Estimating the Intra-Puparial Period of Chrysomya nigripes Aubertin Using Morphology and Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy

<i>Chrysomya nigripes</i> Aubertin, 1932, is a species of Calliphoridae widely distributed in Southeast Asia, with studies and case reports confirming the value of this species in estimating the minimum postmortem interval (PMI<sub>min</sub>). However, data on the growth and development of this species' intra-puparial age are not yet complete. Here, we investigated the intra-puparial morphological changes of <i>C. nigripes</i> at seven temperatures, ranging from 16 °C to 34 °C. We also investigated the potential value of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) coupled with chemometric methods for the intra-puparial age estimation of <i>C. nigripes</i> at 19 °C, 25 °C, and 31 °C. The spectral data within the wavenumber range of 1800-900 cm<sup>-1</sup>, collected from the second thoracic segment of all puparia, were processed. Through this procedure, the mean values of ATR-FTIR spectra of <i>C. nigripes</i> of puparia at each intra-puparial age under various constant temperature conditions were obtained. The results showed that at 16 °C, <i>C. nigripes</i> could not complete its developmental process, while it could do so at the remaining six constant temperatures. With an increase in temperature, the average duration of the intra-puparial period was reduced from the longest at 19 °C of 192 ± 0 h to 77.3 ± 4.6 h at 34 °C. The intra-puparial morphological changes were divided into 12 sub-stages, and the development of the compound eyes, mouthparts, antennae, thorax, legs, wings, and abdomen were divided into 6-8 sub-stages. The Partial Least Squares Discriminant Analysis (PLS-DA) classification model predicted better results compared to the Random Forest (RF) classification model, with an accuracy of 58.3%, 77.8%, and 100% at 19 °C, 25 °C, and 31 °C, respectively. In this study, each sub-stage of the <i>C. nigripes</i> pupa and the time range of structure emergence were recorded, and it was concluded that the spectral trends were time-dependent. Thus, ATR-FTIR combined with chemometrics could also be used as a tool to assist in estimating the intra-puparial stage of <i>C. nigripes</i> and provide a reference value for PMI<sub>min</sub>.

Authors

Institutions

Publication Details

Journal
Insects
Published
2025-05-01
DOI
https://doi.org/10.3390/insects16050480
Citations
3
Primary Topic
Forensic Entomology and Diptera Studies
Type
article
Field-Weighted Citation Impact
5.02

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Estimating the Intra-Puparial Period of Chrysomya nigripes Aubertin Using Morphology and Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy

Yundi Gao, Yi Guo, Jiangfeng Wang, Gengwang Hu et al.
3 citations
Insects
Forensic Entomology and Diptera Studies
5.02
article

Estimating the Intra-Puparial Period of Chrysomya nigripes Aubertin Using Morphology and Attenuated Total Reflection Fourier Transform Infrared (ATR-FTIR) Spectroscopy

Yundi Gao, Yi Guo, Jiangfeng Wang, Gengwang Hu, Yu Wang, Liangliang Li, Xin Tang, Na Chen
article en
3 citations

Abstract

<i>Chrysomya nigripes</i> Aubertin, 1932, is a species of Calliphoridae widely distributed in Southeast Asia, with studies and case reports confirming the value of this species in estimating the minimum postmortem interval (PMI<sub>min</sub>). However, data on the growth and development of this species' intra-puparial age are not yet complete. Here, we investigated the intra-puparial morphological changes of <i>C. nigripes</i> at seven temperatures, ranging from 16 °C to 34 °C. We also investigated the potential value of Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) coupled with chemometric methods for the intra-puparial age estimation of <i>C. nigripes</i> at 19 °C, 25 °C, and 31 °C. The spectral data within the wavenumber range of 1800-900 cm<sup>-1</sup>, collected from the second thoracic segment of all puparia, were processed. Through this procedure, the mean values of ATR-FTIR spectra of <i>C. nigripes</i> of puparia at each intra-puparial age under various constant temperature conditions were obtained. The results showed that at 16 °C, <i>C. nigripes</i> could not complete its developmental process, while it could do so at the remaining six constant temperatures. With an increase in temperature, the average duration of the intra-puparial period was reduced from the longest at 19 °C of 192 ± 0 h to 77.3 ± 4.6 h at 34 °C. The intra-puparial morphological changes were divided into 12 sub-stages, and the development of the compound eyes, mouthparts, antennae, thorax, legs, wings, and abdomen were divided into 6-8 sub-stages. The Partial Least Squares Discriminant Analysis (PLS-DA) classification model predicted better results compared to the Random Forest (RF) classification model, with an accuracy of 58.3%, 77.8%, and 100% at 19 °C, 25 °C, and 31 °C, respectively. In this study, each sub-stage of the <i>C. nigripes</i> pupa and the time range of structure emergence were recorded, and it was concluded that the spectral trends were time-dependent. Thus, ATR-FTIR combined with chemometrics could also be used as a tool to assist in estimating the intra-puparial stage of <i>C. nigripes</i> and provide a reference value for PMI<sub>min</sub>.

InsectsVol. 16(5)
Soochow University (CN), Shandong University of Political Science and Law (CN)
National Natural Science Foundation of China, Soochow University
Openalex Percentile: Top 6%
Forensic Entomology and Diptera Studies
5.02
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.