ArticleScientific reports2020
Raman Spectroscopy vs Quantitative Polymerase Chain Reaction In Early Stage Huanglongbing Diagnostics.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 57 citations in OpenAlex.
- Specificity and Selectivity of Raman Spectroscopy for the Detection of Dose-Dependent Heavy Metal Toxicities.Plant direct · 2025Article
- Raman spectroscopy as a tool for assessing plant growth in space and on lunar regolith simulants.NPJ microgravity · 2025Article
- Early detection and severity classification of verticillium wilt in cotton stems using Raman spectroscopy and machine learning.Frontiers in plant science · 2025Article
- Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- Nondestructive Detection of Corky Disease in Symptomless 'Akizuki' Pears via Raman Spectroscopy.Sensors (Basel, Switzerland) · 2024Article
- Vibrational spectroscopic profiling of biomolecular interactions between oak powdery mildew and oak leaves.Soft matter · 2024Article
- Contemporary applications of vibrational spectroscopy in plant stresses and phenotyping.Frontiers in plant science · 2024Review
- Identifying the earliest citrus responses toFrontiers in plant science · 2024Article
- Can Metabolomic Approaches Become a Tool for Improving Early Plant Disease Detection and Diagnosis with Modern Remote Sensing Methods? A Review.Sensors (Basel, Switzerland) · 2023Review
- Non-invasive identification of combined salinity stress and stalk rot disease caused by Colletotrichum graminicola in maize using Raman spectroscopy.Scientific reports · 2023Article
- Article
- Non-Invasive and Confirmatory Differentiation of Hermaphrodite from Both Male and Female Cannabis Plants Using a Hand-Held Raman Spectrometer.Molecules (Basel, Switzerland) · 2022Article
- Raman Method in Identification of Species and Varieties, Assessment of Plant Maturity and Crop Quality-A Review.Molecules (Basel, Switzerland) · 2022Review
- Sensor-based phenotyping of above-ground plant-pathogen interactions.Plant methods · 2022Review
- Raman spectroscopy enables highly accurate differentiation between young male and female hemp plants.Planta · 2022Article
- Nontargeted metabolomics-based multiple machine learning modeling boosts early accurate detection for citrus Huanglongbing.Horticulture research · 2022Article
- Raman Spectroscopy Enables Confirmatory Diagnostics of Fusarium Wilt in Asymptomatic Banana.Frontiers in plant science · 2022Article
- Raman Spectroscopy Enables Non-invasive and Confirmatory Diagnostics of Aluminum and Iron Toxicities in Rice.Frontiers in plant science · 2022Article
- Raman spectroscopy-based diagnostics of water deficit and salinity stresses in two accessions of peanut.Plant direct · 2021Article
- Raman spectroscopy enables phenotyping and assessment of nutrition values of plants: a review.Plant methods · 2021Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Raman spectroscopy (RS) is an emerging analytical technique that can be used to develop and deploy precision agriculture. RS allows for confirmatory diagnostic of biotic and abiotic stresses on plants. Specifically, RS can be used for Huanglongbing (HLB) diagnostics on both orange and grapefruit trees, as well as detection and identification of various fungal and viral diseases. The questions that remain to be answered is how early can RS detect and identify the disease and whether RS is more sensitive than qPCR, the "golden standard" in pathogen diagnostics? Using RS and HLB as case study, we monitored healthy (qPCR-negative) in-field grown citrus trees and compared their spectra to the spectra collected from healthy orange and grapefruit trees grown in a greenhouse with restricted insect access and confirmed as HLB free by qPCR. Our result indicated that RS was capable of early prediction of HLB and that nearly all in-field qPCR-negative plants were infected by the disease. Using advanced multivariate statistical analysis, we also showed that qPCR-negative plants exhibited HLB-specific spectral characteristics that can be distinguished from unrelated nutrition deficit characteristics. These results demonstrate that RS is capable of much more sensitive diagnostics of HLB compared to qPCR.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.