

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“…Two classifiers including partial least squares discriminant analysis (PLS-DA) and support vector machine (SVM) were employed to discriminate the HLB infected leaves from the healthy and the nutrient deficient ones. The PLS-DA algorithm is an extension of the PLS model, where the dependent variable is a vector that represents the class label values for each class ( Aliakbarzadeh et al, 2016 ). The SVM classifier is developed based on the statistical learning theory to find a hyperplane that gives the largest distance between the margins of the training data set, and it can be achieved by solving a convex quadratic programming problem using a kernel function ( Chapelle et al, 2002 ; Cen et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing

et al. 2017

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Huanglongbing (HLB) is one of the most destructive diseases of citrus, which has posed a serious threat to the global citrus production. This research was aimed to explore the use of chlorophyll fluorescence imaging combined with feature selection to characterize and detect the HLB disease. Chlorophyll fluorescence images of citrus leaf samples were measured by an in-house chlorophyll fluorescence imaging system. The commonly used chlorophyll fluorescence parameters provided the first screening of HLB disease. To further explore the photosynthetic fingerprint of HLB infected leaves, three feature selection methods combined with the supervised classifiers were employed to identify the unique fluorescence signature of HLB and perform the three-class classification (i.e., healthy, HLB infected, and nutrient deficient leaves). Unlike the commonly used fluorescence parameters, this novel data-driven approach by using the combination of the mean fluorescence parameters and image features gave the best classification performance with the accuracy of 97%, and presented a better interpretation for the spatial heterogeneity of photochemical and non-photochemical components in HLB infected citrus leaves. These results imply the potential of the proposed approach for the citrus HLB disease diagnosis, and also provide a valuable insight for the photosynthetic response to the HLB disease.

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Section: Methodsmentioning

confidence: 99%

Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing

et al. 2017

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“…In this context, the examination of chromatographic fingerprints may be particularly relevant. A chromatographic fingerprint is a distinctive profile representing the complex chemical composition of a sample, and is frequently obtained by gas chromatography–mass spectrometry (GC–MS) . As such, fingerprint analysis has become a useful method for identifying herbs and evaluating the quality of herbal plants .…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, the World Health Organization (WHO) and the US Food and Drug Administration (FDA) have officially accepted this technique for the quality control of traditional herbal medicines. In previous reports, classification or identification techniques based on chromatographic fingerprints have been applied to discriminate the cultivars of dates ( Phoenix dactylifera L.), hot peppers ( Capsicum annuum L.), and licorice ( Glycyrrhiza glabra L.), in addition to the origins of saffron ( Crocus sativus L.) and turmeric ( Curcuma longa L.) . However, to the best of our knowledge, few reports have been published concerning comprehensive classification and discrimination methods for commercial spices based on their volatile fingerprints.…”

Section: Introductionmentioning

confidence: 99%

Authentication of commercial spices based on the similarities between gas chromatographic fingerprints

et al. 2018

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“…Örneğin, bir sınıfın duyarlılığı diğer sınıfın özgüllüğüne eşittir ve bu ifadenin tam tersi de geçerlidir. Sınıf doğruluk, duyarlılık ve özgüllük değerleri 0 ile 1 arasında değer alır ve herhangi bir sınıfa atanamayan gözlemler hesaplamalara dahil edilmemektedir [33,34].…”

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Asya Ülkelerinin Beklenen Yaşam Süresi Bakımından Sınıflandırılmasında Etkili Olan Sosyoekonomik Değişkenlerin Kısmi En Küçük Kareler Diskriminant Analizi ile Belirlenmesi

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Kozan

2020

Bitlis Eren Üniversitesi Fen Bilimleri Dergisi

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Öz Her ne kadar son yıllarda yapılan çalışmalar doğumda yaşam beklentisinin (DYB) hemen hemen tüm toplumlarda artmakta olduğunu göstermiş olsa da, ölümlerde ve dolayısıyla DYB'de toplum içinde olduğu gibi toplumlar arasında da önemli farklılıklar vardır. DYB'deki bu eşitsizliğin köklerinin, farklı sosyal grupların farklı sosyoekonomik arka planlarında olduğuna inanılmaktadır. Yaşam beklentisi, en önemli sağlık sonuçlardan biri ve insani gelişmişliğin önemli bir göstergesi olarak kabul edilmektedir. Bu çalışmanın amacı, bir kaç sosyoekonomik değişkenin beklenen yaşam süresi ile ilişkisini araştırmak ve Asya'daki 51 ülke için DYB'ye etkili olan en önemli değişkenleri belirlemektir. Bu amaçla, Dünya Nüfus Veri Sayfası, 2015'den elde edilen veri kümesi üzerinde Kısmi En Küçük Kareler Diskriminant Analizi uygulanmıştır. Analiz sonucunda Asya ülkelerinin beklenen yaşam sürelerine göre Asya ortalamasının üstünde ve altında olmak üzere iki sınıf olarak sınıflandırılmasında en önemli/etkili değişkenin Bebek Ölüm Oranı olduğu görülmüştür.

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Classification of gas chromatographic fingerprints of saffron using partial least squares discriminant analysis together with different variable selection methods

Cited by 46 publications

References 39 publications

Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing

Chlorophyll Fluorescence Imaging Uncovers Photosynthetic Fingerprint of Citrus Huanglongbing

Authentication of commercial spices based on the similarities between gas chromatographic fingerprints

Asya Ülkelerinin Beklenen Yaşam Süresi Bakımından Sınıflandırılmasında Etkili Olan Sosyoekonomik Değişkenlerin Kısmi En Küçük Kareler Diskriminant Analizi ile Belirlenmesi

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